default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, October 2019
- Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. - Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. - Ye Lyu, George Vosselman, Guisong Xia, Michael Ying Yang:
LIP: Learning Instance Propagation for Video Object Segmentation. - Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash:
Hidden Trigger Backdoor Attacks. - Laltu Sardar, Sushmita Ruj:
FSPVDsse: A Forward Secure Publicly Verifiable Dynamic SSE scheme. - Parham Gohari, Bo Wu, Matthew T. Hale, Ufuk Topcu:
The Dirichlet Mechanism for Differential Privacy on the Unit Simplex. - Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Xiaoyu Li, Aniket Bera, Dinesh Manocha:
GraphRQI: Classifying Driver Behaviors Using Graph Spectrums. - Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata:
Semantic Graph Parsing with Recurrent Neural Network DAG Grammars. - Jie Gao, Terrence Wong, Chun Wang, Jia Yuan Yu:
A Price-Based Iterative Double Auction for Charger Sharing Markets. - Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health. - Sadegh M. Milajerdi, Birhanu Eshete, Rigel Gjomemo, V. N. Venkatakrishnan:
POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting. - Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi:
Synthesizing Action Sequences for Modifying Model Decisions. - Po-Yao Huang, Xiaojun Chang
, Alexander G. Hauptmann:
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations. - Georgi Nalbantov, Svetoslav Ivanov:
Tutorial on Implied Posterior Probability for SVMs. - Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations. - Shawkat Sabah Khairullah:
A Self-Healing Hardware Architecture for Safety-Critical Digital Embedded Devices. - Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. - Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash:
Adversarial Patches Exploiting Contextual Reasoning in Object Detection. - Jehandad Khan, Paul Fultz, Artem Tamazov, Daniel Lowell, Chao Liu, Michael Melesse, Murali Nandhimandalam, Kamil Nasyrov, Ilya Perminov, Tejash Shah, Vasilii Filippov, Jing Zhang, Jing Zhou, Bragadeesh Natarajan, Mayank Daga:
MIOpen: An Open Source Library For Deep Learning Primitives. - Nitant Upasani, Krishnendra Shekhawat, Garv Sachdeva:
Automated Generation of Dimensioned Rectangular Floorplans. - Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. - Hailiang Liu, Peimeng Yin:
A mixed discontinuous Galerkin method without interior penalty for time-dependent fourth order problems. - Longsheng Jiang, Yue Wang:
Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model. - Marco Pegoraro, Wil M. P. van der Aalst:
Mining Uncertain Event Data in Process Mining. - Wendelin Böhmer, Vitaly Kurin, Shimon Whiteson:
Deep Coordination Graphs. - Jiayi Zhang, Emil Björnson, Michail Matthaiou, Derrick Wing Kwan Ng, Hong Yang, David J. Love:
Multiple Antenna Technologies for Beyond 5G. - Felix Grimminger, Avadesh Meduri, Majid Khadiv, Julian Viereck, Manuel Wüthrich, Maximilien Naveau, Vincent Berenz, Steve Heim, Felix Widmaier, Jonathan Fiene, Alexander Badri-Spröwitz, Ludovic Righetti:
An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research. - Thomas Brihaye, Gilles Geeraerts, Marion Hallet, Benjamin Monmege, Bruno Quoitin:
Dynamics on Games: Simulation-Based Techniques and Applications to Routing. - Mir Muntasir Hossain, Satyendra N. Biswas:
Analysis and Design of a 32nm FinFET Dynamic Latch Comparator. - Wenhao Ding, Mengdi Xu, Ding Zhao:
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios. - Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic:
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. - Maymoonah Toubeh, Pratap Tokekar:
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception. - Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon:
Cross Domain Imitation Learning. - Joe T. Rexwinkle, Gregory Lieberman, Matthew Jaswa, Brent J. Lance:
Development of a Game with a Purpose for Acquisition of Brain-Computer Interface Data. - Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Q-learning for POMDP: An application to learning locomotion gaits. - Zlatko Drmac, Benjamin Peherstorfer:
Learning low-dimensional dynamical-system models from noisy frequency-response data with Loewner rational interpolation. - Andrew J. Lohn:
Defense in Depth: The Basics of Blockade and Delay. - Yuanlu Xu, Song-Chun Zhu, Tony Tung:
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. - Dimitri P. Bertsekas:
Multiagent Rollout Algorithms and Reinforcement Learning. - Christian Beck, Arnulf Jentzen, Benno Kuckuck:
Full error analysis for the training of deep neural networks. - Katarzyna Kozdon, Peter J. Bentley:
Normalisation of Weights and Firing Rates in Spiking Neural Networks with Spike-Timing-Dependent Plasticity. - Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola:
Meta-Q-Learning. - Max Bajracharya, James Borders, Daniel M. Helmick, Thomas Kollar, Michael Laskey, John Leichty, Jeremy Ma, Umashankar Nagarajan, Akiyoshi Ochiai, Josh Petersen, Krishna Shankar, Kevin Stone, Yutaka Takaoka:
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes. - Toby Walsh:
SAT vs CSP: a commentary. - Jonathon Luiten, Tobias Fischer, Bastian Leibe:
Track to Reconstruct and Reconstruct to Track. - Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. - Johnathan Alsop, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Sooraj Puthoor, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann:
Optimizing GPU Cache Policies for MI Workloads. - Ioannis Caragiannis, George Christodoulou, Nicos Protopapas:
Impartial Selection with Additive Approximation Guarantees. - Victor Bogdan, Cosmin Bonchis, Ciprian Orhei:
Custom Extended Sobel Filters. - Pooya Moradi, Nishant Kambhatla, Anoop Sarkar:
Interrogating the Explanatory Power of Attention in Neural Machine Translation. - Hailiang Liu, Wumaier Maimaitiyiming:
Positive and free energy satisfying schemes for diffusion with interaction potentials. - Xiwei Liu, Zihan Li:
Finite time anti-synchronization of complex-valued neural networks with bounded asynchronous time-varying delays. - Matteo Varvello, Iñigo Querejeta-Azurmendi, Antonio Nappa, Panagiotis Papadopoulos, Goncalo Pestana, Benjamin Livshits:
VPN0: A Privacy-Preserving Decentralized Virtual Private Network. - Ahmed Nasrallah, Venkatraman Balasubramanian, Akhilesh S. Thyagaturu, Martin Reisslein, Hesham Elbakoury:
Large Scale Deterministic Networking: A Simulation Evaluation. - Xiang Lisa Li, Jason Eisner:
Specializing Word Embeddings (for Parsing) by Information Bottleneck. - Siqi Pan, Rodrigo A. González, James S. Welsh, Cristian R. Rojas:
Consistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems. - Hailiang Liu, Peimeng Yin:
Unconditionally energy stable DG schemes for the Swift-Hohenberg equation. - Luke Merrick:
Randomized Ablation Feature Importance. - Xue Bin Peng, Aviral Kumar, Grace Zhang, Sergey Levine:
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning. - Wenlei Bao, Li-Wen Chang, Yang Chen, Ke Deng, Amit Agarwal, Emad Barsoum, Abe Taha:
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques. - Arman Karimian, Roberto Tron:
Bearing-Only Consensus and Formation Control under Directed Topologies. - Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li:
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. - Hudson Borges, Rodrigo Brito, Marco Túlio Valente:
Beyond Textual Issues: Understanding the Usage and Impact of GitHub Reactions. - Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons:
The Non-IID Data Quagmire of Decentralized Machine Learning. - Denis Newman-Griffis, Eric Fosler-Lussier:
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings. - Sam Ganzfried, Conner Laughlin, Charles Morefield:
Parallel Algorithm for Approximating Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning. - Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan:
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations. - Mingwei Wei, David J. Schwab:
How noise affects the Hessian spectrum in overparameterized neural networks. - Siavash Rezaei, Eli Bozorgzadeh, Kanghee Kim:
UltraShare: FPGA-based Dynamic Accelerator Sharing and Allocation. - Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen:
Underwhelming Generalization Improvements From Controlling Feature Attribution. - Yunhao Ba, Guangyuan Zhao, Achuta Kadambi:
Blending Diverse Physical Priors with Neural Networks. - Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Analyzing Sentence Fusion in Abstractive Summarization. - Ehsan Amid, Manfred K. Warmuth:
TriMap: Large-scale Dimensionality Reduction Using Triplets. - Ahmed M. Bedewy, Yin Sun, Rahul Singh, Ness B. Shroff:
Optimal Age-Energy Trade-off via Sleep-Wake Scheduling. - Hardik Meisheri, Vinita Baniwal, Nazneen N. Sultana, Balaraman Ravindran, Harshad Khadilkar:
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems. - Jan Laukemann, Julian Hammer, Georg Hager, Gerhard Wellein:
Automatic Throughput and Critical Path Analysis of x86 and ARM Assembly Kernels. - Neri Merhav:
Noisy Guesses. - Akihiro Nakamura, Tatsuya Harada:
Revisiting Fine-tuning for Few-shot Learning. - Basilio Gentile, Dario Paccagnan, Bolutife Ogunsula, John Lygeros:
The Nash Equilibrium with Inertia in Population Games. - James Demmel, Laura Grigori, Alexander Rusciano:
An improved analysis and unified perspective on deterministic and randomized low rank matrix approximations. - Sam Ganzfried:
Mistakes in Games. - Leo Cazenille, Nicolas Bredèche, Nathanaël Aubert-Kato:
Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. - Irene Unceta, Diego Palacios, Jordi Nin, Oriol Pujol:
Sampling Unknown Decision Functions to Build Classifier Copies. - Krishnendu Chatterjee, Bhavya Choudhary, Andreas Pavlogiannis:
Optimal Dyck Reachability for Data-Dependence and Alias Analysis. - Weiyu Chen, Haiyang Ding, Shilian Wang, Daniel Benevides da Costa, Fengkui Gong:
Impartial SWIPT-Assisted User Cooperation Schemes. - Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
MTab: Matching Tabular Data to Knowledge Graph using Probability Models. - Hirofumi Inaguma, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Multilingual End-to-End Speech Translation. - Helge Spieker, Arnaud Gotlieb:
Adaptive Metamorphic Testing with Contextual Bandits. - Daniel Greenfeld, Uri Shalit:
Robust learning with the Hilbert-Schmidt independence criterion. - He Li, James J. Davis, John Wickerson, George A. Constantinides:
ARCHITECT: Arbitrary-precision Hardware with Digit Elision for Efficient Iterative Compute. - Jeroen Van Hautte, Guy Emerson, Marek Rei:
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models. - Matthias Bentert, René van Bevern, Till Fluschnik, André Nichterlein, Rolf Niedermeier:
Polynomial-Time Preprocessing for Weighted Problems Beyond Additive Goal Functions. - Richard Gerum:
pylustrator: Code generation for reproducible figures for publication. - Arslan Ashraf, Abdul Aziz, Umme Zahoora, Asifullah Khan:
Ransomware Analysis using Feature Engineering and Deep Neural Networks. - Attila Szabó, Givi Meishvili, Paolo Favaro:
Unsupervised Generative 3D Shape Learning from Natural Images. - Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. - Florian Schmidt:
Generalization in Generation: A closer look at Exposure Bias. - César Prouté, Bruno Yun, Madalina Croitoru:
Distance-Based Approaches to Repair Semantics in Ontology-based Data Access. - Yunsu Kim, Duc Thanh Tran, Hermann Ney:
When and Why is Document-level Context Useful in Neural Machine Translation? - Loris Nanni, Gianluca Maguolo, Fabio Pancino:
Research on insect pest image detection and recognition based on bio-inspired methods. - Sridhar Chellappa, Lihong Feng, Peter Benner:
An Adaptive Sampling Approach for the Reduced Basis Method. - Tommaso Zugno, Matteo Drago, Marco Giordani, Michele Polese, Michele Zorzi:
Towards Standardization of Millimeter Wave Vehicle-to-Vehicle Networks: Open Challenges and Performance Evaluation. - Felix Sauer, Matthias Niedermaier, Susanne Kießling, Dominik Merli:
LICSTER - A Low-cost ICS Security Testbed for Education and Research. - Fabian Frei, Edith Hemaspaandra, Jörg Rothe:
Complexity of Stability. - Thomas Bläsius, Tobias Friedrich, Martin Schirneck:
The Minimization of Random Hypergraphs. - Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykula:
A note on the empirical comparison of RBG and Ludii. - Carina Wiesen, Steffen Becker, Marc Fyrbiak, Nils Albartus, Malte Elson, Nikol Rummel, Christof Paar:
Teaching Hardware Reverse Engineering: Educational Guidelines and Practical Insights. - Yatin Chaudhary, Pankaj Gupta, Hinrich Schütze:
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions. - Vasilios Mavroudis, Hayden Melton:
Libra: Fair Order-Matching for Electronic Financial Exchanges. - Carina Wiesen, Nils Albartus, Max Hoffmann, Steffen Becker, Sebastian Wallat, Marc Fyrbiak, Nikol Rummel, Christof Paar:
Towards Cognitive Obfuscation: Impeding Hardware Reverse Engineering Based on Psychological Insights. - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph convolutional networks for learning with few clean and many noisy labels. - Bowen Zhang, Benedetta Tondi, Mauro Barni:
Attacking CNN-based anti-spoofing face authentication in the physical domain. - S. Soroush Haj Zargarbashi, Bagher BabaAli:
A Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease from Spoken Language. - Nicolas Bus, Ana Roxin, Guillaume Picinbono, Muhammad Fahad:
Towards French Smart Building Code: Compliance Checking Based on Semantic Rules. - Piotr Niewinski, Maria Pszona, Maria Janicka:
TMLab: Generative Enhanced Model (GEM) for adversarial attacks. - Bernd Kiefer, Anna Welker, Christophe Biwer:
VOnDA: A Framework for Ontology-Based Dialogue Management. - Dmytro Pavlichenko, Diego Rodriguez, Christian Lenz, Max Schwarz, Sven Behnke:
Autonomous Bimanual Functional Regrasping of Novel Object Class Instances. - Sebastian Wallat, Nils Albartus, Steffen Becker, Max Hoffmann, Maik Ender, Marc Fyrbiak, Adrian Drees, Sebastian Maaßen, Christof Paar:
Highway to HAL: Open-Sourcing the First Extendable Gate-Level Netlist Reverse Engineering Framework. - Moksh Jain, Sowmya Kamath S.:
Proximal Policy Optimization for Improved Convergence in IRGAN. - Jakub Náplava, Milan Straka:
Grammatical Error Correction in Low-Resource Scenarios. - Micah Goldblum, Jonas Geiping, Avi Schwarzschild, Michael Moeller, Tom Goldstein:
Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory. - Aidar Valeev, Ilshat Gibadullin, Albina Khusainova, Adil Khan:
Application of Low-resource Machine Translation Techniques to Russian-Tatar Language Pair. - Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Sub-Architecture Ensemble Pruning in Neural Architecture Search. - Ilshat Gibadullin, Aidar Valeev, Albina Khusainova, Adil Khan:
A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation. - Xiaoan Ding, Kevin Gimpel:
Latent-Variable Generative Models for Data-Efficient Text Classification. - Fei Wu, Thomas Michel, Alexandre Briot:
Leveraging Model Interpretability and Stability to increase Model Robustness. - Johannes Haupt, Daniel Jacob, Robin Marco Gubela, Stefan Lessmann:
Affordable Uplift: Supervised Randomization in Controlled Experiments. - David Isele, Alireza Nakhaei, Kikuo Fujimura:
Safe Reinforcement Learning on Autonomous Vehicles. - Guido Cantelmo, Moeid Qurashi, A. Arun Prakash, Constantinos Antoniou, Francesco Viti:
Incorporating Trip Chaining within Online Demand Estimation. - Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision Explanation and Feature Importance for Invertible Networks. - Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu:
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. - Jiachun Liao, Chong Huang, Peter Kairouz, Lalitha Sankar:
Learning Generative Adversarial RePresentations (GAP) under Fairness and Censoring Constraints. - Eric Müller-Budack, Jonas Theiner, Robert Rein, Ralph Ewerth:
"Does 4-4-2 exist?" - An Analytics Approach to Understand and Classify Football Team Formations in Single Match Situations. - Mieczyslaw A. Klopotek:
A Note On k-Means Probabilistic Poverty. - Sahar Mohajerani, Yiding Ji, Stéphane Lafortune:
Compositional and Abstraction-Based Approach for Synthesis of Edit Functions for Opacity Enforcement. - Khanh Nguyen, Hal Daumé III:
Global Voices: Crossing Borders in Automatic News Summarization. - Mandar Gogate, Ahsan Adeel, Kia Dashtipour, Peter Derleth, Amir Hussain:
AV Speech Enhancement Challenge using a Real Noisy Corpus. - Siwen Wang, Arum Lee, Emil Alexov, Shan Zhao:
A regularization approach for solving Poisson's equation with singular charge sources and diffuse interfaces. - Jonathan Stokes, Steven Weber:
Star sampling with and without replacement. - Minki Song, Seunghwan Lee, Eunsang Lee, Dong-Joon Shin, Young-Sik Kim, Jong-Seon No:
Analysis of error dependencies on NewHope. - Jan Dreier, Janosch Fuchs, Tim A. Hartmann, Philipp Kuinke, Peter Rossmanith, Bjoern Tauer, Hung-Lung Wang:
The Complexity of Packing Edge-Disjoint Paths. - Siddharth, Mohan M. Trivedi:
On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-sensing and Vision-based Analysis, Evaluations and Insights. - Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard:
Blessing of dimensionality at the edge. - Balasubramaniam Srinivasan, Bruno Ribeiro:
On the Equivalence between Node Embeddings and Structural Graph Representations. - Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür:
MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension. - Yavuz Yapici, Ismail Güvenç, Huaiyu Dai:
Low-Resolution Limited-Feedback NOMA for mmWave Communications. - Ivan Donadello, Luciano Serafini:
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. - Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli:
Deep Neural Rejection against Adversarial Examples. - Paolo Santini, Massimo Battaglioni, Marco Baldi, Franco Chiaraluce:
A theoretical analysis of the error correction capability of LDPC and MDPC codes under parallel bit-flipping decoding. - Katerina Papaioannou, Martin Theobald, Michael H. Böhlen:
Lineage-Aware Temporal Windows: Supporting Set Operations in Temporal-Probabilistic Databases. - Özgür Akgün, András Z. Salamon:
Conjure Documentation, Release 2.3.0. - Amirhossein Tebbifakhr, Luisa Bentivogli, Matteo Negri, Marco Turchi:
Machine Translation for Machines: the Sentiment Classification Use Case. - Di Wang, Huanyu Zhang, Marco Gaboardi, Jinhui Xu:
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. - Vladimir Vlasov, Johannes E. M. Mosig, Alan Nichol:
Dialogue Transformers. - Alane M. de Lima, Murilo V. G. da Silva, André Luís Vignatti:
Approximating the Percolation Centrality through Sampling and Pseudo-dimension. - Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel:
Towards Improving Solution Dominance with Incomparability Conditions: A case-study using Generator Itemset Mining. - Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov, Sigurd Schelstraete:
Beacons in Dense Wi-Fi Networks: How to Befriend with Neighbors in the 5G World? - Abbas Acar, Long Lu, A. Selcuk Uluagac, Engin Kirda:
An Analysis of Malware Trends in Enterprise Networks. - Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian:
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. - Alexis Duburcq, Yann Chevaleyre, Nicolas Bredèche, Guilhem Boéris:
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. - Bahman Mirheidari, Yilin Pan, Traci Walker, Markus Reuber, Annalena Venneri, Daniel Blackburn, Heidi Christensen:
Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt. - Marco Grassia, Juho Lauri, Sourav Dutta, Deepak Ajwani:
Learning Multi-Stage Sparsification for Maximum Clique Enumeration. - Anastassia Kornilova, Vlad Eidelman:
BillSum: A Corpus for Automatic Summarization of US Legislation. - Wei Zhang, Wei Li, Lei Han:
A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting. - Shruti Mishra, Abbas Abdolmaleki, Arthur Guez, Piotr Trochim, Doina Precup:
Augmenting learning using symmetry in a biologically-inspired domain. - Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation. - Nikos Salamanos, Michael J. Jensen, Xinlei He, Yang Chen, Michael Sirivianos:
On the Influence of Twitter Trolls during the 2016 US Presidential Election. - David Paulius, Yongqiang Huang, Jason Meloncon, Yu Sun:
Manipulation Motion Taxonomy and Coding for Robots. - Vaios Laschos, Jan Tinapp, Klaus Obermayer:
Training Generative Networks with general Optimal Transport distances. - Bowen Song, Ari Trachtenberg:
Scalable String Reconciliation by Recursive Content-Dependent Shingling. - Christian Fredrik Sætre, Anton S. Shiriaev, Stepan Pchelkin, Ahmed Chemori:
Excessive Transverse Coordinates for Orbital Stabilization of (Underactuated) Mechanical Systems. - Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström, Alessandro Pieropan, Stefano Mattoccia:
Real-Time Semantic Stereo Matching. - Heike Adel, Hinrich Schütze:
Type-aware Convolutional Neural Networks for Slot Filling. - S. Chandra Mouli, Leonardo Teixeira, Jennifer Neville, Bruno Ribeiro:
Deep Lifetime Clustering. - Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer:
Putting Machine Translation in Context with the Noisy Channel Model. - Andrew J. Taylor, Aaron D. Ames:
Adaptive Safety with Control Barrier Functions. - Ronan Fablet, Lucas Drumetz, François Rousseau:
End-to-end learning of energy-based representations for irregularly-sampled signals and images. - Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro:
Emergent Systematic Generalization in a Situated Agent. - Cheng Peng, David Weikersdorfer:
Map as The Hidden Sensor: Fast Odometry-Based Global Localization. - Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav:
Structural Language Models for Any-Code Generation. - Daiyaan Arfeen, Jesse Zhang:
Unsupervised Projection Networks for Generative Adversarial Networks. - Taotao Wang, Soung Chang Liew, Shengli Zhang:
PubChain: A Decentralized Open-Access Publication Platform with Participants Incentivized by Blockchain Technology. - Daniel Lokshtanov, Amer E. Mouawad, Fahad Panolan, Sebastian Siebertz:
On the Parameterized Complexity of Reconfiguration of Connected Dominating Sets. - Arpan Kusari:
CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem. - Alejandro Anderson, Agustina D'Jorge, Alejandro H. González, Antonio Ferramosca, Marcelo Actis:
MPC for tracking with maximum domain of attraction. - Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee:
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs. - Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli:
The Choice Function Framework for Online Policy Improvement. - Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. - John K. Golden, Daniel O'Malley:
Pre- and post-processing in quantum-computational hydrologic inverse analysis. - Athma Narayanan, Avinash Siravuru, Behzad Dariush:
Temporal Multimodal Fusion for Driver Behavior Prediction Tasks using Gated Recurrent Fusion Units. - Ján Komara, Paul J. Voda:
Extraction of Efficient Programs in IΣ1-arithmetic. - Danni Ma, Chen Chen, Behzad Golshan, Wang-Chiew Tan:
Essentia: Mining Domain-Specific Paraphrases with Word-Alignment Graphs. - Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat:
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. - Sarabjeet Singh, Manu Awasthi:
Memory Centric Characterization and Analysis of SPEC CPU2017 Suite. - Delia Bullock, Andrew Mangèni, Tyr Wiesner-Hanks, Chad DeChant, Ethan L. Stewart, Nicholas Kaczmar, Rebecca J. Nelson, Michael A. Gore, Hod Lipson:
Automated Grassy Weed Detection in Aerial Imagery with Context. - Aaron Griffith, Andrew Pomerance, Daniel J. Gauthier:
Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers. - Jonathan Chung, Thomas Delteil:
A Computationally Efficient Pipeline Approach to Full Page Offline Handwritten Text Recognition. - Andrew N. Carr, Jared Nielson, David Wingate:
Wasserstein Neural Processes. - Tobi Olatunji, Li Yao:
Learning to estimate label uncertainty for automatic radiology report parsing. - Mahmoud Abbasi:
NB-IoT Small Cell: A 3GPP Perspective. - Tianqi Zheng, John W. Simpson-Porco, Enrique Mallada:
Implicit Trajectory Planning for Feedback Linearizable Systems: A Time-varying Optimization Approach. - Bernd Pfrommer, Kostas Daniilidis:
TagSLAM: Robust SLAM with Fiducial Markers. - David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin:
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. - Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen:
Accelerated Robot Learning via Human Brain Signals. - Xiaobin Xiong, Aaron D. Ames:
Orbit Characterization, Stabilization and Composition on 3D Underactuated Bipedal Walking via Hybrid Passive Linear Inverted Pendulum Model. - Xiaobin Xiong, Aaron D. Ames:
Motion Decoupling and Composition via Reduced Order Model Optimization for Dynamic Humanoid Walking with CLF-QP based Active Force Control. - Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson:
Retrieving Top Weighted Triangles in Graphs. - Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz:
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. - Marthe Bonamy, Michal Pilipczuk:
Graphs of bounded cliquewidth are polynomially χ-bounded. - Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang:
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. - Yugandhar Sarkale, Saeed Nozhati, Edwin K. P. Chong, Bruce R. Ellingwood:
Decision Automation for Electric Power Network Recovery. - Ali Mirzaeian, Houman Homayoun, Avesta Sasan:
NESTA: Hamming Weight Compression-Based Neural Proc. Engine. - Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister:
IEG: Robust Neural Network Training to Tackle Severe Label Noise. - Ling Cai, Bo Yan, Gengchen Mai, Krzysztof Janowicz, Rui Zhu:
TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction. - Zack Ellerby, Josie McCulloch, Melanie Wilson, Christian Wagner:
Exploring how Component Factors and their Uncertainty Affect Judgements of Risk in Cyber-Security. - Philippe Trempe:
Spherical k-Nearest Neighbors Interpolation. - Isaac Oscar Gariano, Marco Servetto:
Mμl: The Power of Dynamic Multi-Methods. - Tzu-Yuan Lin, William A. Clark, Ryan M. Eustice, Jessy W. Grizzle, Anthony M. Bloch, Maani Ghaffari Jadidi:
Adaptive Continuous Visual Odometry from RGB-D Images. - Clebeson Canuto dos Santos, Plinio Moreno, Jorge Leonid Aching Samatelo, Raquel Frizera Vassallo, José Santos-Victor:
Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction. - Ryan Shivers, Mohammad Ashiqur Rahman, Hossain Shahriar:
Toward a Secure and Decentralized Blockchain-based Ride-Hailing Platform for Autonomous Vehicles. - Kyu Jeong Han, Ramon Prieto, Kaixing Wu, Tao Ma:
State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions. - Zheming Zhou, Xiaotong Chen, Odest Chadwicke Jenkins:
LIT: Light-field Inference of Transparency for Refractive Object Localization. - Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg:
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs. - Gaurav Mittal, Baoyuan Wang:
Animating Face using Disentangled Audio Representations. - Lakshya Jain, Wilson Wu, Steven Chen, Uyeong Jang, Varun Chandrasekaran, Sanjit A. Seshia, Somesh Jha:
Generating Semantic Adversarial Examples with Differentiable Rendering. - Supreeth Shastri, Vinay Banakar, Melissa Wasserman, Arun Kumar, Vijay Chidambaram:
Understanding and Benchmarking the Impact of GDPR on Database Systems. - Yifei Yuan, Yajun Zhao, Baiqing Zong, Sergio Parolari:
Potential Key Technologies for 6G Mobile Communications. - Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks. - Samaneh Ghandali, Daniel E. Holcomb, Christof Paar:
Temperature-Based Hardware Trojan For Ring-Oscillator-Based TRNGs. - Xuan Li, Yuchen Lu, Peng Xu, Jizong Peng, Christian Desrosiers, Xue Liu:
Boosting Image Recognition with Non-differentiable Constraints. - Samaneh Ghandali, Thorben Moos, Amir Moradi, Christof Paar:
Side-Channel Hardware Trojan for Provably-Secure SCA-Protected Implementations. - Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. - Harish Anand, Zhiang Chen, Jnaneshwar Das:
The OpenUAV Swarm Simulation Testbed: a Collaborative DesignStudio for Field Robotics. - Shresth Verma, Joydip Dhar:
Emergence of Writing Systems Through Multi-Agent Cooperation. - Gang Wang, Zhijie Jerry Shi, Mark Nixon, Song Han:
ChainSplitter: Towards Blockchain-based Industrial IoT Architecture for Supporting Hierarchical Storage. - David Rolnick, Konrad P. Körding:
Identifying Weights and Architectures of Unknown ReLU Networks. - Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. - Daniel Severo, Flávio Amaro, Estevam R. Hruschka Jr., André Soares de Moura Costa:
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward. - Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Joint Learning of Semantic Alignment and Object Landmark Detection. - Jun Wang, Leslie Greengard, Shidong Jiang, Shravan K. Veerapaneni:
Fast integral equation methods for linear and semilinear heat equations in moving domains. - Seyed Hadi Mirfarshbafan, Alexandra Gallyas-Sanhueza, Ramina Ghods, Christoph Studer:
Beamspace Channel Estimation for Massive MIMO mmWave Systems: Algorithm and VLSI Design. - Himel Dev, Karrie Karahalios, Hari Sundaram:
Quantifying Voter Biases in Online Platforms: An Instrumental Variable Approach. - Kouta Sekine, Mitsuhiro T. Nakao, Shin'ichi Oishi:
A new formulation for the numerical proof of the existence of solutions to elliptic problems. - Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel:
Efficient Graph Generation with Graph Recurrent Attention Networks. - Steven Jens Jorgensen, Michael William Lanighan, Sylvain S. Bertrand, Andrew Watson, Joseph S. Altemus, R. Scott Askew, Lyndon B. Bridgwater, Beau Domingue, Charlie Kendrick, Jason Lee, Mark Paterson, Jairo Sanchez, Patrick Beeson, Seth Gee, Stephen Hart, Ana Huaman Quispe, Robert J. Griffin, Inho Lee, Stephen McCrory, Luis Sentis, Jerry E. Pratt, Joshua S. Mehling:
Deploying the NASA Valkyrie Humanoid for IED Response: An Initial Approach and Evaluation Summary. - Angela H. Jiang, Daniel L.-K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminsky, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai:
Accelerating Deep Learning by Focusing on the Biggest Losers. - Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi:
SharPer: Sharding Permissioned Blockchains Over Network Clusters. - Rohit Kumar Dubey, Samuel S. Sohn, Christoph Hoelscher, Mubbasir Kapadia:
Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures. - Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu:
Contextual Local Explanation for Black Box Classifiers. - Gang Wang, Yanyuan Qin:
MAC Protocols for Wireless Mesh Networks with Multi-beam Antennas: A Survey. - Kyle Fox, Xinyi Li:
Approximating the Geometric Edit Distance. - Taesup Kim, Sungjin Ahn, Yoshua Bengio:
Variational Temporal Abstraction. - Michael Stephen Fiske:
Prime Clocks. - He Yin, Monimoy Bujarbaruah, Murat Arcak, Andrew K. Packard:
Optimization Based Planner Tracker Design for Safety Guarantees. - Muhammad Imran, Latif U. Khan, Ibrar Yaqoob, Ejaz Ahmed, Muhammad Ahsan Qureshi, Arif Ahmed:
Energy Harvesting in 5G Networks: Taxonomy, Requirements, Challenges, and Future Directions. - Hossein Esfandiari, Vahab S. Mirrokni, Peilin Zhong:
Streaming Balanced Clustering. - Mike Thelwall, Nabeil Maflahi:
Academic collaboration rates and citation associations vary substantially between countries and fields. - Grant Ho, Asaf Cidon, Lior Gavish, Marco Schweighauser, Vern Paxson, Stefan Savage, Geoffrey M. Voelker, David A. Wagner:
Detecting and Characterizing Lateral Phishing at Scale. - Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Speech-to-speech Translation between Untranscribed Unknown Languages. - Hoang Dau, Ryan Gabrys, Yu-Chih Huang, Chen Feng, Quang-Hung Luu, Eidah J. Alzahrani, Zahir Tari:
Optimizing the Transition Waste in Coded Elastic Computing. - Alexander May, Lars Schlieper, Jonathan Schwinger:
Practical Period Finding on IBM Q - Quantum Speedups in the Presence of Errors. - Emanuele Brugnoli, Elena Toscano, Calogero Vetro:
Iterative methods for signal reconstruction on graphs. - Thomas Laurent, Paolo Arcaini, Fuyuki Ishikawa, Anthony Ventresque:
A Mutation-based Approach for Assessing Weight Coverage of a Path Planner. - Hidenori Ogata:
A numerical method of computing Hadamard finite-part integrals with an integral power singularity at the endpoint on a half infinite interval. - Magali Bardet, Pierre Briaud, Maxime Bros, Philippe Gaborit, Vincent Neiger, Olivier Ruatta, Jean-Pierre Tillich:
An Algebraic Attack on Rank Metric Code-Based Cryptosystems. - Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev, Anca Delia Jurcut:
Machine-Learning Techniques for Detecting Attacks in SDN. - Christopher Priester, Sebastian Schmitt, Tiago P. Peixoto:
Limits and trade-offs of topological network robustness. - Lin Yuan, Zhou Yu:
Abstractive Dialog Summarization with Semantic Scaffolds. - Josef Rukavicka:
A Unique Extension of Rich Words. - Edoardo Artioli, L. Beirão da Veiga, Franco Dassi:
Curvilinear Virtual Elements for 2D solid mechanics applications. - V. P. Denysiuk:
Trigonometric splines in spectral problems. - V. P. Denysiuk:
About the classification of trigonometric splines. - Isaac Goldstein, Moshe Lewenstein, Ely Porat:
On the Hardness of Set Disjointness and Set Intersection with Bounded Universe. - Davide Basile, Maurice H. ter Beek, Rosario Pugliese:
Synthesis of Orchestrations and Choreographies: Bridging the Gap between Supervisory Control and Coordination of Services. - Javier Céspedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz:
Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference. - Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez:
BookQA: Stories of Challenges and Opportunities. - Joanna Piotrowska, Jonah M. Miller:
Spectral shock detection for dynamically developing discontinuities. - Wangjin Lee, Hyeryun Park, Jooyoung Yoon, Kyeongmo Kim, Jinwook Choi:
Clinical Text Generation through Leveraging Medical Concept and Relations. - Otmane Azeroual, Joachim Schöpfel:
Research Intelligence (CRIS) and the Cloud: A Review. - Sriram Bhyravarapu, Subrahmanyam Kalyanasundaram:
Conflict-Free Coloring on Open Neighborhoods. - Joan Boyar, Kim S. Larsen, Denis Pankratov:
Advice Complexity of Adaptive Priority Algorithms. - Haofei Kuang, Qingwen Xu, Xiaoling Long, Sören Schwertfeger:
Pose Estimation for Omni-directional Cameras using Sinusoid Fitting. - Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. - Benjamin Bergougnoux, Charis Papadopoulos, Jan Arne Telle:
Node Multiway Cut and Subset Feedback Vertex Set on Graphs of Bounded Mim-width. - Thomas Pinetz, Daniel Soukup, Thomas Pock:
On the estimation of the Wasserstein distance in generative models. - Lauri Vihman, Maarja Kruusmaa, Jaan Raik:
Overview of Fault Tolerant Techniques in Underwater Sensor Networks. - Ayush Gaud, Y. V. S. Harish, K. Madhava Krishna:
Object Parsing in Sequences Using CoordConv Gated Recurrent Networks. - Benjamin van der Burgh, Suzan Verberne:
The merits of Universal Language Model Fine-tuning for Small Datasets - a case with Dutch book reviews. - Yingxia Xi, Xia Ji, Shuo Zhang:
A high accuracy nonconforming finite element scheme for Helmholtz transmission eigenvalue problem. - Elazar Goldenberg, Robert Krauthgamer, Barna Saha:
Sublinear Algorithms for Gap Edit Distance. - Sangeeta, Kapil Sharma, Manju Bala:
New Failure Rate Model for Iterative Software Development Life Cycle Process. - Dan Frumin, Robbert Krebbers, Lars Birkedal:
Compositional Non-Interference for Fine-Grained Concurrent Programs. - Joseph Boudou, Martín Diéguez, David Fernández-Duque:
Complete Intuitionistic Temporal Logics in Topological Dynamics. - Luke Wicent Sy, Michael Raitor, Michael B. Del Rosario, Heba Khamis, Lauren Kark, Nigel H. Lovell, Stephen J. Redmond:
Estimating Lower Limb Kinematics using a Reduced Wearable Sensor Count. - Andrea Vanzo, Emanuele Bastianelli, Oliver Lemon:
Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU. - Miguel Escolano, José Manuel Rodríguez, Javier Orús, Manuel Laspalas, Agustín Chiminelli:
Predictive Control Based on Reduced Order Model for temperature homogeneity in a resin transfer molding tool for thermoset materials. - Martin Bähr, Michael Breuß, Robert Dachsel:
Model Order Reduction for Efficient Descriptor-Based Shape Analysis. - Yu-Pin Hsu, Yu-Chih Huang, Shin-Lin Shieh:
Scheduling Stochastic Real-Time Jobs in Unreliable Workers. - Genevieve Gorrell, Mehmet E. Bakir, Mark A. Greenwood, Ian Roberts, Kalina Bontcheva:
Race and Religion in Online Abuse towards UK Politicians: Working Paper. - Maciej Wiatrak, Stefano V. Albrecht:
Stabilizing Generative Adversarial Network Training: A Survey. - Izumi Haruta, Koji Mineshima, Daisuke Bekki:
A CCG-based Compositional Semantics and Inference System for Comparatives. - Ji Lin, Chuang Gan, Song Han:
Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos. - Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand:
DiffTaichi: Differentiable Programming for Physical Simulation. - Madhu Sudan, David Xiang:
A Self-contained Analysis of the Lempel-Ziv Compression Algorithm. - Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks. - Pedro Azevedo, Sabrina S. Panceri, Ranik Guidolini, Vinicius B. Cardoso, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks. - Michael A. Lones:
Optimising Optimisers with Push GP. - Zhiqiang Wei:
Performance Analysis and Design of Non-orthogonal Multiple Access for Wireless Communications. - Pawel Swierczynski, Marc Fyrbiak, Philipp Koppe, Amir Moradi, Christof Paar:
Interdiction in Practice - Hardware Trojan Against a High-Security USB Flash Drive. - Philipp Koppe, Benjamin Kollenda, Marc Fyrbiak, Christian Kison, Robert Gawlik, Christof Paar, Thorsten Holz:
Reverse Engineering x86 Processor Microcode. - Max Hoffmann, Christof Paar:
Stealthy Opaque Predicates in Hardware - Obfuscating Constant Expressions at Negligible Overhead. - Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim:
CNN-based Semantic Segmentation using Level Set Loss. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, Lajos Hanzo:
MIMO Assisted Networks Relying on Large Intelligent Surfaces: A Stochastic Geometry Model. - Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-preserving Federated Brain Tumour Segmentation. - David Ramírez, Elza Erkip, H. Vincent Poor:
Age of Information with Finite Horizon and Partial Updates. - Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani:
Benchmarking machine learning models on eICU critical care dataset. - Mert Yüksekgönül, Özgür Emre Sivrikaya, Mustafa Gökçe Baydogan:
Learning Maximally Predictive Prototypes in Multiple Instance Learning. - Mohammad Riftadi, Jorik Oostenbrink, Fernando A. Kuipers:
GP4P4: Enabling Self-Programming Networks. - Minchae Jung, Walid Saad, Mérouane Debbah, Choong Seon Hong:
On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation. - Andreas P. Hinterreiter, Peter Ruch, Holger Stitz, Martin Ennemoser, Jürgen Bernard, Hendrik Strobelt, Marc Streit:
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion. - Mutaz Y. Melhem, Laszlo B. Kish:
Generalized DC loop current attack against the KLJN secure key exchange scheme. - Yehuda Afek, Anat Bremler-Barr, Alon Noy:
Eradicating Attacks on the Internal Network with Internal Network Policy. - Arish S, R. K. Sharma:
An efficient floating point multiplier design for high speed applications using Karatsuba algorithm and Urdhva-Tiryagbhyam algorithm. - Arunkumar Vijayakumar, Vinay C. Patil, Daniel E. Holcomb, Christof Paar, Sandip Kundu:
Physical Design Obfuscation of Hardware: A Comprehensive Investigation of Device- and Logic-Level Techniques. - Micah Goldblum, Liam Fowl, Tom Goldstein:
Robust Few-Shot Learning with Adversarially Queried Meta-Learners. - Mark Van der Merwe, Qingkai Lu, Balakumar Sundaralingam, Martin Matak, Tucker Hermans:
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping. - Shanny Lin, Hao Zhu:
Enhancing the Spatio-Temporal Observability of Residential Loads. - Tien Tuan Anh Dinh, Anwitaman Datta, Beng Chin Ooi:
A Blueprint For Interoperable Blockchains. - Sayed Ashraf Mamun:
Sensor Networks in Healthcare: Ensuring Confidentiality and User Anonymity in WBAN. - Elizabeth Newman, Misha E. Kilmer:
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. - Michel X. Goemans, Shafi Goldwasser, Dhiraj Holden:
Doubly-Efficient Pseudo-Deterministic Proofs. - Peter J. Liu, Yu-An Chung, Jie Ren:
SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders. - Shukai Du, Francisco-Javier Sayas:
A unified error analysis of HDG methods for the static Maxwell equations. - Maria Bada, Basie von Solms, Ioannis Agrafiotis:
Reviewing National Cybersecurity Awareness for Users and Executives in Africa. - John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami:
Unsupervised Doodling and Painting with Improved SPIRAL. - Isaac Harris:
Approximation of the zero-index transmission eigenvalues with a conductive boundary and parameter estimation. - Nassim Abderrahmane, Edgar Lemaire, Benoît Miramond:
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. - Mohamed Alsharnouby, Anil Somayaji:
Thread Homeostasis: Real-Time Anomalous Behavior Detection for Safety-Critical Software. - Jiawei Hou, Yijun Yuan, Sören Schwertfeger:
Area Graph: Generation of Topological Maps using the Voronoi Diagram. - Shahin Tasoujian, Karolos M. Grigoriadis, Matthew A. Franchek:
Delay-Dependent Output-Feedback Control for Blood Pressure Regulation Using LPV Techniques. - Shahin Tasoujian, Saeed Salavati Dezfuli, Karolos M. Grigoriadis, Matthew A. Franchek:
Real-Time Cubature Kalman Filter Parameter Estimation of Blood Pressure Response Characteristics Under Vasoactive Drugs Administration. - Boris Karanov, Gabriele Liga, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen:
Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing. - Seyed Amir Alavi, Mehrnaz Javadipour, Kamyar Mehran:
Microgrid Optimal State Estimation Over IoT Wireless Sensor Networks With Event-Based Measurements. - Michele Scalas, Giorgio Giacinto:
Automotive Cybersecurity: Foundations for Next-Generation Vehicles. - Sravan Babu Bodapati, Spandana Gella, Kasturi Bhattacharjee, Yaser Al-Onaizan:
Neural Word Decomposition Models for Abusive Language Detection. - Johannes Klaus Fichte, Markus Hecher, Andreas Pfandler:
TE-ETH: Lower Bounds for QBFs of Bounded Treewidth. - Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi:
Quantized Reinforcement Learning (QUARL). - Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning:
An Introduction to Probabilistic Spiking Neural Networks. - Chen Tessler, Nadav Merlis, Shie Mannor:
Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients. - Abhijit Suprem:
Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data. - Gabriel L. Duarte, Daniel Lokshtanov, Lehilton L. C. Pedrosa, Rafael C. S. Schouery, Uéverton S. Souza:
Computing the largest bond of a graph. - Haotian Jiang, Janardhan Kulkarni, Sahil Singla:
Online Geometric Discrepancy for Stochastic Arrivals with Applications to Envy Minimization. - Eleanor Quint, Dong Xu, Haluk Dogan, Zeynep Hakguder, Stephen Scott, Matthew B. Dwyer:
Formal Language Constraints for Markov Decision Processes. - Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gomez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang:
Task-Relevant Adversarial Imitation Learning. - Pushyami Kaveti, Hanumant Singh:
ROS Rescue : Fault Tolerance System for Robot Operating System. - Jana Novotná, Karolina Okrasa, Michal Pilipczuk, Pawel Rzazewski, Erik Jan van Leeuwen, Bartosz Walczak:
Subexponential-time algorithms for finding large induced sparse subgraphs. - Florent Foucaud, Hervé Hocquard, Dimitri Lajou, Valia Mitsou, Théo Pierron:
Parameterized complexity of edge-coloured and signed graph homomorphism problems. - Arnd Hartmanns, Benjamin Lucien Kaminski:
Optimistic Value Iteration. - Victor Sanh, Lysandre Debut, Julien Chaumond, Thomas Wolf:
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. - Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee:
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. - Shisrut Rawat, Aishwarya Srinivasan, Vinayakumar R.:
Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network. - Shinya Sumikura, Mikiya Shibuya, Ken Sakurada:
OpenVSLAM: A Versatile Visual SLAM Framework. - Meng He, Serikzhan Kazi:
Path and Ancestor Queries on Trees with Multidimensional Weight Vectors. - Jeff Da, Jungo Kasai:
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations. - Or Levi, Pedram Hosseini, Mona T. Diab, David A. Broniatowski:
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues. - Siddhant Garg, Aditya Kumar Akash:
Stochastic Bandits with Delayed Composite Anonymous Feedback. - Jess Whittlestone, Aviv Ovadya:
The tension between openness and prudence in AI research. - Vernon K. Cody Bumgardner, Nima Seyedtalebi, Caylin D. Hickey:
Toward Edge-enabled Cyber-Physical Systems Testbeds. - Joachim Neu, Mustafa Cemil Coskun, Gianluigi Liva:
Ternary Quantized Polar Code Decoders: Analysis and Design. - Arnaud Mignan, Marco Broccardo:
Neural Network Applications in Earthquake Prediction (1994-2019): Meta-Analytic Insight on their Limitations. - Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht:
Learning Calibratable Policies using Programmatic Style-Consistency. - Thomas Magelinski, David M. Beskow, Kathleen M. Carley:
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection. - Ankit Shukla:
Improving Reasoning on DQBF. - Salimeh Yasaei Sekeh, Madan Ravi Ganesh, Shurjo Banerjee, Jason J. Corso, Alfred O. Hero III:
Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples. - Deepan Muthirayan, Scott A. Nivison, Pramod P. Khargonekar:
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers. - Dakila Ledesma, Yu Liang, Dalei Wu:
Adaptive Generation of Phantom Limbs Using Visible Hierarchical Autoencoders. - Baris Evrim Demiröz, I. Kuban Altinel, Lale Akarun:
Rectangle Blanket Problem: Binary integer linear programming formulation and solution algorithms. - Chih-Chieh Yang, Guojing Cong:
Accelerating Data Loading in Deep Neural Network Training. - Bin Zhu, Xin Guo, Kenneth E. Barner, Charles Boncelet:
Automatic Group Cohesiveness Detection With Multi-modal Features. - Brigit Schroeder, Hanlin Tang, Alexandre Alahi:
Using Image Priors to Improve Scene Understanding. - Lu Wei:
Skewness of von Neumann entanglement entropy. - Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. - Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding with Implicit 3D Visual Feature Representations. - Gabriele Franch, Giuseppe Jurman, Luca Coviello, Marta Pendesini, Cesare Furlanello:
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive. - Vahid Moraveji Hashemi:
Social Influence and Radicalization: A Social Data Analytics Study. - Ahmed S. Zamzam, Kyri Baker:
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. - Gunther Jikeli, Damir Cavar, Daniel Miehling:
Annotating Antisemitic Online Content. Towards an Applicable Definition of Antisemitism. - Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang:
ES-MAML: Simple Hessian-Free Meta Learning. - Matt Higger, Fernando Quivira, Deniz Erdogmus:
User-Adaptive Text Entry for Augmentative and Alternative Communication. - Raj Kuwar Gupta, Shresth Verma, K. V. Arya, Soumya Agarwal, Prince Gupta:
IIITM Face: A Database for Facial Attribute Detection in Constrained and Simulated Unconstrained Environments. - Bingyang Wen, Sergül Aydöre:
ROMark: A Robust Watermarking System Using Adversarial Training. - Alexey Sidnev, Alexey Trushkov, Maxim Kazakov, Ivan Korolev, Vladislav Sorokin:
DeepMark: One-Shot Clothing Detection. - Huiying Li, Emily Willson, Haitao Zheng, Ben Y. Zhao:
Persistent and Unforgeable Watermarks for Deep Neural Networks. - Sakshi Mishra, Kate Anderson, Brian Miller, Kyle Boyer:
Microgrid Resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies. - Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Weakly supervised segmentation from extreme points. - Shresth Verma, Haritha S. Nair, Gaurav Agarwal, Joydip Dhar, Anupam Shukla:
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots. - Akin Caliskan, Armin Mustafa, Evren Imre, Adrian Hilton:
Learning Dense Wide Baseline Stereo Matching for People. - Jon Gauthier, Roger Levy:
Linking artificial and human neural representations of language. - Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. - James A. Preiss, Sébastien M. R. Arnold, Chen-Yu Wei, Marius Kloft:
Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator. - Oscar Morales-Ponce:
Optimal Patrolling of High Priority Segments While Visiting the Unit Interval with a Set of Mobile Robots. - Ankit Garg, Visu Makam, Rafael Mendes de Oliveira, Avi Wigderson:
Search problems in algebraic complexity, GCT, and hardness of generator for invariant rings. - Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger:
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. - Daniel Vitor Ruiz, Bruno A. Krinski, Eduardo Todt:
ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection. - Youngsoo Choi, Peter Brown, Bill Arrighi, Robert W. Anderson:
Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems. - Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji:
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. - Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Dan Hao, Lu Zhang:
Can Automated Program Repair Refine Fault Localization? - Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung:
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection. - Kathleen C. Fraser, Isar Nejadgholi, Berry de Bruijn, Muqun Li, Astha LaPlante, Khaldoun Zine El Abidine:
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models. - Sicong Tang, Feitong Tan, Kelvin Cheng, Zhaoyang Li, Siyu Zhu, Ping Tan:
A Neural Network for Detailed Human Depth Estimation from a Single Image. - Haofan Wang, Mengnan Du, Fan Yang, Zijian Zhang:
Score-CAM: Improved Visual Explanations Via Score-Weighted Class Activation Mapping. - Mehdi Neshat, Bradley Alexander, Markus Wagner:
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. - Jingwei Ji, Kaidi Cao, Juan Carlos Niebles:
Learning Temporal Action Proposals With Fewer Labels. - Yu She, Sandra Q. Liu, Peiyu Yu, Edward H. Adelson:
Exoskeleton-covered soft finger with vision-based proprioception and exteroception. - (Withdrawn) Efficient Local Causal Discovery Based on Markov Blanket.
- Kai Fan, Jiayi Wang, Bo Li, Boxing Chen, Niyu Ge:
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System. - Tai-Quan Peng, Jonathan J. H. Zhu:
Mobile Phone Use as Sequential Processes: From Discrete Behaviors to Sessions of Behaviors and Trajectories of Sessions. - Gordon Hoi, Sanjay Jain, Frank Stephan:
A Fast Exponential Time Algorithm for Max Hamming Distance X3SAT. - Shinsaku Sakaue, Naoki Marumo:
Best-first Search Algorithm for Non-convex Sparse Minimization. - Yuta Koreeda, Gaku Morio, Terufumi Morishita, Hiroaki Ozaki, Kohsuke Yanai:
Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing. - Ragesh K. Ramachandran, Nicole Fronda, Gaurav S. Sukhatme:
Resilience in multi-robot target tracking through reconfiguration. - Olexandr Polishchuk:
About Three Dimensional Jump Boundary Value Problems for the Laplacian. - Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon:
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks. - Sun Sun Lim, Roland Bouffanais:
From Senseless Swarms to Smart Mobs: Tuning Networks for Prosocial Behaviour. - Francois Demoullin, Ayub A. Gubran, Tor M. Aamodt:
Hash-Based Ray Path Prediction: Skipping BVH Traversal Computation by Exploiting Ray Locality. - Grigory Tsiperman:
Seamless design of information system architecture based on adaptive clustering method. - Pingcheng Ruan, Gang Chen, Tien Tuan Anh Dinh, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Meihui Zhang:
Blockchains and Distributed Databases: a Twin Study. - Gregor Gantner, Dirk Praetorius:
Adaptive IGAFEM with optimal convergence rates: T-splines. - Tiago Ramalho, Thierry Sousbie, Stefano Peluchetti:
An empirical study of pretrained representations for few-shot classification. - Morteza Verdi, Ashkan Sami, Jafar Akhondali, Foutse Khomh, Gias Uddin, Alireza Karami Motlagh:
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. - He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung:
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. - Lou Salaun, Chung Shue Chen, Marceau Coupechoux:
Optimal Joint Subcarrier and Power Allocation in NOMA is Strongly NP-Hard. - Victor Boone, Georgios Piliouras:
From Darwin to Poincaré and von Neumann: Recurrence and Cycles in Evolutionary and Algorithmic Game Theory. - Zhengyuan Liu, Angela Ng, Sheldon Lee Shao Guang, Ai Ti Aw, Nancy F. Chen:
Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations. - Bilal Ghanem, Davide Buscaldi, Paolo Rosso:
TexTrolls: Identifying Russian Trolls on Twitter from a Textual Perspective. - Samuel Paradis, Michael Whitmeyer:
Pay Attention: Leveraging Sequence Models to Predict the Useful Life of Batteries. - Jang Hyun Cho, Bharath Hariharan:
On the Efficacy of Knowledge Distillation. - Shashank Tiwari, Suvra Sekhar Das, Vivek Rangamgari:
Low Complexity LMMSE Receiver for OTFS. - Kai Rothauge, Haripriya Ayyalasomayajula, Kristyn J. Maschhoff, Michael F. Ringenburg, Michael W. Mahoney:
Running Alchemist on Cray XC and CS Series Supercomputers: Dask and PySpark Interfaces, Deployment Options, and Data Transfer Times. - Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis:
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. - Xiangyu Gao, Jianzhong Li, Dongjing Miao, Xianmin Liu:
Recognizing the Tractability in Big Data Computing. - Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein:
Mapping (Dis-)Information Flow about the MH17 Plane Crash. - Alessandro Masullo, Tilo Burghardt, Toby Perrett, Dima Damen, Majid Mirmehdi:
Sit-to-Stand Analysis in the Wild using Silhouettes for Longitudinal Health Monitoring. - Hadrien Bride, Jin Song Dong, Ryan Green, Zhe Hou, Brendan P. Mahony, Martin Oxenham:
GRAVITAS: A Model Checking Based Planning and Goal Reasoning Framework for Autonomous Systems. - Hadrien Bride, Zhe Hou, Jie Dong, Jin Song Dong, Seyed Mohammad Mirjalili:
Silas: High Performance, Explainable and Verifiable Machine Learning. - Kevin Atighehchi, Loubna Ghammam, Koray Karabina, Patrick Lacharme:
A Cryptanalysis of Two Cancelable Biometric Schemes based on Index-of-Max Hashing. - Kieran Woodward, Eiman Kanjo, Andreas Oikonomou:
LabelSens: Enabling Real-time Sensor Data Labelling at the point of Collection on Edge Computing. - Kimia Dinashi, Ramin Toosi, Mohammad Ali Akhaee:
Face Manifold: Manifold Learning for Synthetic Face Generation. - Dexuan Zhang, Tatsuya Harada:
A General Upper Bound for Unsupervised Domain Adaptation. - Francesc Verdugo, Santiago Badia:
A user-guide to Gridap - grid-based approximation of partial differential equations in Julia. - Dimitrios Kollias, Stefanos Zafeiriou:
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset. - Alan M. Frisch, Brahim Hnich, Zeynep Kiziltan, Ian Miguel, Toby Walsh:
A Commentary on "Breaking Row and Column Symmetries in Matrix Models". - Erwan Le Merrer, Gilles Trédan:
The Bouncer Problem: Challenges to Remote Explainability. - Katherine Elkins, Jon Chun:
Can Sentiment Analysis Reveal Structure in a Plotless Novel? - Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: CoLlision Events for Video REpresentation and Reasoning. - Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy:
Efficient Community Detection in Boolean Composed Multiplex Networks. - Yuta Saito:
Eliminating Bias in Recommender Systems via Pseudo-Labeling. - Michelangelo Harris, Brian Liu, Cean Park, Ravi Ramireddy, Gloria Ren, Max Ren, Shangdi Yu, Andrew Daw, Jamol Pender:
Analyzing the Spotify Top 200 Through a Point Process Lens. - SrinivasaRao SubramanyaRao, Enrique Argones-Rúa:
Comments on a recently proposed Privacy Preserving Lightweight Biometric Authentication System for IoT Security. - Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. - Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. - Ramiro Camino, Christof Ferreira Torres, Radu State:
A Data Science Approach for Honeypot Detection in Ethereum. - Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. - Hao Xu:
D2D-LSTM based Prediction of the D2D Diffusion Path in Mobile Social Networks. - Sansiri Tarnpradab, Kien A. Hua:
Attention Based Neural Architecture for Rumor Detection with Author Context Awareness. - Changkun Ou, Yifei Zhan, Yaxi Chen:
Identifying Malicious Players in GWAP-based Disaster Monitoring Crowdsourcing System. - Yunlu Chen, Thomas Mensink, Efstratios Gavves:
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. - Alexander Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen:
Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation. - Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans:
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks. - Johannes Ackermann, Volker Gabler, Takayuki Osa, Masashi Sugiyama:
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics. - Daniel Hernández Juárez, Lukas Schneider, Pau Cebrian, Antonio Espinosa, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys, Juan C. Moure:
Slanted Stixels: A way to represent steep streets. - Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho:
Regularizing Neural Networks via Stochastic Branch Layers. - Behrooz Mamandipoor, Mahshid Majd, Monica Moz, Venet Osmani:
Blood lactate concentration prediction in critical care patients: handling missing values. - Vincenzo De Florio, Susanna Donatelli, Giovanna Dondossola:
Flexible Development of Dependability Services: An Experience Derived from Energy Automation Systems. - Paul Muntean, Matthias Neumayer, Zhiqiang Lin, Gang Tan, Jens Grossklags, Claudia Eckert:
Analyzing Control Flow Integrity with LLVM-CFI. - Phillipe R. Sampaio, Raphael Salvazet, Pierre Mandel, Gwénaëlle Becker, Damien Chenu:
Simulation and optimal control of heating and cooling systems: a case study of a commercial building. - Nicolas Dugué, Victor Connes:
Complex networks based word embeddings. - Sayyed-Ahmad Naghavi-Nozad, Seyed-Mojtaba Banaei, Mohsen Saberi:
A Grid-based Approach for Convexity Analysis of a Density-based Cluster. - Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia:
MLPerf Training Benchmark. - Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN. - Pimprenelle Parmentier, Tiphaine Viard, Benjamin Renoust, Jean-François Baffier:
Introducing multilayer stream graphs and layer centralities. - Jie Mei, Xianbin Wang, Kan Zheng:
Intelligent Network Slicing for V2X Services Towards 5G. - Maik Ender, Pawel Swierczynski, Sebastian Wallat, Matthias Wilhelm, Paul Martin Knopp, Christof Paar:
Insights into the Mind of a Trojan Designer: The Challenge to Integrate a Trojan into the Bitstream. - Marc Fyrbiak, Sebastian Strauß, Christian Kison, Sebastian Wallat, Malte Elson, Nikol Rummel, Christof Paar:
Hardware Reverse Engineering: Overview and Open Challenges. - Sebastian Wallat, Marc Fyrbiak, Moritz Schlögel, Christof Paar:
A Look at the Dark Side of Hardware Reverse Engineering - A Case Study. - Federica Battisti, Giuseppe Bernieri, Marco Carli, Michela Lopardo, Federica Pascucci:
Detecting integrity attacks in IoT-based Cyber Physical Systems: a case study on Hydra testbed. - Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu:
RNAS: Architecture Ranking for Powerful Networks. - Joel Veness, Tor Lattimore, Avishkar Bhoopchand, David Budden, Christopher Mattern, Agnieszka Grabska-Barwinska, Peter Toth, Simon Schmitt, Marcus Hutter:
Gated Linear Networks. - Arya D. McCarthy, Winston Wu, Aaron Mueller, Bill Watson, David Yarowsky:
Modeling Color Terminology Across Thousands of Languages. - Uwe Petersohn, Sandra Zimmer, Jens Lehmann:
Method for the semantic indexing of concept hierarchies, uniform representation, use of relational database systems and generic and case-based reasoning. - William H. Guss, Ruslan Salakhutdinov:
On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps. - Yi-Ting Chen, Chi-Hsuan Hsu, Chih-Han Chung, Yu-Shuen Wang, Sabarish V. Babu:
iVRNote: Design, Creation and Evaluation of an Interactive Note-Taking Interface for Study and Reflection in VR Learning Environments. - Teo Deveney, Eike Hermann Müller, Tony Shardlow:
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models. - Ting Cheng, Lina Ma, Jie Shen:
An efficient numerical scheme for a 3D spherical dynamo equation. - (Withdrawn) Extensions of the Algorithmic Lovasz Local Lemma.
- Ritwika Ghosh, Joao P. Jansch-Porto, Chiao Hsieh, Amelia Gosse, Minghao Jiang, Hebron Taylor, Peter Du, Sayan Mitra, Geir E. Dullerud:
CyPhyHouse: A Programming, Simulation, and Deployment Toolchain for Heterogeneous Distributed Coordination. - James Cadden, Thomas Unger, Yara Awad, Han Dong, Orran Krieger, Jonathan Appavoo:
SEUSS: Rapid serverless deployment using environment snapshots. - Tanima Chatterjee, Bhaskar DasGupta:
On partisan bias in redistricting: computational complexity meets the science of gerrymandering. - Francesco Marra, Cristiano Saltori, Giulia Boato, Luisa Verdoliva:
Incremental learning for the detection and classification of GAN-generated images. - Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt:
Prediction of GNSS Phase Scintillations: A Machine Learning Approach. - Shuowen Zhang, Rui Zhang:
Capacity Characterization for Intelligent Reflecting Surface Aided MIMO Communication. - Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon:
GDP: Generalized Device Placement for Dataflow Graphs. - Binxuan Huang, Kathleen M. Carley:
Location Order Recovery in Trails with Low Temporal Resolution. - David Murphy, Conor Higgins:
Secondary Inputs for Measuring User Engagement in Immersive VR Education Environments. - Fabian Willems, Mohammad Raahemi, Prasadith Buddhitha, Carlisle Adams, Thomas Tran:
On the security and privacy of Interac e-Transfers. - Parikshit Pareek, Hung D. Nguyen:
Probabilistic Robust Small-Signal Stability Framework using Gaussian Process Learning. - Mostafa Rahmani, Ping Li:
Graph Analysis and Graph Pooling in the Spatial Domain. - Laura Manduchi, Matthias Hüser, Gunnar Rätsch, Vincent Fortuin:
Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps. - Jianguo Huang, Haoqin Wang, Haizhao Yang:
Int-Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems. - Sabah Al-Fedaghi, MennatAllah Bayoumi:
Authentication Modeling with Five Generic Processes. - Pooya Khandel, Amir Hossein Rassafi, Vahid Pourahmadi, Saeed Sharifian, Rong Zheng:
SensorDrop: A Reinforcement Learning Framework for Communication Overhead Reduction on the Edge. - Ruben Rodriguez Torrado, Ahmed Khalifa, Michael Cerny Green, Niels Justesen, Sebastian Risi, Julian Togelius:
Bootstrapping Conditional GANs for Video Game Level Generation. - Adam M. Oberman:
Partial differential equation regularization for supervised machine learning. - Marco Dall'Aglio:
Fair Division of Goods with Market Values. - Yu Bai, Jason D. Lee:
Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks. - Andreas Venzke, Spyros Chatzivasileiadis:
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications. - Leighton Pate Barnes, Ayfer Özgür:
Minimax Bounds for Distributed Logistic Regression. - Maxime Ferreira Da Costa, Yuejie Chi:
On the Stable Resolution Limit of Total Variation Regularization for Spike Deconvolution. - Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro:
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case. - Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods. - Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya:
APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices. - Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu:
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. - Jizong Peng, Christian Desrosiers, Marco Pedersoli:
Information based Deep Clustering: An experimental study. - Matthew Trager, Kathlén Kohn, Joan Bruna:
Pure and Spurious Critical Points: a Geometric Study of Linear Networks. - Leticia Duboc, Curtis McCord, Christoph Becker, Syed Ishtiaque Ahmed:
Critical Requirements Engineering in Practice. - Mikhail O. Chekanov, Oleg S. Shipitko, Egor I. Ershov:
1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT). - Wenhao Luo, Sha Yi, Katia P. Sycara:
Behavior Mixing with Minimum Global and Subgroup Connectivity Maintenance for Large-Scale Multi-Robot Systems. - Jingrong Lin, Keegan Lensink, Eldad Haber:
Fluid Flow Mass Transport for Generative Networks. - Bruno Bentzen:
A Henkin-style completeness proof for the modal logic S5. - Chen Fu, Chiyu Dong, Xiao Zhang, John M. Dolan:
Low-cost LIDAR based Vehicle Pose Estimation and Tracking. - Khurram Javed, Hengshuai Yao, Martha White:
Is Fast Adaptation All You Need? - Ryan D'Orazio, Dustin Morrill, James R. Wright:
Bounds for Approximate Regret-Matching Algorithms. - Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau:
Benchmarking Batch Deep Reinforcement Learning Algorithms. - Raza Habib, Soroosh Mariooryad, Matt Shannon, Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, David Kao, Tom Bagby:
Semi-Supervised Generative Modeling for Controllable Speech Synthesis. - Kazuki Takeda, Huilin Xu, Taehyoung Kim, Karol Schober, Xingqin Lin:
Understanding the Heart of the 5G Air Interface: An Overview of Physical Downlink Control Channel for 5G New Radio (NR). - Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan Ting Hsu, Min Sun, Jianlong Fu:
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images. - Vadim Arzamasov, Klemens Böhm:
Scenario Discovery via Rule Extraction. - Gautam Raj Mode, Prasad Calyam, Khaza Anuarul Hoque:
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics. - Joel Stehouwer, Hao Dang, Feng Liu, Xiaoming Liu, Anil K. Jain:
On the Detection of Digital Face Manipulation. - Emilio Ferrara:
Bots, elections, and social media: a brief overview. - Stjepan Gros:
A Critical View on CIS Controls. - Hadar Miller, Osnat Mokryn:
Constant State of Change: Engagement Inequality in Temporal Dynamic Networks. - Kolby Nottingham, Anand Balakrishnan, Jyotirmoy V. Deshmukh, Connor Christopherson, David Wingate:
Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning. - Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala:
Generalized Inner Loop Meta-Learning. - Bo Jiang, Beibei Wang, Jin Tang, Bin Luo:
Graph Mask Convolutional Network. - Bo Jiang, Leiling Wang, Jin Tang, Bin Luo:
Context-Aware Graph Attention Networks. - Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
An Efficient Framework for Computing Structure- And Semantics-Preserving Community in a Heterogeneous Multilayer Network. - Astrid Merckling, Alexandre Coninx, Loic Cressot, Stéphane Doncieux, Nicolas Perrin:
State Representation Learning from Demonstration. - David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek:
Scalable Global Optimization via Local Bayesian Optimization. - Samyam Rajbhandari, Harsh Shrivastava, Yuxiong He:
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference. - Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus:
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. - Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. - Shih-Yang Su, Hossein Hajimirsadeghi, Greg Mori:
Graph Generation with Variational Recurrent Neural Network. - Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid:
Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning. - Omri Ben-Eliezer, Clément L. Canonne, Shoham Letzter, Erik Waingarten:
Finding monotone patterns in sublinear time. - Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Causal Induction from Visual Observations for Goal Directed Tasks. - Yuya Higashikawa, Naoki Katoh, Guohui Lin, Eiji Miyano, Suguru Tamaki, Junichi Teruyama, Binhai Zhu:
On Computing a Center Persistence Diagram. - Sunjay Cauligi, Craig Disselkoen, Klaus von Gleissenthall, Deian Stefan, Tamara Rezk, Gilles Barthe:
Towards Constant-Time Foundations for the New Spectre Era. - Mike Tian-Jian Jiang:
Character Feature Engineering for Japanese Word Segmentation. - Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. - Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. - Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. - Subhabrata Mukherjee, Ahmed Hassan Awadallah:
Distilling Transformers into Simple Neural Networks with Unlabeled Transfer Data. - Kizito Nkurikiyeyezu, Anna Yokokubo, Guillaume Lopez:
The Influence of Person-Specific Biometrics in Improving Generic Stress Predictive Models. - Paul Tarau:
Formula Transformers and Combinatorial Test Generators for Propositional Intuitionistic Theorem Provers. - Stéphane Bessy, Marin Bougeret, Alan Diêgo A. Carneiro, Fábio Protti, Uéverton S. Souza:
Width Parameterizations for Knot-free Vertex Deletion on Digraphs. - Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. - Kyoungseok Han, Nan Li, Ilya V. Kolmanovsky, Anouck Girard, Yan Wang, Dimitar P. Filev, Edward Dai:
Co-optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information. - Zhao Song, Ruosong Wang, Lin F. Yang, Hongyang Zhang, Peilin Zhong:
Efficient Symmetric Norm Regression via Linear Sketching. - Akshay L. Chandra, Sai Vikas Desai, Vineeth N. Balasubramanian, Seishi Ninomiya, Wei Guo:
Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. - Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf:
Conditional out-of-sample generation for unpaired data using trVAE. - Andreas Venzke, Daniel K. Molzahn, Spyros Chatzivasileiadis:
Efficient Creation of Datasets for Data-Driven Power System Applications. - Bo Wu, Wen-Huang Cheng, Peiye Liu, Zhaoyang Zeng, Jiebo Luo:
SMP Challenge: An Overview of Social Media Prediction Challenge 2019. - Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh:
Unsupervised Representation for EHR Signals and Codes as Patient Status Vector. - Alexander Jung:
On the Duality between Network Flows and Network Lasso. - Ekaterina Nikonova, Jakub Gemrot:
Deep Q-Network for Angry Birds. - Luke Wicent Sy, Nigel H. Lovell, Stephen J. Redmond:
Estimating Lower Limb Kinematics using a Lie Group Constrained EKF and a Reduced Wearable IMU Count. - Barbara Kaltenbacher, Andrej Klassen, Mario Luiz Previatti de Souza:
The Ivanov regularized Gauss-Newton method in Banach space with an a posteriori choice of the regularization radius. - Sebastian Weiss, Robert Maier, Rüdiger Westermann, Daniel Cremers, Nils Thuerey:
Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction. - Hang Jiang, Haoshen Hong, Yuxing Chen, Vivek Kulkarni:
DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions. - Yan Wang, Kensuke Harada, Weiwei Wan:
Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process. - Wei Li, Yunfang Wu:
Multi-level Gated Recurrent Neural Network for Dialog Act Classification. - Tanner A. Bohn, Yining Hu, Charles X. Ling:
Few-Shot Abstract Visual Reasoning With Spectral Features. - Vivek Kumar Bagaria, Joachim Neu, David Tse:
Boomerang: Redundancy Improves Latency and Throughput in Payment Networks. - Evangelos N. Papasotiriou, Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou:
Ergodic capacity evaluation of wireless THz fiber extenders. - Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid:
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph. - Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Laura Beggel, Thomas Brox:
SELF: Learning to Filter Noisy Labels with Self-Ensembling. - Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks. - Yoel Drori, Ohad Shamir:
The Complexity of Finding Stationary Points with Stochastic Gradient Descent. - Sylvain Courtain, Pierre Leleux, Ilkka Kivimäki, Guillaume Guex, Marco Saerens:
Randomized Shortest Paths with Net Flows and Capacity Constraints. - Yangfan Zhang, Pengfei Wang, Wenping Li, Shunchuan Yang:
An Accurate Edge-based FEM for Electromagnetic Analysis with Its Applications to Multiscale Structures. - Jyotibdha Acharya, Andrés Ussa Caycedo, Vandana Reddy Padala, Rishi Raj Sidhu Singh, Garrick Orchard, Bharath Ramesh, Arindam Basu:
EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors. - Zied Selmi, Mohamed Ben Halima, Umapada Pal, Mohamed Adel Alimi:
DELP-DAR System for License Plate Detection and Recognition. - Thomas M. Bendall, Thomas H. Gibson, Jemma Shipton, Colin J. Cotter, Ben Shipway:
A Compatible Finite Element Discretisation for the Moist Compressible Euler Equations. - Rakesh Katuwal, Ponnuthurai N. Suganthan:
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification. - Jan Niehues, Ngoc-Quan Pham:
Modeling Confidence in Sequence-to-Sequence Models. - Rahul Meshram, Kesav Kaza:
Online repeated posted price auctions with a demand side platform. - Jenna Kanerva, Samuel Rönnqvist, Riina Kekki, Tapio Salakoski, Filip Ginter:
Template-free Data-to-Text Generation of Finnish Sports News. - Marc Joye, Fabien A. P. Petitcolas:
PINFER: Privacy-Preserving Inference for Machine Learning. - Vicent Cholvi, Juan Echagüe, Antonio Fernández Anta, Christopher Thraves Caro:
System Stability Under Adversarial Injection of Dependent Tasks. - Parham Hadikhani, Pooria Hadikhani:
An adaptive hybrid algorithm for social networks to choose groups with independent members. - James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King:
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. - Kyoomars Alizadeh Noghani, Andreas Kassler, Javid Taheri:
On the Cost-Optimality Trade-off for Service Function Chain Reconfiguration. - Alexandros-Apostolos A. Boulogeorgos, Evangelos N. Papasotiriou, Angeliki Alexiou:
Analytical Performance Evaluation of THz Wireless Fiber Extenders. - Andreas Madsen, Alexander Rosenberg Johansen:
Measuring Arithmetic Extrapolation Performance. - Franck Assous, Irina Raichik:
Numerical solution to the 3D Static Maxwell equations in axisymmetric singular domains with arbitrary data. - Chung Chan:
Secret key agreement for hypergraphical sources with limited total discussion. - Lorenzo Gaudio, Mari Kobayashi, Giuseppe Caire, Giulio Colavolpe:
On the Effectiveness of OTFS for Joint Radar and Communication. - (Withdrawn) Robust Output Feedback Stabilization of Multivariable Invertible Nonlinear Systems: A Feedback Linearization-Based Method.
- Sidney Golstein, Trung-Hien Nguyen, François Horlin, Philippe De Doncker, Julien Sarrazin:
Physical Layer Security in Frequency-Domain Time-Reversal SISO OFDM Communication. - Adith Boloor, Karthik Garimella, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang:
Attacking Vision-based Perception in End-to-End Autonomous Driving Models. - Alexandru Chirvasitu, Thomas W. Cusick:
Symbolic dynamics and rotation symmetric Boolean functions. - Ashwin Ganesan:
On some distributed scheduling algorithms for wireless networks with hypergraph interference models. - Lou Salaun, Marceau Coupechoux, Chung Shue Chen:
Weighted Sum-Rate Maximization in Multi-Carrier NOMA with Cellular Power Constraint. - Junghoon Seo, Seungwon Lee, Beomsu Kim, Taegyun Jeon:
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector. - Benjamin Eysenbach, Sergey Levine:
If MaxEnt RL is the Answer, What is the Question? - Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme:
Resilient Coverage: Exploring the Local-to-Global Trade-off. - Mohsen Jafarzadeh, Yonas Tadesse:
Convolutional Neural Networks for Speech Controlled Prosthetic Hands. - Huixin Zhan, Yongcan Cao:
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning. - (Withdrawn) A new method for quantifying network cyclic structure to improve community detection.
- Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. - Pavel Korshunov, Sébastien Marcel:
Vulnerability of Face Recognition to Deep Morphing. - Rajesh Chitnis, Andreas Emil Feldmann:
FPT Inapproximability of Directed Cut and Connectivity Problems. - Petra Wolf:
Synchronization under Dynamic Constraints. - Bharath Shamasundar, A. Chockalingam:
A DNN Architecture for the Detection of Generalized Spatial Modulation Signals. - Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
Dynamic Joint Variational Graph Autoencoders. - Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. - Jana Korunovska, Sarah Spiekermann:
The Effects of Digitalization on Human Energy and Fatigue: A Review. - Karel Adámek, Sofia Dimoudi, Mike B. Giles, Wesley Armour:
GPU Fast Convolution via the Overlap-and-Save Method in Shared Memory. - Martin J. Kraemer, William Seymour, Reuben Binns, Max Van Kleek, Ivan Flechais:
Informing The Future of Data Protection in Smart Homes. - Raphael Kim, Stefan Poslad:
The Thing With E.coli: Highlighting Opportunities and Challenges of Integrating Bacteria in IoT and HCI. - EunJeong Cheon:
Alternative Vision of Living with IoT. - Mirzel Avdic, Jo Vermeulen:
Studying Breakdowns in Interactions with Smart Speakers. - Lei He, Arthur Guijt, Mathijs de Weerdt, Lining Xing, Neil Yorke-Smith:
Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art. - Daniel Kopev, Ahmed Ali, Ivan Koychev, Preslav Nakov:
Detecting Deception in Political Debates Using Acoustic and Textual Features. - Felix Sattler, Klaus-Robert Müller, Wojciech Samek:
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints. - Zhen Huang, Tim Ng, Leo Liu, Henry Mason, Xiaodan Zhuang, Daben Liu:
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition. - Robert Kwiatkowski, Hod Lipson:
Zero Shot Learning on Simulated Robots. - Lukás Holík, Ondrej Lengál, Olli Saarikivi, Lenka Turonová, Margus Veanes, Tomás Vojnar:
Succinct Determinisation of Counting Automata via Sphere Construction (Technical Report). - Emanuel Trabes:
Dense monocular depth estimation by direct surfel optimization. - Robert M. Corless, Leili Rafiee Sevyeri:
Approximate GCD in a Bernstein basis. - Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov:
Predicting the Role of Political Trolls in Social Media. - Athanasios Kiatipis, Álvaro Brandón, Rizkallah Touma, Pierre Matri, Michal Zasadzinski, Linh Thuy Nhuyen, Adrien Lebre, Alexandru Costan:
A Survey of Benchmarks to Evaluate Data Analytics for Smart-* Applications. - Yi Liu, Jialiang Peng, James Jian Qiao Yu, Yi Wu:
PPGAN: Privacy-preserving Generative Adversarial Network. - Hao Wang, Zonghu Wang, Bin Zhang, Jun Zhou:
Information collection for fraud detection in P2P financial market. - Hao Wang:
Detection of fraudulent users in P2P financial market. - Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb:
Variational Osmosis for Non-linear Image Fusion. - Janis Stolzenwald, Walterio W. Mayol-Cuevas:
Reach Out and Help: Assisted Remote Collaboration through a Handheld Robot. - Himanshu Goyal, Pramit Saha, Bryan Gick, Sidney S. Fels:
EEG-to-F0: Establishing artificial neuro-muscular pathway for kinematics-based fundamental frequency control. - Viktor Zenkov, Jason Laska:
Dynamic data fusion using multi-input models for malware classification. - Ke Chen, Qin Li, Stephen J. Wright:
Schwarz iteration method for elliptic equation with rough media based on random sampling. - Seyed Mohammad Hosseini, Amir Hossein Jahangir, Mehdi Kazemi:
Digesting Network Traffic for Forensic Investigation Using Digital Signal Processing Techniques. - Pedro Casau, Christopher G. Mayhew, Ricardo G. Sanfelice, Carlos Silvestre:
Robust Global Exponential Stabilization on the n-Dimensional Sphere with Applications to Trajectory Tracking for Quadrotors. - Yunji Kim, Seonghyeon Nam, In Cho, Seon Joo Kim:
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction. - Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James R. Glass, Preslav Nakov:
Tanbih: Get To Know What You Are Reading. - Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Talk2Nav: Long-Range Vision-and-Language Navigation in Cities. - Shuai Zheng, Ahmed K. Farahat, Chetan Gupta:
Generative Adversarial Networks for Failure Prediction. - Shuai Zheng, Chetan Gupta, Susumu Serita:
Manufacturing Dispatching using Reinforcement and Transfer Learning. - Antoine Amarilli, Ismail Ilkan Ceylan:
A Dichotomy for Homomorphism-Closed Queries on Probabilistic Graphs. - Rui Guo, Dorien Herremans, Thor Magnusson:
Midi Miner - A Python library for tonal tension and track classification. - Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He:
ZeRO: Memory Optimization Towards Training A Trillion Parameter Models. - Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. - Giordano Da Lozzo, David Eppstein, Michael T. Goodrich, Siddharth Gupta:
C-Planarity Testing of Embedded Clustered Graphs with Bounded Dual Carving-Width. - Georgios Birmpas, Elias Koutsoupias, Philip Lazos, Francisco J. Marmolejo Cossío:
Fairness and Efficiency in DAG-based Cryptocurrencies. - Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie:
Neural Puppet: Generative Layered Cartoon Characters. - Sayan Bhattacharya, Fabrizio Grandoni, Janardhan Kulkarni, Quanquan C. Liu, Shay Solomon:
Fully Dynamic (Δ+1)-Coloring in Constant Update Time. - Marek Laskowski, Henry M. Kim, Michael Zargham, Matt Barlin, Danil Kabanov:
Token Economics in Real-Life: Cryptocurrency and Incentives Design for Insolar Blockchain Network. - Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom:
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. - Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee:
Higher Order Function Networks for View Planning and Multi-View Reconstruction. - Mitra Mohtarami, James R. Glass, Preslav Nakov:
Contrastive Language Adaptation for Cross-Lingual Stance Detection. - Mathieu Seurin, Philippe Preux, Olivier Pietquin:
"I'm sorry Dave, I'm afraid I can't do that" Deep Q-learning from forbidden action. - Dixin Luo, Hongteng Xu, Lawrence Carin:
Fused Gromov-Wasserstein Alignment for Hawkes Processes. - Ofir Nachum, Heinrich Jiang:
Group-based Fair Learning Leads to Counter-intuitive Predictions. - Uri M. Ascher:
Discrete Processes and their Continuous Limits. - Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
Social Learning in Multi Agent Multi Armed Bandits. - Wenju Xu, Yuanwei Wu, Wenchi Ma, Guanghui Wang:
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization. - Wenju Xu, Dongkyu Choi, Guanghui Wang:
Direct Visual-Inertial Odometry with Semi-Dense Mapping. - Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun:
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. - Dianbo Liu, Timothy A. Miller, Kenneth D. Mandl:
Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence. - David C. Del Rey Fernández, Mark H. Carpenter, Lisandro Dalcín, Stefano Zampini, Matteo Parsani:
Entropy Stable h/p-Nonconforming Discretization with the Summation-by-Parts Property for the Compressible Euler and Navier-Stokes Equations. - Rulin Shao, Hui Liu, Dianbo Liu:
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning. - Ziheng Chen, Zhennan Zhou:
The Bayesian Inversion Problem for Thermal Average Sampling of Quantum Systems. - Binhang Yuan, Anastasios Kyrillidis, Christopher M. Jermaine:
Distributed Learning of Deep Neural Networks using Independent Subnet Training. - Édouard Bonnet, Sergio Cabello, Wolfgang Mulzer:
Maximum Matchings in Geometric Intersection Graphs. - John S. Hyatt, Michael S. Lee:
Requirements for Developing Robust Neural Networks. - Luca Remaggi, Philip J. B. Jackson, Wenwu Wang:
Modeling the Comb Filter Effect and Interaural Coherence for Binaural Source Separation. - Mahsa Ghasemi, Ufuk Topcu:
Online Active Perception for Partially Observable Markov Decision Processes with Limited Budget. - Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan Lavista Ferres:
Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India. - Jiahong Cai, Yuxuan Gao, Xinyan He, Huimiao Chen:
A Method of EV Detour-to-Recharge Behavior Modeling and Charging Station Deployment. - Luis Puche Rondon, Leonardo Babun, Kemal Akkaya, A. Selcuk Uluagac:
HDMI-Walk: Attacking HDMI Distribution Networks via Consumer Electronic Control Protocol. - Abhishek Naik, Roshan Shariff, Niko Yasui, Richard S. Sutton:
Discounted Reinforcement Learning is Not an Optimization Problem. - Will Zhang, Adela Capilnasiu, Gerhard Sommer:
An Efficient and Accurate Method for Modeling Nonlinear Fractional Viscoelastic Biomaterials. - Hong Jiang, Jong-Hoon Ahn, Xiaoyang Wang:
Lipschitz Learning for Signal Recovery. - Patrick Baillot, Alexis Ghyselen:
Types for Parallel Complexity in the Pi-calculus. - Tobias Reiher, Alexander Senier, Jerónimo Castrillón, Thorsten Strufe:
RecordFlux: Formal Message Specification and Generation of Verifiable Binary Parsers. - Stefan Klus, Patrick Gelß:
Tensor-based algorithms for image classification. - Tomasz Kociumaka, Gonzalo Navarro, Nicola Prezza:
Towards a Definitive Measure of Repetitiveness. - Abdallah A. Chehade, Zunya Shi:
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion. - Xiao Chen, Thomas Navidi, Ram Rajagopal:
Energy Resource Control via Privacy Preserving Data. - Benjamin Brock, Yuxin Chen, Jiakun Yan, John D. Owens, Aydin Buluç, Katherine A. Yelick:
RDMA vs. RPC for Implementing Distributed Data Structures. - Thomas Colcombet, Sylvain Lombardy:
Unambiguous separators for tropical tree automata. - Sriramya Bhamidipati, Grace Xingxin Gao:
SLAM-based Integrity Monitoring Using GPS and Fish-eye Camera. - Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin:
Straight-Through Estimator as Projected Wasserstein Gradient Flow. - Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman:
Template-based Minor Embedding for Adiabatic Quantum Optimization. - Chaitanya Ahuja, Shugao Ma, Louis-Philippe Morency, Yaser Sheikh:
To React or not to React: End-to-End Visual Pose Forecasting for Personalized Avatar during Dyadic Conversations. - Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck:
On Tractable Computation of Expected Predictions. - Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Cheng, David E. Carlson, Lawrence Carin:
Gaussian-Process-Based Dynamic Embedding for Textual Networks. - Sara Calandrini, Konstantin Pieper, Max D. Gunzburger:
Exponential Time Differencing for the Tracer Equations Appearing in Primitive Equation Ocean Models. - Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, Gary R. Bradski:
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. - Fania Mokhayeri, Eric Granger:
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample. - Zhe Du, Necmiye Ozay, Laura Balzano:
Mode Clustering for Markov Jump Systems. - Geoffrey Ramseyer, Ashish Goel, David Mazières:
Constrained Credit Networks. - Kouta Sekine, Kazuaki Tanaka, Shin'ichi Oishi:
Inverse norm estimation of perturbed Laplace operators and corresponding eigenvalue problems. - Motoki Kojima, Jun Miura:
Early Estimation of User's Intention of Tele-Operation Using Object Affordance and Hand Motion in a Dual First-Person Vision. - Nguyen Vo, Kyumin Lee:
Learning from Fact-checkers: Analysis and Generation of Fact-checking Language. - Gabriel C. Fernandez, Shouhuai Xu:
A Case Study on Using Deep Learning for Network Intrusion Detection. - Xingjian Zhen, Rudrasis Chakraborty, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh:
Dilated Convolutional Neural Networks for Sequential Manifold-valued Data. - Che Wang, Yanqiu Wu, Quan Vuong, Keith W. Ross:
Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning. - Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze:
On Dimensional Linguistic Properties of the Word Embedding Space. - Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction. - Luke S. Snyder, Morteza Karimzadeh, Ray Chen, David S. Ebert:
City-level Geolocation of Tweets for Real-time Visual Analytics. - Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang:
Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning. - Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer:
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation. - Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos:
A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks. - Xuechao Wang, Govinda M. Kamath, Vivek Kumar Bagaria, Sreeram Kannan, Sewoong Oh, David Tse, Pramod Viswanath:
Proof-of-Stake Longest Chain Protocols Revisited. - Abiodun Ayodeji, Yong-kuo Liu:
Recurrent neural network based decision support system. - Jamal Ahmed Rahim, Kwan-Yee Kenneth Wong:
Colored Transparent Object Matting from a Single Image Using Deep Learning. - Qi Jia Sun:
A Machine Learning Analysis of the Features in Deceptive and Credible News. - Limeng Qiao, Yemin Shi, Jia Li, Yaowei Wang, Tiejun Huang, Yonghong Tian:
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. - Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot:
Making sense of sensory input. - Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant:
On the Limits of Learning to Actively Learn Semantic Representations. - Barbara Kaltenbacher, William Rundell:
Regularization of a backwards parabolic equation by fractional operators. - Yonglin Cao, Yuan Cao, Fang-Wei Fu:
On self-duality and hulls of cyclic codes over F2m[u]/⟨uk⟩ with oddly even length. - Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen:
How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation Systems. - Yehuda Afek, Yishay Mansour, Shaked Rafaeli, Moshe Sulamy:
The Role of A-priori Information in Networks of Rational Agents. - Mingyang Geng, Kele Xu, Yiying Li, Shuqi Liu, Bo Ding, Huaimin Wang:
Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems. - Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng:
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. - Laurent Meunier, Jamal Atif, Olivier Teytaud:
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies. - Stefan Nothaas, Fabian Ruhland, Michael Schöttner:
A Benchmark to Evaluate InfiniBand Solutions for Java Applications. - Craig S. MacDonald, John A. Mackenzie, Alison Ramage:
A Moving Mesh Method for Modelling Defects in Nematic Liquid Crystals. - Frédéric Protin:
A new algorithm for graph center computation and graph partitioning according to the distance to the center. - Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. - Derong Xie, Xiaolei Fang, Jinquan Luo:
Constructions of MDS Self-dual Codes from Short length. - Amirhossein Kardoost, Sabine Müller, Joachim Weickert, Margret Keuper:
Object Segmentation Tracking from Generic Video Cues. - Nasser Zalmout, Nizar Habash:
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging. - Sam Ade Jacobs, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears:
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. - Roman Miletitch, Andreagiovanni Reina, Marco Dorigo, Vito Trianni:
Emergent naming of resources in a foraging robot swarm. - Rui-Na Fan, Quan-Lin Li, Xiaole Wu, Zhe George Zhang:
Dockless Bike-Sharing Systems with Unusable Bikes: Removing, Repair and Redistribution under Batch Policies. - John A. Mackenzie, Christopher F. Rowlatt, Robert H. Insall:
A Conservative Finite Element ALE Scheme for Mass-Conserving Reaction-Diffusion Equations on Evolving Two-Dimensional Domains. - Anna M. Kruspe:
Few-shot tweet detection in emerging disaster events. - Sahand Rezaei-Shoshtari, David Meger, Inna Sharf:
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. - Benjamin Akera, Joyce Nakatumba-Nabende, Jonathan Mukiibi, Ali Hussein, Nathan Baleeta, Daniel Ssendiwala, Samiiha Nalwooga:
Keyword Spotter Model for Crop Pest and Disease Monitoring from Community Radio Data. - Ahmed Ibrahim, Octavia A. Dobre, Telex Magloire Nkouatchah Ngatched, Ana García Armada:
Bender's Decomposition for Optimization Design Problems in Communication Networks. - Isuru Udayangani Hewapathirana, Dominic Lee, Elena Moltchanova, Jeanette C. McLeod:
Change Detection in Noisy Dynamic Networks: A Spectral Embedding Approach. - Volker Diekert, Igor Potapov, Pavel Semukhin:
Decidability of membership problems for flat rational subsets of GL(2, Q) and singular matrices. - Nazreen P. M., Shantanu Chakrabartty, Chetan Singh Thakur:
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks. - Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar:
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries. - Artur Jordão, Maiko Lie, Victor Hugo Cunha de Melo, William Robson Schwartz:
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method. - Inês Valentim, Nuno Lourenço, Nuno Antunes:
The Impact of Data Preparation on the Fairness of Software Systems. - Nikita G. Singhal, Jonghwan Kwon, Kory W. Hedman:
Generator Contingency Modeling in Electric Energy Markets: Derivation of Prices via Duality Theory. - David D. Fan, Jennifer Nguyen, Rohan Thakker, Nikhilesh Alatur, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Bayesian Learning-Based Adaptive Control for Safety Critical Systems. - Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla:
Towards Deployment of Robust AI Agents for Human-Machine Partnerships. - Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves:
Content-Based Features to Rank Influential Hidden Services of the Tor Darknet. - Benet Oriol Sabat, Cristian Canton-Ferrer, Xavier Giró-i-Nieto:
Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation. - Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund:
Empirical Coordination with Multiple Descriptions. - Amirhossein Taghvaei, Prashant G. Mehta:
An Optimal Transport Formulation of the Ensemble Kalman Filter. - Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao:
Natural- to formal-language generation using Tensor Product Representations. - Justin Bloom, Lalita Devadas:
Secure Montgomery Multiplication and Repeated Squares for Modular Exponentiation. - Keith Dillon:
Clustering Gaussian Graphical Models. - Bryce L. Ferguson, Philip N. Brown, Jason R. Marden:
Carrots or Sticks? The Effectiveness of Subsidies and Tolls in Congestion Games. - Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. - Xu Shen, Xiaojing Zhang, Francesco Borrelli:
Autonomous Parking of Vehicle Fleet in Tight Environments. - Shahbaz Rezaei, Bryce Kroencke, Xin Liu:
Large-scale Mobile App Identification Using Deep Learning. - Evandro Menezes, Sebastian Pop, Aditya Kumar:
Clustering case statements for indirect branch predictors. - Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, Jian Lü:
Operational Calibration: Debugging Confidence Errors for DNNs in the Field. - Haoyue Tang, Jintao Wang, Philippe Ciblat, Jian Song:
Optimizing Data Freshness in Time-Varying Wireless Networks with Imperfect Channel State. - Guangyu Shen, Chengzhi Mao, Junfeng Yang, Baishakhi Ray:
Unrestricted Adversarial Attacks for Semantic Segmentation. - Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang:
Text Level Graph Neural Network for Text Classification. - Kyung-Wha Park, Junghoon Lee, Sunyoung Kwon, Jung-Woo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion. - Bruno França:
Deep Ocean: A blockchain-agnostic dark pool protocol. - Chen Chen, Lisong Qiu, Zhenxin Fu, Dongyan Zhao, Junfei Liu, Rui Yan:
Multilingual Dialogue Generation with Shared-Private Memory. - Qiang Liu, Lemeng Wu, Dilin Wang:
Splitting Steepest Descent for Growing Neural Architectures. - Sang Won Lee:
Computer-mediated Empathy. - Osame Kinouchi, Adriano J. Holanda, George C. Cardoso:
Citation network centrality: a scientific awards predictor? - Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng:
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding. - Zecheng Zhang, Xiaoxiao Wu, Naijing Zhang, Siyuan Zhang, Edgar Solomonik:
Enabling Distributed-Memory Tensor Completion in Python using New Sparse Tensor Kernels. - Umair Zulfiqar, Victor Sreeram, Xin Du:
Frequency-Limited Pseudo-Optimal Rational Krylov Algorithm for Power System Reduction. - Michael Kruse, Hal Finkel:
Design and Use of Loop-Transformation Pragmas. - Sang Won Lee:
Liveness in Interactive Systems. - Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn:
Scalable Object-Oriented Sequential Generative Models. - Amber Nigam, Pragati Jaiswal, Uma M. Girkar, Teertha Arora, Leo A. Celi:
Migration through Machine Learning Lens - Predicting Sexual and Reproductive Health Vulnerability of Young Migrants. - Christian Koch, Arne-Tobias Rak, Michael Zink, Ralf Steinmetz, Amr Rizk:
Increasing the Quality of 360° Video Streaming by Transitioning between Viewport Quality Adaptation Mechanisms. - Yanghao Yu, Qingchun Hou, Yi Ge, Guojing Liu, Ning Zhang:
A Linear LMP Model for Active and Reactive Power with Power Loss. - Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, Przemyslaw Biecek:
Named Entity Recognition - Is there a glass ceiling? - Terence Broad, Mick Grierson:
Searching for an (un)stable equilibrium: experiments in training generative models without data. - Terence Broad, Mick Grierson:
Transforming the output of GANs by fine-tuning them with features from different datasets. - Essam A. Rashed, José Gómez-Tames, Akimasa Hirata:
Non-Uniform Conductivity Estimation for Personalized Brain Stimulation using Deep Learning. - Nimrod Segol, Yaron Lipman:
On Universal Equivariant Set Networks. - Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha, Nithin Nagaraj:
ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification. - Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting:
Structured Object-Aware Physics Prediction for Video Modeling and Planning. - Dimitri P. Bertsekas:
Biased Aggregation, Rollout, and Enhanced Policy Improvement for Reinforcement Learning. - Mimi Zhang:
Weighted Clustering Ensemble: A Review. - Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo:
Discovering Polarized Communities in Signed Networks. - Umut Caliskan, Volkan Patoglu:
Efficacy of Haptic Pedal Feel Compensation on Driving with Regenerative Braking. - Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli, Quan Pan:
Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation. - Christoph Heindl, Markus Ikeda, Gernot Stübl, Andreas Pichler, Josef Scharinger:
Enhanced Human-Machine Interaction by Combining Proximity Sensing with Global Perception. - Xuefeng Wen:
Modal Logic via Global Consequence. - Pengjie Ren, Yujie Lin, Muyang Ma, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations. - Zhichao Shao, Lukas Landau, Rodrigo C. de Lamare:
Investigation of Channel Estimation Techniques with 1-bit Quantization and Oversampling for Multiple-Antenna Systems. - Hekai Zhang, Jibing Gong, Zhiyong Teng, Dan Wang, Hongfei Wang, Linfeng Du, Md. Zakirul Alam Bhuiyan:
Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling. - Sonia Meskini, Ali Bou Nassif, Luiz Fernando Capretz:
Can we rely on smartphone applications? - Karl Schlechta:
A Short Remark on Analogical Reasoning. - Massimo Cafaro, Catiuscia Melle, Marco Pulimeno, Italo Epicoco:
Fast Detection of Outliers in Data Streams with the Qn Estimator. - Majid Khonji, Jorge Manuel Miranda Dias, Lakmal D. Seneviratne:
Risk-Aware Reasoning for Autonomous Vehicles. - Srikanth Srinivasan, Utkarsh Tripathi, S. Venkitesh:
On the Probabilistic Degrees of Symmetric Boolean functions. - Yong Chen, Zhi-Zhong Chen, Guohui Lin, Yao Xu, An Zhang:
Approximation algorithms for maximally balanced connected graph partition. - Matthew Francis-Landau, Benjamin Van Durme:
Exact and/or Fast Nearest Neighbors. - Ting Wang, Gabriel Stoltz, Petr Plechác:
Convergence of the likelihood ratio method for linear response of non-equilibrium stationary states. - Giulio Jiang, Bernhard Kainz:
One Shot Radiance: Global Illumination Using Convolutional Autoencoders. - Yuan Yang, Le Song:
Learn to Explain Efficiently via Neural Logic Inductive Learning. - Daniel Saromo, Elizabeth Villota, Edwin Villanueva:
Auto-Rotating Perceptrons. - József Dombi, Orsolya Csiszár, Gábor Csiszár:
Semantic Interpretation of Deep Neural Networks Based on Continuous Logic. - Antoni Rosinol, Marcus Abate, Yun Chang, Luca Carlone:
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping. - Alex Devonport, Murat Arcak:
Data-Driven Reachable Set Computation using Adaptive Gaussian Process Classification and Monte Carlo Methods. - Zheng Xie:
Predicting publication productivity for researchers: A latent variable model. - Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan:
REMIND Your Neural Network to Prevent Catastrophic Forgetting. - David Honfi, Zoltán Micskei:
Automated Isolation for White-box Test Generation. - Paul Tranquilli, Ross Glandon, Adrian Sandu:
Adaptive Krylov-Type Time Integration Methods. - Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough:
Optimising energy and overhead for large parameter space simulations. - Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov:
Fine-Grained Analysis of Propaganda in News Articles. - Shiyu Yi, Donglin Zhan, Zhengyang Geng, Wenqing Zhang, Chang Xu:
FIS-GAN: GAN with Flow-based Importance Sampling. - G. Michele Pinna:
Representing Dependencies in Event Structures. - Iro Armeni, Zhi-Yang He, JunYoung Gwak, Amir R. Zamir, Martin Fischer, Jitendra Malik, Silvio Savarese:
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. - Victoria Kostina:
Fundamental limits of distributed tracking. - Xiang Li, Chen Lin, Chuming Li, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang:
Improving One-shot NAS by Suppressing the Posterior Fading. - Haotian Liu, Lin Xi, Ying Zhao, Zhixiang Li:
Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data. - Zhiheng Li, Xinyue Xing, Bingzhang Lu, Zhixiang Li:
Early Prediction of 30-day ICU Re-admissions Using Natural Language Processing and Machine Learning. - Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas:
Rethinking Kernel Methods for Node Representation Learning on Graphs. - Shreeyak S. Sajjan, Matthew Moore, Mike Pan, Ganesh Nagaraja, Johnny Lee, Andy Zeng, Shuran Song:
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation. - Ilia Sucholutsky, Matthias Schonlau:
Improving Dataset Distillation. - Daniela di Serafino, Dominique Orban:
Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems. - Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig:
Domain Differential Adaptation for Neural Machine Translation. - Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Bio-inspired Learning of Sensorimotor Control for Locomotion. - Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina:
Pushing the limits of RNN Compression. - Wenju Xu, Shawn Shahriar Keshmiri, Guanghui Wang:
Stacked Wasserstein Autoencoder. - Rayna Dimitrova, Mahsa Ghasemi, Ufuk Topcu:
Reactive Synthesis with Maximum Realizability of Linear Temporal Logic Specifications. - Ning Lu, Wenwen Yu, Xianbiao Qi, Yihao Chen, Ping Gong, Rong Xiao:
MASTER: Multi-Aspect Non-local Network for Scene Text Recognition. - Manuel Serra Nunes, Atabak Dehban, Plinio Moreno, José Santos-Victor:
Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study. - Zhiyi Huang, Runzhou Tao:
Understanding Zadimoghaddam's Edge-weighted Online Matching Algorithm: Unweighted Case. - Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang:
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding. - Yuening Li, Daochen Zha, Na Zou, Xia Hu:
PyODDS: An End-to-End Outlier Detection System. - Jinchi Chen, Weiguo Gao, Ke Wei:
Exact matrix completion based on low rank Hankel structure in the Fourier domain. - Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das:
Differential Privacy-enabled Federated Learning for Sensitive Health Data. - (Withdrawn) Why Attention? Analyzing and Remedying BiLSTM Deficiency in Modeling Cross-Context for NER.
- Dhiraj Holden, Yael Kalai:
No-Signaling Proofs with O(√(log n)) Provers are in PSPACE. - Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye:
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. - Alexis Montoison, Dominique Orban:
BiLQ: An Iterative Method for Nonsymmetric Linear Systems with a Quasi-Minimum Error Property. - Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus:
Deep Evidential Regression. - Yan Bin Ng, Basura Fernando:
Human Action Sequence Classification. - Abeer Alshehri, Tim Miller, Liz Sonenberg:
Improving Performance of Multiagent Cooperation Using Epistemic Planning. - Jifan Chen, Shih-Ting Lin, Greg Durrett:
Multi-hop Question Answering via Reasoning Chains. - Gaurav Gupta, Benjamin Coleman, Tharun Medini, Vijai Mohan, Anshumali Shrivastava:
RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time. - Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness:
Compositional Generalization for Primitive Substitutions. - Weihan Chen, Xia Yin, Zhiliang Wang, Xingang Shi:
Placement and Routing Optimization Problem for Service Function Chain: State of Art and Future Opportunities. - Memoona Tahira, Sobas Mehboob, Anis Ur Rahman, Omar Arif:
CrowdFix: An Eyetracking Dataset of Real Life Crowd Videos. - Vladimir N. Potapov:
A Lower Bound on the Number of Boolean Functions with Median Correlation Immunity. - Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott:
Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation. - (Withdrawn) Softmax Is Not an Artificial Trick: An Information-Theoretic View of Softmax in Neural Networks.
- Josh Payne:
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs. - Pathmanathan Pankayaraj, D. H. S. Maithripala:
An Option and Agent Selection Policy with Logarithmic Regret for Multi Agent Multi Armed Bandit Problems on Random Graphs. - Sabah Al-Fedaghi:
Thinging the Use Case Model. - Aurélien Cavelan, Rubén M. Cabezón, Jonas H. Müller Korndörfer, Florina M. Ciorba:
Finding Neighbors in a Forest: A b-tree for Smoothed Particle Hydrodynamics Simulations. - Liangping Ma, Hae Chung, Byung K. Yi:
Four-Dimension Cross Constellations with Gray Mapping. - Arthur Adinayev, Itamar Stein:
Diamond Subgraphs in the Reduction Graph of a One-Rule String Rewriting System. - Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. - Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph E. Gonzalez:
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. - Amir Soleimani, Christof Monz, Marcel Worring:
BERT for Evidence Retrieval and Claim Verification. - Luca Arnaboldi, Roberto Metere:
Towards a Data Centric Approach for the Design and Verification of Cryptographic Protocols. - Jiaxuan Xie, Fanghui Liu, Kaijie Wang, Xiaolin Huang:
Deep Kernel Learning via Random Fourier Features. - Jason Li:
Faster Minimum k-cut of a Simple Graph. - Yulong Wang, Xiaolin Hu, Hang Su:
Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork. - Steve Branson, Jan Dirk Wegner, David Hall, Nico Lang, Konrad Schindler, Pietro Perona:
From Google Maps to a Fine-Grained Catalog of Street trees. - Louis Martin, Benoît Sagot, Éric de la Clergerie, Antoine Bordes:
Controllable Sentence Simplification. - Ziang Zhou, Shenzhong Zhang, Zengfeng Huang:
Dynamic Self-training Framework for Graph Convolutional Networks. - Yuhui Zhang, Greg Gutmann, Akihiko Konagaya:
Irregular Convolutional Auto-Encoder on Point Clouds. - Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, Lu Zhang:
Automatic Testing and Improvement of Machine Translation. - Jingying Ma, Jinming Du, Yuanshi Zheng:
Game-based coalescence over multi-agent systems. - Krzysztof R. Apt, Sunil Simon, Dominik Wojtczak:
Coordination Games on Weighted Directed Graphs. - Kaustav Bose, Ranendu Adhikary, Manash Kumar Kundu, Buddhadeb Sau:
Arbitrary Pattern Formation by Opaque Fat Robots with Lights. - Ilja Manakov, Volker Tresp:
Push it to the Limit: Discover Edge-Cases in Image Data with Autoencoders. - Rahaf Aljundi:
Continual Learning in Neural Networks. - Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li:
Improving Relation Extraction with Knowledge-attention. - Étienne Miquey:
Revisiting the duality of computation: an algebraic analysis of classical realizability models. - Gabriel Marzinotto, Johannes Heinecke, Géraldine Damnati:
MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging. - Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet:
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning. - Alain Finkel, Ekanshdeep Gupta:
The Well Structured Problem for Presburger Counter Machines. - Bipul Islam, Ji Liu, Anthony J. Yezzi, Romeil Sandhu:
An Interactive Control Approach to 3D Shape Reconstruction. - Anton Dereventsov, Armenak Petrosyan, Clayton G. Webster:
Neural network integral representations with the ReLU activation function. - Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin:
Storage or No Storage: Duopoly Competition Between Renewable Energy Suppliers in a Local Energy Market. - Georgios Tzelepis, Ahraz Asif, Saimir Baci, Selcuk Cavdar, Eren Erdal Aksoy:
Deep Neural Network Compression for Image Classification and Object Detection. - Jonas Schmitt, Sebastian Kuckuk, Harald Köstler:
Optimizing Geometric Multigrid Methods with Evolutionary Computation. - Abhishek K. Gupta, Adrish Banerjee:
Modeling and Analysis of Heterogeneous Traffic Networks with Anarchists and Socialist Traffic. - Vikas Raunak, Sang Keun Choe, Quanyang Lu, Yi Xu, Florian Metze:
On Leveraging the Visual Modality for Neural Machine Translation. - Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis Aftab Kiani, Jesper Tegnér:
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces. - Adrián Csiszárik, Beatrix Benko, Dániel Varga:
Negative Sampling in Variational Autoencoders. - Jean-Benoit Delbrouck, Stéphane Dupont:
Adversarial reconstruction for Multi-modal Machine Translation. - Maciej Wolczyk, Jacek Tabor, Marek Smieja, Szymon Maszke:
Biologically-Inspired Spatial Neural Networks. - Phuong Ha Nguyen, Kaleel Mahmood, Lam M. Nguyen, Thanh Nguyen, Marten van Dijk:
BUZz: BUffer Zones for defending adversarial examples in image classification. - Kevin Yu, Prajwal Shanthakumar, Jonah Orevillo, Eric Bianchi, Matthew Hebdon, Pratap Tokekar:
View Planning and Navigation Algorithms for Autonomous Bridge Inspection with UAVs. - Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan:
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. - Erez Schwartz, Guy Tennenholtz, Chen Tessler, Shie Mannor:
Natural Language State Representation for Reinforcement Learning. - Madan Ravi Ganesh, Eric Hofesmann, Nathan Louis, Jason J. Corso:
ViP: Video Platform for PyTorch. - Saeed Akhoondian Amiri, Ben Wiederhake:
Distributed Distance-r Dominating Set on Sparse High-Girth Graphs. - Mohammed Khatiri, Denis Trystram, Frédéric Wagner:
Work Stealing Simulator. - Shahar Harel, Meir Maor, Amir Ronen:
Semantic Preserving Generative Adversarial Models. - Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. - Damian Konrad Kowalczyk, Lars Kai Hansen:
The Complexity of Social Media Response: Statistical Evidence For One-Dimensional Engagement Signal in Twitter. - Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke:
Policies Modulating Trajectory Generators. - Iulia Paraicu, Marius Leordeanu:
Learning Navigation by Visual Localization and Trajectory Prediction. - Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto:
A mathematical theory of cooperative communication. - Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters:
Self-Paced Contextual Reinforcement Learning. - Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain:
Open Set Medical Diagnosis. - Steve Heim, Alexander von Rohr, Sebastian Trimpe, Alexander Badri-Spröwitz:
A Learnable Safety Measure. - Claudio Menghi, Shiva Nejati, Lionel C. Briand, Yago Isasi Parache:
Approximation-Refinement Testing of Compute-Intensive Cyber-Physical Models: An Approach Based on System Identification. - Aram-Alexandre Pooladian, Chris Finlay, Adam M. Oberman:
Farkas layers: don't shift the data, fix the geometry. - Marcel Rumez, Jürgen Dürrwang, Tim Brecht, Timo Steinshorn, Peter Neugebauer, Reiner Kriesten, Eric Sax:
CAN Radar: Sensing Physical Devices in CAN Networks based on Time Domain Reflectometry. - Ferdinando Montecuollo, Giovanni Schmid:
ER-index: a referential index for encrypted genomic databases. - Barbara Kaltenbacher:
All-at-once versus reduced iterative methods for time dependent inverse problems. - Nico Krais, Andrea Beck, Thomas Bolemann, Hannes Frank, David Flad, Gregor Gassner, Florian Hindenlang, Malte Hoffmann, Thomas Kuhn, Matthias Sonntag, Claus-Dieter Munz:
FLEXI: A high order discontinuous Galerkin framework for hyperbolic-parabolic conservation laws. - Yu She, Shaoxiong Wang, Siyuan Dong, Neha Sunil, Alberto Rodriguez, Edward H. Adelson:
Cable Manipulation with a Tactile-Reactive Gripper. - Ana Trisovic, Chris R. Jones, Ben Couturier, Marco Clemencic:
Provenance tracking in the LHCb software. - Giorgio Audrito, Jacob Beal, Ferruccio Damiani, Danilo Pianini, Mirko Viroli:
Field-based Coordination with the Share Operator. - Arthur Jacot, Franck Gabriel, Clément Hongler:
The asymptotic spectrum of the Hessian of DNN throughout training. - Petros Christodoulou, Robert Tjarko Lange, Ali Shafti, A. Aldo Faisal:
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions. - Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla:
Parallel Iterative Edit Models for Local Sequence Transduction. - Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels. - Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov, Nils Y. Hammerla:
Correlations between Word Vector Sets. - Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. - Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi:
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion. - Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh:
Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning. - Samuel Budd, Emma C. Robinson, Bernhard Kainz:
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis. - Hsueh-Ti Derek Liu, Alec Jacobson:
Cubic Stylization. - Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut:
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. - Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences. - Spencer Frei, Yuan Cao, Quanquan Gu:
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks. - Aydan Gasimova:
Automated Enriched Medical Concept Generation for Chest X-ray Images. - Adi Ditkowski, Sigal Gottlieb, Zachary J. Grant:
Explicit and implicit error inhibiting schemes with post-processing. - Hang Gao, Xizhou Zhu, Steve Lin, Jifeng Dai:
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. - Fuchen Ma, Ying Fu, Meng Ren, Wanting Sun, Zhe Liu, Yu Jiang, Jun Sun, Jiaguang Sun:
GasFuzz: Generating High Gas Consumption Inputs to Avoid Out-of-Gas Vulnerability. - Pietro D'Antuono, Michele Ciavarella:
The false myth of the rise in self-citations, and the impressively positive effect of bibliometric evaluations on the increase of the impact of Italian research. - Zhaoji Zhang, Ying Li, Chongwen Huang, Qinghua Guo, Chau Yuen, Yong Liang Guan:
DNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access. - Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability. - Kai Zhang, Jin Sun, Noah Snavely:
Leveraging Vision Reconstruction Pipelines for Satellite Imagery. - Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian:
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels. - Huishan Chen, Zheng Zhang:
Stochastic Model Predictive Control of Autonomous Systems with Non-Gaussian Correlated Uncertainty. - Vincenzo De Florio, Chris Blondia:
Trading off Complexity for Expressiveness in Programming Languages: Visions and Preliminary Experiences. - David Salinas, Michael Bohlke-Schneider, Laurent Callot, Roberto Medico, Jan Gasthaus:
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes. - Joe Watson, Hany Abdulsamad, Jan Peters:
Stochastic Optimal Control as Approximate Input Inference. - Zhenhao Li, Lucia Specia:
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation. - Vladimir Katkovnik, Igor Shevkunov, Karen O. Egiazarian:
Hyperspectral holography and spectroscopy: computational features of inverse discrete cosine transform. - Jeremy D. Frank:
Artificial Intelligence: Powering Human Exploration of the Moon and Mars. - Simon S. Du, Sham M. Kakade, Ruosong Wang, Lin F. Yang:
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? - Thomas M. Bendall, Colin J. Cotter, Darryl D. Holm:
Perspectives on the Formation of Peakons in the Stochastic Camassa-Holm Equation. - Manish Kumar Singh, Vassilis Kekatos, Sina Taheri, Kevin P. Schneider, Chen-Ching Liu:
Enforcing Radiality Constraints for DER-Aided Power Distribution Grid Reconfiguration. - Victor Nijimbere:
Implementation of a Wiener Chaos Expansion Method for the Numerical Solution of the Stochastic Generalized Kuramoto-Sivashinsky Equation driven by Brownian motion forcing. - Devki Nandan Jha, Khaled Alwasel, Areeb Alshoshan, Xianghua Huang, Ranesh Kumar Naha, Sudheer Kumar Battula, Saurabh Kumar Garg, Deepak Puthal, Philip James, Albert Y. Zomaya, Schahram Dustdar, Rajiv Ranjan:
IoTSim-Edge: A Simulation Framework for Modeling the Behaviour of IoT and Edge Computing Environments. - Brian Preskitt, Rayan Saab:
Admissible Measurements and Robust Algorithms for Ptychography. - Guido Schryen:
Parallel computational optimization in operations research: A new integrative framework, literature review and research directions. - Michael Franco, Jean-Sylvain Camier, Julian Andrej, Will Pazner:
High-order matrix-free incompressible flow solvers with GPU acceleration and low-order refined preconditioners. - Erik R. Altman:
Synthesizing Credit Card Transactions. - Salman Ahmed, Ya Xiao, Gang Tan, Kevin Z. Snow, Fabian Monrose, Danfeng Yao:
Measuring Attack Surface Reduction in the Presence of Code (Re-)Randomization. - Oznur Alkan, Massimiliano Mattetti, Elizabeth M. Daly, Adi Botea, Inge Vejsbjerg:
IRF: Interactive Recommendation through Dialogue. - Dian Yu, Michelle Cohn, Yi Mang Yang, Chun-Yen Chen, Weiming Wen, Jiaping Zhang, Mingyang Zhou, Kevin Jesse, Austin Chau, Antara Bhowmick, Shreenath Iyer, Giritheja Sreenivasulu, Sam Davidson, Ashwin Bhandare, Zhou Yu:
Gunrock: A Social Bot for Complex and Engaging Long Conversations. - Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:
Graph Few-shot Learning via Knowledge Transfer. - Erik Burman, Stefan Frei, André Massing:
Eulerian time-stepping schemes for the non-stationary Stokes equations on time-dependent domains. - Teny Handhayani, James Cussens:
Kernel-based Approach to Handle Mixed Data for Inferring Causal Graphs. - Liangping Ma, Tao Deng, Alpaslan Demir:
Cyclic Prefix Adaptation with Constant Overall Symbol Time for DFT-spread-OFDM and OFDM. - Kevin Corder, Manuel M. Vindiola, Keith Decker:
Decentralized Multi-Agent Actor-Critic with Generative Inference. - Dibyajyoti Pati, Caroline Favart, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Michael Potter, Jiahui Guan, Xiaomeng Dong, V. Ratna Saripalli:
Impact of Inference Accelerators on hardware selection. - Bowen Yu, Ye Yuan, Loren Terveen, Zhiwei Steven Wu, Haiyi Zhu:
Designing Interfaces to Help Stakeholders Comprehend, Navigate, and Manage Algorithmic Trade-Offs. - Dimitri A. Schreiber, Hanpeng Jiang, Guosong Li, Julie Yu, Zhaowei Yu, Renjie Zhu, Alexander M. Norbash, Michael C. Yip:
CRANE: A highly dexterous needle placement robot for evaluation of interventional radiology procedures. - Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom:
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. - Antonio Capizzi, Salvatore Distefano, Manuel Mazzara:
From DevOps to DevDataOps: Data Management in DevOps processes. - Ivan Fursov, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeniy Burnaev:
Sequence embeddings help to identify fraudulent cases in healthcare insurance. - Rahul Bera, Anant V. Nori, Onur Mutlu, Sreenivas Subramoney:
DSPatch: Dual Spatial Pattern Prefetcher. - Antonia Gogoglou, C. Bayan Bruss, Keegan E. Hines:
On the Interpretability and Evaluation of Graph Representation Learning. - Alireza Rezazadeh, Max Berniker:
Force Field Generalization and the Internal Representation of Motor Learning. - Wei Zhan, Liting Sun, Di Wang, Haojie Shi, Aubrey Clausse, Maximilian Naumann, Julius Kümmerle, Hendrik Königshof, Christoph Stiller, Arnaud de La Fortelle, Masayoshi Tomizuka:
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps. - Vedant Bhatia, Prateek Rawat, Ajit Kumar, Rajiv Ratn Shah:
End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT. - Fatih Cagatay Akyon, M. Esat Kalfaoglu:
Instagram Fake and Automated Account Detection. - Ian A. Kash, Michael Sullins, Katja Hofmann:
Combining No-regret and Q-learning. - Clayton Mangette, Pratap Tokekar:
Multi-Robot Coordinated Planning in Confined Environments under Kinematic Constraints. - Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu:
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. - Klaus von Gleissenthall, Rami Gökhan Kici, Deian Stefan, Ranjit Jhala:
Iodine: Verifying Constant-Time Execution of Hardware. - Lukas Kölsch, Manuel Dupuis, Kirtan Bhatt, Stefan Krebs, Sören Hohmann:
Distributed Frequency Regulation for Heterogeneous Microgrids via Steady State Optimal Control. - Mohamed Nadjib Mami, Damien Graux, Harsh Thakkar, Simon Scerri, Sören Auer, Jens Lehmann:
The Query Translation Landscape: a Survey. - Chun Pong Lau, Hossein Souri, Rama Chellappa:
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence. - Zhuwei Qin, Fuxun Yu, Xiang Chen:
Task-Adaptive Incremental Learning for Intelligent Edge Devices. - Jiunn-Kai Huang, Jessy W. Grizzle:
Improvements to Target-Based 3D LiDAR to Camera Calibration. - Gabriele Scalia, Colin A. Grambow, Barbara Pernici, Yi-Pei Li, William H. Green Jr.:
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction. - Moritz Hoffmann, Frank Noé:
Generating valid Euclidean distance matrices. - Ankur Handa, Karl Van Wyk, Wei Yang, Jacky Liang, Yu-Wei Chao, Qian Wan, Stan Birchfield, Nathan D. Ratliff, Dieter Fox:
DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System. - Xinchi Chen, Chunchuan Lyu, Ivan Titov:
Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks. - Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, Bo Li:
Detecting AI Trojans Using Meta Neural Analysis. - Taskeen Zaidi, Nitya Nand Dwivedi:
Voice Packet Performance Estimation through Step Network Using OPNET. - Yizheng Zhang, Andre Rosendo:
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals. - Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. - Henry H. Yu, Jiang Liu, Hao Sun, Ziwen Wang, Haotian Zhang:
GetNet: Get Target Area for Image Pairing. - Yang Liu, Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Credible Sample Elicitation by Deep Learning, for Deep Learning. - Xufan Zhang, Yilin Yang, Yang Feng, Zhenyu Chen:
Software Engineering Practice in the Development of Deep Learning Applications. - Alan Wu, A. J. Piergiovanni, Michael S. Ryoo:
Model-based Behavioral Cloning with Future Image Similarity Learning. - Daniel Barry, Munir Shah, Merel Keijsers, Humayun Khan, Banon Hopman:
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware. - Eduard Feireisl, Mária Lukácová, Bangwei She, Yue Wang:
Computing oscillatory solutions of the Euler system via K-convergence. - Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais:
A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach. - Pingping Zhang, Wei Liu, Yinjie Lei, Hongyu Wang, Huchuan Lu:
Deep Multiphase Level Set for Scene Parsing. - Koki Ho, Hai Wang, Paul A. DeTrempe, Tristan Sarton du Jonchay, Kento Tomita:
Semi-Analytical Model for Design and Analysis of On-Orbit Servicing Architecture. - Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li:
Insider Threat Detection via Hierarchical Neural Temporal Point Processes. - Micha Livne, Kevin Swersky, David J. Fleet:
MIM: Mutual Information Machine. - Ta-Chun Su, Hsiang-Chih Cheng:
SesameBERT: Attention for Anywhere. - Rajeev Bhatt Ambati, Saptarashmi Bandyopadhyay, Prasenjit Mitra:
Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach. - Kerry A. Nice, Jasper S. Wijnands, Ariane Middel, Jingcheng Wang, Yiming Qiu, Nan Zhao, Jason Thompson, Gideon D. P. A. Aschwanden, Haifeng Zhao, Mark Stevenson:
Sky pixel detection in outdoor imagery using an adaptive algorithm and machine learning. - Rahul-Vigneswaran K, S. Sachin Kumar, Neethu Mohan, Soman K. P.:
Dynamic Mode Decomposition based feature for Image Classification. - Lu Lu, Pengzhan Jin, George Em Karniadakis:
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators. - Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng:
An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. - Wei Liu, Li Chen, Yunfei Chen, Wenyi Zhang:
Accelerating Federated Learning via Momentum Gradient Descent. - Yognjin Lee:
Differentiable Sparsification for Deep Neural Networks. - Zijian Gao, Amanda Kowalczyk:
Random forest model identifies serve strength as a key predictor of tennis match outcome. - Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. - Anant A. Joshi, Maulik C. Bhatt, Arpita Sinha:
Modification of Hilbert's Space-Filling Curve to Avoid Obstacles: A Robotic Path-Planning Strategy. - Pablo Antolin, Josef Kiendl, Marco Pingaro, Alessandro Reali:
A simple and effective method based on strain projections to alleviate locking in isogeometric solid shells. - Wojciech Michal Matkowski, Frodo Kin Sun Chan, Adams Wai-Kin Kong:
A Study on Wrist Identification for Forensic Investigation. - Tomohiro Fujii, Masao Hirokawa:
A Data Concealing Technique with Random Noise Disturbance and A Restoring Technique for the Concealed Data by Stochastic Process Estimation. - Martin Lester:
Understanding the Expressive Power of Unhygienic Substitution in Metaprogramming via Combinatory Logic. - Cristina-Iulia Bucur, Tobias Kuhn, Davide Ceolin:
Peer Reviewing Revisited: Assessing Research with Interlinked Semantic Comments. - Kerry A. Nice, Jason Thompson, Jasper S. Wijnands, Gideon D. P. A. Aschwanden, Mark Stevenson:
The 'Paris-end' of town? Urban typology through machine learning. - Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler:
NGBoost: Natural Gradient Boosting for Probabilistic Prediction. - Soumyabrata Dev, Hossein Javidnia, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié:
Identifying Candidate Spaces for Advert Implantation. - Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. - Yang Liu, Hongyi Guo:
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates. - Lutz Bornmann, Alexander Tekles, Helena H. Zhang, Fred Y. Ye:
Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data. - Christoph Heindl, Markus Ikeda, Gernot Stübl, Andreas Pichler, Josef Scharinger:
Metric Pose Estimation for Human-Machine Interaction Using Monocular Vision. - Ricard Durall, Franz-Josef Pfreundt, Janis Keuper:
Semi Few-Shot Attribute Translation. - Jianshu Li, Xiaoyin Hu, Junjie Luo, Jinchuan Cui:
A Fast Exact Algorithm for Airplane Refueling Problem. - Shijie Ai, Yazhou Ren, Lili Pan:
Self-Paced Deep Regression Forests for Facial Age Estimation. - Paul Reisert, Benjamin Heinzerling, Naoya Inoue, Shun Kiyono, Kentaro Inui:
Riposte! A Large Corpus of Counter-Arguments. - Sándor P. Fekete, Jonas Grosse-Holz, Phillip Keldenich, Arne Schmidt:
Parallel Online Algorithms for the Bin Packing Problem. - Kyo Kutsuzawa, Hitoshi Kusano, Ayaka Kume, Shoichiro Yamaguchi:
Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots. - Jinnan Piao, Kai Niu, Jincheng Dai, Chao Dong:
Approaching the Finite Blocklength Capacity within 0.025dB by Short Polar Codes and CRC-Aided Hybrid Decoding. - Shota Saito, Toshiyasu Matsushima:
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code. - Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, Gerhard Weikum:
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. - Chunmei Su, Wenqi Yao:
A Deuflhard-type exponential integrator Fourier pseudospectral method for the "Good" Boussinesq equation. - Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, Marco Guerini:
CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech. - Priya Kansal, Sabari Nathan:
Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation. - Michela Moschella, Mauro Tucci, Emanuele Crisostomi, Alessandro Betti:
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level. - Mirko Zichichi, Stefano Ferretti, Gabriele D'Angelo:
A Distributed Ledger Based Infrastructure for Smart Transportation System and Social Good. - Gyordan Caminati, Sara Kiade, Gabriele D'Angelo, Stefano Ferretti, Vittorio Ghini:
Fast Session Resumption in DTLS for Mobile Communications. - Zhiyi Huang:
Understanding Zadimoghaddam's Edge-weighted Online Matching Algorithm: Weighted Case. - Alireza Mohammadshahi, Rémi Lebret, Karl Aberer:
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task. - Xuping Zhang, Jiefei Yang, Ziying Liu:
The conjugate gradient method with various viewpoints. - Xusheng Luo, Yonghua Yang, Kenny Q. Zhu, Yu Gong, Keping Yang:
Conceptualize and Infer User Needs in E-commerce. - Mario Amrein:
A Global Newton-Type Scheme Based on a Simplified Newton-Type Approach. - Ivan Viola, Min Chen, Tobias Isenberg:
Visual Abstraction. - Fernando Macías:
Multilevel Modelling and Domain-Specific Languages. - Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi:
One-To-Many Multilingual End-to-end Speech Translation. - Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak:
Integrated Process Planning and Scheduling in Commercial Smart Kitchens. - Cristian Hernandez Benet, Andreas J. Kassler:
FlowDyn: Towards a Dynamic Flowlet Gap Detection using Programmable Data Planes. - Shuai Zhao, Piotr Dziurzanski, Leandro Soares Indrusiak:
An XML-based Factory Description Language for Smart Manufacturing Plants in Industry 4.0. - Monika Henzinger, Xiaowei Wu:
Upper and Lower Bounds for Fully Retroactive Graph Problems. - Taoran Wei, Danhua Cao, Xingru Jiang, Caiyun Zheng, Lizhe Liu:
Defective samples simulation through Neural Style Transfer for automatic surface defect segment. - Victor Vaquero, Kai Fischer, Francesc Moreno-Noguer, Alberto Sanfeliu, Stefan Milz:
Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds. - Jan Soukup:
Improved lower bounds on parity vertex colourings of binary trees. - Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens, Stéphane Dupont:
Modulated Self-attention Convolutional Network for VQA. - Raúl Rondón, Aamir Mahmood, Simone Grimaldi, Mikael Gidlund:
Understanding the Performance of Bluetooth Mesh: Reliability, Delay and Scalability Analysis. - Gideon Gbenga Oladipupo:
Research on the Concept of Liquid State Machine. - Miguel Domingo, Francisco Casacuberta:
An Interactive Machine Translation Framework for Modernizing Historical Documents. - Farbod Farshidian, David Hoeller, Marco Hutter:
Deep Value Model Predictive Control. - Oleg Davydov:
Error Bounds for a Least Squares Meshless Finite Difference Method on Closed Manifolds. - Wenqiang Pu, Jinjun Xiao, Tao Zhang, Zhi-Quan Luo:
Overcoming DoF Limitation in Robust Beamforming: A Penalized Inequality-Constrained Approach. - Markus Sinnl:
A note on computational approaches for the antibandwidth problem. - Dan Garber, Ben Kretzu:
Improved Regret Bounds for Projection-free Bandit Convex Optimization. - Petra Barancíková, Ondrej Bojar:
In Search for Linear Relations in Sentence Embedding Spaces. - Maurício Sousa, Daniel Mendes, Rafael Kuffner dos Anjos, Daniel Simões Lopes, Joaquim A. Jorge:
Negative Space: Workspace Awareness in 3D Face-to-Face Remote Collaboration. - Gideon Gbenga Oladipupo:
A Review of Soft Robots. - Lukas Ortmann, Adrian Hauswirth, Ivo Caduff, Florian Dörfler, Saverio Bolognani:
Experimental Validation of Feedback Optimization in Power Distribution Grids. - Usama Yaseen, Pankaj Gupta, Hinrich Schütze:
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019. - Manuel Stoeckel, Wahed Hemati, Alexander Mehler:
When Specialization Helps: Using Pooled Contextualized Embeddings to Detect Chemical and Biomedical Entities in Spanish. - Makan Zamanipour:
A Survey on Deep-Learning based Techniques for Modeling and Estimation of MassiveMIMO Channels. - Lukas Ortmann, Alexander Prostejovsky, Kai Heussen, Saverio Bolognani:
Fully Distributed Peer-to-Peer Optimal Voltage Control with Minimal Model Requirements. - Sahba Aghajani Pedram, Peter Walker Ferguson, Changyeob Shin, Ankur Mehta, Erik P. Dutson, Farshid Alambeigi, Jacob Rosen:
Toward Synergic Learning for Autonomous Manipulation of Deformable Tissues via Surgical Robots: An Approximate Q-Learning Approach. - Jiazuo Qiu, Deyi Xiong:
Generating Highly Relevant Questions. - Matthias Bentert, Klaus Heeger, Dusan Knop:
Length-Bounded Cuts: Proper Interval Graphs and Structural Parameters. - Arul Selvam Periyasamy, Max Schwarz, Sven Behnke:
Refining 6D Object Pose Predictions using Abstract Render-and-Compare. - Katja Tuma, Christian Sandberg, Urban Thorsson, Mathias Widman, Riccardo Scandariato:
Finding Security Threats That Matter: An Industrial Case Study. - Thomas Wick, Winnifried Wollner:
Optimization with nonstationary, nonlinear monolithic fluid-structure interaction. - Ángel Panizo-LLedot, Javier Torregrosa, Gema Bello Orgaz, Joshua Thorburn, David Camacho:
Describing Alt-Right communities and their discourse on Twitter during the 2018 US mid-term elections. - Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley:
Federated Learning of N-gram Language Models. - Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu:
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. - Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. - Guillaume Ducoffe, Michel Habib, Laurent Viennot:
Fast Diameter Computation within Split Graphs. - Isabelly Rocha, Gabriel Vinha, Andrey Brito, Pascal Felber, Marcelo Pasin, Valerio Schiavoni:
ABEONA: an Architecture for Energy-Aware Task Migrations from the Edge to the Cloud. - Katherine Hoffmann Pham, Francesco Rampazzo, Leah R. Rosenzweig:
Online Surveys and Digital Demography in the Developing World: Facebook Users in Kenya. - Suprosanna Shit, Abinav Ravi Venkatakrishnan, Ivan Ezhov, Jana Lipková, Marie Piraud, Bjoern H. Menze:
Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee. - Abby Stylianou, Richard Souvenir, Robert Pless:
TraffickCam: Explainable Image Matching For Sex Trafficking Investigations. - Vicki M. Bier, Paul B. Kantor, Gary Lupyan, Xiaojin Zhu:
Can We Distinguish Machine Learning from Human Learning? - Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen:
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation. - Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari:
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. - Dominik Schmidt, Georgia Koppe, Max Beutelspacher, Daniel Durstewitz:
Inferring Dynamical Systems with Long-Range Dependencies through Line Attractor Regularization. - Manish Munikar, Sushil Shakya, Aakash Shrestha:
Fine-grained Sentiment Classification using BERT. - Awais Khan Jumani, Mashooque Ahmed Memon, Fida Hussain Khoso, Anwar Ali Sanjrani, Safeeullah Soomro:
Named Entity Recognition System for Sindhi Language. - Sam Shleifer, Manish Chablani, Namit Katariya, Anitha Kannan, Xavier Amatriain:
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue. - Glen Chou, Necmiye Ozay, Dmitry Berenson:
Learning Parametric Constraints in High Dimensions from Demonstrations. - Javier Cabrera-Arteaga, Martin Monperrus, Benoit Baudry:
Scalable Comparison of JavaScript V8 Bytecode Traces. - Mariella Dimiccoli, Herwig Wendt:
Learning event representations in image sequences by dynamic graph embedding. - Raheel Qader, François Portet, Cyril Labbé:
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models. - Nikolaos Malandrakis, Minmin Shen, Anuj Kumar Goyal, Shuyang Gao, Abhishek Sethi, Angeliki Metallinou:
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents. - Joseph Enguehard, Dan Busbridge, Vitalii Zhelezniak, Nils Y. Hammerla:
Neural Language Priors. - Álvaro Ibrain Rodríguez, Lara Lloret Iglesias:
Fake news detection using Deep Learning. - Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian Tab, Mahdi Jalili, Parham Moradi:
Self-Paced Multi-Label Learning with Diversity. - Dominique Mercier, Akansha Bhardwaj, Andreas Dengel, Sheraz Ahmed:
SentiCite: An Approach for Publication Sentiment Analysis. - Jinghui Lu, Maeve Henchion, Brian Mac Namee:
Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets. - Pan Li, Alexander Tuzhilin:
Towards Controllable and Personalized Review Generation. - Hashim A. Yamani, Abdulaziz D. Alhaidari:
Iterative polynomial-root-finding procedure with enhanced accuracy. - Francesc Wilhelmi, Sergio Barrachina-Muñoz, Boris Bellalta, Cristina Cano, Anders Jonsson, Vishnu Ram:
A Flexible Machine Learning-Aware Architecture for Future WLANs. - Carol J. Smith:
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development. - Luke Eller, Théo Guérin, Baichuan Huang, Garrett Warren, Sophie Yang, Josh Roy, Stefanie Tellex:
Advanced Autonomy on a Low-Cost Educational Drone Platform. - Oliver J. D. Barrowclough, Sverre Briseid, Georg Muntingh, Torbjørn Viksand:
Real-time processing of high resolution video and 3D model-based tracking in remote tower operations. - Masoud Farhadi, Mehdi Abapour:
Three Switch Three Phase Inverter With Improved DC Voltage Utilization. - Masoud Farhadi, Majid Tahmasbi Fard, Mehdi Abapour, Mehrdad Tarafdar Hagh:
DC-AC Converter-Fed Induction Motor Drive With Fault-Tolerant Capability Under Open- and Short-Circuit Switch Failures. - Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko:
Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs. - Leonid Boytsov, Eric Nyberg:
Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs. - Leonid Boytsov, Eric Nyberg:
Pruning Algorithms for Low-Dimensional Non-metric k-NN Search: A Case Study. - Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. - Yingwei Pan, Yehao Li, Qi Cai, Yang Chen, Ting Yao:
Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019. - Heinrich Küttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rocktäschel, Edward Grefenstette:
TorchBeast: A PyTorch Platform for Distributed RL. - Ananda Theertha Suresh:
Differentially private anonymized histograms. - Masoud Farhadi, Mehdi Abapour, Mehran Sabahi:
Failure analysis and reliability evaluation of modulation techniques for neutral point clamped inverters-A usage model approach. - Borna Sayedana, Aditya Mahajan:
Counterexamples on the monotonicity of delay optimal strategies for energy harvesting transmitters. - Amritanshu Pandey, Aayushya Agarwal, Marko Jereminov, Larry T. Pileggi:
Robust Online Simulation Framework for Grid Restoration Under Loss of SCADA. - Matteo Semplice, Giuseppe Visconti:
Efficient implementation of adaptive order reconstructions. - Jong-Chyi Su, Subhransu Maji, Bharath Hariharan:
When Does Self-supervision Improve Few-shot Learning? - John Zarka, Louis Thiry, Tomás Angles, Stéphane Mallat:
Deep Network classification by Scattering and Homotopy dictionary learning. - Baturalp Buyukates, Sennur Ulukus:
Timely Distributed Computation with Stragglers. - Yufei Ye, Dhiraj Gandhi, Abhinav Gupta, Shubham Tulsiani:
Object-centric Forward Modeling for Model Predictive Control. - Colin J. Cotter, Dan Crisan, Darryl D. Holm, Wei Pan, Igor Shevchenko:
Data assimilation for a quasi-geostrophic model with circulation-preserving stochastic transport noise. - Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
Active-Code Replacement in the OODIDA Data Analytics Platform. - Giulio Cerbai, Lapo Cioni, Luca Ferrari:
Stack Sorting with Increasing and Decreasing Stacks. - Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos:
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing. - Daliang Li, Junpu Wang:
FedMD: Heterogenous Federated Learning via Model Distillation. - Francesco Malandrino, Carla-Fabiana Chiasserini, Gil Einziger, Gabriel Scalosub:
Reducing Service Deployment Cost Through VNF Sharing. - Manish Bhattarai, Manel Martínez-Ramón:
Detection and Identification of Objects and Humans in Thermal Images. - Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters:
Receding Horizon Curiosity. - Fahimeh Ebrahimi, Miroslav Tushev, Anas Mahmoud:
Mobile App Privacy in Software Engineering Research: A Systematic Mapping Study. - Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations. - Stefan Thurner, Wenyuan Liu, Peter Klimek, Siew Ann Cheong:
The role of mainstreamness and interdisciplinarity for the relevance of scientific papers. - Weiyang Zhang, Wenshuo Wang, Ding Zhao:
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. - Prerna Kashyap, Samrat Phatale, Iddo Drori:
Prose for a Painting. - Subhabrata Paul, Keshav Ranjan:
On vertex-edge and independent vertex-edge domination. - Jaein Lim, Panagiotis Tsiotras:
MAMS-A*: Multi-Agent Multi-Scale A. - Haoqi Li, Brian R. Baucom, Panayiotis G. Georgiou:
Linking emotions to behaviors through deep transfer learning. - Clint D. Lombard, Corné E. van Daalen:
Stochastic Triangular Mesh Mapping. - Edoardo Galimberti, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Span-core Decomposition for Temporal Networks: Algorithms and Applications. - Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning through Hard Tasks. - Jean Mercat, Thomas Gilles, Nicole El Zoghby, Guillaume Sandou, Dominique Beauvois, Guillermo Pita Gil:
Multi-Modal Simultaneous Forecasting of Vehicle Position Sequences using Social Attention. - Mirza Galib Anwarul Husain Baig, Deepanjan Kesh:
Improved Bounds for Two Query Adaptive Bitprobe Schemes Storing Five Elements. - Alane Suhr, Claudia Yan, Jacob Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi:
Executing Instructions in Situated Collaborative Interactions. - Joe Bolt, Jules Hedges, Philipp Zahn:
Bayesian open games. - Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson:
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. - Ignacio Losada Carreno, Anna Scaglione, Anatoly Zlotnik, Deepjyoti Deka, Kaarthik Sundar:
An Adversarial Model for Attack Vector Vulnerability Analysis on Power and Gas Delivery Operations. - José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. - Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl:
Bias-Resilient Neural Network. - Muhammad Mahbubur Rahman, Tim Finin:
Unfolding the Structure of a Document using Deep Learning. - Oded Green, James Fox, Jeffrey Young, Jun Shirako, David A. Bader:
Performance Impact of Memory Channels on Sparse and Irregular Algorithms. - Earlence Fernandes, Amir Rahmati, Nick Feamster:
New Problems and Solutions in IoT Security and Privacy. - Zixiao Ma, Zhaoyu Wang, Yuxuan Yuan:
An Improved Large-Signal Order Reduction Method of Microgrids with Stability and Accuracy Assessment. - Sehyun Chun, Nima Hamidi Ghalehjegh, Joseph B. Choi, Chris Schwarz, John G. Gaspar, Daniel V. McGehee, Stephen S. Baek:
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks. - Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell:
AutoML using Metadata Language Embeddings. - Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust:
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. - Casey Casalnuovo, Kevin Lee, Hulin Wang, Prem Devanbu, Emily Morgan:
Do People Prefer "Natural" code? - Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao:
On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications. - Siddharth H. Nair, Monimoy Bujarbaruah, Francesco Borrelli:
Modeling of Dynamical Systems via Successive Graph Approximations. - Daniel Tabas, Baosen Zhang:
Optimal L-Infinity Frequency Control in Microgrids Considering Actuator Saturation. - Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Yao, Xing Fan, Edward Guo:
Knowledge Distillation from Internal Representations. - Hans De Sterck, Robert D. Falgout, Stephanie Friedhoff, Oliver A. Krzysik, Scott P. MacLachlan:
Optimizing MGRIT and Parareal coarse-grid operators for linear advection. - Nil Stolt Ansó:
Investigation on the generalization of the Sampled Policy Gradient algorithm. - Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar:
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations. - Vibhavari Dasagi, Jake Bruce, Thierry Peynot, Jürgen Leitner:
Ctrl-Z: Recovering from Instability in Reinforcement Learning. - Diego Garat, Dina Wonsever:
Towards De-identification of Legal Texts. - Haoran Wei, Mariefel Olarte, Garrett B. Goh:
Multiple-objective Reinforcement Learning for Inverse Design and Identification. - Tan M. Nguyen, Nan Ye, Peter L. Bartlett:
Learning Near-optimal Convex Combinations of Basis Models with Generalization Guarantees. - Haoran Wei, Yuanbo Wang, Lidia Mangu, Keith Decker:
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books. - Richard Yuanzhe Pang:
The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation. - Benjamín Béjar Haro, Ivan Dokmanic, René Vidal:
The fastest 𝓁1, ∞ prox in the west. - Amit Kumar Sikder, Leonardo Babun, Hidayet Aksu, A. Selcuk Uluagac:
Aegis: A Context-aware Security Framework for Smart Home Systems. - Behzad Asadi, Vijay Varadharajan:
An MDL-Based Classifier for Transactional Datasets with Application in Malware Detection. - Qingyang Wu, Yichi Zhang, Yu Li, Zhou Yu:
Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models. - Marius Zimand:
Secret key agreement from correlated data, with no prior information. - Jingyi Lu, Alex S. Leong, Daniel E. Quevedo:
An event-triggered transmission scheduling strategy for remote state estimation in the presence of an eavesdropper. - Mohammad Javad Khodaei, Nicholas Candelino, Amin Mehrvarz, Nader Jalili:
Physiological Closed-Loop Control (PCLC) Systems: Review of a Modern Frontier in Automation. - Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew:
HuggingFace's Transformers: State-of-the-art Natural Language Processing. - Hengyue Liang, Xibai Lou, Changhyun Choi:
Knowledge Induced Deep Q-Network for a Slide-to-Wall Object Grasping. - Tong Ma, Renke Huang, David A. Barajas-Solano, Ramakrishna Tipireddy, Alexandre M. Tartakovsky:
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression. - Kohei Suenaga, Takuya Ishizawa:
Generalized Property-Directed Reachability for Hybrid Systems. - Xia Wu, Xueyuan Xu, Jianhong Liu, Hailing Wang, Bin Hu, Feiping Nie:
Supervised feature selection with orthogonal regression and feature weighting. - Janis Nötzel:
Entanglement-Enabled Communication. - Hossein Esfandiari, Mohammad Taghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher:
Prophets, Secretaries, and Maximizing the Probability of Choosing the Best. - Gutha Jaya Krishna, Vadlamani Ravi:
Large Scale Global Optimization by Hybrid Evolutionary Computation. - Takanori Maehara, Hoang NT:
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks. - Mahesh Pal:
Deep neural network for pier scour prediction. - Samuel Rönnqvist, Jenna Kanerva, Tapio Salakoski, Filip Ginter:
Is Multilingual BERT Fluent in Language Generation? - Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth:
Adversarial Learning of Deepfakes in Accounting. - Matteo Drago, Michele Polese, Stepán Kucera, Dmitry Kozlov, Vitalii Kirillov, Michele Zorzi:
QoS Provisioning in 60 GHz Communications by Physical and Transport Layer Coordination. - Raul Gomez, Jaume Gibert, Lluís Gómez, Dimosthenis Karatzas:
Exploring Hate Speech Detection in Multimodal Publications. - Run-Qing Chen, Guang-Hui Shi, Wan-Lei Zhao, Chang-Hui Liang:
Sequential VAE-LSTM for Anomaly Detection on Time Series. - Himangshu Kalita, Jekan Thangavelautham:
Automated Multidisciplinary Design and Control of Hopping Robots for Exploration of Extreme Environments on the Moon and Mars. - Jekan Thangavelautham, Aman Chandra, Erik Jensen:
Autonomous Multirobot Technologies for Mars Mining Base Construction and Operation. - Juexiao Zhang, Yubei Chen, Brian Cheung, Bruno A. Olshausen:
Word Embedding Visualization Via Dictionary Learning. - Zili Meng, Minhu Wang, Mingwei Xu, Hongzi Mao, Jiasong Bai, Hongxin Hu:
Explaining Deep Learning-Based Networked Systems. - Christoph Hunkenschröder:
Deciding whether a Lattice has an Orthonormal Basis is in co-NP. - Yinglong Wang, Haokui Zhang, Yu Liu, Qinfeng Shi, Bing Zeng:
Gradient Information Guided Deraining with A Novel Network and Adversarial Training. - Koog-Hwan Oh, Baris Fidan, Hyo-Sung Ahn:
Edge Localization in Two Dimensional Space via Orientation Estimation. - Qiang Tang:
Privacy-preserving and yet Robust Collaborative Filtering Recommender as a Service. - Fangyi Liu, Lei Zhang:
View Confusion Feature Learning for Person Re-identification. - Rizhao Cai, Changsheng Chen:
Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing. - Fuhai Chen, Rongrong Ji, Chengpeng Dai, Xiaoshuai Sun, Chia-Wen Lin, Jiayi Ji, Baochang Zhang, Feiyue Huang, Liujuan Cao:
Semantic-aware Image Deblurring. - Martina Zambelli, Antoine Cully, Yiannis Demiris:
Multimodal representation models for prediction and control from partial information. - Daniel Torres-Salinas, Wenceslao Arroyo-Machado:
Library Catalog Analysis and Library Holdings Counts: origins, methodological issues and application to the field of Informetrics. - Marcin B. Tomczak, Dongho Kim, Peter Vrancx, Kee-Eung Kim:
Policy Optimization Through Approximated Importance Sampling. - Zhijie Fang, Antonio M. López:
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation. - Yuqing Du, Sheng Yang, Kaibin Huang:
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning. - Ivan Skorokhodov, Mikhail Burtsev:
Loss Landscape Sightseeing with Multi-Point Optimization. - Anton Mallasto, Guido Montúfar, Augusto Gerolin:
How Well Do WGANs Estimate the Wasserstein Metric? - Younkwan Lee, Juhyun Lee, Hoyeon Ahn, Moongu Jeon:
SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate Recognition. - Nikos Diamantopoulos, Jeffrey Wong, David Issa Mattos, Ilias Gerostathopoulos, Matthew Wardrop, Tobias Mao, Colin McFarland:
Engineering for a Science-Centric Experimentation Platform. - Haakon Robinson, Adil Rasheed, Omer San:
Dissecting Deep Neural Networks. - Marcin B. Tomczak, Sergio Valcarcel Macua, Enrique Munoz de Cote, Peter Vrancx:
Compatible features for Monotonic Policy Improvement. - Luca Coradello, Pablo Antolin, Rafael Vázquez Hernández, Annalisa Buffa:
Adaptive isogeometric analysis on two-dimensional trimmed domains based on a hierarchical approach. - Wenqiang Liu, Hongyun Cai, Xu Cheng, Sifa Xie, Yipeng Yu, Hanyu Zhang:
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding. - Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Fast Panoptic Segmentation Network. - Gabriele Oligeri, Savio Sciancalepore, Simone Raponi, Roberto Di Pietro:
BrokenStrokes: On the (in)Security of Wireless Keyboards. - Danila Rukhovich, Danil Galeev:
MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challenge. - T. M. Feroz Ali, Subhasis Chaudhuri:
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification. - Nils Gessert, Maximilian Nielsen, Mohsin Shaikh, René Werner, Alexander Schlaefer:
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data. - Patrick Wilken, Evgeny Matusov:
Novel Applications of Factored Neural Machine Translation. - Taiping Zeng, Bailu Si:
A Brain-Inspired Compact Cognitive Mapping System. - Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
Learning to Generalize One Sample at a Time with Self-Supervision. - Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones:
Deep Latent Defence. - Stefan Hetzl, Jannik Vierling:
Clause Set Cycles and Induction. - Pawel Parys:
Parity Games: Another View on Lehtinen's Algorithm. - T. M. Feroz Ali, Kalpesh K. Patel, Rajbabu Velmurugan, Subhasis Chaudhuri:
Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification. - Lluís Alemany-Puig, Ramon Ferrer-i-Cancho:
Edge crossings in random linear arrangements. - Frank Nielsen:
On geodesic triangles with right angles in a dually flat space. - Mamdouh Farouk:
Measuring Sentences Similarity: A Survey. - Ali Sadeghian, Shervin Minaee, Ioannis Partalas, Xinxin Li, Daisy Zhe Wang, Brooke Cowan:
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision. - (Withdrawn) Nearly Minimal Over-Parametrization of Shallow Neural Networks.
- Daniel Hader, Aaron Koch, Matthew J. Patitz, Michael Sharp:
The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Universality in the abstract Tile Assembly Model. - Jiayu Zhou, Deli Qiao:
Alternate Distributed Beamforming for Decode-and-Forward Multi-Relay Systems Using Buffers. - Gerrit Großmann, Luca Bortolussi, Verena Wolf:
Rejection-Based Simulation of Non-Markovian Agents on Complex Networks. - Marcin Straczkiewicz, Jukka-Pekka Onnela:
A systematic review of human activity recognition using smartphones. - Yazhan Zhang, Weihao Yuan, Zicheng Kan, Michael Yu Wang:
Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors. - Lorenzo Nespoli, Vasco Medici, Kristijan Lopatichki, Fabrizio Sossan:
Hierarchical Demand Forecasting Benchmark for the Distribution Grid. - Gheorghe Tecuci, Dorin Marcu, Mihai Boicu, Steven Meckl, Chirag Uttamsingh:
Toward a Computational Theory of Evidence-Based Reasoning for Instructable Cognitive Agents. - Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool:
Semantic Understanding of Foggy Scenes with Purely Synthetic Data. - Raphaèle Herbin, Jean-Claude Latché, Sébastian Minjeaud, Nicolas Therme:
Conservativity And Weak Consistency Of A Class Of Staggered Finite Volume Methods For The Euler Equations. - Katharina Kormann, Eric Sonnendrücker:
Energy-conserving time propagation for a geometric particle-in-cell Vlasov-Maxwell solver. - Eky Febrianto, Michael Ortiz, Fehmi Cirak:
Mollified finite element approximants of arbitrary order and smoothness. - Elena Álvarez Mellado, Eben Holderness, Nicholas Miller, Fyonn Dhang, Philip Cawkwell, Kirsten Bolton, James Pustejovsky, Mei-Hua Hall:
Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction. - Konstantin B. Bulatov, Daniil Matalov, Vladimir V. Arlazarov:
MIDV-2019: Challenges of the modern mobile-based document OCR. - Diego Agustín Ambrossio, Marcos Cramer:
A Query-Driven Decision Procedure for Distributed Autoepistemic Logic with Inductive Definitions. - Ignacio Arroyo-Fernández, Mauricio Carrasco-Ruiz, José Anibal Arias-Aguilar:
On the Possibility of Rewarding Structure Learning Agents: Mutual Information on Linguistic Random Sets. - Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks. - Natasha Jarus, Sahra Sedigh Sarvestani, Ali R. Hurson:
Towards Refinement and Generalization of Reliability Models Based on Component States. - Frank Pallas, Philip Raschke, David Bermbach:
Fog Computing as Privacy Enabler. - Shadab Shishegar, Sophie Duchesne, Geneviéve Pelletier:
Predictive Real-Time Control Optimization of a Stormwater Management System. - Victor Gabillon, Rasul Tutunov, Michal Valko, Haitham Bou-Ammar:
Derivative-Free & Order-Robust Optimisation. - Kyle Reeser, Christopher Conlon, Amber L. Doiron:
Triangle Mesh Slicing and Contour Construction for Three-Dimensional Printing on a Rotating Mandrel. - Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré:
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning. - Ramy E. Ali, Bilgehan Erman, Ejder Bastug, Bruce Cilli:
Hierarchical Deep Double Q-Routing. - Antonio Zecchino, Zhao Yuan, Fabrizio Sossan, Rachid Cherkaoui, Mario Paolone:
Optimal Provision of Concurrent Primary Frequency and Local Voltage Control from a BESS Considering Variable Capability Curves: Modelling and Experimental Assessment. - Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel:
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. - Marco Menardi, Alex Falcon, Saida S. Mohamed, Lorenzo Seidenari, Giuseppe Serra, Alberto Del Bimbo, Carlo Tasso:
Text-to-Image Synthesis Based on Machine Generated Captions. - Hidenori Ogata:
Numerical method of computing Hadamard finite-part integrals with a non-integral power singularity at the endpoint over a half infinite interval. - Zongjing Cao, Hyo Jong Lee:
Person re-identification based on Res2Net network. - Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep Evolving Denoising Autoencoder. - Xin Deng, Pier Luigi Dragotti:
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion. - Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. - Yaman Kumar, Debanjan Mahata, Sagar Aggarwal, Anmol Chugh, Rajat Maheshwari, Rajiv Ratn Shah:
BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories. - Varun Ravi Kumar, Sandesh Athni Hiremath, Stefan Milz, Christian Witt, Clément Pinard, Senthil Kumar Yogamani, Patrick Mäder:
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. - Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel, Odalric-Ambrym Maillard:
Model-Based Reinforcement Learning Exploiting State-Action Equivalence. - Henri Faure, Christiane Lemieux:
Implementation of irreducible Sobol sequences in prime power bases. - Johannes Lehner, Andreas Mitterecker, Thomas Adler, Markus Hofmarcher, Bernhard Nessler, Sepp Hochreiter:
Patch Refinement - Localized 3D Object Detection. - Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber:
Improving Generalization in Meta Reinforcement Learning using Learned Objectives. - Chuhang Zou, Jheng-Wei Su, Chi-Han Peng, Alex Colburn, Qi Shan, Peter Wonka, Hung-Kuo Chu, Derek Hoiem:
3D Manhattan Room Layout Reconstruction from a Single 360 Image. - Richard C. Tillquist, Rafael M. Frongillo, Manuel E. Lladser:
Metric Dimension. - Ruihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang, Yichen Wei:
Vehicle Re-identification with Viewpoint-aware Metric Learning. - Konstantin B. Bulatov, Boris Savelyev, Vladimir V. Arlazarov:
Next integrated result modelling for stopping the text field recognition process in a video using a result model with per-character alternatives. - Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz:
Continual Learning Using Bayesian Neural Networks. - Lydia T. Liu, Ashia Wilson, Nika Haghtalab, Adam Tauman Kalai, Christian Borgs, Jennifer T. Chayes:
The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally. - Jianxiong Guo, Weili Wu:
A k-hop Collaborate Game Model: Adaptive Strategy to Maximize Total Revenue. - Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Scalable Nearest Neighbor Search for Optimal Transport. - Parvaneh Shayegh, Vijayanta Jain, Amin Rabinia, Sepideh Ghanavati:
Automated Approach to Improve IoT Privacy Policies. - Canh V. Pham, Hieu V. Duong, My T. Thai:
Importance Sample-based Approximation Algorithm for Cost-aware Targeted Viral Marketing. - Gilles Barthe, Rohit Chadha, Vishal Jagannath, A. Prasad Sistla, Mahesh Viswanathan:
Automated Methods for Checking Differential Privacy. - Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller:
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models. - Siyang Wang, Justin Lazarow, Kwonjoon Lee, Zhuowen Tu:
Unaligned Image-to-Sequence Transformation with Loop Consistency. - Chandra Sharma, Samuel Moylan, George T. Amariucai, Eugene Y. Vasserman:
An Extended Survey on Vehicle Security. - Zhaoji Zhang, Ying Li, Chongwen Huang, Qinghua Guo, Chau Yuen, Yong Liang Guan:
DNN-Aided Message Passing Based Block Sparse Bayesian Learning for Joint User Activity Detection and Channel Estimation. - Yizhen Chen:
Mobile Sensor Networks: Bounds on Capacity and Complexity of Realizability. - Varun Kumar, Hadrien Glaude, Cyprien de Lichy, William Campbell:
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification. - Clara McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain:
Domain-Relevant Embeddings for Medical Question Similarity. - Jesus Toledo, Yongxin Wu, Héctor Ramírez, Yann Le Gorrec:
Observer-based boundary control of distributed port-Hamiltonian systems. - Ahmed Alamer, Ben Soh:
A new neural-network-based model for measuring the strength of a pseudorandom binary sequence. - Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell:
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity. - Sumit Kumar Banshal, Vivek Kumar Singh, Pranab K. Muhuri, Philipp Mayr:
Disciplinary Variations in Altmetric Coverage of Scholarly Articles. - Jerry Ma, Denis Yarats:
On the adequacy of untuned warmup for adaptive optimization. - Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell:
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. - Gal Yona, Amirata Ghorbani, James Y. Zou:
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data. - Nima Roohi, Mahesh Viswanathan:
Revisiting MITL to Fix Decision Procedures. - Renan Souza, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. - Sergio Cabello, Éric Colin de Verdière:
Hardness of Minimum Barrier Shrinkage and Minimum Activation Path. - Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti:
Improving Password Guessing via Representation Learning. - Zhouyuan Huo, Heng Huang:
Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining. - Sachin Vernekar, Ashish Gaurav, Vahdat Abdelzad, Taylor Denouden, Rick Salay, Krzysztof Czarnecki:
Out-of-distribution Detection in Classifiers via Generation. - Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming. - Chirag Agarwal, Dan Schonfeld, Anh Nguyen:
Removing input features via a generative model to explain their attributions to classifier's decisions. - Samyadeep Basu, Rauf Izmailov, Chris Mesterharm:
Membership Model Inversion Attacks for Deep Networks. - Hernán C. Melgratti, Claudio Antares Mezzina, Irek Ulidowski:
Reversing Place Transition Nets. - Sarthak, Shikhar Shukla, Govind Mittal:
Spoken Language Identification using ConvNets. - Ayush Kumar, Rudolf Netzel, Michael Burch, Daniel Weiskopf, Klaus Mueller:
Visual Multi-Metric Grouping of Eye-Tracking Data. - Daniel Campos, Zoe Konrad:
Experiments in Inferring Social Networks of Diffusion. - Erin W. Chambers, Jeff Erickson, Kyle Fox, Amir Nayyeri:
Minimum Cuts in Surface Graphs. - Shixian Wen, Laurent Itti:
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system. - Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. - Colin Wei, Tengyu Ma:
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin. - Muhammad Tahir, Saeed Anwar, Ajmal Mian:
Deep localization of protein structures in fluorescence microscopy images. - Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren:
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. - Thomas P. Dover:
Using NIST Special Publication (SP) 800-171r2/171B to assess and evaluate the Information Security posture of Technology Service Providers who support Covered Entities and/or their Business Associates in the Healthcare Sector. - Joshua Smith, Michael N. Mistry:
Online Simultaneous Semi-Parametric Dynamics Model Learning. - Yueming Lyu, Ivor W. Tsang:
Stochastic Implicit Natural Gradient for Black-box Optimization. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Differential Privacy in Blockhain Technology: A Futuristic Approach. - Rui Liu, Xichan Zhu, Lin Liu, Biao Wu, Zhixiong Ma, Zhiwei Fei, Jingwei He:
Cooperative driving strategy based on naturalitic driving data and non-cooperative MPC. - Younkwan Lee, Jiwon Jun, Yoojin Hong, Moongu Jeon:
Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution. - Jonathan K. Adams:
WiFiCue: Public Wireless Access Security Assessment Tool. - Younkwan Lee, Juhyun Lee, Yoojin Hong, YeongMin Ko, Moongu Jeon:
Unconstrained Road Marking Recognition with Generative Adversarial Networks. - Keizo Kato, Jing Zhou, Akira Nakagawa:
Rate-Distortion Optimization Guided Autoencoder for Generative Approach with quantitatively measurable latent space. - Shuaichao Li, Wanqing Zhang, Ying Cui, Hei Victor Cheng, Wei Yu:
Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-encoder. - Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg:
Sparse tree search optimality guarantees in POMDPs with continuous observation spaces. - Yansheng Wu, Xiaomeng Zhu, Qin Yue:
Optimal few-weight codes from simplicial complexes. - Marvin Chancán, Michael Milford:
From Visual Place Recognition to Navigation: Learning Sample-Efficient Control Policies across Diverse Real World Environments. - Adam Fishman, Chris Paxton, Wei Yang, Nathan D. Ratliff, Dieter Fox:
Trajectory Optimization for Coordinated Human-Robot Collaboration. - Chang Wei Tan, François Petitjean, Eamonn J. Keogh, Geoffrey I. Webb:
Time series classification for varying length series. - Linda Cai, Clayton Thomas, S. Matthew Weinberg:
Implementation in Advised Strategies: Welfare Guarantees from Posted-Price Mechanisms when Demand Queries are NP-hard. - Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han:
FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams. - Xiaoming Chen, Weiqing You, Meng Jiao, Kejun Zhang, Shuang Qing, Zhiqiang Wang:
A New Cryptosystem Based on Positive Braids. - Yao-Li Chuang, Noam Ben-Asher, Maria R. D'Orsogna:
Local alliances and rivalries shape near-repeat terror activity of al-Qaeda, ISIS and insurgents. - Weiqing You, Guozhen Shi, Xiaoming Chen, Jian Qi, Chuang Qing:
Research on a Hybrid System With Perfect Forward Secrecy. - Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin G. Yager, Wei Xu:
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images. - Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh:
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning. - Muni Sreenivas Pydi, Vishnu Suresh Lokhande:
Active Learning with Importance Sampling. - Jian Ma:
Estimating Transfer Entropy via Copula Entropy. - Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu:
RLCard: A Toolkit for Reinforcement Learning in Card Games. - Monimoy Bujarbaruah, Siddharth H. Nair, Francesco Borrelli:
A Semi-Definite Programming Approach to Robust Adaptive MPC under State Dependent Uncertainty. - Yang Liu, David P. Helmbold:
Online Learning Using Only Peer Assessment. - Dusko Pavlovic, Temra Pavlovic:
Causality and deceit: Do androids watch action movies? - Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama:
Learning Only from Relevant Keywords and Unlabeled Documents. - Vivien Cabannes, Thomas Kerdreux, Louis Thiry, Tina Campana, Charly Ferrandes:
Dialog on a canvas with a machine. - Jonathan Mallinson, Mirella Lapata:
Controllable Sentence Simplification: Employing Syntactic and Lexical Constraints. - Asha Kumari Meena, Rakesh Kumar, Praveen Chandrashekar:
Positivity-preserving finite difference WENO scheme for Ten-Moment equations with source term. - Yonglin Tian, Kunfeng Wang, Yuang Wang, Yulin Tian, Zilei Wang, Fei-Yue Wang:
Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection. - Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee:
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. - Linda Cai, Clayton Thomas:
Representing All Stable Matchings by Walking a Maximal Chain. - Lifeng Xie, Jie Xu, Yong Zeng:
Common Throughput Maximization for UAV-Enabled Interference Channel with Wireless Powered Communications. - Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath:
AI for Explaining Decisions in Multi-Agent Environments. - Linda Cai, Clayton Thomas:
The Short-Side Advantage in Random Matching Markets. - Syed Zohaib Hassan, Kashif Ahmad, Nicola Conci, Ala I. Al-Fuqaha:
Sentiment Analysis from Images of Natural Disasters. - Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan:
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement. - Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. - Boris Ruf, Matteo Sammarco, Marcin Detyniecki:
Contract Statements Knowledge Service for Chatbots. - Jun-Jie Jiang, Ying-Cheng Lai:
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius. - Hao Yang, Zhongliang Yang, YongJian Bao, Yongfeng Huang:
Hierarchical Representation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals. - Johannes de Fine Licht, Torsten Hoefler:
hlslib: Software Engineering for Hardware Design. - (Withdrawn) A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model.
- Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang:
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. - Benjamin Guedj, Louis Pujol:
Still no free lunches: the price to pay for tighter PAC-Bayes bounds. - Kento Nozawa, Pascal Germain, Benjamin Guedj:
PAC-Bayesian Contrastive Unsupervised Representation Learning. - Xuanyi Dong, Yi Yang:
Searching for A Robust Neural Architecture in Four GPU Hours. - Xianmang He:
Construction of Const Dimension Code from Two Parallel Versions of Linkage Construction. - Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput:
Semi-Supervised Variational Autoencoder for Survival Prediction. - Pavel Naumov, Kevin Ros:
Strategic Coalitions in Stochastic Games. - Kevin Gómez, Matthias Täschner, M. Ali Rostami, Christopher Rost, Erhard Rahm:
Graph Sampling with Distributed In-Memory Dataflow Systems. - David Puljiz, Björn Hein:
Concepts for End-to-end Augmented Reality based Human-Robot Interaction Systems. - Nezihe Merve Gürel, Hansheng Ren, Yujing Wang, Hui Xue, Yaming Yang, Ce Zhang:
An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation. - Mingu Lee, Jinkyu Lee, Hye Jin Jang, Byeonggeun Kim, Wonil Chang, Kyuwoong Hwang:
Orthogonality Constrained Multi-Head Attention For Keyword Spotting. - Khaled Alwasel, Rodrigo N. Calheiros, Saurabh Kumar Garg, Rajkumar Buyya, Rajiv Ranjan:
BigDataSDNSim: A Simulator for Analyzing Big Data Applications in Software-Defined Cloud Data Centers. - Mattias Appelgren, Patrick Schrempf, Matús Falis, Satoshi Ikeda, Alison Q. O'Neil:
Language Transfer for Early Warning of Epidemics from Social Media. - Matilde Gargiani, Aaron Klein, Stefan Falkner, Frank Hutter:
Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings. - Vaishak Belle:
The Quest for Interpretable and Responsible Artificial Intelligence. - Martin Trapp, Robert Peharz, Franz Pernkopf, Carl E. Rasmussen:
Deep Structured Mixtures of Gaussian Processes. - Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia:
Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning. - Tianyi Zhang, Zhiqiu Lin, Guandao Yang, Christopher De Sa:
QPyTorch: A Low-Precision Arithmetic Simulation Framework. - Yuwei Shang, Wenchuan Wu, Jianbo Guo, Zhe Lv, Zhao Ma, Wanxing Sheng, Ran Chen:
Stochastic Dispatch of Energy Storage in Microgrids: A Reinforcement Learning Approach Incorporated with MCTS. - Thalita E. Nazaré, Erivelton G. Nepomuceno:
Simulation Reproducibility of a Chaotic Circuit. - Artur Kobus:
Forced extension of GNI techniques to dissipative systems. - Romeil Sandhu, Ji Liu:
Maxwells Demon: Controlling Entropy via Discrete Ricci Flow Over Networks. - Marco Paggi, Andrea Amicarelli, Pietro Lenarda:
SPH modelling of hydrodynamic lubrication: laminar fluid flow-structure interaction with no-slip conditions for slider bearings. - Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu:
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization. - Mingfeng Wang, Xin Dong, Weiming Ba, Abdelkhalick Mohammad, Dragos Axinte, Andy Norton:
Design, Modelling and Validation of a Novel Extra Slender Continuum Robot for In-situ Inspection and Repair in Aeroengine. - Jens Wurm, Simon Bachler, Frank Woittennek:
New delay-differential thermal models for variable pipe flow - a rigorous distributed parameter approach. - (Withdrawn) Trained Rank Pruning for Efficient Deep Neural Networks.
- Chenghua Duan, Chun Liu, Cheng Wang, Xingye Yue:
Convergence analysis of a numerical scheme for the porous medium equation by an energetic variational approach. - Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. - M. Hadi Balaghi I., Duarte J. Antunes, Mohammad H. Mamduhi, Sandra Hirche:
Decentralized LQ-Consistent Event-triggered Control over a Shared Contention-based Network. - Dongwoo Sheen:
P1-nonconforming polyhedral finite elements in high dimensions. - Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun:
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. - Michael Blondin, Javier Esparza, Blaise Genest, Martin Helfrich, Stefan Jaax:
Succinct Population Protocols for Presburger Arithmetic. - Naoya Inoue, Pontus Stenetorp, Kentaro Inui:
RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension. - Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. - Chenhuang Wu, Vladimir Edemskiy, Chunxiang Xu:
On k-error linear complexity of binary sequences derived from Euler quotients modulo 2p. - Pei Wang, Arash Givchi, Patrick Shafto:
Manifold learning from a teacher's demonstrations. - Marco Di Felice, Luca Sciullo, Lorenzo Gigli, Cristiano Aguzzi, Luca Roffia, Angelo Trotta, Tullio Salmon Cinotti:
WoT Store: a Thing and Application Management Ecosystem for the W3C Web of Things. - Hang Gao, Tim Oates:
Universal Adversarial Perturbation for Text Classification. - Marco Baldi, Franco Chiaraluce, Migelan Kodra, Luca Spalazzi:
Security analysis of a blockchain-based protocol for the certification of academic credentials. - Markus Klügel, Mohammad H. Mamduhi, Onur Ayan, Mikhail Vilgelm, Karl Henrik Johansson, Sandra Hirche, Wolfgang Kellerer:
Joint Cross-layer Optimization in Real-Time Networked Control Systems. - Yicheng Hong:
Comparison of Generative Adversarial Networks Architectures Which Reduce Mode Collapse. - Aaron Hertzmann:
Visual Indeterminacy in Generative Neural Art. - Ferdinando Montecuollo, Giovanni Schmid, Roberto Tagliaferri:
E2FM: an encrypted and compressed full-text index for collections of genomic sequences. - Fida Mohammad Thoker, Juergen Gall:
Cross-modal knowledge distillation for action recognition. - Ruben Martins, Saurabh Joshi, Vasco Manquinho, Inês Lynce:
Reflections on "Incremental Cardinality Constraints for MaxSAT". - Bugra Çaskurlu, Özgün Ekici, Fatih Erdem Kizilkaya:
On Existence of Equilibrium Under Social Coalition Structures. - Yuwen Xiong, Mengye Ren, Raquel Urtasun:
Learning to Remember from a Multi-Task Teacher. - Myounggyu Won:
Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey. - Rameshwar Pratap, Debajyoti Bera, Karthik Revanuru:
Efficient Sketching Algorithm for Sparse Binary Data. - Wissam Siblini, Charlotte Pasqual, Axel Lavielle, Cyril Cauchois:
Multilingual Question Answering from Formatted Text applied to Conversational Agents. - Johannes Groß, Aljosa Osep, Bastian Leibe:
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects. - Kanika Monga, Akul Malhotra, Nitin Chaturvedi, S. Gurunayaranan:
A Novel Low Power Non-Volatile SRAM Cell with Self Write Termination. - Ethan Shaotran, Jonathan J. Cruz, Vijay Janapa Reddi:
GLADAS: Gesture Learning for Advanced Driver Assistance Systems. - Miguel Ángel Bernabé, Jacinto Estima, María Ester González, Carlos Granell, Carlos López-Vázquez, Miguel R. Luaces, Bruno Martins, Daniela Moctezuma, Diego Seco:
IDEAIS: Smart Voice Assistants to Improve Interaction with SDIs. - Glyn Lawson, Emily Shaw, Tessa Roper, Tommy Nilsson, Laura Bajorunaite, Ayesha Batool:
Immersive virtual worlds: Multi-sensory virtual environments for health and safety training. - Prithaj Jana, Emil Joswin:
Brown Ring Experiment in Virtual Reality. - Martin Alain, Weston Aenchbacher, Aljosa Smolic:
Interactive Light Field Tilt-Shift Refocus with Generalized Shift-and-Sum. - Zackory Erickson, Vamsee Gangaram, Ariel Kapusta, C. Karen Liu, Charles C. Kemp:
Assistive Gym: A Physics Simulation Framework for Assistive Robotics. - Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. - Gregory Gutmann, Akihiko Konagaya:
Predictive Simulation: Using Regression and Artificial Neural Networks to Negate Latency in Networked Interactive Virtual Reality. - Ana Budisa, Wietse M. Boon, Xiaozhe Hu:
Mixed-Dimensional Auxiliary Space Preconditioners. - Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell:
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. - Lorenzo Zino, Giacomo Como, Fabio Fagnani:
Fast Spread in Controlled Evolutionary Dynamics. - David Wood, James H. Cole, Thomas C. Booth:
NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification. - Karan K. Budhraja, Hang Gao, Tim Oates:
Using Neural Networks for Programming by Demonstration. - Yang Liu, Jingfa Li, Shuyu Sun, Bo Yu:
A full multigrid multilevel Monte Carlo method for the single phase subsurface flow with random coefficients. - Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska:
LISA: Towards Learned DNA Sequence Search. - Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. - Ondrej Dusek, Karin Sevegnani, Ioannis Konstas, Verena Rieser:
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking). - Ziheng Wang, Jeremy Wohlwend, Tao Lei:
Structured Pruning of Large Language Models. - Hironori Washizaki, Hiromu Uchida, Foutse Khomh, Yann-Gaël Guéhéneuc:
Studying Software Engineering Patterns for Designing Machine Learning Systems. - Björn Friedrich, Benjamin Cauchi, Andreas Hein, Sebastian J. F. Fudickar:
Transportation Mode Classification from Smartphone Sensors via a Long-Short-Term-Memory Network. - Jessica Lee, Deva Ramanan, Rohit Girdhar:
MetaPix: Few-Shot Video Retargeting. - Rohit Girdhar, Deva Ramanan:
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning. - Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang:
Referring Expression Object Segmentation with Caption-Aware Consistency. - Ximing Qiao, Yukun Yang, Hai Li:
Defending Neural Backdoors via Generative Distribution Modeling. - Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab. - André T. Nguyen, Edward Raff, Aaron Sant-Miller:
Would a File by Any Other Name Seem as Malicious? - Jungseok Hong, Michael Fulton, Junaed Sattar:
A Generative Approach Towards Improved Robotic Detection of Marine Litter. - David Prokhorov, Dmitry Zhukov, Olga Barinova, Anna Vorontsova, Anton Konushin:
Measuring robustness of Visual SLAM. - Homayoon E. Estekanchi, Hassan Vafai, Goodarz Ahmadi, Mohammadreza Mashayekhi, Mojtaba Harati, S. Ali Mirfarhadi:
A state-of-knowledge review on the Endurance Time Method. - Qi Li, Long Mai, Anh Nguyen:
Improving sample diversity of a pre-trained, class-conditional GAN by changing its class embeddings. - Michael Poulshock:
The Foundations of Political Realism. - Ahmed Al-Baghdadi, Xiang Lian, En Cheng:
Efficient Path Routing Over Road Networks in the Presence of Ad-Hoc Obstacles (Technical Report). - Rejin John Varghese, Benny P. L. Lo, Guang-Zhong Yang:
Design and Prototyping of a Bio-inspired Kinematic Sensing Suit for the Shoulder Joint: Precursor to a Multi-DoF Shoulder Exosuit. - George T. Cantwell, Guillaume St-Onge, Jean-Gabriel Young:
Recovering the past states of growing trees. - Shruti Jadon, Mahmood Jasim:
Video Summarization using Keyframe Extraction and Video Skimming. - Jianchao Zhang, Angelica I. Avilés-Rivero, Daniel Heydecker, Xiosheng Zhuang, Raymond H. Chan, Carola-Bibiane Schönlieb:
Dynamic Spectral Residual Superpixels. - Ilia Sivkov, Alfio Lazzaro, Jürg Hutter:
DBCSR: A Library for Dense Matrix Multiplications on Distributed GPU-Accelerated Systems. - Yuan Liang, Weinan Song, J. P. Dym, Kun Wang, Lei He:
CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion. - Dong Chen, Longsheng Jiang, Yue Wang, Zhaojian Li:
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model. - Weiwei Gu, Fei Gao, Xiaodan Lou, Jiang Zhang:
Link Prediction via Graph Attention Network. - Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag:
Estimation of Utility-Maximizing Bounds on Potential Outcomes. - Theodoros Tsiligkaridis:
Information Robust Dirichlet Networks for Predictive Uncertainty Estimation. - Sergio Martinez-Losa del Rincon, Esteban Damián Gutiérrez Mlot:
Blockchain and radio communications over suborbital spaceflights: Watchtowers and Mystics. - Shiwali Mohan, Anusha Venkatakrishnan, Andrea L. Hartzler:
Designing an AI Health Coach and Studying its Utility in Promoting Regular Aerobic Exercise. - Ming Zeng, Viktoria Fodor:
Dynamic Spectrum Sharing for Load Balancing in Multi-Cell Mobile Edge Computing. - James B. Orlin, Xiao-Yue Gong:
A Fast Max Flow Algorithm. - Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha:
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. - Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. - Kiwoo Shin, Masayoshi Tomizuka:
Improving a Quality of 3D Object Detection by Spatial Transformation Mechanism. - Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg:
Deep Imitation Learning of Sequential Fabric Smoothing Policies. - Dimitrios Kollias, Stefanos Zafeiriou:
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace. - Marco Zamprogno, Marco Passon, Niki Martinel, Giuseppe Serra, Giuseppe Lancioni, Christian Micheloni, Carlo Tasso, Gian Luca Foresti:
Video-Based Convolutional Attention for Person Re-Identification. - Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Sampling the "Inverse Set" of a Neuron: An Approach to Understanding Neural Nets. - Lu Mi, Hao Wang, Yonglong Tian, Nir Shavit:
Training-Free Uncertainty Estimation for Neural Networks. - Xingyuan Chen, Ping Cai, Peng Jin, Haokun Du, Hongjun Wang, Xingyu Dai, Jiajun Chen:
The Detection of Distributional Discrepancy for Text Generation. - Zhengming Ding, Yandong Guo, Lei Zhang, Yun Fu:
Generative One-Shot Face Recognition. - Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han:
Place Deduplication with Embeddings. - Justin Zheng, Kazuhide Okamoto, Panagiotis Tsiotras:
Vision-Based Autonomous Vehicle Control using the Two-Point Visual Driver Control Model. - Hamed Nikbakht:
Merging Virtual and Real Environments for Visualizing Seismic Hazards and Risk. - Lichao Chen, Sudhir Singh, Thomas Kailath, Vwani P. Roychowdhury:
Brain-inspired automated visual object discovery and detection. - Adewale Akinfaderin, Olamilekan Wahab:
NASS-AI: Towards Digitization of Parliamentary Bills using Document Level Embedding and Bidirectional Long Short-Term Memory. - Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, André Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby:
The Visual Task Adaptation Benchmark. - Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Inferring and Improving Street Maps with Data-Driven Automation. - Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau:
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning. - Daniele Cattaneo, Matteo Vaghi, Simone Fontana, Augusto Luis Ballardini, Domenico Giorgio Sorrenti:
Global visual localization in LiDAR-maps through shared 2D-3D embedding space. - Rodolfo Corona, Stephan Alaniz, Zeynep Akata:
Modeling Conceptual Understanding in Image Reference Games. - John Keller, Sebastian A. Scherer:
A Stereo Algorithm for Thin Obstacles and Reflective Objects. - Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang, Michael Potter, Aritra Chowdhury, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Rajesh Tamada, Gaurav Kumar, Caroline Favart, V. Ratna Saripalli, Gopal Avinash:
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. - Prateeth Nayak, David Zhang, Sek Chai:
Bit Efficient Quantization for Deep Neural Networks. - Vinci Chow:
Predicting Auction Price of Vehicle License Plate with Deep Residual Learning. - Pritam Majumder, Sungkeun Kim, Jiayi Huang, Ki Hwan Yum, Eun Jung Kim:
Remote Control: A Simple Deadlock Avoidance Scheme for Modular System on Chip. - George C. Hsiao, Tonatiuh Sánchez-Vizuet, Francisco-Javier Sayas:
Time-Domain Boundary Integral Methods in Linear Thermoelasticity. - Samuel Sharpe, Jin Yan, Fan Wu, Iddo Drori:
Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities. - Michal Konecný, Eike Neumann:
Implementing evaluation strategies for continuous real functions. - Hamda Ajmal, Michael G. Madden, Catherine G. Enright:
PROFET: Construction and Inference of DBNs Based on Mathematical Models. - Arturo Pardo, José A. Gutiérrez-Gutiérrez, José Miguel López-Higuera, Brian W. Pogue, Olga M. Conde:
Coloring the Black Box: Visualizing neural network behavior with a self-introspective model. - Vinesh Kannan, Matthew A. Shapiro, Mustafa Bilgic:
Hindsight Analysis of the Chicago Food Inspection Forecasting Model. - Gourav Datta, Haolin Cong, Souvik Kundu, Peter A. Beerel:
Metastability-Resilient Synchronization FIFO for SFQ Logic. - Hamda Ajmal, Michael G. Madden, Catherine G. Enright:
Dealing with Stochasticity in Biological ODE Models. - Ankit Wagle, Gian Singh, Jinghua Yang, Sunil P. Khatri, Sarma B. K. Vrudhula:
Threshold Logic in a Flash. - Virginia Vassilevska Williams, Yinzhan Xu:
Truly Subcubic Min-Plus Product for Less Structured Matrices, with Applications. - Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gábor Bartók, Jesse Berent:
Gumbel-Matrix Routing for Flexible Multi-task Learning. - Tina Mai, Daniele Mortari:
Theory of functional connections applied to nonlinear programming under equality constraints. - Bin Wang, Yongsheng Gao, Xiaohan Yu, Xiaohui Yuan, Shengwu Xiong, Xianzhong Feng:
From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images. - Si Yi Meng, Sharan Vaswani, Issam H. Laradji, Mark Schmidt, Simon Lacoste-Julien:
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation. - Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha:
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks. - Zhishen Tong, Jian Wang, Shensheng Han:
Preconditioned Multiple Orthogonal Least Squares and Applications in Ghost Imaging via Sparsity Constraint. - Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei:
GREASE: A Generative Model for Relevance Search over Knowledge Graphs. - Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton:
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems. - Arindam Banerjee, Qilong Gu, Vidyashankar Sivakumar, Zhiwei Steven Wu:
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond. - Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng:
FetusMap: Fetal Pose Estimation in 3D Ultrasound. - Ziwei Liao, Jieqi Shi, Xianyu Qi, Xiaoyu Zhang, Wei Wang, Yijia He, Ran Wei, Xiao Liu:
Coarse-To-Fine Visual Localization Using Semantic Compact Map. - Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
Rk-means: Fast Clustering for Relational Data. - Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee, Jorgen Thelin, Nikhil R. Devanur, Ion Stoica:
Blink: Fast and Generic Collectives for Distributed ML. - Jianhui Nie, Zhaochen Zhang, Ye Liu, Hao Gao, Feng Xu, Wenkai Shi:
Point cloud ridge-valley feature enhancement based on position and normal guidance. - Lee Easson, Alireza Tavakkoli, Jonathan Greenberg:
An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications. - Dirk Pattinson, Mina Mohammadian:
Constructive Domains with Classical Witnesses. - Wei-Ming Chen, Tei-Wei Kuo, Pi-Cheng Hsiu:
Enabling Failure-resilient Intermittent Systems Without Runtime Checkpointing. - Bai Li, Tankut Acarman, Qi Kong, Youmin Zhang:
Trajectory Planning for Autonomous Parking in Complex Environments: A Tunnel-based Optimal Control Approach. - John Chen, Anastasios Kyrillidis:
Decaying momentum helps neural network training. - Chaitanya Mitash, Bowen Wen, Kostas E. Bekris, Abdeslam Boularias:
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects. - Yan Jiang, Eliza Cohn, Petr Vorobev, Enrique Mallada:
Dynamic Droop Approach for Storage-based Frequency Control. - Chaoyang He, Conghui Tan, Hanlin Tang, Shuang Qiu, Ji Liu:
Central Server Free Federated Learning over Single-sided Trust Social Networks. - Lianying Zhao, He Shuang, Shengjie Xu, Wei Huang, Rongzhen Cui, Pushkar Bettadpur, David Lie:
SoK: Hardware Security Support for Trustworthy Execution. - Dina Obeid, Hugo Ramambason, Cengiz Pehlevan:
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks. - Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab S. Mirrokni:
Batched Multi-Armed Bandits with Optimal Regret. - Mauricio Perez, Jun Liu, Alex C. Kot:
Interaction Relational Network for Mutual Action Recognition. - Wenwu Zhu, Xin Wang, Hongzhi Li:
Multi-modal Deep Analysis for Multimedia. - Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs). - Hamid Shiri, Jihong Park, Mehdi Bennis:
Remote UAV Online Path Planning via Neural Network Based Opportunistic Control. - Gege Zhang, Gangwei Li, Weidong Zhang:
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos? - Garrison Neel, Amir Darwesh, Quang Le, Srikanth Saripalli:
Autonomous Shuttles for Last-Mile Connectivity. - Kenneth Michael Stewart, Emre Neftci, Garrick Orchard, Sumit Bam Shrestha:
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. - Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
A Quality Metric for Symmetric Graph Drawings. - Praveen Chandrashekar, Boniface Nkonga, Asha Kumari Meena, Ashish Bhole:
A path conservative finite volume method for a shear shallow water model. - Nicholas Andrews, Marcus Bishop:
Learning Invariant Representations of Social Media Users. - Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea:
Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling. - Mengjia Yan, Mengao Zhao, Zining Xu, Qian Zhang, Guoli Wang, Zhizhong Su:
VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition. - Yue Gao, Yuan Guo, Zhouhui Lian, Yingmin Tang, Jianguo Xiao:
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning. - Rui Fan, Ming Liu:
Road Damage Detection Based on Unsupervised Disparity Map Segmentation. - Santhilata Kuppili Venkata, Katarzyna Musial:
Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment. - Rama Seshan Chandrasekaran, Leonardo J. Colombo, Margarida Camarinha, Ravi N. Banavar, Anthony M. Bloch:
Variational collision and obstacle avoidance of multi-agent systems on Riemannian manifolds. - Sebastian Zambal, Christoph Heindl, Christian Eitzinger, Josef Scharinger:
End-to-End Defect Detection in Automated Fiber Placement Based on Artificially Generated Data. - Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Bürger:
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. - Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson:
Generalized Planning With Procedural Domain Control Knowledge. - Heinz W. Schmidt, Maria Spichkova:
Towards Readability Aspects of Probabilistic Mode Automata. - Noémie Jaquier, David Ginsbourger, Sylvain Calinon:
Learning from demonstration with model-based Gaussian process. - Zvika Ben-Haim, Vladimir Anisimov, Aaron Yonas, Varun Gulshan, Yusef Shafi, Stephan Hoyer, Sella Nevo:
Inundation Modeling in Data Scarce Regions. - Maria Spichkova, Heinz W. Schmidt:
Requirements Engineering for Global Systems: Cultural, Regulatory and Technical Aspects. - Jean-Claude Houbart, Solen Quiniou, Marion Berthaut, Béatrice Daille, Claire Salomé:
Automatic segmentation of texts into units of meaning for reading assistance. - Stéphane Demri, Étienne Lozes, Alessio Mansutti:
Internal Calculi for Separation Logics. - Nathanaël Fijalkow, Mohit Kumar Gupta:
Verification of Neural Networks: Specifying Global Robustness using Generative Models. - Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi Di Stefano:
Shooting Labels: 3D Semantic Labeling by Virtual Reality. - Alex Bird, Christopher K. I. Williams:
Customizing Sequence Generation with Multi-Task Dynamical Systems. - Maximilian Idahl, Megha Khosla, Avishek Anand:
Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases. - Deli Chen, Shuming Ma, Keiko Harimoto, Ruihan Bao, Qi Su, Xu Sun:
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction. - Chengtao Cai, Yueyuan Zhou, Yanming Wang:
CHD: Consecutive Horizontal Dropout for Human Gait Feature Extraction. - Yimin Jing, Deyi Xiong, Yan Zhen:
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels. - Jasine Babu, Veena Prabhakaran:
A new lower bound for eternal vertex cover number. - Zhiyong Du, Yansha Deng, Weisi Guo, Arumugam Nallanathan, Qihui Wu:
Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge. - Elahe Arani, Fahad Sarfraz, Bahram Zonooz:
Improving Generalization and Robustness with Noisy Collaboration in Knowledge Distillation. - Erion Çano, Ondrej Bojar:
Keyphrase Generation: A Multi-Aspect Survey. - Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel:
Relation learning in a neurocomputational architecture supports cross-domain transfer. - Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. - Deli Chen, Yanyan Zou, Keiko Harimoto, Ruihan Bao, Xuancheng Ren, Xu Sun:
Incorporating Fine-grained Events in Stock Movement Prediction. - Fedor Borisyuk, Albert Gordo, Viswanath Sivakumar:
Rosetta: Large scale system for text detection and recognition in images. - Sergei Skorobogatov:
Hardware Security Evaluation of MAX 10 FPGA. - Mirko Trisolini, Hugh G. Lewis, Camilla Colombo:
Spacecraft design optimisation for demise and survivability. - Mert Albaba, Yildiray Yildiz:
Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory. - Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Graham W. Taylor, Sinead A. Williamson:
A Nonparametric Bayesian Model for Sparse Temporal Multigraphs. - Arish S, R. K. Sharma:
Run-Time-Reconfigurable Multi-Precision Floating-Point Matrix Multiplier Intellectual Property Core on FPGA. - Thomas E. Anderson, Marco Canini, Jongyul Kim, Dejan Kostic, Youngjin Kwon, Simon Peter, Waleed Reda, Henry N. Schuh, Emmett Witchel:
Assise: Performance and Availability via NVM Colocation in a Distributed File System. - Pulkit Nahata, Alessio La Bella, Riccardo Scattolini, Giancarlo Ferrari-Trecate:
Hierarchical Control in Islanded DC Microgrids with Flexible Structures. - Lovedeep Gondara, Ke Wang:
Differentially Private Survival Function Estimation. - Wojciech Mula, Daniel Lemire:
Base64 encoding and decoding at almost the speed of a memory copy. - Edgar Liberis, Nicholas D. Lane:
Neural networks on microcontrollers: saving memory at inference via operator reordering. - Krystian Radlak, Piotr Serwa, Michal Szczepankiewicz, Tim Jones:
Organization of ML-based product development as per ISO 26262. - Savitha Sam Abraham, Deepak P, Sowmya S. Sundaram:
Fairness in Clustering with Multiple Sensitive Attributes. - Steven Atkinson, Waad Subber, Liping Wang, Genghis Khan, Philippe Hawi, Roger G. Ghanem:
Data-driven discovery of free-form governing differential equations. - Shahaboddin Shamshirband, Masoud Hadipoor, Alireza Baghban, Amir Mosavi, József Bukor, Annamária R. Várkonyi-Kóczy:
Developing an ANFIS PSO Model to Estimate Mercury Emission in Combustion Flue Gases. - Manuel Wiesenfarth, Annika Reinke, Bennett A. Landman, Manuel Jorge Cardoso, Lena Maier-Hein, Annette Kopp-Schneider:
Methods and open-source toolkit for analyzing and visualizing challenge results. - Alejandro Allendes, Enrique Otárola, Abner J. Salgado:
A posteriori error estimates for the stationary Navier Stokes equations with Dirac measures. - Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa:
PipeMare: Asynchronous Pipeline Parallel DNN Training. - (Withdrawn) Prediction-based Resource Allocation using Bayesian Neural Networks and Minimum Cost and Maximum Flow Algorithm.
- Pramod Kaushik Mudrakarta, Shubhendu Trivedi, Risi Kondor:
Asymmetric Multiresolution Matrix Factorization. - Sijin Wang, Ruiping Wang, Ziwei Yao, Shiguang Shan, Xilin Chen:
Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval. - Ujué Etayo:
Spherical cap discrepancy of the Diamond ensemble. - Pierre-Louis Giscard, Stefano Pozza:
Lanczos-like algorithm for the time-ordered exponential: The *-inverse problem. - Zheng Chen, Nikolaos Pappas, Emil Björnson, Erik G. Larsson:
Optimal Control of Status Updates in a Multiple Access Channel with Stability Constraints. - Marie Ely Piceno, José Luis Balcázar:
Analysis of Co-Occurrence Patterns in Data through Modular and Clan Decompositions of Gaifman Graphs. - Mark Boss, Hendrik P. A. Lensch:
Single Image BRDF Parameter Estimation with a Conditional Adversarial Network. - Yusuf Yigit Pilavci, Nicolas Farrugia:
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging. - Qichen Li, Jiaxin Pei, Jianding Zhang, Bo Han:
SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction. - Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier:
How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages. - Byeonggeun Kim, Mingu Lee, Jinkyu Lee, Yeonseok Kim, Kyuwoong Hwang:
Query-by-example on-device keyword spotting. - Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian Process kernels from elementary mathematical expressions. - Yaza Wainakh, Moiz Rauf, Michael Pradel:
Evaluating Semantic Representations of Source Code. - Anamika Tiwari, Abheejeet Mohapatra, Soumya Ranjan Sahoo:
An Efficient Approach for obtaining Feasible solutions from SOCP formulation of ACOPF. - Sarah Miracle, Amanda Pascoe Streib, Noah Streib:
Iterated Decomposition of Biased Permutations Via New Bounds on the Spectral Gap of Markov Chains. - Pan Li, Alexander Tuzhilin:
DDTCDR: Deep Dual Transfer Cross Domain Recommendation. - Tigist Abera, Ferdinand Brasser, Lachlan J. Gunn, David Koisser, Ahmad-Reza Sadeghi:
SADAN: Scalable Adversary Detection in Autonomous Networks. - Myounggyu Won:
L-Platooning: A Protocol for Managing a Long Platoon with DSRC. - Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos J. Storkey:
Deep Kernel Transfer in Gaussian Processes for Few-shot Learning. - Abdallah Dib, Gaurav Bharaj, Junghyun Ahn, Cédric Thébault, Philippe-Henri Gosselin, Louis Chevallier:
Face Reflectance and Geometry Modeling via Differentiable Ray Tracing. - Viorica Sofronie-Stokkermans:
Parametric Systems: Verification and Synthesis. - Tim Lyon, Alwen Tiu, Rajeev Goré, Ranald Clouston:
Syntactic Interpolation for Tense Logics and Bi-Intuitionistic Logic via Nested Sequents. - Yiding Yu, Soung Chang Liew, Taotao Wang:
Non-Uniform Time-Step Deep Q-Network for Carrier-Sense Multiple Access in Heterogeneous Wireless Networks. - Aleksandar Stanic, Jürgen Schmidhuber:
R-SQAIR: Relational Sequential Attend, Infer, Repeat. - Zeman Shao, Runyu Mao, Fengqing Zhu:
Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation. - Sharmin Akther Purabi, Rayhan Rashed, Md. Mirajul Islam, Md. Nahiyan Uddin, Mahmuda Naznin, A. B. M. Alim Al Islam:
As You Are, So Shall You Move Your Head: A System-Level Analysis between Head Movements and Corresponding Traits and Emotions. - Asier Mujika, Felix Weissenberger, Angelika Steger:
Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses. - Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long:
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. - Tsai-Ho Sun, Chien-Hsun Lai, Sai-Keung Wong, Yu-Shuen Wang:
Adversarial Colorization Of Icons Based On Structure And Color Conditions. - Adam Andersson, Annika Lang, Andreas Petersson, Leander Schroer:
Finite element approximation of Lyapunov equations for the computation of quadratic functionals of SPDEs. - Hadi Abdullah, Muhammad Sajidur Rahman, Washington Garcia, Logan Blue, Kevin Warren, Anurag Swarnim Yadav, Tom Shrimpton, Patrick Traynor:
Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems. - Eleni Philippou, Sylvain Frey, Awais Rashid:
Contextualising and Aligning Security Metrics and Business Objectives: a GQM-based Methodology. - Chris Norval, Tristan Henderson:
Automating dynamic consent decisions for the processing of social media data in health research. - Florian Meier, Asier Mujika, Marcelo Matheus Gauy, Angelika Steger:
Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions. - Cailin O'Connor:
The Natural Selection of Conservative Science. - Jan Hazla, Yan Jin, Elchanan Mossel, Govind Ramnarayan:
A Geometric Model of Opinion Polarization. - Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann:
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models. - Masato Tamura, Tomokazu Murakami:
Augmented Hard Example Mining for Generalizable Person Re-Identification. - Bingnan Luo, Jie Shen, Shiyang Cheng, Yujiang Wang, Maja Pantic:
Shape Constrained Network for Eye Segmentation in the Wild. - Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, Kenny Smith:
The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents. - Ondrej Dusek, Filip Jurcícek:
Neural Generation for Czech: Data and Baselines. - Awni Y. Hannun, Brian Knott, Shubho Sengupta, Laurens van der Maaten:
Privacy-Preserving Contextual Bandits. - Blaz Skrlj, Benjamin Renoust:
Patterns of Multiplex Layer Entanglement across Real and Synthetic Networks. - Yulun Jiang, Lei Yu, Haijian Zhang, Zhou Liu:
Learning Cluster Structured Sparsity by Reweighting. - Soumen Kanrar, Soamdeep Singha:
Content Delivery Through Hybrid Architecture in Video on Demand System. - Faris B. Mismar, Ahmad AlAmmouri, Ahmed Alkhateeb, Jeffrey G. Andrews, Brian L. Evans:
Deep Learning Predictive Band Switching in Wireless Networks. - Abdulkadir Celik, Nasir Saeed, Basem Shihada, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
A Software-Defined Opto-Acoustic Network Architecture for Internet of Underwater Things. - Shadha Tabatabai, Ihab Mohammed, Ala I. Al-Fuqaha, Junaid Qadir:
Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud. - Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Deep Reinforcement Learning Based Power control for Wireless Multicast Systems. - Li-Chun Wang, Chuan-Chi Lai, Hong-Han Shuai, Hsin-Piao Lin, Chi-Yu Li, Teng-Hu Cheng, Chiun-Hsun Chen:
Communications and Networking Technologies for Intelligent Drone Cruisers. - Bing-Hong Liu, Van-Trung Pham, Ngoc-Tu Nguyen, Yi-Sheng Luo:
A Heuristic for Maximizing the Lifetime of Data Aggregation in Wireless Sensor Networks. - David Fiedler, Michal Cáp, Jan Nykl, Pavol Zilecký, Martin Schaefer:
Map Matching Algorithm for Large-scale Datasets. - Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. - Florian Geissler, Ralf Graefe:
Optimized sensor placement for dependable roadside infrastructures. - Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz:
Learning Analogy-Preserving Sentence Embeddings for Answer Selection. - En Li, Liekang Zeng, Zhi Zhou, Xu Chen:
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing. - Samar Elaraby, Sherif M. Abuelenin:
Fading Improves Connectivity in Vehicular Ad-hoc Networks. - Mengyao Liu, Dimitrios Kollias:
Aff-Wild Database and AffWildNet. - Andreas Mallas, Michalis Xenos:
Gamification of In-Classroom Diagram Design for Science Students. - Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman:
DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services. - Skanda Koppula, Lois Orosa, Abdullah Giray Yaglikçi, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu:
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM. - Sebastian Scholze, Fulya Feryal Horozal, Marie-Saphira Flug, Ana Teresa Correia:
Persistence and Big Data Analytics Architectures for Smart Connected Vehicles. - Sebastian Scholze, Rebecca Siafaka, Kevin Nagorny, Albert Zilverberg, Karl Krone:
Situation-aware Re-configuration of Production Processes. - Sagar Suhas Joshi, Panagiotis Tsiotras:
Relevant Region Exploration On General Cost-maps For Sampling-Based Motion Planning. - Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang:
Learning Nearly Decomposable Value Functions Via Communication Minimization. - Gustavo Neves, Romulo Cerqueira, Jan C. Albiez, Luciano Oliveira:
Rotation-invariant shipwreck recognition with forward-looking sonar. - Alvertos Benroumpi, Dimitrios Kollias:
AffWild Net and Aff-Wild Database. - Amir Dehsarvi, Stephen L. Smith:
Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson's Disease. - Julian Valentin:
B-Splines for Sparse Grids: Algorithms and Application to Higher-Dimensional Optimization. - Yinsong Wang, Shahin Shahrampour:
A General Scoring Rule for Randomized Kernel Approximation with Application to Canonical Correlation Analysis. - Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Lacki, Vahab S. Mirrokni:
Near-Optimal Massively Parallel Graph Connectivity. - Amanda Gentzel, Dan Garant, David D. Jensen:
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data. - Marcus Schaefer:
A Proof of Levi's Extension Lemma. - Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih:
Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. - Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Kumar Yogamani:
FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving. - Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. - Reto Achermann, Ashish Panwar, Abhishek Bhattacharjee, Timothy Roscoe, Jayneel Gandhi:
Mitosis: Transparently Self-Replicating Page-Tables for Large-Memory Machines. - Konstantinos Slavakis, Sinjini Banerjee:
Robust Hierarchical-Optimization RLS Against Sparse Outliers. - Manuel Camargo, Marlon Dumas, Oscar González Rojas:
Automated Discovery of Business Process Simulation Models from Event Logs. - Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn:
Zap Q-Learning With Nonlinear Function Approximation. - Robert Mieth, Jip Kim, Yury Dvorkin:
Risk- and Variance-Aware Electricity Pricing. - Amine M. Remita, Abdoulaye Baniré Diallo:
Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses. - Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks. - James R. Watson, A. John Woodill:
Anticipating Illegal Maritime Activities from Anomalous Multiscale Fleet Behaviors. - Mostafa Karimi, Gopalkrishna Veni, Yen-Yun Yu:
Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks. - Asif Imran, Tevfik Kosar:
Design Smell Analysis for Developing and Established Open Source Java Software. - Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan:
Extraction of Complex DNN Models: Real Threat or Boogeyman? - Yu Han, Shi Jin, Chao-Kai Wen, Xiaoli Ma:
Channel Estimation for Extremely Large-Scale Massive MIMO Systems. - Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer F. Rana, Lizhe Wang, Rajiv Ranjan:
Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey. - Morteza Karimzadeh, Luke S. Snyder, David S. Ebert:
Geovisual Analytics and Interactive Machine Learning for Situational Awareness. - Weiqi Zhang, Line A. Roald, Andrew A. Chien, John R. Birge, Victor M. Zavala:
Flexibility from Networks of Data Centers: A Market Clearing Formulation with Virtual Links. - Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao:
Landmarks-assisted Collaborative Deep Framework for Automatic 4D Facial Expression Recognition. - Dami Choi, Christopher J. Shallue, Zachary Nado, Jaehoon Lee, Chris J. Maddison, George E. Dahl:
On Empirical Comparisons of Optimizers for Deep Learning. - Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick J. Johnston, Clinton Fookes:
Neural Memory Plasticity for Anomaly Detection. - Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov:
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. - Qingle Meng, Huaian Diao, Qinghua Yu:
Structured condition number for multiple right-hand side linear systems with parameterized quasiseparable coefficient matrix. - Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie:
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. - Alexei Baevski, Steffen Schneider, Michael Auli:
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. - Kritaphat Songsri-in, Stefanos Zafeiriou:
Complement Face Forensic Detection and Localization with FacialLandmarks. - Katharina Kann:
Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge. - Shan Jia, Xin Li, Chuanbo Hu, Zhengquan Xu:
Spoofing and Anti-Spoofing with Wax Figure Faces. - Xiaoqiang Wang, Dabin Zheng, Yan Zhang:
Two classes of p-ary linear codes and their duals. - Zhaorui Li, Zhicong Huang, Chaochao Chen, Cheng Hong:
Quantification of the Leakage in Federated Learning. - Ryan C. Taylor, Xiaofan Liang, Manfred D. Laubichler, Geoffrey B. West, Christopher P. Kempes, Marion Dumas:
The Scalability, Efficiency and Complexity of Universities and Colleges: A New Lens for Assessing the Higher Educational System. - Yi Zhu, Jing Dong, Henry Lam:
Efficient Inference and Exploration for Reinforcement Learning. - Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou:
Analytical Performance Evaluation of Beamforming Under Transceivers Hardware Imperfections. - Qi Yao, Xiaojin Gong:
Saliency Guided Self-attention Network for Weakly-supervised Semantic Segmentation. - Ke M. Tran, Arianna Bisazza:
Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations. - Yuqing Zhu, Jianxun Liu:
ClassyTune: A Performance Auto-Tuner for Systems in the Cloud. - Xiaoke Shen, Ioannis Stamos:
Frustum VoxNet for 3D object detection from RGB-D or Depth images. - Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang:
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples. - Hessam Pirzadeh, Gonzalo Seco-Granados, Shilpa Rao, A. Lee Swindlehurst:
Spectral Efficiency of One-Bit Sigma-Delta Massive MIMO. - Chao Qian:
Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions. - Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang:
Deep Transfer Learning for Source Code Modeling. - Jason Ren, Russell Kunes, Finale Doshi-Velez:
Prediction Focused Topic Models via Vocab Selection. - Ahmed Bayoumy Zaki, Joshua Zhexue Huang, Kaishun Wu, Basem M. ElHalawany:
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems. - Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang:
Influence-Based Multi-Agent Exploration. - Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng:
On Robustness of Neural Ordinary Differential Equations. - Kendra M. L. Cooper, Hassan Khosravi:
Multilevel Visualisation of Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach. - Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim:
Combinational Class Activation Maps for Weakly Supervised Object Localization. - Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams:
RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. - Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. - Yasuhiro Watanabe, Hironori Washizaki, Kazunori Sakamoto, Daisuke Saito, Kiyoshi Honda, Naohiko Tsuda, Yoshiaki Fukazawa, Nobukazu Yoshioka:
Preliminary Systematic Literature Review of Machine Learning System Development Process. - Jiaqi Chen, Ye Guo, WenChuan Wu:
An optimal dispatch scheme for DSO and prosumers by implementing three-phase distribution locational marginal prices. - Mika Hämäläinen, Simon Hengchen:
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction. - Xuanwu Yue, Jiaxin Bai, Qinhan Liu, Yiyang Tang, Abishek Puri, Ke Li, Huamin Qu:
sPortfolio: Stratified Visual Analysis of Stock Portfolios. - Yao Xiao, Dan Meng, Cewu Lu, Chi-Keung Tang:
Template-Instance Loss for Offline Handwritten Chinese Character Recognition. - Aqeel Anwar, Arijit Raychowdhury:
Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning. - Jingjing Qian, Wei Jiang, Hao Luo, Hongyan Yu:
Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification. - Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. - Davide G. Cavezza, Dalal Alrajeh, András György:
Minimal Assumptions Refinement for GR(1) Specifications. - Seungmin Lee, Dongwan Kim, Namil Kim, Seong-Gyun Jeong:
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation. - Arnu Pretorius, Herman Kamper, Steve Kroon:
On the expected behaviour of noise regularised deep neural networks as Gaussian processes. - Greta Adamo, Chiara Ghidini, Chiara Di Francescomarino:
What's My Process Model Composed of? A Systematic Literature Review of Meta-Models in BPM. - Melanie Weber:
Neighborhood Growth Determines Geometric Priors for Relational Representation Learning. - Qiao-Le He, Zhaoxi Sun, Liming Zhao:
Model-based process design of a ternary protein separation using multi-step gradient ion-exchange SMB chromatography. - Shuai Yang, Wenqi Zhu, Yuesheng Zhu:
Residual Encoder-Decoder Network for Deep Subspace Clustering. - Yuan Jin, Lan Du, Longxiang Gao, Yong Xiang, Yunfeng Li, Ruohua Xu:
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data. - Lester James V. Miranda, Mark Steve Samson, Alfiero K. Orden II, Bianca S. Silmaro, Ram K. De Guzman III, Stephanie S. Sy:
Geomancer: An Open-Source Framework for Geospatial Feature Engineering. - Maura B. Paterson, Douglas R. Stinson:
On the equivalence of authentication codes and robust (2, 2)-threshold schemes. - Ikram Ullah, Naveed Ahmed Azam, Umar Hayat:
Efficient and Secure Substitution Box and Random Number Generators Over Mordell Elliptic Curves. - Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang:
Context-Gated Convolution. - Chao Xu, Howard H. Yang, Xijun Wang, Tony Q. S. Quek:
Optimizing Information Freshness in Computing enabled IoT Networks. - Olgica Nedic, Ivana Drvenica, Marcel Ausloos, Aleksandar Dekanski:
Efficiency in managing peer-review of scientific manuscripts - editors' perspective. - Anna Sepliarskaia, Julia Kiseleva, Maarten de Rijke:
Evaluating Disentangled Representations. - Daxin Nie, Jing Sun, Weihua Deng:
Numerical algorithm for the model describing anomalous diffusion in expanding media. - Ioannis Katsikarelis, Michael Lampis, Vangelis Th. Paschos:
Improved (In-)Approximability Bounds for d-Scattered Set. - Juliana Cesaro, Fábio Gagliardi Cozman:
Measuring Unfairness through Game-Theoretic Interpretability. - Ferkan Yilmaz:
McLeish Distribution: Performance of Digital Communications over Additive White McLeish Noise (AWMN) Channels. - Ayman Wagdy, Veronica Garcia-Hansen, Mohammed Elhenawy, Gillian Isoardi, Robin Drogemuller, Fatma Fathy:
Open-plan Glare Evaluator (OGE): A New Glare Prediction Model for Open-Plan Offices Using Machine Learning Algorithms. - Kamran Ali, Ilkin Isler, Charles E. Hughes:
Facial Expression Recognition Using Human to Animated-Character Expression Translation. - Kartikey Pant, Venkata Himakar Yanamandra, Alok Debnath, Radhika Mamidi:
SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text. - Peter Du, Zhe Huang, Tianqi Liu, Ke Xu, Qichao Gao, Hussein Sibai, Katherine Rose Driggs-Campbell, Sayan Mitra:
Online monitoring for safe pedestrian-vehicle interactions. - Akash Saravanan, Gurudutt Perichetla, K. S. Gayathri:
Facial Emotion Recognition using Convolutional Neural Networks. - Quang Minh Nguyen, Thai Binh Nguyen, Ngoc Phuong Pham, The-Loc Nguyen:
VAIS ASR: Building a conversational speech recognition system using language model combination. - Thai Binh Nguyen, Quang Minh Nguyen, Thu Hien Nguyen, Ngoc Phuong Pham, The-Loc Nguyen, Quoc Truong Do:
VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination. - Yijie Xu, Arushi Goel:
Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation. - Zvonimir Bujanovic, Zlatko Drmac:
New robust ScaLAPACK routine for computing the QR factorization with column pivoting. - Matthew Marge, Stephen Nogar, Cory J. Hayes, Stephanie M. Lukin, Jesse Bloecker, Eric Holder, Clare R. Voss:
A Research Platform for Multi-Robot Dialogue with Humans. - Nitish Kumar, Stelian Coros:
Trajectory optimization for a class of robots belonging to Constrained Collaborative Mobile Agents (CCMA) family. - Niklas Stoehr, Marc Brockschmidt, Jan Stuehmer, Emine Yilmaz:
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs. - Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. - Xingyi Liu, Keshab K. Parhi:
Molecular and DNA Artificial Neural Networks via Fractional Coding. - Shiri Chechik, Doron Mukhtar:
Reachability and Shortest Paths in the Broadcast CONGEST Model. - Dmitrii Avdiukhin, Grigory Yaroslavtsev, Samson Zhou:
"Bring Your Own Greedy"+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack. - Anat Bremler-Barr, Haim Levy, Zohar Yakhini:
IoT or NoT: Identifying IoT Devices in a ShortTime Scale. - Evan S. Gawlik, François Gay-Balmaz:
A Variational Finite Element Discretization of Compressible Flow. - AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash:
Interventional Experiment Design for Causal Structure Learning. - Sidak Pal Singh, Martin Jaggi:
Model Fusion via Optimal Transport. - Young Hun Jung, Marc Abeille, Ambuj Tewari:
Thompson Sampling in Non-Episodic Restless Bandits. - Prithviraj Dhar, Ankan Bansal, Carlos Domingo Castillo, Joshua Gleason, P. Jonathon Phillips, Rama Chellappa:
How are attributes expressed in face DCNNs? - Yonadav Shavit, William S. Moses:
Extracting Incentives from Black-Box Decisions. - Sergio Caucao, Ivan Yotov:
A Banach space mixed formulation for the unsteady Brinkman-Forchheimer equations. - Christopher A. Beattie, Serkan Gugercin, Volker Mehrmann:
Structure-preserving Interpolatory Model Reduction for Port-Hamiltonian Differential-Algebraic Systems. - Chao-Tsung Huang, Yu-Chun Ding, Huan-Ching Wang, Chi-Wen Weng, Kai-Ping Lin, Li-Wei Wang, Li-De Chen:
eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference. - (Withdrawn) Hardware/Software Codesign for Training/Testing Multiple Neural Networks on Multiple FPGAs.
- Can Yang, Shiying Pan, Runmin Li, Yu Liu, Lizhang Peng:
A Coding-free Software Framework of Developing Web Data Management Systems. - Grigory Yaroslavtsev, Samson Zhou:
Fast Fourier Sparsity Testing. - Dhrubasish Sarkar, Premananda Jana:
Analyzing User Activities Using Vector Space Model in Online Social Networks. - Amit Daniely, Elad Granot:
Generalization Bounds for Neural Networks via Approximate Description Length. - Dhawal Jethwani, François Le Gall, Sanjay Kumar Singh:
Quantum-Inspired Classical Algorithms for Singular Value Transformation. - Devraj Mandal, Shrisha Bharadwaj, Soma Biswas:
What happens when self-supervision meets Noisy Labels? - Yu Bing, Lei Zhang:
Global optimization-based dimer method for finding saddle points. - Zhenzhou Wang:
Slope Difference Distribution and Its Computer Vision Applications. - Navaneet Athreya, Vishnu Raj, Sheetal Kalyani:
Beyond 5G: Leveraging Cell Free TDD Massive MIMO using Cascaded Deep learning. - Evan S. Gawlik, François Gay-Balmaz:
A Conservative Finite Element Method for the Incompressible Euler Equations with Variable Density. - Jin-Yuan Wang, Yu Qiu, Sheng-Hong Lin, Jun-Bo Wang, Min Lin, Cheng Liu:
On the Secrecy Performance of Random VLC Networks with Imperfect CSI and Protected Zone. - Marcel Ausloos, Olgica Nedic, Aleksandar Dekanski:
Correlations between submission and acceptance of papers in peer review journals. - Marcel Ausloos, Olgica Nedic, Aleksandar Dekanski:
Seasonal Entropy, Diversity and Inequality Measures of Submitted and Accepted Papers Distributions In Peer-Reviewed Journals. - Yuta Sakai, Vincent Y. F. Tan:
Variable-Length Source Dispersions Differ under Maximum and Average Error Criteria. - Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri:
Granular Multimodal Attention Networks for Visual Dialog. - Xuanyi Dong, Yi Yang:
One-Shot Neural Architecture Search via Self-Evaluated Template Network. - Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu:
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. - Liupeng Wang, Yunqing Huang, Kai Jiang:
Error analysis of SAV finite element method to phase field crystal model. - Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen:
Powering Hidden Markov Model by Neural Network based Generative Models. - Wenhua Zhang, Licheng Jiao, Jia Liu:
Hierarchical Feature-Aware Tracking. - Ziqi Zhang, Yaya Shi, Jiutong Wei, Chunfeng Yuan, Bing Li, Weiming Hu:
VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning. - Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
The Impact of Popularity Bias on Fairness and Calibration in Recommendation. - Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding:
Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis. - Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. - Nof Abuzainab, Tugba Erpek, Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, Sharon J. Mackey, Mitesh P. Patel, Frank Panettieri, Muhammad A. Qureshi, Volkan Isler, Aylin Yener:
QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning. - Giuseppe Antonio Di Luna, Emmanuelle Anceaume, Leonardo Querzoni:
Byzantine Generalized Lattice Agreement. - Tobia Tesan, Pasquale Coscia, Lamberto Ballan:
A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata. - Xiaowei Zhu, Guanyu Feng, Marco Serafini, Xiaosong Ma, Jiping Yu, Lei Xie, Ashraf Aboulnaga, Wenguang Chen:
LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans. - Hanne Carlsson, Dimitrios Kollias:
Image Generation and Recognition (Emotions). - Petter Tunstad, Amin M. Khan, Phuong Hoai Ha:
HyperProv: Decentralized Resilient Data Provenance at the Edge with Blockchains. - Haider Qays Al-Shammari, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Resilient Service Embedding In IoT Networks. - Xia Yicheng, Dimitrios Kollias:
Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild. - Matthew Tang, Priyanka Gandhi, Md. Ahsanul Kabir, Christopher Zou, Jordyn Blakey, Xiao Luo:
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT. - Chao-Tsung Huang:
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference. - Micah Carroll, Rohin Shah, Mark K. Ho, Thomas L. Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca D. Dragan:
On the Utility of Learning about Humans for Human-AI Coordination. - Mehmet Fatih Aktas, Amir Behrouzi-Far, Emina Soljanin, Philip Whiting:
Load Balancing Performance in Distributed Storage with Regular Balanced Redundancy. - Bertie Vidgen, Taha Yasseri, Helen Z. Margetts:
Trajectories of Islamophobic hate amongst far right actors on Twitter. - Jefferson De Oliveira Silva, Igor Wiese, Daniel M. Germán, Christoph Treude, Marco Aurélio Gerosa, Igor Steinmacher:
Google Summer of Code: Student Motivations and Contributions. - Yihui Zuo, Mario Paolone, Fabrizio Sossan:
Effect of Voltage Source Converters with Electrochemical Storage Systems on Dynamics of Reduced-inertia Bulk Power Grids. - Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka:
The Role of Embedding Complexity in Domain-invariant Representations. - William Espinoza, Matthew Howard, Julia Lane, Pascal Van Hentenryck:
Shared E-scooters: Business, Pleasure, or Transit? - Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Deep Crowd-Flow Prediction in Built Environments. - Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue:
AdaWISH: Faster Discrete Integration via Adaptive Quantiles. - Ali Osman Kalayci, Gokhan M. Guvensen:
An Efficient Beam and Channel Acquisition via Sparsity Map and Joint Angle-Delay Power Profile Estimation for Wideband Massive MIMO Systems. - Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu:
Policy Poisoning in Batch Reinforcement Learning and Control. - Cihan Tepedelenlioglu:
A Large-Deviation Upperbound on Directed Last-Passage Percolation Growth Rate Based on Entropy of Direction Vector. - Christopher A. Choquette-Choo, David Sheldon, Jonny Proppe, John Alphonso-Gibbs, Harsha Gupta:
A multi-label, dual-output deep neural network for automated bug triaging. - Yasir J. Noori, C. H. De Groot:
Modelling Resistive and Phase Change Memory with Passive Selector Arrays - A Matlab Tool. - Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou:
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. - Benjamin Schweinhart, David Rodney, Jeremy K. Mason:
Statistical Topology of Bond Networks with Applications to Silica. - Florian Schäfer, Hongkai Zheng, Anima Anandkumar:
Implicit competitive regularization in GANs. - Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han:
Deep Probabilistic Kernels for Sample-Efficient Learning. - HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin:
Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction. - John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang:
Machine Learning for Prediction with Missing Dynamics. - Yuwei Wang, Yan Zheng, Yanqing Peng, Wei Zhang, Feifei Li:
Feature Detection and Attenuation in Embeddings. - Yifan Xu, Lu Dai, Udaikaran Singh, Kening Zhang, Zhuowen Tu:
Neural Program Synthesis By Self-Learning. - Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Rethinking Data Augmentation: Self-Supervision and Self-Distillation. - Yeonjong Shin:
Effects of Depth, Width, and Initialization: A Convergence Analysis of Layer-wise Training for Deep Linear Neural Networks. - Jonathan Lebensold, William L. Hamilton, Borja Balle, Doina Precup:
Actor Critic with Differentially Private Critic. - Valentin Richer, Dimitrios Kollias:
Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild. - Wen Zhang, Dongrui Wu:
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces. - Toufique Ahmed, Vincent J. Hellendoorn, Premkumar T. Devanbu:
Learning Lenient Parsing & Typing via Indirect Supervision. - Qingguo Hong, Johannes Kraus, Maria Lymbery, Fadi Philo:
Parameter-robust Uzawa-type iterative methods for double saddle point problems arising in Biot's consolidation and multiple-network poroelasticity models. - Pei Yang, Srinivas Varadharajan, Lucas A. Wilson, Don D. Smith II, John A. Lockman III, Vineet Gundecha, Quy Ta:
Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods. - Yuwei Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Xiaolong Xu, Shuai Chen:
A New Local Transformation Module for Few-shot Segmentation. - Toan Q. Nguyen, Julian Salazar:
Transformers without Tears: Improving the Normalization of Self-Attention. - Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng:
In Search of a Fast and Efficient Serverless DAG Engine. - Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu:
Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization. - Junxiang Chen, Kayhan Batmanghelich:
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement. - Fan Yang, Xiao Liu, Dongliang He, Chuang Gan, Jian Wang, Chao Li, Fu Li, Shilei Wen:
TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation. - Junjie Huang, Zheng Zhu, Guan Huang:
Multi-Stage HRNet: Multiple Stage High-Resolution Network for Human Pose Estimation. - Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. - Changfu Li, Chenrui Jin, Ratnesh Sharma:
Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation. - Xiang Li, Mingyang Wang, Congcong Wen, Lingjing Wang, Nan Zhou, Yi Fang:
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification. - Alireza Vahid, Shih-Chun Lin, I-Hsiang Wang:
Capacity Region of Erasure Broadcast Channels with Common Message and Feedback. - Shengluan Hou, Ruqian Lu:
Knowledge-guided Unsupervised Rhetorical Parsing for Text Summarization. - J. Chase Kew, Brian Ichter, Maryam Bandari, Tsang-Wei Edward Lee, Aleksandra Faust:
Neural Collision Clearance Estimator for Fast Robot Motion Planning. - Corey Lammie, Olga Krestinskaya, Alex Pappachen James, Mostafa Rahimi Azghadi:
Variation-aware Binarized Memristive Networks. - Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin:
Code Generation as a Dual Task of Code Summarization. - Kefan Dong, Yuping Luo, Tengyu Ma:
Bootstrapping the Expressivity with Model-based Planning. - Stanislav Fort, Surya Ganguli:
Emergent properties of the local geometry of neural loss landscapes. - Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia:
Characterizing Deep Learning Training Workloads on Alibaba-PAI. - Ali Hassani, Amir Iranmanesh, Mahdi Eftekhari, Abbas Salemi:
DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic Clustering. - Jonathan Chappelon:
Symmetric binary Steinhaus triangles and parity-regular Steinhaus graphs. - Riikka Huusari, Cécile Capponi, Paul Villoutreix, Hachem Kadri:
Kernel transfer over multiple views for missing data completion. - Yongzhe Zhang, Ariful Azad, Zhenjiang Hu:
FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence. - Shakiba Kheradmand, Parvaneh Saeedi, Jason Au, Jon Havelock:
Preimplantation Blastomere Boundary Identification in HMC Microscopic Images of Early Stage Human Embryos. - Gonzalo de Diego, Marc Gerritsma, Artur Palha:
A conservative, physically compatible discretization for turbidity currents. - Nihat Ay, Daniel Polani, Nathaniel Virgo:
Information Decomposition based on Cooperative Game Theory. - Mohammed Sabry, Amr M. A. Khalifa:
On the Reduction of Variance and Overestimation of Deep Q-Learning. - Jinshi Yu, Weijun Sun, Yuning Qiu, Shengli Xie:
An Efficient Tensor Completion Method via New Latent Nuclear Norm. - Longguang Li, Stefan M. Moser, Ligong Wang, Michèle A. Wigger:
On the Capacity of MIMO Optical Wireless Channels. - Qiang Sun, Liting Wang, Maohui Li, Longtao Zhang, Yuxiang Yang:
A unified framework of predicting binary interestingness of images based on discriminant correlation analysis and multiple kernel learning. - Mohammad Keshavarzi, Woojin Ko, Allen Y. Yang, Luisa Caldas:
Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction. - Lifu Wang, Bo Shen, Ning Zhao:
On the Convergence of Perturbed Distributed Asynchronous Stochastic Gradient Descent to Second Order Stationary Points in Non-convex Optimization. - Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, Qiang Yang:
Federated Transfer Reinforcement Learning for Autonomous Driving. - Nils Vortmeier, Thomas Zeume:
Dynamic Complexity of Parity Exists Queries. - Kai Uwe Barthel, Nico Hezel, Konstantin Schall, Klaus Jung:
Real-Time Visual Navigation in Huge Image Sets Using Similarity Graphs. - Rasmus R. Paulsen, Kristine Aavild Juhl, Thilde Marie Haspang, Thomas Folkmann Hansen, Melanie Ganz, Gudmundur Einarsson:
Multi-view consensus CNN for 3D facial landmark placement. - Alexis Stoven-Dubois, Kuntima Kiala Miguel, Aziz Dziri, Bertrand Leroy, Roland Chapuis:
A Collaborative Framework for High-Definition Mapping. - Hannes Fassold, Ridouane Ghermi:
OmniTrack: Real-time detection and tracking of objects, text and logos in video. - Paulin Fournier, Nathan Lhote:
Equivalence kernels of sequential functions and sequential observation synthesis. - Ying Zheng, Hongxun Yao, Xiaoshuai Sun:
Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning. - Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic:
Imitating by generating: deep generative models for imitation of interactive tasks. - Andrzej Szepietowski:
Negative closed walks in signed graphs: A note. - Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. - Ying Zheng, Hongxun Yao, Xiaoshuai Sun, Shengping Zhang, Sicheng Zhao, Fatih Porikli:
Sketch-Specific Data Augmentation for Freehand Sketch Recognition. - Luigi Barletti, Luigi Brugnano, Yifa Tang, Beibei Zhu:
Spectrally accurate space-time solution of Manakov systems. - Vikas Agaradahalli Gurumurthy:
Encoder-Decoder based CNN and Fully Connected CRFs for Remote Sensed Image Segmentation. - Huan Peng, Yuan Zhang, Yongbei Yang, Jinyao Yan:
A Hybrid Control Scheme for Adaptive Live Streaming. - Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu:
Eavesdrop the Composition Proportion of Training Labels in Federated Learning. - Xizhe Zhang, Yuyan Zhu, Yongkang Zhao:
Altering nodes types in controlling complex networks. - Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
STANCY: Stance Classification Based on Consistency Cues. - Xizhe Zhang, Qian Li:
Altering control modes of complex networks based on edge removal. - Julian Zimmert, Yevgeny Seldin:
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays. - Martin Thümmel, Joachim Denzler:
Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection. - Matthias Hoelzel, Richard Wilke:
On the Union Closed Fragment of Existential Second-Order Logic and Logics with Team Semantics. - Atgeirr Flø Rasmussen, Tor Harald Sandve, Kai Bao, Andreas Lauser, Joakim Hove, Bård Skaflestad, Robert Klöfkorn, Markus Blatt, Alf Birger Rustad, Ove Sævareid, Knut-Andreas Lie, Andreas Thune:
The Open Porous Media Flow Reservoir Simulator. - Lukas Lange, Michael A. Hedderich, Dietrich Klakow:
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. - Maryam Hasani-Shoreh, Frank Neumann:
On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization. - Giulio Reina, Antonio Leanza, Annalisa Milella, Arcangelo Messina:
Mind the ground: A Power Spectral Density-based estimator for all-terrain rovers. - Giorgio F. Signorini:
Open Source and Sustainability: the Role of Universities. - Joshua Fadaie:
The State of Modeling, Simulation, and Data Utilization within Industry: An Autonomous Vehicles Perspective. - Ayça Kolukisa Tarhan, Vahid Garousi, Oktay Türetken, Mehmet Söylemez, Sonia Garossi:
Maturity assessment and maturity models in healthcare: A multivocal literature review. - Fangli Xu, Lingfei Wu, K. P. Thai, Carol Hsu, Wei Wang, Richard Jiarui Tong:
MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics. - Tomasz Korbak, Julian Zubek, Lukasz Kucinski, Piotr Milos, Joanna Raczaszek-Leonardi:
Developmentally motivated emergence of compositional communication via template transfer. - Felipe González, Claudia López, Carlos Castro:
Development of Computational Thinking in High School Students: A Case Study in Chile. - Simone Rusconi, Denys Dutykh, Arghir Zarnescu, Dmitri Sokolovski, Elena V. Akhmatskaya:
An optimal scaling to computationally tractable dimensionless models: Study of latex particles morphology formation. - Daniela Genius:
Scalability of TTool's AMS extensions: a case study. - Sofia Terzi, Konstantinos Votis, Dimitrios Tzovaras, Ioannis Stamelos, Kelly Cooper:
Blockchain 3.0 Smart Contracts in E-Government 3.0 Applications. - Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon:
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. - Giorgos Karvounas, Iason Oikonomidis, Antonis A. Argyros:
ReActNet: Temporal Localization of Repetitive Activities in Real-World Videos. - Thomas Ferrère, Thomas A. Henzinger, Bernhard Kragl:
Monitoring Event Frequencies. - Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. - Asif Imran, Tevfik Kosar:
Software Sustainability: A Systematic Literature Review and Comprehensive Analysis. - Muhammad Aslam Jarwar, Sajjad Ali, Ilyoung Chong:
Microservices based Linked Data Quality Model for Buildings Energy Management Services. - T. A. Santos, E. P. Magalhaes, D. R. Fiorio, Erivelton G. Nepomuceno:
On the reliability of computational chaos-based cryptography for information exchange. - Priscila F. S. Guedes, Erivelton G. Nepomuceno:
Some remarks on the performance of Matlab, Python and Octave in simulating dynamical systems. - Walid R. Ghanem, Vahid Jamali, Yan Sun, Robert Schober:
Resource Allocation for Multi-User Downlink MISO OFDMA-URLLC Systems. - Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira:
More Powerful Selective Kernel Tests for Feature Selection. - Grace A. Lewis, Stephany Bellomo, April Galyardt:
Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector. - Julia Guerrero-Viu, Clara Fernandez-Labrador, Cédric Demonceaux, José Jesús Guerrero:
What's in my Room? Object Recognition on Indoor Panoramic Images. - Javier Sánchez-Monedero, Lina Dencik, Lilian Edwards:
What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems. - Nai-Hui Chia, András Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao Wang:
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. - Melika Payvand, Mohammed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre O. Neftci:
Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays. - Ligia Vizeu Barrozo, Michel Fornaciali, Carmen Diva Saldiva de André, Guilherme Augusto Zimeo Morais, Giselle Mansur, William Cabral-Miranda, João Ricardo Sato, Edson Amaro Júnior:
GeoSES - um Índice Socioeconômico para Estudos de Saúde no Brasil. - Alessio Netti, Micha Mueller, Carla Guillén, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz:
DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems. - Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network for Occluded Pedestrian Detection. - Uli Fahrenberg, Christian Johansen, Georg Struth, Ratan Bahadur Thapa:
Generating Posets Beyond N. - Paolo Ferragina, Giorgio Vinciguerra:
The PGM-index: a multicriteria, compressed and learned approach to data indexing. - Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe:
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment. - Qilong Feng, Shaohua Li, Xiangzhong Meng, Jianxin Wang:
An Improved FPT Algorithm for the Flip Distance Problem. - Ofir Zafrir, Guy Boudoukh, Peter Izsak, Moshe Wasserblat:
Q8BERT: Quantized 8Bit BERT. - Li Wang, Zixun Sun, Wentao Yao, Hui Zhan, Chengwei Zhu:
Unsupervised Multi-stream Highlight detection for the Game "Honor of Kings". - Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri:
Comment on "AndrODet: An adaptive Android obfuscation detector". - Xuefeng Wen:
On Axiomatization of Lewis' Conditional Logics. - Carolina Scarton, Mikel L. Forcada, Miquel Esplà-Gomis, Lucia Specia:
Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality. - Felipe González, Yihan Yu, Andrea Figueroa, Claudia López, Cecilia R. Aragon:
Global Reactions to the Cambridge Analytica Scandal: An Inter-Language Social Media Study. - Godfred Yaw Koi-Akrofi, Eleanor Afful, Henry Akwetey Matey:
I.T. Project Success: Practical Frameworks based on key Project Control Variables. - Godfred Yaw Koi-Akrofi, Joyce Koi-Akrofi, Henry Akwetey Matey:
Understanding The Characteristics, Benefits And Challenges Of Agile IT Project Management: A Literature Based Perspective. - Ali Ghofrani, Rahil Mahdian Toroghi, Sayed Mojtaba Tabatabaie:
ICPS-net: An End-to-End RGB-based Indoor Camera Positioning System using deep convolutional neural networks. - Qingqing Wu, Rui Zhang:
Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT under QoS Constraints. - Jiaming Song, Stefano Ermon:
Understanding the Limitations of Variational Mutual Information Estimators. - Andrea Celli, Alberto Marchesi, Tommaso Bianchi, Nicola Gatti:
Learning to Correlate in Multi-Player General-Sum Sequential Games. - Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin:
Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. - Martin Monperrus, Simon Urli, Thomas Durieux, Matias Martinez, Benoit Baudry, Lionel Seinturier:
Repairnator patches programs automatically. - Christian Lins, Björn Friedrich, Andreas Hein, Sebastian J. F. Fudickar:
A modified Genetic Algorithm for continuous estimation of CPR quality parameters from wrist-worn inertial sensor data. - Shuai Li, Wanqing Li, Chris Cook, Yanbo Gao, Ce Zhu:
Deep Independently Recurrent Neural Network (IndRNN). - David Stutz, Matthias Hein, Bernt Schiele:
Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training. - Edgar Kaziakhmedov, Klim Kireev, Grigorii Melnikov, Mikhail Pautov, Aleksandr Petiushko:
Real-world attack on MTCNN face detection system. - Yannis M. Assael, Thea Sommerschield, Jonathan Prag:
Restoring ancient text using deep learning: a case study on Greek epigraphy. - Dinesh C. Verma, Seraphin B. Calo:
Using AI/ML to gain situational understanding from passive network observations. - Uddipana Dowerah, Srinivasan Krishnaswamy:
Homomorphic Encryption based on Hidden Subspace Membership. - Apoorva Joshi, Levi Lloyd, Paul Westin, Srini Seethapathy:
Using Lexical Features for Malicious URL Detection - A Machine Learning Approach. - Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu:
Distribution-Aware Coordinate Representation for Human Pose Estimation. - Jonas Schmidt, Thomas Schwentick, Nils Vortmeier, Thomas Zeume, Ioannis Kokkinis:
Dynamic Complexity Meets Parameterised Algorithms. - Moustafa Zein, Aboul Ella Hassanien, Ammar Adl, Adam Slowik:
Monkey Optimization System with Active Membranes: A New Meta-heuristic Optimization System. - Jan Kaiser, Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta:
Probabilistic Circuits for Autonomous Learning: A simulation study. - Peter Izsak, Shira Guskin, Moshe Wasserblat:
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models. - Florian Jacob, Jan Grashöfer, Hannes Hartenstein:
A Glimpse of the Matrix (Extended Version): Scalability Issues of a New Message-Oriented Data Synchronization Middleware. - Fuyuan Zhang, Sankalan Pal Chowdhury, Maria Christakis:
DeepSearch: Simple and Effective Blackbox Fuzzing of Deep Neural Networks. - Gamal Sallam, Zizhan Zheng, Bo Ji:
Placement and Allocation of Virtual Network Functions: Multi-dimensional Case. - Yu-Hang Tang, Oguz Selvitopi, Doru Popovici, Aydin Buluç:
A High-Throughput Solver for Marginalized Graph Kernels on GPU. - Thanakorn Khamvilai, Louis Sutter, Eric Feron, Philippe Baufreton, François Neumann:
Decentralized On-line Task Reallocation on Parallel Computing Architectures with Safety-Critical Applications. - Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri:
Dynamic Attention Networks for Task Oriented Grounding. - Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma:
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution. - Henry Lam, Fengpei Li, Siddharth Prusty:
Robust Importance Weighting for Covariate Shift. - Mohammad Javad Khodaei, Mohammad Hadi Balaghi Inaloo, Amin Mehrvarz, Nader Jalili:
An Adaptive Neuro-fuzzy Strategy in Closed-loop Control of Anesthesia. - J. Scott McCarley:
Pruning a BERT-based Question Answering Model. - Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski:
Thresholding Bandit Problem with Both Duels and Pulls. - Sushan Konar:
The Sounds of Music : Science of Musical Scales III - Indian Classical. - Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh:
SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning. - Colin C. Ife, Toby Davies, Steven J. Murdoch, Gianluca Stringhini:
Bridging Information Security and Environmental Criminology Research to Better Mitigate Cybercrime. - Georgios Birmpas, Evangelos Markakis, Guido Schäfer:
Cost Sharing over Combinatorial Domains: Complement-Free Cost Functions and Beyond. - Qian Yu, Chaofeng Wang, Barbaros Cetiner, Stella X. Yu, Frank McKenna, Ertugrul Taciroglu, Kincho H. Law:
Building Information Modeling and Classification by Visual Learning At A City Scale. - Zachary Kaden, Teven Le Scao, Raphaël Olivier:
In-training Matrix Factorization for Parameter-frugal Neural Machine Translation. - Jonatan Ostrometzky, Konstantin Berestizshevsky, Andrey Bernstein, Gil Zussman:
Physics-Informed Deep Neural Network Method for Limited Observability State Estimation. - Yun Fei, Christopher Batty, Eitan Grinspun:
Addressing Troubles with Double Bubbles: Convergence and Stability at Multi-Bubble Junctions. - Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy:
BoTorch: Programmable Bayesian Optimization in PyTorch. - Xibai Lou, Yang Yang, Changhyun Choi:
Learning to Generate 6-DoF Grasp Poses with Reachability Awareness. - Jigar Doshi, Dominic Garcia, Cliff Massey, Pablo Llueca, Nicolas Borensztein, Michael Baird, Matthew Cook, Devaki Raj:
FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video. - Sourav Dutta:
Mapping Supervised Bilingual Word Embeddings from English to low-resource languages. - Chris Taylor, Colin Luzzi, Cameron Nowzari:
On the Effects of Collision Avoidance on Emergent Swarm Behavior. - Matan Rusanovsky, Re'em Harel, Lee-or Alon, Idan Mosseri, Harel Levin, Gal Oren:
BACKUS: Comprehensive High-Performance Research Software Engineering Approach for Simulations in Supercomputing Systems. - Emmanuel Esposito, Thomas Mueller Graf, Sebastiano Vigna:
RecSplit: Minimal Perfect Hashing via Recursive Splitting. - Wei Zhu, Ingrid Daubechies:
Constructing curvelet-like bases and low-redundancy frames. - Paavo Parmas, Masashi Sugiyama:
A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme. - Anupriya Jha, Dinabandhu Pradhan, S. Banerjee:
Algorithm and hardness results on neighborhood total domination in graphs. - Haonan Peng, Xingjian Yang, Yun-Hsuan Su, Blake Hannaford:
Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position. - Shuangjie Xu, Feng Xu, Yu Cheng, Pan Zhou:
Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee. - Bairavi Venkatesh, Tosha Shah, Antong Chen, Soheil Ghafurian:
Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks. - Ekaterina Arkhangelskaia, Sourav Dutta:
Whatcha lookin' at? DeepLIFTing BERT's Attention in Question Answering. - Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang:
Graph Clustering in All Parameter Regimes. - Sebastiano Vigna:
It is high time we let go of the Mersenne Twister. - Joseph Z. Xu, Wenhan Lu, Zebo Li, Pranav Khaitan, Valeriya Zaytseva:
Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks. - Nikhil Das, Michael C. Yip:
Forward Kinematics Kernel for Improved Proxy Collision Checking. - Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo, Andrea Lodi, Sriram Sankaranarayanan:
Nash Games Among Stackelberg Leaders. - Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo:
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare. - Ali Mirzaeian, Houman Homayoun, Avesta Sasan:
TCD-NPE: A Re-configurable and Efficient Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs. - Giovanni Miraglia, Loyd R. Hook:
A Feedback Motion Plan for Vehicles with Bounded Curvature Constraints. - Yushan Li, Jianping He, Cailian Chen, Xinping Guan:
Learning-based Intelligent Attack against Mobile Robots with Obstacle-avoidance. - Valeri A. Ugrinovskii, Matthew R. James:
Active versus Passive Coherent Equalization of Passive Linear Quantum Systems. - Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters:
Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder. - Rodrigo R. M. de Alencar, Lukas T. N. Landau:
Continuous Phase Modulation With Faster-than-Nyquist Signaling for Channels With 1-bit Quantization and Oversampling at the Receiver. - Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong:
State of Compact Architecture Search For Deep Neural Networks. - Vasil Kolev, Todor Cooklev, Fritz Keinert:
Matrix Spectral Factorization for SA4 Multiwavelet. - Qian (Guenevere) Chen, Sheikh Rabiul Islam, Henry Haswell, Robert A. Bridges:
Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection. - Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth:
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. - Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun:
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style. - Hareshram Natarajan, Gustaaf B. Jacobs:
An explicit semi-Lagrangian, spectral method for solution of Lagrangian transport equations in Eulerian-Lagrangian formulations. - Kenneth Duru, Leonhard Rannabauer, Alice-Agnes Gabriel, Gunilla Kreiss:
A stable discontinuous Galerkin method for the perfectly matched layer for elastodynamics in first order form. - Sean P. Carney, Björn Engquist:
Numerical multiscale methods and effective boundary conditions. - Benjamin Adams:
Spatial Data Science: Closing the human-spatial computing-environment loop. - Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma:
Reinforcement learning with spiking coagents. - Xiaoyun Hou, Jie Ling, Dongming Wang:
Performance of High Mobility MIMO Communications with Doppler Diversity. - Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo:
Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction. - Mathew Darling, Benjamin Adams, Caroline Orchiston, Thomas Wilson, Brendon Bradley:
Understanding population fluctuations through volunteered geographic information and novel indicators: The experience of Rakiura, Stewart Island, New Zealand. - Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang:
DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage. - Kui Cai, Yeow Meng Chee, Ryan Gabrys, Han Mao Kiah, Tuan Thanh Nguyen:
Optimal Codes Correcting a Single Indel / Edit for DNA-Based Data Storage. - Yao Liu, Pierre-Luc Bacon, Emma Brunskill:
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling. - Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles:
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. - Lin Gao, Ling-Xiao Zhang, Hsien-Yu Meng, Yi-Hui Ren, Yu-Kun Lai, Leif Kobbelt:
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models. - Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox:
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. - Takashi Matsubara:
Target-Oriented Deformation of Visual-Semantic Embedding Space. - Aditya Ramamoorthy, Li Tang:
Numerically stable coded matrix computations via circulant and rotation matrix embeddings. - Yujia Jin, Aaron Sidford:
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG. - Chelsea Sidrane, Dylan J. Fitzpatrick, Andrew Annex, Diane O'Donoghue, Yarin Gal, Piotr Bilinski:
Machine Learning for Generalizable Prediction of Flood Susceptibility. - Shin-Ichi Ito, Takeru Matsuda, Yuto Miyatake:
Adjoint-based exact Hessian-vector multiplication using symplectic Runge-Kutta methods. - Kosuke Nakano, Tomoya Kemmochi, Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang:
Modified Strang splitting for semilinear parabolic problems. - Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan:
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds. - Zhuoyuan Song, Kamran Mohseni:
Concurrent Flow-Based Localization and Mapping in Time-Invariant Flow Fields. - Bingcong Li, Georgios B. Giannakis:
Adaptive Step Sizes in Variance Reduction via Regularization. - Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Björn Stenger, Yu Hirate:
Learning Classifiers on Positive and Unlabeled Data with Policy Gradient. - Jasper S. Wijnands, Jason Thompson, Kerry A. Nice, Gideon D. P. A. Aschwanden, Mark Stevenson:
Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks. - Xuewei Ma, Geng Qin, Zhiyang Qiu, Mingxin Zheng, Zhe Wang:
RiWalk: Fast Structural Node Embedding via Role Identification. - Zissis Poulos, Ali Nouri, Andreas Moshovos:
Training CNNs faster with Dynamic Input and Kernel Downsampling. - Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano, Shinsaku Kiyomoto:
Detecting Machine-Translated Text using Back Translation. - Dong Quan Vu, Patrick Loiseau, Alonso Silva:
Approximate Equilibria in Non-constant-sum Colonel Blotto and Lottery Blotto Games with Large Numbers of Battlefields. - Francesco Zola, Maria Eguimendia, Jan Lukas Bruse, Raul Orduna Urrutia:
Cascading Machine Learning to Attack Bitcoin Anonymity. - Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen:
Compacting, Picking and Growing for Unforgetting Continual Learning. - Nir Douer, Meirav Redlich, Joachim Meyer:
Objective and Subjective Responsibility of a Control-Room Worker. - Jing Fu, Bill Moran:
Energy-Efficient Job-Assignment Policy with Asymptotically Guaranteed Performance Deviation. - Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang:
Probabilistic Time of Arrival Localization. - Yanyan Zou, Wei Lu:
Text2Math: End-to-end Parsing Text into Math Expressions. - Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen, Wen-Cheng Chen, Chu-Song Chen:
IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector. - Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell:
On Generalized LDPC Codes for 5G Ultra Reliable Communication. - Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun:
Aligning Cross-Lingual Entities with Multi-Aspect Information. - Tim Lyon:
On Deriving Nested Calculi for Intuitionistic Logics from Semantic Systems. - Pegah Barkhordari, Roberto Galeazzi, Alejandro de Miguel Tejada, Ilmar Ferreira Santos:
Identification of Behavioural Models for Railway Turnouts Monitoring. - Xiaoli Liu, Jianqin Yin, Jin Tang, Zhicheng Zhang:
Trajectorylet-Net: a novel framework for pose prediction based on trajectorylet descriptors. - Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan:
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. - Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy R. McIntosh:
MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers. - Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski:
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. - Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso:
FacTweet: Profiling Fake News Twitter Accounts. - Salvatore Citraro, Giulio Rossetti:
Eva: Attribute-Aware Network Segmentation. - Ronald Cools, Frances Y. Kuo, Dirk Nuyens, Ian H. Sloan:
Lattice algorithms for multivariate approximation in periodic spaces with general weight parameters. - Ronald Cools, Frances Y. Kuo, Dirk Nuyens, Ian H. Sloan:
Fast component-by-component construction of lattice algorithms for multivariate approximation with POD and SPOD weights. - Qing Zhao, Bin Luo, Yun Zhang:
Stereo-based Multi-motion Visual Odometry for Mobile Robots. - Hendrik Richter:
Analyzing symmetry and symmetry breaking by computational aesthetic measures. - Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao:
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. - Mingjie Wu, Yongfei Zhang, Tianyu Zhang, Wenqi Zhang:
Background Segmentation for Vehicle Re-Identification. - (Withdrawn) An Active Network-Based Open Framework for IoT.
- Arpan Garai, Samit Biswas, Sekhar Mandal, Bidyut B. Chaudhuri:
A Method to Generate Synthetically Warped Document Image. - Niki Pfeifer:
Probability Logic. - Eunah Jung, Nan Yang, Daniel Cremers:
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light. - Guillaume Escamocher, Barry O'Sullivan:
Solving Logic Grid Puzzles with an Algorithm that Imitates Human Behavior. - Diana Berbecaru, Antonio Lioy:
Towards Simplifying PKI Implementation: Client-Server based Validation of Public Key Certificates. - Kangquan Li, Sihem Mesnager, Longjiang Qu:
Further study of 2-to-1 mappings over F2n. - Tim Lyon:
Syntactic Cut-Elimination for Intuitionistic Fuzzy Logic via Linear Nested Sequents. - Povilas Daniusis, Shubham Juneja, Lukas Valatka, Linas Petkevicius:
Topological Navigation Graph. - Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool:
AI Benchmark: All About Deep Learning on Smartphones in 2019. - Bushra Ramzan, Imran Sarwar Bajwa, Noreen Jamil, Farhaan Mirza:
An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning. - Syed M. A. H. Jafri, Hasan Hassan, Ahmed Hemani, Onur Mutlu:
Refresh Triggered Computation: Improving the Energy Efficiency of Convolutional Neural Network Accelerators. - Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss, Efstratios Gavves:
SafeCritic: Collision-Aware Trajectory Prediction. - Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
Modern Multicore CPUs are not Energy Proportional: Opportunity for Bi-objective Optimization for Performance and Energy. - Rowel Gündlach, Jaap-Henk Hoepman, Remco van der Hofstad, Tommy Koens, Stijn Meijer:
Hydra: A Multiple Blockchain Protocol for Improving Transaction Throughput. - Dario Dotti, Mirela Popa, Stylianos Asteriadis:
Being the center of attention: A Person-Context CNN framework for Personality Recognition. - Lisa Hug, Stefan Kollmannsberger, Zohar Yosibash, Ernst Rank:
A 3D benchmark problem for crack propagation in brittle fracture. - Xinjiang Xia, Pengcheng Zhu, Jiamin Li, Dongming Wang, Yuanxue Xin, Xiaohu You:
Joint Sparse Beamforming and Power Control for Large-scale DAS with Network Assistant Full Duplex. - Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
Seeing and Hearing Egocentric Actions: How Much Can We Learn? - Asad Ahmed, Pratham Tangri, Anirban Panda, Dhruv Ramani, Samarjit Karmakar:
VFNet: A Convolutional Architecture for Accent Classification. - César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio Manuel López Peña:
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. - Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet, Benoît Favre:
Robust Semantic Parsing with Adversarial Learning for Domain Generalization. - Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu:
NumNet: Machine Reading Comprehension with Numerical Reasoning. - Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo:
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. - Junjie Yin, Zixun Chen, Kelai Zhou, Chongyuan Yu:
A Deep Learning Based Chatbot for Campus Psychological Therapy. - Tianxing Wu, Arijit Khan, Huan Gao, Cheng Li:
Efficiently Embedding Dynamic Knowledge Graphs. - Tiffany J. Callahan, Harrison Pielke-Lombardo, Ignacio J. Tripodi, Lawrence E. Hunter:
Knowledge-based Biomedical Data Science 2019. - Jin Zhang, Jingyue Li:
Testing and verification of neural-network-based safety-critical control software: A systematic literature review. - Saptaparni Kumar, Jennifer L. Welch:
Byzantine-Tolerant Register in a System with Continuous Churn. - Kenton Murray, Jeffery Kinnison, Toan Q. Nguyen, Walter J. Scheirer, David Chiang:
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation. - Rina Panigrahy:
How does the Mind store Information? - Bo-Hsiang Tseng, Pawel Budzianowski, Yen-Chen Wu, Milica Gasic:
Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation. - Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh:
Distilled embedding: non-linear embedding factorization using knowledge distillation. - Hamid Reza Zohouri, Satoshi Matsuoka:
The Memory Controller Wall: Benchmarking the Intel FPGA SDK for OpenCL Memory Interface. - Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li:
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints. - Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
Causal Games and Causal Nash Equilibrium. - Aliasgar Haji, Priyam Shah, Srinivas Bijoor:
Self Driving RC Car using Behavioral Cloning. - Shizhe Chen, Yida Zhao, Yuqing Song, Qin Jin, Qi Wu:
Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019. - Luis Polanco, Jose A. Perea:
Adaptive template systems: Data-driven feature selection for learning with persistence diagrams. - Song Fang, Quanyan Zhu:
Generic Bounds on the Maximum Deviations in Sequential Prediction: An Information-Theoretic Analysis. - Duy-Tin Vo, Richard Khoury:
Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN. - Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez:
Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks. - Duygu Ataman, Orhan Firat, Mattia Antonino Di Gangi, Marcello Federico, Alexandra Birch:
On the Importance of Word Boundaries in Character-level Neural Machine Translation. - Zijian Li, Ruichu Cai, Kok-Soon Chai, Hong Wei Ng, Hoang Dung Vu, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang:
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. - Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Çaglar Gülçehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell:
Stabilizing Transformers for Reinforcement Learning. - Renjie Jin, Yiran Cao, Yu Jiang, Jinquan Luo:
Some New Classes of Entanglement-assisted Quantum MDS Codes from generalized Reed-Solomon Codes. - Rémi Abgrall, Élise Le Mélédo, Philipp Öffner:
General polytopial H(div) conformal finite elements and their discretisation spaces. - Janghoon Cho, Sungrack Yun, Hyoungwoo Park, Jungyun Eum, Kyuwoong Hwang:
Acoustic Scene Classification Based on a Large-margin Factorized CNN. - Yeshasvi Tirupachuri, Gabriele Nava, Lorenzo Rapetti, Claudia Latella, Daniele Pucci:
Trajectory Advancement for Robot Stand-up with Human Assistance. - Udesh Gunarathna, Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Renata Borovica-Gajic:
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories. - Caleb Hoyne, S. Karthik Mukkavilli, David Meger:
Deep learning for Aerosol Forecasting. - Hyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang:
Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning. - Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang:
Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. - Giovanni Miraglia, Loyd R. Hook:
Feedback Motion Plan Verification for Vehicles with Bounded Curvature Constraints. - Dinesh C. Verma, Seraphin B. Calo, Shonda Witherspoon, Elisa Bertino, Amani Abu Jabal, Ananthram Swami, Greg Cirincione, Simon Julier, Graham White, Geeth de Mel, Gavin Pearson:
Federated Learning for Coalition Operations. - Carlo Condo, Valerio Bioglio, Hartmut Hafermann, Ingmar Land:
Practical Product Code Construction of Polar Codes. - Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi:
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. - Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li:
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis. - (Withdrawn) Improving Robustness of time series classifier with Neural ODE guided gradient based data augmentation.
- Antoine Saporta, Yifu Chen, Michaël Blot, Matthieu Cord:
REVE: Regularizing Deep Learning with Variational Entropy Bound. - Anthony Munson, Bob Coecke, Quanlong Wang:
AND-gates in ZX-calculus: Spider Nest Identities and QBC-completeness. 230-255 - Vladimir G. Pestov:
Elementos da teoria de aprendizagem de máquina supervisionada. - Kizito Nkurikiyeyezu, Anna Yokokubo, Guillaume Lopez:
Affect-aware thermal comfort provision in intelligent buildings. - Johannes Sorger, Manuela Waldner, Wolfgang Knecht, Alessio Arleo:
Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation. - Ibéria Medeiros, Nuno Neves, Miguel Correia:
Statically Detecting Vulnerabilities by Processing Programming Languages as Natural Languages. - Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Learning Generalisable Omni-Scale Representations for Person Re-Identification. - Thomas Carriere, Christophe Vernay, Sebastien Pitaval, Franccois-Pascal Neirac, Georges Kariniotakis:
Sizing of a PV/Battery System Through Stochastic Control and Plant Aggregation. - Om Prakash, Shikha Patel, Shikha Yadav:
Reversible cyclic codes over Fq+ u Fq. - Katrin Hirmer, Thorben Casper, Sebastian Schöps, Klaus Hofmann:
3D Field Simulation Model for Bond Wire On-Chip Inductors Validated by Measurements. - Jiawen Kang, Zehui Xiong, Dusit Niyato, Yuze Zou, Yang Zhang, Mohsen Guizani:
Reliable Federated Learning for Mobile Networks. - Derui Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang:
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models. - Marvin Chancán, Luis Hernandez-Nunez, Ajay Narendra, Andrew B. Barron, Michael Milford:
A Compact Neural Architecture for Visual Place Recognition. - Ali Mohammed, Ahmed Eleliemy, Florina M. Ciorba, Franziska Kasielke, Ioana Banicescu:
An Approach for Realistically Simulating the Performance of Scientific Applications on High Performance Computing Systems. - Esmaeil Karimi, Fatemeh Kazemi, Anoosheh Heidarzadeh, Krishna R. Narayanan, Alex Sprintson:
Non-adaptive Quantitative Group Testing Using Irregular Sparse Graph Codes. - Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato:
Facebook AI's WAT19 Myanmar-English Translation Task Submission. - Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem:
DeepGCNs: Making GCNs Go as Deep as CNNs. - Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis:
Breadth-first, Depth-next Training of Random Forests. - Filip Badan, Lukás Sekanina:
Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution. - Angelo Bratta, Romeo Orsolino, Michele Focchi, Victor Barasuol, Giovanni Gerardo Muscolo, Claudio Semini:
On the Hardware Feasibility of Nonlinear Trajectory Optimization for Legged Locomotion based on a Simplified Dynamics. - Hrishikesh Kulkarni, P. Joshi, P. Chande:
Computational Psychology to Embed Emotions into News or Advertisements to Increase Reader Affinity. - Lars Buesing, Nicolas Heess, Theophane Weber:
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions. - Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho:
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. - Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
On Higher-order Moments in Adam. - Ankit Pensia, Varun S. Jog, Po-Ling Loh:
Extracting robust and accurate features via a robust information bottleneck. - Zhihui Gao, Yunfan Gao, Sulei Wang, Dan Li, Yuedong Xu, Hongbo Jiang:
CRISLoc: Reconstructable CSI Fingerprintingfor Indoor Smartphone Localization. - Mahdi H. Miraz:
Blockchain of Things (BCoT): The Fusion of Blockchain and IoT Technologies. - Sandip Paul, Kumar Sankar Ray, Diganta Saha:
A Unified Framework for Nonmonotonic Reasoning with Vagueness and Uncertainty. - Utku Kose:
Techniques for Adversarial Examples Threatening the Safety of Artificial Intelligence Based Systems. - Hosny Abbas:
Machine Learning for Paper Grammage Prediction Based on Sensor Measurements in Paper Mills. - Ritchie Zhao, Christopher De Sa, Zhiru Zhang:
Overwrite Quantization: Opportunistic Outlier Handling for Neural Network Accelerators. - Sadra Mohammadshirazi, Alireza Bagheri:
Apply Sorting Algorithms to FAST Problem. - Alexia Jolicoeur-Martineau, Ioannis Mitliagkas:
Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs. - Frederik Harder, Jonas Köhler, Max Welling, Mijung Park:
DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning. - Akira Inokuchi, Yusuf Sulistyo Nugroho, Fumiaki Konishi, Hideaki Hata, Akito Monden, Kenichi Matsumoto:
From Academia to Software Development: Publication Citations in Source Code Comments. - Ahmed Mazari, Hichem Sahbi:
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks. - Kailai Xu, Eric Darve:
Adversarial Numerical Analysis for Inverse Problems. - Hangfeng He, Weijie J. Su:
The Local Elasticity of Neural Networks. - Kailiang Wu, Dongbin Xiu:
Data-Driven Deep Learning of Partial Differential Equations in Modal Space. - (Withdrawn) How to eliminate detour behaviors in E-hailing: On-line detection and Pricing regulation.
- Marius Catalin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole Beckage, Jonathan D. Cohen:
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora. - Ziwei Ji, Matus Telgarsky, Ruicheng Xian:
Neural tangent kernels, transportation mappings, and universal approximation. - Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots. - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Tiny Video Networks. - Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen:
SegSort: Segmentation by Discriminative Sorting of Segments. - Zeki C. Seskir, Arsev U. Aydinoglu:
The Landscape of Academic Literature in Quantum Information Technologies. - Katja Ried, Benjamin Eva, Thomas Müller, Hans J. Briegel:
How a minimal learning agent can infer the existence of unobserved variables in a complex environment. - Delyan Z. Kalchev, Panayot S. Vassilevski:
Auxiliary Space Preconditioning of Finite Element Equations Using a Nonconforming Interior Penalty Reformulation and Static Condensation. - Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer:
Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making. - Talgat Daulbaev, Julia Gusak, Evgeny Ponomarev, Andrzej Cichocki, Ivan V. Oseledets:
Reduced-Order Modeling of Deep Neural Networks. - Botao Hao, Tor Lattimore, Csaba Szepesvári:
Adaptive Exploration in Linear Contextual Bandit. - Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning:
Answering Complex Open-domain Questions Through Iterative Query Generation. - Tomer Libal, Alexander Steen:
The NAI Suite - Drafting and Reasoning over Legal Texts. - Gean Trindade Pereira, Moisés Rocha dos Santos, Edesio Alcobaça, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Transfer Learning for Algorithm Recommendation. - Lu Yu, Oluwakemi Hambolu, Yu Fu, Jon Oakley, Richard R. Brooks:
Privacy Preserving Count Statistics. - Qi Lei, Jason D. Lee, Alexandros G. Dimakis, Constantinos Daskalakis:
SGD Learns One-Layer Networks in WGANs. - Hussam Lawen, Avi Ben-Cohen, Matan Protter, Itamar Friedman, Lihi Zelnik-Manor:
Attention Network Robustification for Person ReID. - Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho:
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design. - Emmanuel Bacry, Stéphane Gaïffas, Fanny Leroy, Maryan Morel, Dinh Phong Nguyen, Youcef Sebiat, Dian Sun:
SCALPEL3: a scalable open-source library for healthcare claims databases. - Markus Bachmayr, Wolfgang Dahmen:
Adaptive Low-Rank Approximations for Operator Equations: Accuracy Control and Computational Complexity. - Xianwei Cheng, Hui Zhao, Mahmut T. Kandemir, Saraju P. Mohanty, Beilei Jiang:
Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing. - Lauren Linkous, Nasibeh Zohrabi, Sherif Abdelwahed:
Health Monitoring in Smart Homes Utilizing Internet of Things. - Varun Shankar, Grady B. Wright, Akil Narayan:
A Robust Hyperviscosity Formulation for Stable RBF-FD Discretizations of Advection-Diffusion-Reaction Equations on Manifolds. - Avik Ray, Yilin Shen, Hongxia Jin:
Iterative Delexicalization for Improved Spoken Language Understanding. - J. Robin B. Cockett, Geoff S. H. Cruttwell, Jonathan Gallagher, Jean-Simon Pacaud Lemay, Benjamin MacAdam, Gordon D. Plotkin, Dorette Pronk:
Reverse derivative categories. - Mikhail Pautov, Grigorii Melnikov, Edgar Kaziakhmedov, Klim Kireev, Aleksandr Petiushko:
On adversarial patches: real-world attack on ArcFace-100 face recognition system. - W. Ronny Huang, Yike Qi, Qianqian Li, Jonathan L. DeGange:
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. - Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain:
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. - Utku Kose:
Occurence of A Cyber Security Eco-System: A Nature Oriented Project and Evaluation of An Indirect Social Experiment. - Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang:
Flowless: Extracting Densest Subgraphs Without Flow Computations. - Subbarao Kambhampati:
Challenges of Human-Aware AI Systems. - Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez-Sala, Chia Dai, Yeeho Song:
Explainable Semantic Mapping for First Responders. - Tong Qin, Zhen Chen, John D. Jakeman, Dongbin Xiu:
A neural network approach for uncertainty quantification for time-dependent problems with random parameters. - Jun Sur Richard Park, Viet Ha Hoang:
Homogenization of a multiscale multi-continuum system. - Hong Wen, Jing Zhang, Yuan Wang, Wentian Bao, Quan Lin, Keping Yang:
Conversion Rate Prediction via Post-Click Behaviour Modeling. - Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li:
Orthogonal Gradient Descent for Continual Learning. - Rishav Raj Agarwal, Dhruv Kumar, Lukasz Golab, Srinivasan Keshav:
Consentio: Managing Consent to Data Access using Permissioned Blockchains. - OpenAI, Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej, Mateusz Litwin, Bob McGrew, Arthur Petron, Alex Paino, Matthias Plappert, Glenn Powell, Raphael Ribas, Jonas Schneider, Nikolas Tezak, Jerry Tworek, Peter Welinder, Lilian Weng, Qiming Yuan, Wojciech Zaremba, Lei Zhang:
Solving Rubik's Cube with a Robot Hand. - Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han:
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. - Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng:
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. - Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. - Masanari Kimura:
Large-Scale Landslides Detection from Satellite Images with Incomplete Labels. - Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha, Reihaneh Rabbany:
SGP: Spotting Groups Polluting the Online Political Discourse. - Vasil Kolev, Todor Cooklev, Fritz Keinert:
Design of a Simple Orthogonal Multiwavelet Filter by Matrix Spectral Factorization. - Kenton Murray, Brian DuSell, David Chiang:
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task. - Ran Tian, Nan Li, Ilya V. Kolmanovsky, Yildiray Yildiz, Anouck Girard:
Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation. - Guangyan Hu, Yongfeng Zhang, Sandro Rigo, Thu D. Nguyen:
Similarity Driven Approximation for Text Analytics. - Travis Gagie, Tomohiro I, Giovanni Manzini, Gonzalo Navarro, Hiroshi Sakamoto, Louisa Seelbach Benkner, Yoshimasa Takabatake:
Tree-Shape Grammars for Random Access. - Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen, Pavitra Krishnaswamy, Rafael E. Banchs:
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding. - Peng Yang, Ke Tang, Xin Yao:
Negatively Correlated Search as a Parallel Exploration Search Strategy. - Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister:
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost. - Mayank Jobanputra:
Unsupervised Question Answering for Fact-Checking. - Prem Krishnaa, Girija Limaye, Meghana Nasre, Prajakta Nimbhorkar:
Maximum-Size Envy-free Matchings. - Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon:
Conditional Learning of Fair Representations. - Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li:
Generative Modeling for Small-Data Object Detection. - Davit Buniatyan:
Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks. - Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. - Tong Guo, Huilin Gao:
Content Enhanced BERT-based Text-to-SQL Generation. - Timo Schick, Hinrich Schütze:
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance. - Xu Zhang, Wei Cui, Yulong Liu:
Covariance Matrix Estimation from Correlated Sub-Gaussian Samples. - Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu:
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. - Yibing Wang, Yong Niu, Hao Wu, Zhu Han, Bo Ai, Qi Wang:
Sub-Channel Allocation for Device-to-Device Underlaying Full-Duplex mmWave Small Cells using Coalition Formation Games. - Pierre Degond, Shi Jin, Yuhua Zhu:
An Uncertainty Quantification Approach to the Study of Gene Expression Robustness. - Yuki Endo, Yoshihiro Kanamori, Shigeru Kuriyama:
Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis. - Yiqiang Sheng:
Scalable Intelligence-Enabled Networking with Traffic Engineering in 5G Scenarios for Future Audio-Visual-Tactile Internet. - Mahdi Cheraghchi, João Ribeiro:
An Overview of Capacity Results for Synchronization Channels. - Florian Lemarchand, Cyril Marlin, Florent Montreuil, Erwan Nogues, Maxime Pelcat:
Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification. - Arnaud Malapert, Margaux Nattaf:
A new CP-approach for a parallel machine scheduling problem with time constraints on machine qualifications. - Petros Christodoulou:
Soft Actor-Critic for Discrete Action Settings. - Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson:
On Learning Paradigms for the Travelling Salesman Problem. - Yuezheng Gong, Jia Zhao, Qi Wang:
Arbitrarily High-order Linear Schemes for Gradient Flow Models. - Boaz Shmueli:
Tutorial on NLP-Inspired Network Embedding. - Ke Wang, Kaixuan Wang, Shaojie Shen:
FlowNorm: A Learning-based Method for Increasing Convergence Range of Direct Alignment. - Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings. - Jessica Díaz, Jorge E. Pérez, Agustín Yagüe, Andrea Villegas, Antonio de Antona:
DevOps in Practice - A preliminary Analysis of two Multinational Companies. - Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer:
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. - Julian Stier, Michael Granitzer:
Structural Analysis of Sparse Neural Networks. - Xinchao Jiang, Hu Wang, Yu Li, Kangjia Mo:
Machine Learning based parameter tuning strategy for MMC based topology optimization. - Varsha M. Pathak, Manish R. Joshi:
Rule based Approach for Word Normalization by resolving Transcription Ambiguity in Transliterated Search Queries. - Adel Ammar, Anis Koubaa, Mohanned Ahmed, Abdulrahman Saad:
Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3. - Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim:
Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages. - Khurram Shahzad, Xiangyun Zhou, Shihao Yan:
Covert Wireless Communication in Presence of a Multi-Antenna Adversary and Delay Constraints. - Stefania Ebli, Gard Spreemann:
A Notion of Harmonic Clustering in Simplicial Complexes. - Florian Henkel, Rainer Kelz, Gerhard Widmer:
Audio-Conditioned U-Net for Position Estimation in Full Sheet Images. - Jeroen Berrevoets, Sam Verboven, Wouter Verbeke:
Optimising Individual-Treatment-Effect Using Bandits. - Camila F. T. Pontes, João J. C. Gondim, Matt Bishop, Marcelo Antonio Marotta:
A new method for flow-based network intrusion detection using inverse statistical physics. - Hao Chen, Jian Weng, Weiqi Luo:
Long Optimal or Small-Defect LRC Codes with Unbounded Minimum Distances. - Jakub Kmec, Sebastian Schmitt:
Exploring the fitness landscape of a realistic turbofan rotor blade optimization. - Karoline Busse, Sabrina Amft, Daniel Hecker, Emanuel von Zezschwitz:
"Get a Free Item Pack with Every Activation!" - Do Incentives Increase the Adoption Rates of Two-Factor Authentication? - Peter G. Boyvalenkov, Peter Dragnev, Douglas P. Hardin, Edward B. Saff, Maya Stoyanova:
Universal Bounds for Size and Energy of Codes of Given Minimum and Maximum Distances. - Evan Piermont:
Algebraic Semantics for Propositional Awareness Logics. - Emmanuelle-Anna Dietz Saldanha, Jorge Fandinno:
On the Relation between Weak Completion Semantics and Answer Set Semantics. - Matteo Dell'Amico:
FISHDBC: Flexible, Incremental, Scalable, Hierarchical Density-Based Clustering for Arbitrary Data and Distance. - Ozsel Kilinc, Yang Hu, Giovanni Montana:
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations. - Pavel Naumov, Yuan Yuan:
Intelligence in Strategic Games. - Kévin Perrot, Pacôme Perrotin, Sylvain Sené:
On the complexity of acyclic modules in automata networks. - Alexander Sjösten, Peter Snyder, Antonio Pastor, Panagiotis Papadopoulos, Benjamin Livshits:
Filter List Generation for Underserved Regions. - Yasuaki Kobayashi, Kensuke Kojima, Norihide Matsubara, Taiga Sone, Akihiro Yamamoto:
Algorithms and Hardness Results for the Maximum Balanced Connected Subgraph Problem. - Huanhuan Huang, Tong Ye, Tony Tong Lee:
Throughput and Delay Analysis of Slotted Aloha with Batch Service. - Giselle Sosa Jones, Jeonghun J. Lee, Sander Rhebergen:
A space-time hybridizable discontinuous Galerkin method for linear free-surface waves. - Federico Mason, Marco Giordani, Federico Chiariotti, Andrea Zanella, Michele Zorzi:
An Adaptive Broadcasting Strategy for Efficient Dynamic Mapping in Vehicular Networks. - Adrien Dufraux, Emmanuel Vincent, Awni Y. Hannun, Armelle Brun, Matthijs Douze:
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition. - Vladislav Kokhan, Maxim Grigoriev, Alexey V. Buzmakov, V. Uvarov, Anastasia Ingacheva, Evgeny A. Shvets, Marina V. Chukalina:
Segmentation Criteria in the Problem of Porosity Determination based on CT Scans. - Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi:
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone. - Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg:
What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. - Lahari Poddar, György Szarvas, Lea Frermann:
A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings. - Dmitry V. Lande, A. M. Soboliev:
Design method of Temporary Horizontal Visibility Graph for information sources impact network. - Michal Stypulkowski, Maciej Zamorski, Maciej Zieba, Jan Chorowski:
Conditional Invertible Flow for Point Cloud Generation. - Simon Suster, Madhumita Sushil, Walter Daelemans:
Why can't memory networks read effectively? - Monarch Parmar, Naman Jain, Pranjali Jain, P. Jayakrishna Sahit, Soham Pachpande, Shruti Singh, Mayank Singh:
NLPExplorer: Exploring the Universe of NLP Papers. - Sourabh Majumdar, Serra Sinem Tekiroglu, Marco Guerini:
Generating Challenge Datasets for Task-Oriented Conversational Agents through Self-Play. - Carl Chalmers, Paul Fergus, Serge A. Wich, C. Aday Curbelo Montañez:
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology. - Sarthak Yadav, Atul Rai:
Frequency and temporal convolutional attention for text-independent speaker recognition. - Yifei Wu, Xiaofei Zhao:
Optimal convergence of a second order low-regularity integrator for the KdV equation. - Daniel Jiwoong Im, Yibo Jiang, Nakul Verma:
Model-Agnostic Meta-Learning using Runge-Kutta Methods. - Aditya Malte, Pratik Ratadiya:
Evolution of transfer learning in natural language processing. - Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez:
Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks. - Francesco Zola, Cristina Pérez-Solà, Jon Egaña Zubia, Maria Eguimendia, Jordi Herrera-Joancomartí:
Kriptosare.gen, a dockerized Bitcoin testbed: analysis of server performance. - Irene-Angelica Chounta:
Using learning analytics to provide personalized recommendations for finding peers. - Anier Soria-Lorente, Stefan Berres, Ernesto Avila-Domenech:
Hiding data inside images using orthogonal moments. - Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiaoyu Wang, Alexander Wong:
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms. - Patrick Henning, Anna Persson:
Computational homogenization of time-harmonic Maxwell's equations. - Thassilo Gadermaier, Gerhard Widmer:
A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music. - Azadeh Nazemi, Niloofar Tavakolian, Donal Fitzpatrick, Chandrika Fernando, Ching Y. Suen:
Offline handwritten mathematical symbol recognition utilising deep learning. - José Á. Morell, Andrés Camero, Enrique Alba:
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. - Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke:
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks. - Nina Engelhardt, Hayden Kwok-Hay So:
GraVF-M: Graph Processing System Generation for Multi-FPGA Platforms. - Matthew Holbrook, Jennifer A. Hobbs, Patrick Lucey:
Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis. - Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold W. M. Smeulders:
Understanding Misclassifications by Attributes. - Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel:
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service. - Pulakesh Upadhyaya, Anxiao Jiang:
Machine Learning for Error Correction with Natural Redundancy. - Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. - Bashir Sadeghi, Runyi Yu, Vishnu Naresh Boddeti:
On the Global Optima of Kernelized Adversarial Representation Learning. - Weixing Chen, Xiaoyu Cui, Jing Zheng, Jinming Zhang, Shuo Chen, Yudong Yao:
Gaze Gestures and Their Applications in human-computer interaction with a head-mounted display. - Travis R. Goodwin, Dina Demner-Fushman:
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge. - Anna Evtushenko, Michael T. Gastner:
Beyond Fortune 500: Women in a Global Network of Directors. - Timothy Anglea, Yongqiang Wang:
Decentralized Heading Control with Rate Constraints using Pulse-Coupled Oscillators. - Zhiyuan Li, Sanjeev Arora:
An Exponential Learning Rate Schedule for Deep Learning. - Zhaoyi Fan:
An experimental platform for gathering user behavioural data via browser APIs. - Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel, Hans Uszkoreit:
Linguistic evaluation of German-English Machine Translation using a Test Suite. - Juan Carlos Vargas, Malhar Bhoite, Amir Barati Farimani:
Creativity in Robot Manipulation with Deep Reinforcement Learning. - Vivien Macketanz, Eleftherios Avramidis, Aljoscha Burchardt, Hans Uszkoreit:
Fine-grained evaluation of German-English Machine Translation based on a Test Suite. - Yuzhen Qin, Yu Kawano, Brian D. O. Anderson, Ming Cao:
Partial Exponential Stability Analysis of Slow-fast Systems via Periodic Averaging. - Biao Zhang, Rico Sennrich:
Root Mean Square Layer Normalization. - Eleftherios Avramidis, Vivien Macketanz, Arle Lommel, Hans Uszkoreit:
Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically-motivated Test Suite. - Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri:
Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs. - Patrick S. H. Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk:
MLQA: Evaluating Cross-lingual Extractive Question Answering. - Elisa Oostwal, Michiel Straat, Michael Biehl:
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation. - Shuo Feng, Ziyou Song, Zhaojian Li, Yi Zhang, Li Li:
Robust cooperative platoon control in mixed traffic flow considering the uncertainty of human-driven vehicles. - Mark Rowland, Will Dabney, Rémi Munos:
Adaptive Trade-Offs in Off-Policy Learning. - Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney:
Conditional Importance Sampling for Off-Policy Learning. - Valentin Macé, Christophe Servan:
Using Whole Document Context in Neural Machine Translation. - Ozan Caglayan, Zixiu Wu, Pranava Madhyastha, Josiah Wang, Lucia Specia:
Imperial College London Submission to VATEX Video Captioning Task. - Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson:
MAVEN: Multi-Agent Variational Exploration. - Jonas Jäger, Gereon Reus, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth:
LOST: A flexible framework for semi-automatic image annotation. - Joshua P. Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh C. Bongard:
Embodiment dictates learnability in neural controllers. - Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor:
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation. - Xiaohan Wu, Benjamin L. Liebman, Rachel E. Stern, Margaret E. Roberts, Amarnath Gupta:
On Constructing a Knowledge Base of Chinese Criminal Cases. - Pritam Sarkar, Ali Etemad:
Self-supervised Learning for ECG-based Emotion Recognition. - Changsheng Chen, Wenyun Ju, Kai Sun, Shiying Ma:
Mitigation of Cascading Outages Using a Dynamic Interaction Graph-Based Optimal Power Flow Model. - Karl Schwenk, Tim Harr, René Großmann, Riccardo Remo Appino, Veit Hagenmeyer, Ralf Mikut:
Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility. - Yunhan Huang, Juntao Chen, Linan Huang, Quanyan Zhu:
Dynamic Games for Secure and Resilient Control System Design. - Yuanhao Wang, Guodong Zhang, Jimmy Ba:
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach. - Deepali Aneja, Rens Hoegen, Daniel McDuff, Mary Czerwinski:
Designing Style Matching Conversational Agents. - Noam Yefet, Uri Alon, Eran Yahav:
Adversarial Examples for Models of Code. - Sylvia Jaki, Tom De Smedt:
Right-wing German Hate Speech on Twitter: Analysis and Automatic Detection. - Dominique Duval, Rachid Echahed, Frédéric Prost:
On foundational aspects of RDF and SPARQL. - Utsav Banerjee, Tenzin S. Ukyab, Anantha P. Chandrakasan:
Sapphire: A Configurable Crypto-Processor for Post-Quantum Lattice-based Protocols. - Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan:
A Double Residual Compression Algorithm for Efficient Distributed Learning. - Alun D. Preece, Dave Braines, Federico Cerutti, Tien Pham:
Explainable AI for Intelligence Augmentation in Multi-Domain Operations. - Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale:
UMap: Enabling Application-driven Optimizations for Page Management. - Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski:
Active Learning for Graph Neural Networks via Node Feature Propagation. - Georgios A. Barzegkar-Ntovom, Nikolas G. Chatzigeorgiou, Angelos I. Nousdilis, Styliani A. Vomva, Georgios C. Kryonidis, Eleftherios O. Kontis, George E. Georghiou, Georgios C. Christoforidis, Grigoris K. Papagiannis:
Assessing the viability of Battery Energy Storage Systems coupled with Photovoltaics under a pure self-consumption scheme. - Sergii Kushch, Yurii Baryshev, Silvio Ranise:
Blockchain Tree as Solution for Distributed Storage of Personal ID Data and Document Access Control. - Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths:
Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decision-Making. - Andreas Stahlbauer:
Abstract Transducers. - Sariel Har-Peled, Mitchell Jones:
Some Geometric Applications of Anti-Chains. - Defeng Liu, Andrea Lodi, Mathieu Tanneau:
Learning chordal extensions. - Yanpei Shi, Qiang Huang, Thomas Hain:
Contextual Joint Factor Acoustic Embeddings. - Simon Oya, Carmela Troncoso, Fernando Pérez-González:
Meet the Family of Statistical Disclosure Attacks. - Jacob Pfau, Albert T. Young, Maria L. Wei, Michael J. Keiser:
Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias. - Hernan Haimovich, José Luis Mancilla-Aguilar:
Nonrobustness of asymptotic stability of impulsive systems with inputs. - Anoosheh Heidarzadeh, Fatemeh Kazemi, Alex Sprintson:
The Role of Coded Side Information in Single-Server Private Information Retrieval. - Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh:
Learning from My Partner's Actions: Roles in Decentralized Robot Teams. - Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox:
Conditional Driving from Natural Language Instructions. - Chandra Chekuri, Alina Ene, Ali Vakilian:
Node-Weighted Network Design in Planar and Minor-Closed Families of Graphs. - Zhouqiao Zhao, Guoyuan Wu, Ziran Wang, Matthew J. Barth:
Optimal Control-Based Ramp Merging System for Connected and Automated Electric Vehicles. - Matthias Niedermaier, Florian Fischer, Dominik Merli, Georg Sigl:
Network Scanning and Mapping for IIoT Edge Node Device Security. - Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini:
Generalized Clustering by Learning to Optimize Expected Normalized Cuts. - Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger:
A New Defense Against Adversarial Images: Turning a Weakness into a Strength. - Donglin Zhan, Shiyu Yi, Dongli Xu, Xiao Yu, Denglin Jiang, Siqi Yu, Haoting Zhang, Wenfang Shangguan, Weihua Zhang:
Adaptive Transfer Learning of Multi-View Time Series Classification. - Xiaoyang Xu, Yiqun Liu, Hanqing Chao, Youcheng Luo, Hai Chu, Lei Chen, Junping Zhang, Leiming Ma:
Towards a Precipitation Bias Corrector against Noise and Maldistribution. - Oliver Zhang, Ruei-Sung Lin, Yuchuan Gou:
Optimal Transport Based Generative Autoencoders. - Yeeleng Scott Vang, Yingxin Cao, Xiaohui Xie:
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction. - (Withdrawn) RGB-D Individual Segmentation.
- Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron:
Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs. - Obaida Hanteer, Roberto Interdonato, Matteo Magnani, Andrea Tagarelli, Luca Rossi:
Community Detection in Multiplex Networks. - Marc Jayson Baucas, Petros Spachos:
Using Cloud and Fog Computing for Large Scale IoT-based Urban Sound Classification. - Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh:
Deep Semantic Segmentation of Natural and Medical Images: A Review. - Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc:
Deep Learning Anti-patterns from Code Metrics History. - Kristjan Arumae, Parminder Bhatia, Fei Liu:
Towards Annotating and Creating Sub-Sentence Summary Highlights. - Nabor C. Mendonça, Pooyan Jamshidi, David Garlan, Claus Pahl:
Developing Self-Adaptive Microservice Systems: Challenges and Directions. - Sarah E. Marzen, James P. Crutchfield:
Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited. - Yansheng Wu, Jong Yoon Hyun:
Few-weight codes over Fp+uFp associated with down sets and their distance optimal Gray image. - Xinbo Geng, Le Xie, Mohammad Sadegh Modarresi:
A General Scenario Theory For Security-Constrained Unit Commitment With Probabilistic Guarantees. - Shammya Shananda Saha, Eran Schweitzer, Anna Scaglione, Nathan G. Johnson:
A Framework for Generating Synthetic Distribution Feeders using OpenStreetMap. - Ferkan Yilmaz:
On the asymptotic analysis of the high-order statistics of the channel capacity over generalized fading channels. - Jie Su:
Wasserstein Distance Guided Cross-Domain Learning. - Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen:
Cross Attention Network for Few-shot Classification. - Vibhuti Gupta, Rattikorn Hewett:
Adaptive Normalization in Streaming Data. - Arjun Singhvi, Junaid Khalid, Aditya Akella, Sujata Banerjee:
SNF: Serverless Network Functions. - Jiacheng Zhuo, Qi Lei, Alexandros G. Dimakis, Constantine Caramanis:
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. - Cuiyu He, Xu Zhang:
Residual-based a posteriori error estimation for immersed finite element methods. - Jeff Da:
BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge. - Gioele Zardini, Nicolas Lanzetti, Mauro Salazar, Andrea Censi, Emilio Frazzoli, Marco Pavone:
Towards a Co-Design Framework for Future Mobility Systems. - Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel M. Faissol:
Single Episode Policy Transfer in Reinforcement Learning. - Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen:
Deep Contextual Attention for Human-Object Interaction Detection. - Sagar Verma, Prince Patel, Angshul Majumdar:
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine. - Shiwali Mohan:
Exploring the Role of Common Model of Cognition in Designing Adaptive Coaching Interactions for Health Behavior Change. - Jan Rüth, Konrad Wolsing, Klaus Wehrle, Oliver Hohlfeld:
Perceiving QUIC: Do Users Notice or Even Care? - Henning Schlüter, Friedrich Solowjow, Sebastian Trimpe:
Event-triggered Learning for Linear Quadratic Control. - Murtaza Dalal, Alexander C. Li, Rohan Taori:
Autoregressive Models: What Are They Good For? - Sorin Mihai Grigorescu, Bogdan Trasnea, Tiberiu T. Cocias, Gigel Macesanu:
A Survey of Deep Learning Techniques for Autonomous Driving. - Farideh Parastar, Shian J. Wang:
Quality of Service in IEEE 802.11 WLANs: An Experimental Study. - Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk:
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator. - Hufei Zhu, Chenghao Wei:
Reducing the Computational Complexity of Pseudoinverse for the Incremental Broad Learning System on Added Inputs. - Andreas Kopf, Vincent Fortuin, Vignesh Ram Somnath, Manfred Claassen:
Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations. - Sagar Verma, Pravin Nagar, Divam Gupta, Chetan Arora:
Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos. - Jérôme Droniou, Neela Nataraj, Gopikrishnan Chirappurathu Remesan:
Convergence analysis of a numerical scheme for a tumour growth model. - Xingbo Dong, Zhe Jin, Andrew Beng Jin Teoh, Massimo Tistarelli, KokSheik Wong:
On the Reliability of Cancelable Biometrics: Revisit the Irreversibility. - Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction using Large Data Sets. - Louis Abraham, Dominique Guégan:
The other side of the Coin: Risks of the Libra Blockchain. - Saeed Taheri, Apan Qasem, Martin Burtscher:
A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels. - Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos:
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. - Sagar Verma, Richa Verma, P. B. Sujit:
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report. - Lum Ramabaja, Arber Avdullahu:
The Distributed Bloom Filter. - Tugrulcan Elmas, Rebekah Overdorf, Ahmed Furkan Özkalay, Karl Aberer:
Lateral Astroturfing Attacks on Twitter Trending Topics. - Deepanwita Datta:
Indoor Information Retrieval using Lifelog Data. - Naibo Wang, Zhiling Luo, Xiya Lyu, Zitong Yang, Jianwei Yin:
Service Wrapper: a system for converting web data into web services. - Houwang Zhang, Chong Wu, Hanying Zheng, Le Zhang:
NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal. - Xu Chen, Kenan Cui, Ya Zhang, Yanfeng Wang:
Cascading: Association Augmented Sequential Recommendation. - Mohamed-Amine Lahmeri, Mustafa A. Kishk, Mohamed-Slim Alouini:
Stochastic Geometry-Based Analysis of Airborne Base Stations with Laser-powered UAVs. - Neta Shoham, Tomer Avidor, Aviv Keren, Nadav Israel, Daniel Benditkis, Liron Mor-Yosef, Itai Zeitak:
Overcoming Forgetting in Federated Learning on Non-IID Data. - Fabian Klute, Guangping Li, Raphael Löffler, Martin Nöllenburg, Manuela Schmidt:
Exploring Semi-Automatic Map Labeling. - Yustinus Eko Soelistio:
Do you see what I see? Taking perspective of others using facial images. - Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li:
Information-theoretic metrics for Local Differential Privacy protocols. - Olivier Bousquet, Yegor Klochkov, Nikita Zhivotovskiy:
Sharper bounds for uniformly stable algorithms. - Debanjan Chaudhuri, Md. Rashad Al Hasan Rony, Simon Jordan, Jens Lehmann:
Using a KG-Copy Network for Non-Goal Oriented Dialogues. - Chuang Geng, Lei Wang:
End-to-end speech enhancement based on discrete cosine transform. - Firuz Kamalov:
KDE sampling for imbalanced class distribution. - Yoo Yeon Sung, Seoung Bum Kim:
Topical Keyphrase Extraction with Hierarchical Semantic Networks. - Lukas Barth, Dorothea Wagner:
Engineering Top-Down Weight-Balanced Trees. - Bho Matthiesen, Christoph Hellings, Eduard A. Jorswieck, Wolfgang Utschick:
Mixed Monotonic Programming for Fast Global Optimization. - Ludwig Schallner, Johannes Rabold, Oliver Scholz, Ute Schmid:
Effect of Superpixel Aggregation on Explanations in LIME - A Case Study with Biological Data. - Alain Govaert, Ming Cao:
Zero-Determinant strategies in finitely repeated n-player games. - Raghav Brahmadesam Venkataramaiyer, Subham Kumar, Vinay P. Namboodiri:
Can I teach a robot to replicate a line art. - Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders:
Go with the Flow: Perception-refined Physics Simulation. - Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform: Data and Application Management for the Internet of Things. - Louis Duvivier, Rémy Cazabet, Céline Robardet:
Minimum entropy stochastic block models neglect edge distribution heterogeneity. - Boyuan Chen, Shuran Song, Hod Lipson, Carl Vondrick:
Visual Hide and Seek. - Matthias Niedermaier, Florian Fischer, Alexander von Bodisco:
PropFuzz - An IT-Security Fuzzing Framework for Proprietary ICS Protocols. - Wenhao Zhang, Ramin Ramezani, Arash Naeim:
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning. - Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
Keyphrase Extraction from Disaster-related Tweets. - Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Aummul Baneen Manasawala, Yu-Wen Lin, Costas J. Spanos:
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure. - Yanpei Shi, Qiang Huang, Thomas Hain:
H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model. - Fernando Pérez-González, Carmela Troncoso, Simon Oya:
A Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems. - Katrin M. Dannert, Erich Grädel, Matthias Naaf, Val Tannen:
Generalized Absorptive Polynomials and Provenance Semantics for Fixed-Point Logic. - Cristina Fernández-Córdoba, Carlos Vela, Mercè Villanueva:
On the Kernel of Z2s-Linear Simplex and MacDonald Codes. - Jun Sun, Steffen Staab, Jérôme Kunegis:
Understanding Social Networks using Transfer Learning. - Devon Callahan, Timothy Curry, Daniel Davidson, Heytem Zitoun, Benjamin Fuller, Laurent Michel:
FASHION: Functional and Attack graph Secured HybrId Optimization of virtualized Networks. - Benjamin Beilharz, Xin Sun, Sariya Karimova, Stefan Riezler:
LibriVoxDeEn: A Corpus for German-to-English Speech Translation and Speech Recognition. - Sergül Aydöre, Tianhao Zhu, Dean P. Foster:
Dynamic Local Regret for Non-convex Online Forecasting. - Diana Berbecaru, Antonio Lioy:
Preliminary steps in designing and implementing a privilege verifier for PMI. - Siqi Bao, Huang He, Fan Wang, Hua Wu:
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable. - Veronika Irvine, Therese Biedl, Craig S. Kaplan:
Quasiperiodic bobbin lace patterns. - Giulio Guerrieri, Luc Pellissier, Lorenzo Tortora de Falco:
Glueability of resource proof-structures: inverting the Taylor expansion (long version). - James Barry, Joachim Wagner, Jennifer Foster:
Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study. - Sota Yasuda, Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai:
A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method. - Dekel Tsur:
Faster parameterized algorithm for Bicluter Editing. - Diana Berbecaru, Antonio Lioy, Marius Marian:
A Framework for Secure Digital Administration. - Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard:
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics. - Yu Gao, Jason Li, Danupon Nanongkai, Richard Peng, Thatchaphol Saranurak, Sorrachai Yingchareonthawornchai:
Deterministic Graph Cuts in Subquadratic Time: Sparse, Balanced, and k-Vertex. - Linjie Xing, Zhi Tian, Weilin Huang, Matthew R. Scott:
Convolutional Character Networks. - Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya:
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors. - Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Smoothing graph signals via random spanning forests. - Arvind W. Kiwelekar:
Role of Ontology Training to Software Engineering Students. - Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister:
On Concept-Based Explanations in Deep Neural Networks. - Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. - Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang:
Universal Text Representation from BERT: An Empirical Study. - Mahroo Bahreinian, Erfan Aasi, Roberto Tron:
Robust Planning and Control For Polygonal Environments via Linear Programming. - Haotian Chi, Qiang Zeng, Xiaojiang Du, Lannan Luo:
PFirewall: Semantics-Aware Customizable Data Flow Control for Home Automation Systems. - Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding:
Combining Machine Learning Models using combo Library. - Pengpeng Yang, Rongrong Ni, Yao Zhao, Gang Cao, Wei Zhao:
Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics. - Abdulbasid Ismail Isa, Mukhtar Fatihu Hamza, Mustapha Muhammad:
Hybrid Fuzzy Control of Nonlinear Inverted Pendulum System. - Ramya Akula, Niloofar Yousefi, Ivan Garibay:
DeepFork: Supervised Prediction of Information Diffusion in GitHub. - Lilac Atassi:
Body as controller. - Jesús San Martín, Fátima Drubi, Daniel Rodríguez-Pérez:
Uncritical polarized groups: The impact of spreading fake news as fact in social networks. - Christian Riegger, Tobias Vinçon, Robert Gottstein, Ilia Petrov:
MV-PBT: Multi-Version Index for Large Datasets and HTAP Workloads. - Julia Chuzhoy, Yu Gao, Jason Li, Danupon Nanongkai, Richard Peng, Thatchaphol Saranurak:
A Deterministic Algorithm for Balanced Cut with Applications to Dynamic Connectivity, Flows, and Beyond. - Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales:
Deep clustering with concrete k-means. - Yin Tat Lee, Aaron Sidford:
Solving Linear Programs with Sqrt(rank) Linear System Solves. - Philippe Schwaller, Riccardo Petraglia, Valerio Zullo, Vishnu H. Nair, Rico Andreas Haeuselmann, Riccardo Pisoni, Costas Bekas, Anna Iuliano, Teodoro Laino:
Predicting retrosynthetic pathways using a combined linguistic model and hyper-graph exploration strategy. - (Withdrawn) Not Just Cloud Privacy: Protecting Client Privacy in Teacher-Student Learning.
- Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun:
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. - Andrew W. Berning Jr., Nan I. Li, Anouck Girard, Frederick A. Leve, Christopher D. Petersen, Ilya V. Kolmanovsky:
Spacecraft Relative Motion Planning Using Chained Chance-Constrained Admissible Sets. - Yogesh Balaji, Tom Goldstein, Judy Hoffman:
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets. - Neeraj Matiyali, Gaurav Sharma:
Video Person Re-Identification using Learned Clip Similarity Aggregation. - Tony Duan, Juho Lee:
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure. - Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Meta-learning for fast classifier adaptation to new users of Signature Verification systems. - Adrian Holhos, Daniela Rosca:
Orhonormal wavelet bases on the 3D ball via volume preserving map from the regular octahedron. - Mahdi Ahmadi, Nader Karimi, Shadrokh Samavi:
Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks. - Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks. - Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens, Ciarán M. Lee, Adam Baker, Saurabh Johri:
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming. - Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, Ding Zhao:
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process. - Jacek Cyranka, Alexander Georges, David Meyer:
Mapper Based Classifier. - Anindya Sarkar, Nikhil Kumar Gupta, Raghu Sesha Iyengar:
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation. - Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon:
Obfuscation via Information Density Estimation. - Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo:
Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning. - Jeffrey Kegler:
Marpa, A practical general parser: the recognizer. - Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand:
A Dataset of Multi-Illumination Images in the Wild. - Christian Muise, Tathagata Chakraborti, Shubham Agarwal, Ondrej Bajgar, Arunima Chaudhary, Luis Alfonso Lastras-Montaño, Josef Ondrej, Miroslav Vodolán, Charlie Wiecha:
Planning for Goal-Oriented Dialogue Systems. - Helmut Mayer:
RPBA - Robust Parallel Bundle Adjustment Based on Covariance Information. - Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell:
Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization. - Benedikt T. Boenninghoff, Steffen Hessler, Dorothea Kolossa, Robert M. Nickel:
Explainable Authorship Verification in Social Media via Attention-based Similarity Learning. - Pouria Golshanrad, Hamid Mahini, Behnam Bahrak:
Predicting passenger origin-destination in online taxi-hailing systems. - Sagar Verma, Shikha Singh, Angshul Majumdar:
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring. - Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu:
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. - Glaucia Melo dos Santos, Paulo S. C. Alencar, Donald D. Cowan:
Context-Augmented Software Development Projects: Literature Review and Preliminary Framework. - Matias Valdenegro-Toro:
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification. - Gnana Praveen R., Eric Granger, Patrick Cardinal:
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos. - Sarah K. Locke, John R. Singler:
New proper orthogonal decomposition approximation theory for PDE solution data. - Huidong Gao, Yi Ouyang, Masayoshi Tomizuka:
Online Learning in Planar Pushing with Combined Prediction Model. - Alberto Ferrari, Manuel Gadella, Luis Lara, Eduardo Santillan Marcus:
Approximate solutions of one dimensional systems with fractional derivative. - Amine Elhafsi, Boris Ivanovic, Lucas Janson, Marco Pavone:
Map-Predictive Motion Planning in Unknown Environments. - Wail Y. Alkowaileet, Sattam Alsubaiee, Michael J. Carey:
An LSM-based Tuple Compaction Framework for Apache AsterixDB. - Rebecca E. Morrison:
Embedded discrepancy operators in reduced models of interacting species. - Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. - Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. - Kaveh Hassani, Mike Haley:
Unsupervised Multi-Task Feature Learning on Point Clouds. - Victor Zhong, Tim Rocktäschel, Edward Grefenstette:
RTFM: Generalising to Novel Environment Dynamics via Reading. - Xi Gao, Han Zhang, Aliakbar Panahi, Tomasz Arodz:
Combinatorial Losses through Generalized Gradients of Integer Linear Programs. - Alireza Rezvanifar, Tunai Porto Marques, Melissa Cote, Alexandra Branzan Albu, Alex L. Slonimer, Thomas Tolhurst, Kaan Ersahin, Todd Mudge, Stéphane Gauthier:
A Deep Learning-based Framework for the Detection of Schools of Herring in Echograms. - Emma Frejinger, Eric Larsen:
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty. - Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu:
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. - Scott Sievert, Zachary Charles:
Improving the convergence of SGD through adaptive batch sizes. - Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Xiaoshuai Sun, Wenxiu Sun:
Toward 3D Object Reconstruction from Stereo Images. - Nicholas O'Dell, Christopher Renton, Adrian Wills:
Learning Continuous Occupancy Maps with the Ising Process Model. - Amir Behrouzi-Far, Ezhan Karasan:
Dynamic Resource Allocation and Activity Management for Energy Efficiency and Fairness in Heterogeneous Networks. - Shahzad, Eun-Sung Jung:
FLIP: FLexible IoT Path Programming Framework for Large-scale IoT. - Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun:
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. - Xin Yao, Tianchi Huang, Rui-Xiao Zhang, Ruiyu Li, Lifeng Sun:
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating. - Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania:
Mirror Descent View for Neural Network Quantization. - Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo:
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling. - Lee Martie, Mohammad Arif Ul Alam, Gaoyuan Zhang, Ryan R. Anderson:
Reflecting After Learning for Understanding. - Duong N. Nguyen, Sandeep S. Kulkarni:
Benefits of Stabilization versus Rollback in Eventually Consistent Key-Value Stores. - Salvatore Vivona, Kaveh Hassani:
Relational Graph Representation Learning for Open-Domain Question Answering. - Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang:
AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection. - Tobia Marcucci, Russ Tedrake:
Warm Start of Mixed-Integer Programs for Model Predictive Control of Hybrid Systems. - Qingxia Liu, Gong Cheng, Kalpa Gunaratna, Yuzhong Qu:
Entity Summarization: State of the Art and Future Challenges. - Haotian Zhang, Gaoang Wang, Zhichao Lei, Jenq-Neng Hwang:
Eye in the Sky: Drone-Based Object Tracking and 3D Localization. - Sadaf Salehkalaibar, Michèle A. Wigger:
Distributed Hypothesis Testing with Variable-Length Coding. - Yisroel Mirsky, Benjamin Fedidat, Yoram Haddad:
Physical Layer Encryption using a Vernam Cipher. - Keifer Lee, Jun Jet Tai, Swee King Phang:
BOBBY2: Buffer Based Robust High-Speed Object Tracking. - Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba:
Learning Compositional Koopman Operators for Model-Based Control. - Cunsheng Ding, Chunming Tang:
Infinite families of near MDS codes holding t-designs. - Kangning Ma, Shuo Shao:
Secure Coded Caching with Colluding Users. - Manirupa Das, Zhen Wang, Evan Jaffe, Madhuja Chattopadhyay, Eric Fosler-Lussier, Rajiv Ramnath:
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation. - Sourya Basu, Daewon Seo, Lav R. Varshney:
Functional Epsilon Entropy. - Shunsuke Kanda, Yasuo Tabei:
b-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches. - Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori:
Point Process Flows. - Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu, Jingsong Yu:
Unsupervised Context Rewriting for Open Domain Conversation. - Muhammad Irfan Yousuf, Raheel Anwar:
Weighted Edge Sampling for Static Graphs. - Minne Li, Lisheng Wu, Haitham Bou-Ammar, Jun Wang:
Multi-View Reinforcement Learning. - Hehe Fan, Yi Yang:
PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing. - Xiao Sha, Zhu Sun, Jie Zhang:
Attentive Knowledge Graph Embedding for Personalized Recommendation. - Tiankui Zhang, Xinyuan Fang, Yuanwei Liu, Geoffrey Ye Li, Wenjun Xu:
D2D-Enabled Mobile User Edge Caching: A Multi-Winner Auction Approach. - Sagar Verma, Sukhad Anand, Chetan Arora, Atul Rai:
Diversity in Fashion Recommendation using Semantic Parsing. - Aaron W. Li, Veronica Jiang, Steven Y. Feng, Julia Sprague, Wei Zhou, Jesse Hoey:
Follow Alice into the Rabbit Hole: Giving Dialogue Agents Understanding of Human Level Attributes. - Elizabeth Jasmi George, Radhika Mamidi:
Towards Computing Inferences from English News Headlines. - Johan Lidén Eddeland, Koen Claessen, Nicholas Smallbone, Zahra Ramezani, Sajed Miremadi, Knut Åkesson:
Enhancing Temporal Logic Falsification with Specification Transformation and Valued Booleans. - Kejia Pan, Xianlin Jin, Dongdong He, Qifeng Zhang:
Optimal Pointwise Error Estimate for the Numerical solutions of Two-dimensional Space Fractional Nonlinear Schrödinger Equation. - Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Multimodal Image Super-resolution via Deep Unfolding with Side Information. - Feilong Zhang:
Data-Driven Model-Free Adaptive Predictive Control and its Stability Analysis. - Ville Hyvönen, Elias Jääsaari, Teemu Roos:
Supervised Learning Approach to Approximate Nearest Neighbor Search. - Noemi Montobbio, Laurent Bonnasse-Gahot, Giovanna Citti, Alessandro Sarti:
KerCNNs: biologically inspired lateral connections for classification of corrupted images. - Xintao Duan, Nao Liu:
Hide the Image in FC-DenseNets to another Image. - (Withdrawn) Automatic Data Augmentation by Learning the Deterministic Policy.
- Adélie Garin, Guillaume Tauzin:
A Topological "Reading" Lesson: Classification of MNIST using TDA. - Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson:
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. - Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling, Lei Yu, Zihang Dai, Dani Yogatama:
A Mutual Information Maximization Perspective of Language Representation Learning. - Niklas Kochdumper, Bastian Schürmann, Matthias Althoff:
Utilizing Dependencies to Obtain Subsets of Reachable Sets. - Alexander Mäcker, Friedhelm Meyer auf der Heide, Simon Pukrop:
Approximating Weighted Completion Time for Order Scheduling with Setup Times. - Taras Khakhulin, Roman Schutski, Ivan V. Oseledets:
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics. - Beomjun Kim, Jean Ponce, Bumsub Ham:
Deformable Kernel Networks for Joint Image Filtering. - Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. - Zhunxuan Wang, Zipei Wang, Qiqi Li, Hakan Bilen:
Image Deconvolution with Deep Image and Kernel Priors. - Maha Youssef, Gerd Baumann:
Weighted Lagrange Interpolation Using Orthogonal Polynomials: Stenger's Conjecture, Numerical Approach. - Theresa Scarnati, Anne Gelb:
Accelerated Variance Based Joint Sparsity Recovery of Images from Fourier Data. - Max Kontak, Jules Vidal, Julien Tierny:
Statistical Parameter Selection for Clustering Persistence Diagrams. - Marius Marian, Diana Berbecaru:
Support for public-key infrastructures in DNS. - Diana Berbecaru, Marius Marian:
A Practical Approach to expressing digitally signed documents. - Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud:
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. - Vitoriano Ruas:
Optimal-rate Lagrange and Hermite finite elements for Dirichlet problems in curved domains with straight-edged triangles. - Harshat Kumar, Alec Koppel, Alejandro Ribeiro:
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation. - Faramarz Khosravi, Alexander Raß, Jürgen Teich:
Efficient Computation of Probabilistic Dominance in Robust Multi-Objective Optimization. - Francisco Durán, Steven Eker, Santiago Escobar, Narciso Martí-Oliet, José Meseguer, Rubén Rubio, Carolyn L. Talcott:
Programming and Symbolic Computation in Maude. - Pierre Godard, Laurent Besacier, François Yvon:
Controlling Utterance Length in NMT-based Word Segmentation with Attention. - Duncan Eddy, Mykel J. Kochenderfer:
Markov Decision Processes For Multi-Objective Satellite Task Planning. - Jeffrey Cornelis, Nick Schenkels, Wim Vanroose:
Projected Newton Method for noise constrained Tikhonov regularization. - Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes:
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs. - Kin Gwn Lore, Kishore K. Reddy:
Implicit Context-aware Learning and Discovery for Streaming Data Analytics. - Houwang Zhang, Chong Wu, Le Zhang, Hanying Zheng:
A novel centroid update approach for clustering-based superpixel method and superpixel-based edge detection. - Pratik Gajane, Ronald Ortner, Peter Auer, Csaba Szepesvári:
Autonomous exploration for navigating in non-stationary CMPs. - Jurre Hanema, Mircea Lazar, Roland Tóth:
Heterogeneously parameterized tube model predictive control for LPV systems. - Ted Moskovitz, Rui Wang, Janice Lan, Sanyam Kapoor, Thomas Miconi, Jason Yosinski, Aditya Rawal:
First-Order Preconditioning via Hypergradient Descent. - Adrien Nivaggioli, Damien Rohmer:
Animation Synthesis Triggered by Vocal Mimics. - Dimitrios Sakkos, Hubert P. H. Shum, Edmond S. L. Ho:
Illumination-Based Data Augmentation for Robust Background Subtraction. - Jordan T. Ash, Ryan P. Adams:
On the Difficulty of Warm-Starting Neural Network Training. - Nino Vieillard, Olivier Pietquin, Matthieu Geist:
On Connections between Constrained Optimization and Reinforcement Learning. - Taro Sekiyama, Atsushi Igarashi:
Gradual Typing for Extensibility by Rows. - Ruth Fong, Mandela Patrick, Andrea Vedaldi:
Understanding Deep Networks via Extremal Perturbations and Smooth Masks. - Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou:
Concept Pointer Network for Abstractive Summarization. - Seok-Ju Hahn, Junghye Lee:
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data. - Xiao-ke Zhu, Qi Zhang, Ling Liu, Taining Cheng, Shaowen Yao, Wei Zhou, Jing He:
DLB: Deep Learning Based Load Balancing. - Filip Petrovic, David Strelák, Jana Hozzová, Jaroslav Olha, Richard Trembecký, Siegfried Benkner, Jiri Filipovic:
A Benchmark Set of Highly-efficient CUDA and OpenCL Kernels and its Dynamic Autotuning with Kernel Tuning Toolkit. - Florian Boyer, Jean-Luc Rouas:
End-to-End Speech Recognition: A review for the French Language. - Sam Buss, Anupam Das, Alexander Knop:
Proof complexity of systems of (non-deterministic) decision trees and branching programs. - Sarah Tymochko, Elizabeth Munch, Firas A. Khasawneh:
Adaptive Partitioning for Template Functions on Persistence Diagrams. - Jianyu Niu, Chen Feng, Hoang Dau, Yu-Chih Huang, Jingge Zhu:
Analysis of Nakamoto Consensus, Revisited. - Odysseas Kechagias-Stamatis, Nabil Aouf, Mark A. Richardson:
Single and Cross-Dimensional Feature Detection and Description: An Evaluation. - Shaohua Li, Marcin Pilipczuk, Manuel Sorge:
Cluster Editing parameterized above the size of a modification-disjoint P3 packing is para-NP-hard. - Jorge C. Lucero:
Pumping lemmas for classes of languages generated by folding systems. - Sam Ringer, Will Williams, Tom Ash, Remi Francis, David MacLeod:
Texture Bias Of CNNs Limits Few-Shot Classification Performance. - Timothy Overbye, Srikanth Saripalli:
Fast Local Planning and Mapping in Unknown Off-Road Terrain. - Michele Donini, Luca Franceschi, Massimiliano Pontil, Orchid Majumder, Paolo Frasconi:
Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm. - David Landsman, Huiting Ma, Jesse Knight, Kevin Gough, Sharmistha Mishra:
A flexible integer linear programming formulation for scheduling clinician on-call service in hospitals. - Ignavier Ng, Zhuangyan Fang, Shengyu Zhu, Zhitang Chen:
Masked Gradient-Based Causal Structure Learning. - Vivian Lai, Jon Z. Cai, Chenhao Tan:
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. - Maciej Paszynski:
Isogeometric analysis with piece-wise constant test functions. - Zirui Xu, Fuxun Yu, Xiang Chen:
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications. - Jun Zhou, Hua Huang, Bin Liu, Xiuping Liu:
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection. - Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold:
Semi-supervised Learning using Adversarial Training with Good and Bad Samples. - Émilie Charlier, Célia Cisternino, Adeline Massuir:
Minimal automaton for multiplying and translating the Thue-Morse set. - Himanshu Gupta, Dharanipragada Janakiram:
CDAG: A Serialized blockDAG for Permissioned Blockchain. - Achim Rettinger, Viktoria Bogdanova, Philipp Niemann:
Towards Learning Cross-Modal Perception-Trace Models. - Chao Tian, James S. Plank, Brent Hurst:
An Open-Source Toolbox for Computer-Aided Investigation on the Fundamental Limits of Information Systems, Version 0.1. - Titus Dose:
P-Optimal Proof Systems for Each Set in coNP and no Complete Problems in NP⋂coNP Relative to an Oracle. - Rachel Krohn, Tim Weninger:
Modelling Online Comment Threads from their Start. - Justus Hibshman, Satyaki Sikdar, Tim Weninger:
Towards Interpretable Graph Modeling with Vertex Replacement Grammars. - Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio:
Towards Quantifying Intrinsic Generalization of Deep ReLU Networks. - Paul Scherer, Helena Andrés-Terré, Pietro Liò, Mateja Jamnik:
Decoupling feature propagation from the design of graph auto-encoders. - Rajen Chatterjee:
Automatic Post-Editing for Machine Translation. - Brett Mullins:
Identifying the Most Explainable Classifier. - John Gastil, Todd Davies:
Digital Democracy: Episode IV - A New Hope, How a Corporation for Public Software Could Transform Digital Engagement for Government and Civil Society. - Marco Guarnieri, Marco Patrignani:
Exorcising Spectres with Secure Compilers. - Dinh Hieu Tran, Thang X. Vu, Symeon Chatzinotas, Shahram ShahbazPanahi, Björn E. Ottersten:
Trajectory Design for Energy Minimization in UAV-enabled Wireless Communications with Latency Constraints. - Tamás L. Horváth, Sander Rhebergen:
An exactly mass conserving space-time embedded-hybridized discontinuous Galerkin method for the Navier-Stokes equations on moving domains. - Lesia Mitridati, Pascal Van Hentenryck, Jalal Kazempour:
A Bid-Validity Mechanism for Sequential Heat and Electricity Market Clearing. - Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar:
A Saddle-Point Dynamical System Approach for Robust Deep Learning. - Petar D. Jackovich, Bruce A. Cox, Raymond R. Hill:
Comparing Greedy Constructive Heuristic Subtour Elimination Methods for the Traveling Salesman Problem. - Shaoyun Shi, Hanxiong Chen, Min Zhang, Yongfeng Zhang:
Neural Logic Networks. - Marco Patrignani, Riad S. Wahby, Robert Künnemann:
Universal Composability is Secure Compilation. - Li Yang, Abdallah Moubayed, Ismail Hamieh, Abdallah Shami:
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles. - Mandana Samiei, Tobias Würfl, Tristan Deleu, Martin Weiss, Francis Dutil, Thomas Fevens, Geneviève Boucher, Sébastien Lemieux, Joseph Paul Cohen:
The TCGA Meta-Dataset Clinical Benchmark. - Ashish Kumar, Toby Buckley, Qiaozhi Wang, Alicia Kavelaars, Ilya Kuzovkin:
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research. - Simran Kaur, Jeremy Cohen, Zachary C. Lipton:
Are Perceptually-Aligned Gradients a General Property of Robust Classifiers? - Braddock Gaskill:
The Bitwise Hashing Trick for Personalized Search. - Pavel Naumov, Jia Tao:
Blameworthiness in Security Games. - Isaac Polinsky, Kyle Martin, William Enck, Michael K. Reiter:
n-m-Variant Systems: Adversarial-Resistant Software Rejuvenation for Cloud-Based Web Applications. - Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh Bobba:
Toward Metrics for Differentiating Out-of-Distribution Sets. - Chao-Ping Lin, Huiqing Xie, Roger Grimes, Zhaojun Bai:
On the shift-invert Lanczos method for the buckling eigenvalue problem. - Tomasz Kornuta:
PyTorchPipe: a framework for rapid prototyping of pipelines combining language and vision. - Ren Hu, Qifeng Li:
Ensemble learning based linear power flow. - Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Temporal Network Sampling. - Kevin Hsieh:
Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data. - Abhishek Singh, Anubhav Garg, Jinan Zhou, Shiv Ram Dubey, Debo Dutta:
NASIB: Neural Architecture Search withIn Budget. - Arsalan Shahid, Muhammad Tayyab, Muhammad Yasir Qadri, Nadia N. Qadri, Jameel Ahmed:
Analytical models of Energy and Throughput for Caches in MPSoCs. - Feras A. Batarseh, Ajay Kulkarni:
Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation. - Atiye Alaeddini, Daniel J. Klein:
Optimal Immunization Policy Using Dynamic Programming. - Aline Bessa, Juliana Freire, Divesh Srivastava, Tamraparni Dasu:
Efficient Discovery of Meaningful Outlier Relationships. - Nazanin Takbiri, Xiaozhe Shao, Lixin Gao, Hossein Pishro-Nik:
Improving Privacy in Graphs Through Node Addition. - Qing Guo, Xiaofei Xie, Lei Ma, Zhongguo Li, Wei Feng, Yang Liu:
Spatial-aware Online Adversarial Perturbations Against Visual Object Tracking. - Elham Azari, Sarma B. K. Vrudhula:
ELSA: A Throughput-Optimized Design of an LSTM Accelerator for Energy-Constrained Devices. - Ran Tian, Shashi Narayan, Thibault Sellam, Ankur P. Parikh:
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation. - Deepali Aneja, Wilmot Li:
Real-Time Lip Sync for Live 2D Animation. - Yujin Choi, Seungjun Lee, Hee-Kap Ahn:
Maximum-Area Rectangles in a Simple Polygon. - Xiaofei Xu, Ke Deng, Fei Hu, Li Li:
An Improved Historical Embedding without Alignment. - Jinzhi Bu, David Simchi-Levi, Yunzong Xu:
Online Pricing with Offline Data: Phase Transition and Inverse Square Law. - Yuezun Li, Ao Luo, Siwei Lyu:
Fast Portrait Segmentation with extremely light-weight network. - Xin Shi, Robert C. Qiu:
Dimensionality Increment of PMU Data for Anomaly Detection in Low Observability Power Systems. - Ibrahim Jubran, Alaa Maalouf, Dan Feldman:
Introduction to Coresets: Accurate Coresets. - Shuai Zhao, Boxi Wu, Wenqing Chu, Yao Hu, Deng Cai:
Correlation Maximized Structural Similarity Loss for Semantic Segmentation. - Dale Miller, Ivan Scagnetto:
Proceedings of the Fourteenth Workshop on Logical Frameworks and Meta-Languages: Theory and Practice, LFMTP@LICS 2019, Vancouver, Canada, 22nd June 2019. EPTCS 307, 2019 [contents] - Sajjad Ali, Muhammad Aslam Jarwar, Ilyoung Chong:
Microservices based Framework to Support Interoperable IoT Applications for Enhanced Data Analytics. - Eunjin Oh, Hee-Kap Ahn:
Polygon Queries for Convex Hulls of Points. - Shuhua Gao, Changkai Sun, Cheng Xiang, Kairong Qin, Tong Heng Lee:
Infinite-Horizon Optimal Control of Switched Boolean Control Networks with Average Cost: An Efficient Graph-Theoretical Approach. - Hareesh Kumar, Priyanka Mary Mammen, Krithi Ramamritham:
Explainable AI: Deep Reinforcement Learning Agents for Residential Demand Side Cost Savings in Smart Grids. - Dmitry Kopitkov, Vadim Indelman:
Neural Spectrum Alignment. - Pingyang Wu, Jun Li, Long Shi, Ming Ding, Kui Cai, Fuli Yang:
Dynamic Content Update for Wireless Edge Caching via Deep Reinforcement Learning. - Henry H. Yu, Hao Sun, Ziwen Wang:
MixModule: Mixed CNN Kernel Module for Medical Image Segmentation. - Chao Sha, Chunhui Ren, Reza Malekian, Min Wu, Haiping Huang, Ning Ye:
A Type of Virtual Force based Energy-hole Mitigation Strategy for Sensor Networks. - Kranti Kumar Parida, Neeraj Matiyali, Tanaya Guha, Gaurav Sharma:
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos. - Xiao Han, Ruiqing Ding, Leye Wang, Hailiang Huang:
CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning. - Kurian Polachan, Joydeep Pal, Chandramani Singh, Prabhakar T. V:
Quality of Control Assessment for Tactile Internet based Cyber-Physical Systems. - Lakshmi Natarajan, Prasad Krishnan, V. Lalitha, Hoang Dau:
Locally Decodable Index Codes. - Min Jiang, Weizhen Hu, Liming Qiu, Minghui Shi, Kay Chen Tan:
Solving dynamic multi-objective optimization problems via support vector machine. - Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung:
Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. - Gyula Y. Katona, Kitti Varga:
Strengthening some complexity results on toughness of graphs. - Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan:
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning. - Sergey Surnov, Igor Bychkovskiy, Grigory Surnov, Sergey Krasnov:
Smart Monitoring: remote-monitoring technology of power, gas, and water consumption in Smart Cities. - Ratheesh Kalarot, Tao Li, Fatih Porikli:
Component Attention Guided Face Super-Resolution Network: CAGFace. - Christoph Matthies, Franziska Dobrigkeit:
Towards Empirically Validated Remedies for Scrum Retrospective Headaches. - Luis Cruz, Rui Abreu:
On the Energy Footprint of Mobile Testing Frameworks. - Hai Hu, Qi Chen, Kyle Richardson, Atreyee Mukherjee, Lawrence S. Moss, Sandra Kübler:
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity. - Vansh Dassani, Jon Bird, Dave Cliff:
Automated Composition of Picture-Synched Music Soundtracks for Movies. - Egor Rotinov:
Reverse Experience Replay. - Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng:
SpatialFlow: Bridging All Tasks for Panoptic Segmentation. - Ali Ahmed, Fahad Shamshad:
Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing. - Vivek S. Borkar, Alexandre Reiffers-Masson:
Opinion shaping in social networks using reinforcement learning. - Siddharth Mitra, Aditya Gopalan:
On Adaptivity in Information-constrained Online Learning. - Nicolas Carion, Gabriel Synnaeve, Alessandro Lazaric, Nicolas Usunier:
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning. - Benjamin Ramtoula, Ricardo de Azambuja, Giovanni Beltrame:
CAPRICORN: Communication Aware Place Recognition using Interpretable Constellations of Objects in Robot Networks. - Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning. - Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde:
Deep Parametric Indoor Lighting Estimation. - Tobias Damm, Heike Faßbender:
Simultaneous hollowisation, joint numerical range, and stabilization by noise. - Patricia Simon, Suchitra Krishnan-Sarin, Ting-Hao Kenneth Huang:
On Using Chatbots to Promote Smoking Cessation Among Adolescents of Low Socioeconomic Status. - Bryan Ford, Rainer Böhme:
Rationality is Self-Defeating in Permissionless Systems. - Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Hakan Bilen, Andrea Vedaldi:
NormGrad: Finding the Pixels that Matter for Training. - Mohammed Rayyan Sheriff, Debasish Chatterjee:
Dictionary Learning with Almost Sure Error Constraints. - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model. - Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni, Haimin Zhang, Rakesh Gosangi, Amanda Stent, Agniv Sharma, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann:
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings. - Neel Guha, Zhecheng Wang, Matt Wytock, Arun Majumdar:
Machine Learning for AC Optimal Power Flow. - Peng Liu, Xiaoxiao Zhou, Junyi Yang, Mohammad D. El Basha, Ruogu Fang:
Image Restoration Using Deep Regulated Convolutional Networks. - Brian Dolhansky, Russ Howes, Ben Pflaum, Nicole Baram, Cristian Canton-Ferrer:
The Deepfake Detection Challenge (DFDC) Preview Dataset. - Ivo Babuska, Robert Lipton, Paul Sinz, Michael Stuebner:
Multiscale-Spectral GFEM and Optimal Oversampling. - Di Xu, Tianhang Long, Junbin Gao:
LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering. - Yu Chen, Yuanyuan Yang, Yaochu Jin, Xiufen Zou:
Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method. - Yang Wang:
Deck.gl: Large-scale Web-based Visual Analytics Made Easy. - Mounia Hamidouche, Ejder Bastug, Jihong Park, Laura Cottatellucci, Mérouane Debbah:
Downlink Performance of Dense Antenna Deployment: To Distribute or Concentrate? - Yassmeen Elderhalli, Osman Hasan, Sofiène Tahar:
Integrating DFT and DRBD Formalizations in HOL4. - Maleknaz Nayebi, Bram Adams, Guenther Ruhe:
Release Practices for Mobile Apps-What do Users and Developers Think? - Huyen N. Nguyen, Tommy Dang:
EQSA: Earthquake Situational Analytics from Social Media. - Zhiguo Yang, Li-Lian Wang, Yang Gao:
A Truly Exact and Optimal Perfect Absorbing Layer for Time-harmonic Acoustic Wave Scattering Problems. - Wenbo Zhao, Rita Singh:
Speech-Based Parameter Estimation of an Asymmetric Vocal Fold Oscillation Model and Its Application in Discriminating Vocal Fold Pathologies. - Shu Wu, Mengqi Zhang, Xin Jiang, Ke Xu, Liang Wang:
Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation. - Carlo Zaniolo, Ariyam Das, Jiaqi Gu, Youfu Li, Mingda Li, Jin Wang:
Monotonic Properties of Completed Aggregates in Recursive Queries. - Anand Louis, Rakesh Venkat:
Planted Models for k-way Edge and Vertex Expansion. - Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng:
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks. - Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng:
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments. - M'Hammed Boulagouaz, Abdulaziz Deajim:
Matrix-Product Codes over Commutative Rings and Constructions Arising from (σ, δ)-Codes. - Abdulaziz Deajim, Mohamed Bouye:
On Self-Orthogonality and Self-Duality of Matrix-Product Codes over Commutative Rings. - Zelin Xiao, Hongxin Lin, Renjie Li, Hongyang Chao, Shengyong Ding:
Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis. - Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe:
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. - Anubhav Jain, Avdesh Kumar, Saumya Balodi, Pravesh Biyani:
Benchmark Dataset for Timetable Optimization of Bus Routes in the City of New Delhi. - Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao:
Self-Adaptive Network Pruning. - Stanislav Levin, Amiram Yehudai:
Visually Exploring Software Maintenance Activities. - Stanislav Levin, Amiram Yehudai:
Processing Large Datasets of Fined Grained Source Code Changes. - Shuai Yang, Wenqi Zhu, Yuesheng Zhu:
Sparse-Dense Subspace Clustering. - Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun:
Enhancing Recurrent Neural Networks with Sememes. - Yuhang Li, Xuejin Chen, Feng Wu, Zheng-Jun Zha:
LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network. - Tomer Kotek, Johann A. Makowsky:
The exact complexity of the Tutte polynomial. - Wenxiang Jiao, Michael R. Lyu, Irwin King:
PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition. - Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake:
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text. - Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki, Ryo Kuniyasu, Kaede Hayashi, Akira Taniguchi, Takato Horii, Takayuki Nagai:
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models. - Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer:
Sampling Strategies for Data-Driven Inference of Input-Output System Properties. - Jeremiah Blocki, Mike Cinkoske:
A New Connection Between Node and Edge Depth Robust Graphs. - Yimeng Min, S. Karthik Mukkavilli, Yoshua Bengio:
Predicting ice flow using machine learning. - Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao:
RLScheduler: Learn to Schedule HPC Batch Jobs Using Deep Reinforcement Learning. - Van Bach Nguyen, Belaid Mohamed Karim, Bao Long Vu, Jörg Schlötterer, Michael Granitzer:
Policy Learning for Malaria Control. - Vanita Jain, Piyush Agrawal, Subham Banga, Rishabh Kapoor, Shashwat Gulyani:
Sketch2Code: Transformation of Sketches to UI in Real-time Using Deep Neural Network. - Aleksandr Tynda, Denis N. Sidorov, Nikolai A. Sidorov:
Numeric solution of systems of nonlinear Volterra integral equations of the first kind with discontinuous kernels. - Leonardo A. Espinosa Leal, Magnus Westerlund, Anthony Chapman:
Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making - A Review. - Uli Fahrenberg, Axel Legay, Karin Quaas:
Computing Branching Distances Using Quantitative Games. - Wei Ren, Junlin Xiong:
Tracking Control of Nonlinear Networked and Quantized Control Systems with Communication Delays. - Guokun Chi, Min Jiang, Xing Gao, Weizhen Hu, Shihui Guo, Kay Chen Tan:
Online Bagging for Anytime Transfer Learning. - Yoan Dinkov, Ahmed Ali, Ivan Koychev, Preslav Nakov:
Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information. - Daniel Barry, Andrew Curtis-Black, Merel Keijsers, Munir Shah, Matthew Young, Humayun Khan, Banon Hopman:
Electric Sheep Team Description Paper Humanoid League Kid-Size 2019. - Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Benjamin Livshits:
BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices. - Zhiyang Dou, Shiqing Xin, Rui Xu, Jian Xu, Yuanfeng Zhou, Shuang-Min Chen, Wenping Wang, Xiuyang Zhao, Changhe Tu:
Top-Down Shape Abstraction Based on Greedy Pole Selection. - Christoph Benzmüller, David Fuenmayor:
Computer-supported Analysis of Positive Properties, Ultrafilters and Modal Collapse in Variants of Gödel's Ontological Argument. - Samuel Müller, Andreas Vlachos:
Byte-Pair Encoding for Text-to-SQL Generation. - Fabio Massimo Zennaro, Ke Chen:
Towards Further Understanding of Sparse Filtering via Information Bottleneck. - Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang:
Learning GANs and Ensembles Using Discrepancy. - Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu:
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). - Nan Lu, Tianyi Zhang, Gang Niu, Masashi Sugiyama:
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach. - Bai Li, Jing Yi Xie, Frank Rudzicz:
Representation Learning for Discovering Phonemic Tone Contours. - Lars Luthmann, Hendrik Göttmann, Malte Lochau:
Checking Timed Bisimulation with Bounded Zone-History Graphs - Technical Report. - Albert Berenguel Centeno, Oriol Ramos Terrades, Josep Lladós Canet, Cristina Cañero Morales:
Identity Document and banknote security forensics: a survey. - Jacob Holm, Eva Rotenberg:
Worst-Case Polylog Incremental SPQR-trees: Embeddings, Planarity, and Triconnectivity. - Yoad Zur, Michael Segal:
Improved solution to data gathering with mobile mule. - Maciej Besta, Emanuel Peter, Robert Gerstenberger, Marc Fischer, Michal Podstawski, Claude Barthels, Gustavo Alonso, Torsten Hoefler:
Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries. - Zehao Wang, Jingru Li, Xiaoou Chen, Zijin Li, Shicheng Zhang, Baoqiang Han, Deshun Yang:
Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example. - (Withdrawn) Diverse Behavior Is What Game AI Needs: Generating Varied Human-Like Playing Styles Using Evolutionary Multi-Objective Deep Reinforcement Learning.
- Jongmin Yu, Younkwan Lee, Moongu Jeon:
Boosting Network Weight Separability via Feed-Backward Reconstruction. - Arzhang Angoshtari, Ali Gerami Matin:
A Conformal Three-Field Formulation for Nonlinear Elasticity: From Differential Complexes to Mixed Finite Element Methods. - Diana Berbecaru, Antonio Lioy, Marius Marian, Diana Marano:
Secure Digital Administration in Medical Environment. - Richard Weinhold, Robert Mieth:
Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening. - Aude Genevay, Gabriel Dulac-Arnold, Jean-Philippe Vert:
Differentiable Deep Clustering with Cluster Size Constraints. - Eli Chien, Pan Li, Olgica Milenkovic:
Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. - Ülkü Meteriz, Necip Fazil Yildiran, Aziz Mohaisen:
You Can Run, But You Cannot Hide: Using Elevation Profiles to Breach Location Privacy through Trajectory Prediction. - Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière:
Learning from both experts and data. - Kabir Abdulmajeed:
Autonomous Control of a Quadrotor-Manipulator; Application of Extended State Disturbance Observer. - Fatih Furkan Yilmaz, Reinhard Heckel:
Leveraging inductive bias of neural networks for learning without explicit human annotations. - Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Günes Baydin, Bradley Gram-Hansen, Christian Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood:
Amortized Rejection Sampling in Universal Probabilistic Programming. - Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin:
An Optimal Transport Framework for Zero-Shot Learning. - Mikolaj Kegler, Pierre Beckmann, Milos Cernak:
Deep speech inpainting of time-frequency masks. - Jiawei Huang, Nan Jiang:
From Importance Sampling to Doubly Robust Policy Gradient. - Alexander Weigl, Mattias Ulbrich, Suhyun Cha, Bernhard Beckert, Birgit Vogel-Heuser:
Relational Test Tables: A Practical Specification Language for Evolution and Security. - Emre Aksan, Manuel Kaufmann, Otmar Hilliges:
Structured Prediction Helps 3D Human Motion Modelling. - Vrunda Dave, Taylor Dohmen, Shankara Narayanan Krishna, Ashutosh Trivedi:
MSO-Definable Regular Model Checking. - Tatiane Lautert, Adolfo Gustavo Serra Seca Neto, Nádia P. Kozievitch:
A survey on agile practices and challenges of a global software development team. - Mohamed Chaabane, Ameni Trabelsi, Nathaniel Blanchard, J. Ross Beveridge:
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction. - Irene M. Gamba, Shi Jin, Liu Liu:
Error estimate of a bi-fidelity method for kinetic equations with random parameters and multiple scales. - Shavkat Alimov, Joseph David, Alexander Nolte, Julie Sherman:
An Application of Abel's Method to the Inverse Radon Transform. - Jindong Gu, Volker Tresp:
Semantics for Global and Local Interpretation of Deep Neural Networks. - Jindong Gu, Volker Tresp:
Contextual Prediction Difference Analysis. - Dianming Hou, Hongyi Zhu, Chuanju Xu:
Highly efficient and accurate schemes for time fractional Allen-Cahn equation by using extended SAV approach. - Akshayaa Magesh, Venugopal V. Veeravalli:
Multi-player Multi-Armed Bandits with non-zero rewards on collisions for uncoordinated spectrum access. - Jinwei Zhao, Qizhou Wang, Fuqiang Zhang, Wanli Qiu, Yufei Wang, Yu Liu, Guo Xie, Weigang Ma, Bin Wang, Xinhong Hei:
A game method for improving the interpretability of convolution neural network. - Akshayaa Magesh, Venugopal V. Veeravalli:
Multi-User MABs with User Dependent Rewards for Uncoordinated Spectrum Access. - Dimitris Bertsimas, Michael Lingzhi Li:
Fast Exact Matrix Completion: A Unifying Optimization Framework. - Benjamin Petit, Loren Amdahl-Culleton, Yao Liu, Jimmy Smith, Pierre-Luc Bacon:
All-Action Policy Gradient Methods: A Numerical Integration Approach. - Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal:
Self-supervised classification of dynamic obstacles using the temporal information provided by videos. - Inas S. Khayal, Amro M. Farid:
A Dynamic System Model for Personalized Healthcare Delivery and Managed Individual Health Outcomes. - Jongmin Yu:
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning. - Paul Soulos, Tom McCoy, Tal Linzen, Paul Smolensky:
Discovering the Compositional Structure of Vector Representations with Role Learning Networks. - Vladimir Vargas-Calderón, Marlon Steibeck Dominguez, Nicolás Parra-A., Herbert Vinck-Posada, Jorge E. Camargo:
Using machine learning and information visualisation for discovering latent topics in Twitter news. - Jiaming Song, Yang Song, Stefano Ermon:
Unsupervised Out-of-Distribution Detection with Batch Normalization. - Maximiliano Cristiá, Gianfranco Rossi:
Automated Reasoning with Restricted Intensional Sets. - Fei Deng, Zhuo Zhi, Sungjin Ahn:
Generative Hierarchical Models for Parts, Objects, and Scenes. - Chris Cannella, Jie Ding, Mohammadreza Soltani, Vahid Tarokh:
Perception-Distortion Trade-off with Restricted Boltzmann Machines. - Pinky Sitikhu, Kritish Pahi, Pujan Thapa, Subarna Shakya:
A Comparison of Semantic Similarity Methods for Maximum Human Interpretability. - Zhenwei Dai, Anshumali Shrivastava:
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier. - Yiju Ma, Kevin Swandi, Archie C. Chapman, Gregor Verbic:
Multi-Stage Compound Real Options Valuation in Residential PV-Battery Investment. - Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang:
Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient. - Qian Yang:
Two Case Studies of Experience Prototyping Machine Learning Systems in the Wild. - Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal:
DwNet: Dense warp-based network for pose-guided human video generation. - Matthew R. Kirchner, João P. Hespanha, Denis Garagic:
Heterogeneous Measurement Selection for Vehicle Tracking using Submodular Optimization. - Ilyès Mezghani, Sidhant Misra, Deepjyoti Deka:
Stochastic AC Optimal Power Flow: A Data-Driven Approach. - Gang Chen:
A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. - Dhruv Agarwal, Srinivasan Iyengar, Manohar Swaminathan:
Modulo: Drive-by Sensing at City-scale on the Cheap. - S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai:
Implementation of a modified Nesterov's Accelerated quasi-Newton Method on Tensorflow. - Thilini Bhagya, Jens Dietrich, Hans W. Guesgen:
Generating Mock Skeletons for Lightweight Web-Service Testing. - Ambroise Lafont:
Signatures and models for syntax and operational semantics in the presence of variable binding. - Xingyu Liu, Mengyuan Yan, Jeannette Bohg:
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. - Kai Bai, Wei Li, Mathieu Desbrun, Xiaopei Liu:
Dynamic Upsampling of Smoke through Dictionary-based Learning. - Pritam Anand, Reshma Rastogi, Suresh Chandra:
A ν-support vector quantile regression model with automatic accuracy control. - Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. - Huy T. Nguyen, Nguyen Cong Luong, Jun Zhao, Chau Yuen, Dusit Niyato:
Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach. - Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui:
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. - Shen Chen, Liujuan Cao, Mingbao Lin, Yan Wang, Xiaoshuai Sun, Chenglin Wu, Jingfei Qiu, Rongrong Ji:
Hadamard Codebook Based Deep Hashing. - Yingxue Zhang, Ping Jian, Fandong Meng, Ruiying Geng, Wei Cheng, Jie Zhou:
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification. - Shiyue He, Wei Wang, Hang Yang, Yang Cao, Tao Jiang, Qian Zhang:
State-Aware Rate Adaptation for UAVs by Incorporating On-Board Sensors. - Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell:
Transferable Recognition-Aware Image Processing. - Jialiang Zhang, Lixiang Lin, Yun-chen Chen, Yao Hu, Steven C. H. Hoi, Jianke Zhu:
CSID: Center, Scale, Identity and Density-aware Pedestrian Detection in a Crowd. - Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell:
Regularization Matters in Policy Optimization. - Hui-Ming Wang, Yan Zhang, Xu Zhang, Zhetao Li:
Secrecy and Covert Communications against UAV Surveillance via Multi-Hop Networks. - Alex Viguerie, Silvia Bertoluzza, Ferdinando Auricchio:
A Fat boundary-type method for localized nonhomogeneous material problems. - Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani:
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors. - Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis:
Decoupling Representation and Classifier for Long-Tailed Recognition. - Philip Brandner, Arnold Reusken:
Finite Element Error Analysis of Surface Stokes Equations in Stream Function Formulation. - Umberto Biccari, Noboru Sakamoto, Eneko Unamuno, Danel Madariaga, Enrique Zuazua, Jon Andoni Barrena:
Model Reduction of Converter-Dominated Power Systems by Singular Perturbation Theory. - Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian:
Aggregated Gradient Langevin Dynamics. - Arpita Dutta, Samit Biswas:
CNN based Extraction of Panels/Characters from Bengali Comic Book Page Images. - Genqiang Wu:
Constructing Privacy Channels from Information Channels. - Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Recovering Localized Adversarial Attacks. - Andres Ferraro, Kjell Lemström:
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns. - Jiabo Huang, Xiaohua Xie, Wei-Shi Zheng:
Batch Face Alignment using a Low-rank GAN. - Federico Cabitza, Andrea Campagner:
Who wants accurate models? Arguing for a different metrics to take classification models seriously. - António Malheiro, Paulo Guilherme Santos:
A Note on a Unifying Proof of the Undecidability of Several Diagrammatic Properties of Term Rewriting Systems. - Gaurav Singh, Zahra Sabet, John Shawe-Taylor, James Thomas:
Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation. - Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou:
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. - Petr Kuznetsov, Thibault Rieutord, Sara Tucci Piergiovanni:
Reconfigurable Lattice Agreement and Applications. - Emad M. Grais, Fei Zhao, Mark D. Plumbley:
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation. - Wen Zhang, Dengji Zhao, Yao Zhang:
Incentivize Diffusion with Fair Rewards on Networks. - Maurantonio Caprolu, Simone Raponi, Gabriele Oligeri, Roberto Di Pietro:
Crypto Mining Makes Noise. - Won-Ik Cho, Jeonghwa Cho, Woo Hyun Kang, Nam Soo Kim:
Disambiguating Speech Intention via Audio-Text Co-attention Framework: A Case of Prosody-semantics Interface. - Ezra Tampubolon, Holger Boche:
Semi-Decentralized Coordinated Online Learning for Continuous Games with Coupled Constraints via Augmented Lagrangian. - Zhi Zhang, Yueqiang Cheng:
PiBooster: A Light-Weight Approach to Performance Improvements in Page Table Management for Paravirtual Virtual-Machines. - Joshua Hare:
Dealing with Sparse Rewards in Reinforcement Learning. - Ruqian Lu, Shengluan Hou:
On Semi-Supervised Multiple Representation Behavior Learning. - Yang Qu, Ming-Xi Wang:
Approximation capabilities of neural networks on unbounded domains. - Jan Christian Blaise Cruz, Julianne Agatha Tan, Charibeth Cheng:
Localization of Fake News Detection via Multitask Transfer Learning. - Kai Jiang, Shifeng Li, Juan Zhang:
A modified Hermitian and skew-Hermitian preconditioner for the Ohta-Kawasaki equation. - Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan:
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. - Richard C. Barnard, Kai Huang, Cory D. Hauck:
A mathematical model of asynchronous data flow in parallel computers. - Xueting Wang, Yiwei Zhang, Toshihiko Yamasaki:
User-Aware Folk Popularity Rank: User-Popularity-Based Tag Recommendation That Can Enhance Social Popularity. - Yinan Yu, Tomas McKelvey:
Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel - Metric Learning for Classification. - Giuseppe Giacopelli:
Studying Topology of Time Lines Graph leads to an alternative approach to the Newcomb's Paradox. - Kayode E. Adetunji, Ivan W. Hofsajer, Ling Cheng:
Trends in the optimal location and sizing of electrical units in smart grids using meta-heuristic algorithms. - Tobias Weber, Dieter Kranzlmüller, Michael Fromm, Nelson Tavares de Sousa:
Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research. - Ezra Tampubolon, Holger Boche:
Pricing Mechanism for Resource Sustainability in Competitive Online Learning Multi-Agent Systems. - Mohammadali Hedayat, Iman Borazjani:
A parallel dynamic overset grid framework for immersed boundary methods. - Ke Zhan, Shimiao Jiang, Yu Bai, Yi Li, Xu Liu, Zhuoran Xu:
Directed-Weighting Group Lasso for Eltwise Blocked CNN Pruning. - Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist:
Momentum in Reinforcement Learning. - Shenghao Qin, Jiacheng Zhu, Jimmy Qin, Wenshuo Wang, Ding Zhao:
Recurrent Attentive Neural Process for Sequential Data. - Nupoor Gandhi, Alex Morales, Dolores Albarracin:
Multi-dimensional Features for Prediction with Tweets. - Alexander Yu. Chunikhin:
On Concept of Creative Petri Nets. - Michele Chiari, Dino Mandrioli, Matteo Pradella:
POTL: A First-Order Complete Temporal Logic for Operator Precedence Languages. - Alexandra Gessner, Oindrila Kanjilal, Philipp Hennig:
Integrals over Gaussians under Linear Domain Constraints. - Nikolaos Stylianou, Ioannis P. Vlahavas:
A Neural Entity Coreference Resolution Review. - Wen Zhang, Dengji Zhao, Hanyu Chen:
Redistribution Mechanism Design on Networks. - The Lean mathematical library.
- Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani:
A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. - Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli:
An Alternative Surrogate Loss for PGD-based Adversarial Testing. - Samuel Huang, Rance Cleaveland:
A Tableau Construction for Finite Linear-Time Temporal Logic. - Mohammad Saberian, Pablo Delgado, Yves Raimond:
Gradient Boosted Decision Tree Neural Network. - Seanie Lee, Donggyu Kim, Jangwon Park:
Domain-agnostic Question-Answering with Adversarial Training. - Asif J. Chowdhury, Gabriel Terejanu:
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes. - Ming Chuan Yang, Meng Chang Chen:
Theoretical Investigation of Composite Neural Network. - Ramya Akula, Ni Nguyen, Ivan Garibay:
Supervised Machine Learning based Ensemble Model for Accurate Prediction of Type 2 Diabetes. - Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes:
Task-Based Learning via Task-Oriented Prediction Network. - Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski:
Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach. - Samuel Scheidegger, Yinan Yu, Tomas McKelvey:
Separable Convolutional Eigen-Filters (SCEF): Building Efficient CNNs Using Redundancy Analysis. - Wenxiang Jiao, Irwin King, Michael R. Lyu:
Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling. - Y. Wu, Eric Li, Z. C. He, X. Y. Lin, H. X. Jiang:
Robust concurrent topology optimization of structure and its composite material considering uncertainty with imprecise probability. - Youssef Mourchid, Benjamin Renoust, Olivier Roupin, Le Van, Hocine Cherifi, Mohammed El Hassouni:
Movienet: A Movie Multilayer Network Model using Visual and Textual Semantic Cues. - Feng Shi, James Evans:
Science and Technology Advance through Surprise. - Jean-Ferdy Susini, Olivier Pons, Nolwenn Guedin, Catherine Thevenot:
Danse-doigts, a Fine Motor Game. - Sarath Shekkizhar, Antonio Ortega:
Graph Construction from Data using Non Negative Kernel regression (NNK Graphs). - Konstantinos Drossos, Samuel Lipping, Tuomas Virtanen:
Clotho: An Audio Captioning Dataset. - Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
An Unbiased Risk Estimator for Learning with Augmented Classes. - Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang:
Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. - Martin Pawelczyk, Johannes Haug, Klaus Broelemann, Gjergji Kasneci:
Towards User Empowerment. - Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu:
A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis. - Jirí Adámek, Stefan Milius, Lawrence S. Moss:
On Well-Founded and Recursive Coalgebras. - Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma:
Interpreting Basis Path Set in Neural Networks. - Colin Urquhart, Xavier J. A. Bellekens, Christos Tachtatzis, Robert C. Atkinson, Hanan Hindy, Amar Seeam:
Cyber-Security Internals of a Skoda Octavia vRS: A Hands on Approach. - Amir Emad Marvasti, Ehsan Emad Marvasti, Hassan Foroosh:
Maximum Probability Principle and Black-Box Priors. - Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard:
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. - Tarin Clanuwat, Alex Lamb, Asanobu Kitamoto:
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning. - Arne Traue, Gerrit Book, Wilhelm Kirchgässner, Oliver Wallscheid:
Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. - M. Tahar Kechadi, Kok Seng Low, Gilles Goncalves:
Recurrent neural network approach for cyclic job shop scheduling problem. - Qingyang Tan, Tingxiang Fan, Jia Pan, Dinesh Manocha:
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance. - Daniel Tang:
Data assimilation in Agent-based models using creation and annihilation operators. - Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Tracking MPC for Changing Setpoints. - Hyeonwoo Yu, Beomhee Lee:
Zero-shot Learning via Simultaneous Generating and Learning. - Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth:
Improving Style Transfer with Calibrated Metrics. - Estephe Arnaud, Arnaud Dapogny, Kevin Bailly:
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment. - Geoffrey Cideron, Mathieu Seurin, Florian Strub, Olivier Pietquin:
Self-Educated Language Agent With Hindsight Experience Replay For Instruction Following. - Fahad Islam, Anirudh Vemula, Sung-Kyun Kim, Andrew Dornbush, Oren Salzman, Maxim Likhachev:
Planning, Learning and Reasoning Framework for Robot Truck Unloading. - Yihui He, Jianing Qian, Jianren Wang:
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks. - Eyke Hüllermeier, Willem Waegeman:
Aleatoric and Epistemic Uncertainty in Machine Learning: A Tutorial Introduction. - Geoffrey Roman-Jimenez, Patrice Guyot, Thierry Malon, Sylvie Chambon, Vincent Charvillat, Alain Crouzil, André Péninou, Julien Pinquier, Florence Sèdes, Christine Sénac:
Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics Comparison and Track-to-track Extension. - Daniel van Huyssteen, Batmanathan Dayanand Reddy:
A virtual element method for isotropic hyperelasticity. - Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh:
Learning to Learn by Zeroth-Order Oracle. - Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi:
Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD. - Enrique Sanchez, Georgios Tzimiropoulos:
Object landmark discovery through unsupervised adaptation. - Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori:
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation. - Rae Jeong, Jackie Kay, Francesco Romano, Thomas Lampe, Thomas Rothörl, Abbas Abdolmaleki, Tom Erez, Yuval Tassa, Francesco Nori:
Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer. - Francesco Calimeri, Francesco Cauteruccio, Luca Cinelli, Aldo Marzullo, Claudio Stamile, Giorgio Terracina, Françoise Durand-Dubief, Dominique Sappey-Marinier:
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. - Romain Bourqui, Romain Giot, David Auber:
Toward automatic comparison of visualization techniques: Application to graph visualization. - Vitalii Roman'kov:
Cryptanalysis of two schemes of Baba et al. by linear algebra methods. - Sebastian Nugroho, Ahmad F. Taha, Junjian Qi:
Robust Dynamic State Estimation of Synchronous Machines with Asymptotic State Estimation Error Performance Guarantees. - Saeed Reza Kheradpisheh, Timothée Masquelier:
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron. - Hugo Caracalla, Axel Roebel:
Sound texture synthesis using RI spectrograms. - Dongge Han, Wendelin Boehmer, Michael J. Wooldridge, Alex Rogers:
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination. - Tereza Novotná, Jakub Harasta:
The Czech Court Decisions Corpus (CzCDC): Availability as the First Step. - Alejandro Cohen, Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Médard:
Distributed Quantization for Sparse Time Sequences. - Yanjun Wang, Jinwei Liu, Dalin Zhang, Xiaokang Qiu:
Reasoning About Recursive Tree Traversals. - Naser Damer, Fadi Boutros, Khawla Mallat, Florian Kirchbuchner, Jean-Luc Dugelay, Arjan Kuijper:
Cascaded Generation of High-quality Color Visible Face Images from Thermal Captures. - Mikulas Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche, Adam Trischler:
Building Dynamic Knowledge Graphs from Text-based Games. - Kumar Bhargav Srinivasan, Cristian Danescu-Niculescu-Mizil, Lillian Lee, Chenhao Tan:
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community. - David Madras, James Atwood, Alex D'Amour:
Detecting Extrapolation with Local Ensembles. - Zhe Dong, Deniz Oktay, Ben Poole, Alexander A. Alemi:
On Predictive Information Sub-optimality of RNNs. - Steven W. T. Cheung, Dan R. Ghica, Koko Muroya:
Transparent Synchronous Dataflow. - Marco Vassena, Marco Patrignani:
Memory Safety Preservation for WebAssembly. - Zhe Dong, Bryan A. Seybold, Kevin P. Murphy, Hung H. Bui:
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems. - Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis:
GraphSAC: Detecting anomalies in large-scale graphs. - Vassilis N. Ioannidis, Georgios B. Giannakis:
Edge Dithering for Robust Adaptive Graph Convolutional Networks. - Michele Mosca, João Marcos Vensi Basso, Sebastian R. Verschoor:
On speeding up factoring with quantum SAT solvers. - Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence. - Steven Wei Der Chien, Ivy Bo Peng, Stefano Markidis:
Performance Evaluation of Advanced Features in CUDA Unified Memory. - Johannes Müller:
Universal flow approximation with deep residual networks. - Martin Zubeldia:
Delay-optimal policies in partial fork-join systems with redundancy and random slowdowns. - Jesse Bartels, Jon Stephens, Saumya Debray:
Representing and Reasoning about Dynamic Code. - Yongshuai Liu, Jiaxin Ding, Xin Liu:
IPO: Interior-point Policy Optimization under Constraints. - Siddharth Roheda, Hamid Krim:
Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. - Yunkai Zhang, Qiao Jiang, Shurui Li, Xiaoyong Jin, Xueying Ma, Xifeng Yan:
You May Not Need Order in Time Series Forecasting. - Ting-Hao Kenneth Huang:
On Automating Conversations. - Abhishek Panigrahi, Raghav Somani, Navin Goyal, Praneeth Netrapalli:
Non-Gaussianity of Stochastic Gradient Noise. - Romain Péchoux, Simon Perdrix, Mathys Rennela, Vladimir Zamdzhiev:
Quantum Programming with Inductive Datatypes: Causality and Affine Type Theory. - Karin de Langis, Junaed Sattar:
Real-Time Multi-Diver Tracking and Re-identification for Underwater Human-Robot Collaboration. - Hammad A. Ayyubi:
GANspection. - Rafael Henrique Vareto, Araceli Marcia Saldanha, William Robson Schwartz:
The SWAX Benchmark: Attacking Biometric Systems with Wax Figures. - Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
CPWC: Contextual Point Wise Convolution for Object Recognition. - Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray:
ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance. - Harald Steck:
Markov Random Fields for Collaborative Filtering. - Max A. Little, Reham Badawy:
Causal bootstrapping. - Amanda Bienz, Luke N. Olson, William D. Gropp:
Node-Aware Improvements to Allreduce. - Francesco Gringoli, Douglas J. Leith:
Regulating Queueing Delay in 802.11ac WLANs: Nonlinear Controller Analysis and Design. - Fernando Gama, Joan Bruna, Alejandro Ribeiro:
Stability of Graph Neural Networks to Relative Perturbations. - Gege Wen, Meng Tang, Sally M. Benson:
Multiphase flow prediction with deep neural networks. - Damian Owerko, Fernando Gama, Alejandro Ribeiro:
Optimal Power Flow Using Graph Neural Networks. - Valts Blukis, Yannick Terme, Eyvind Niklasson, Ross A. Knepper, Yoav Artzi:
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight. - Guillaume Bellegarda, Katie Byl:
Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning. - Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork:
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking. - Chathika Gunaratne, Nisha Baral, William Rand, Ivan Garibay, Chathura Jayalath, Chathurani Senevirathna:
A Theory of Extended Working Memory and its Role in Online Conversation Dynamics. - Shengye Wang, Li Wan, Yang Yu, Ignacio López-Moreno:
Signal Combination for Language Identification. - Benson Chen, Tianxiao Shen, Tommi S. Jaakkola, Regina Barzilay:
Learning to Make Generalizable and Diverse Predictions for Retrosynthesis. - Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, Thomas Dandres:
Quantifying the Carbon Emissions of Machine Learning. - Tariq Alhindi, Jonas Pfeiffer, Smaranda Muresan:
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels. - Vamsi K. Amalladinne, Jean-François Chamberland, Krishna R. Narayanan:
An enhanced decoding algorithm for coded compressed sensing. - Jimin Tan, Anastasios Noulas, Diego Sáez, Rossano Schifanella:
Notable Site Recognition on Mobile Devices using Deep Learning with Crowd-sourced Imagery. - Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang:
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification. - Simon Le Cleac'h, Mac Schwager, Zachary Manchester:
ALGAMES: A Fast Solver for Constrained Dynamic Games. - Yonatan Gur, Ahmadreza Momeni, Stefan Wager:
Smoothness-Adaptive Stochastic Bandits. - Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune:
A deep active learning system for species identification and counting in camera trap images. - Panayu Keelawat, Nattapong Thammasan, Masayuki Numao, Boonserm Kijsirikul:
Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening. - Samuel Allen Alexander:
Intelligence via ultrafilters: structural properties of some intelligence comparators of deterministic Legg-Hutter agents. - Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon:
Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework. - Melanie Bancilhon, Zhengliang Liu, Alvitta Ottley:
Let's Gamble: Uncovering the Impact of Visualization on Risk Perception and Decision-Making. - Youngmoon Lee, Hassan Al Maruf, Mosharaf Chowdhury, Kang G. Shin:
Mitigating the Performance-Efficiency Tradeoff in Resilient Memory Disaggregation. - Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng:
Convolutional Prototype Learning for Zero-Shot Recognition. - Katharina Kann:
Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity. - Xiang Wang, Tie Liu:
Multiple Sample Clustering. - Xinjie Lan, Kenneth E. Barner:
Explicitly Bayesian Regularizations in Deep Learning. - Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng:
Single Versus Union: Non-parallel Support Vector Machine Frameworks. - Ming Chuan Yang, Meng Chang Chen:
Composite Neural Network: Theory and Application to PM2.5 Prediction. - Jinyin Chen, Yixian Chen, Lihong Chen, Minghao Zhao, Qi Xuan:
Multiscale Evolutionary Perturbation Attack on Community Detection. - Paul Krogmeier, Umang Mathur, Adithya Murali, P. Madhusudan, Mahesh Viswanathan:
Decidable Synthesis of Programs with Uninterpreted Functions. - Wen-Yu Chang, Tsung-Nan Lin:
Vanishing Nodes: Another Phenomenon That Makes Training Deep Neural Networks Difficult. - Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen:
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension. - Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo:
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection. - Yash Pote, Saurabh Joshi, Kuldeep S. Meel:
Phase Transition Behavior of Cardinality and XOR Constraints. - Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak:
Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters. - Zhongliang Yang, Yuting Hu, Yongfeng Huang, Yujin Zhang:
Behavioral Security in Covert Communication Systems. - Weiguo Zheng, Mei Zhang:
Question Answering over Knowledge Graphs via Structural Query Patterns. - Shaoze You, Hua Zhu, Menggang Li, Yutan Li:
A Review of Visual Trackers and Analysis of its Application to Mobile Robot. - Thomas Merkh, Guido Montúfar:
Stochastic Feedforward Neural Networks: Universal Approximation. - Daniël Reißner, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Dirk Fahland, Marcello La Rosa:
Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components. - Qiulei Dong, Jiayin Sun, Zhanyi Hu:
Face representation by deep learning: a linear encoding in a parameter space? - Yihui Han, Huangxin Chen, Xiao-Ping Wang, Xiaoping Xie:
Extended HDG methods for second order elliptic interface problems. - Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole:
Weakly Supervised Disentanglement with Guarantees. - Ivan Homoliak, Sarad Venugopalan, Qingze Hum, Daniël Reijsbergen, Richard Schumi, Pawel Szalachowski:
The Security Reference Architecture for Blockchains: Towards a Standardized Model for Studying Vulnerabilities, Threats, and Defenses. - Peike Li, Yunqiu Xu, Yunchao Wei, Yi Yang:
Self-Correction for Human Parsing. - Hye-jin Shim, Hee-Soo Heo, Jee-weon Jung, Ha-Jin Yu:
Self-supervised pre-training with acoustic configurations for replay spoofing detection. - Jiaming Song, Stefano Ermon:
Bridging the Gap Between $f$-GANs and Wasserstein GANs. - Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Paul T. Tarr, Tsang Ing Ren, Elliot M. Meyerowitz, Alexandre Cunha:
J Regularization Improves Imbalanced Multiclass Segmentation. - Yackolley Amoussou-Guenou, Antonella Del Pozzo, Maria Potop-Butucaru, Sara Tucci Piergiovanni:
On Fairness in Committee-based Blockchains. - Congcong Miao, Jilong Wang, Shuying Zhuang, Changqing An:
A Coordinated View of Cyberspace. - Ei Ando:
The Distribution Function of the Longest Path Length in Constant Treewidth DAGs with Random Edge Length. - Jisoo Lee, Sae-Young Chung:
Robust Training with Ensemble Consensus. - Jobish John, Gaurav S. Kasbekar, Maryam Shojaei Baghini:
Maximum Lifetime Convergecast Tree in Wireless Sensor Networks. - Zhenghao Liu, Chenyan Xiong, Maosong Sun:
Kernel Graph Attention Network for Fact Verification. - Shruti Jadon, Aditya Acrot Srinivasan:
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functions. - Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer:
Transformer-based Acoustic Modeling for Hybrid Speech Recognition. - Slawomir Konrad Tadeja, Pranay Seshadri, Per Ola Kristensson:
AeroVR: Immersive Visualization System for Aerospace Design. - Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis:
Two-Step Sound Source Separation: Training on Learned Latent Targets. - Andrés Ussa, Luca Della Vedova, Vandana Reddy Padala, Deepak Singla, Jyotibdha Acharya, Charles Zhang Lei, Garrick Orchard, Arindam Basu, Bharath Ramesh:
A low-power end-to-end hybrid neuromorphic framework for surveillance applications. - Jordan Holweger, Lionel Bloch, Christophe Ballif, Nicolas Wyrsch:
Mitigating the impact of distributed PV in a low-voltage grid using electricity tariffs. - Lorenzo Gigoni, Alessandro Betti, Mauro Tucci, Emanuele Crisostomi:
A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data. - Moritz Baum, Julian Dibbelt, Andreas Gemsa, Dorothea Wagner, Tobias Zündorf:
Shortest Feasible Paths with Charging Stops for Battery Electric Vehicles. - Jobish John, Gaurav S. Kasbekar, Dinesh Kumar Sharma, V. Ramulu, Maryam Shojaei Baghini:
Design and Implementation of a Wireless SensorNetwork for Agricultural Applications. - Dan Peng, Zizhan Zheng, Linhao Luo, Xiaofeng Zhang:
Structure Matters: Towards Generating Transferable Adversarial Images. - Saurabh Kumar Katiyar:
Bicubic partially blended rational quartic surface. - Thijs van de Laar, Ayça Özçelikkale, Henk Wymeersch:
Application of the Free Energy Principle to Estimation and Control. - Luca Heltai, Wolfgang Bangerth, Martin Kronbichler, Andrea Mola:
Using exact geometry information in finite element computations. - Thomas Neele, Antti Valmari, Tim A. C. Willemse:
The Inconsistent Labelling Problem of Stutter-Preserving Partial-Order Reduction. - Yuanxin Zhu, Zhao Yang, Li Wang, Sai Zhao, Xiao Hu, Dapeng Tao:
Hetero-Center Loss for Cross-Modality Person Re-Identification. - Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin:
Towards best practice in explaining neural network decisions with LRP. - Firuz Kamalov:
Orthogonal variance decomposition based feature selection. - Pablo Ramírez-Espinosa, R. José Sánchez-Alarcón, Francisco Javier López-Martínez:
On the Beneficial Role of a Finite Number of Scatterers for Wireless Physical Layer Security. - Nuri Mert Vural, Suleyman Serdar Kozat:
An Efficient EKF Based Algorithm For LSTM-Based Online Learning. - Wouter Groeneveld, Hans Jacobs, Joost Vennekens, Kris Aerts:
Non-cognitive abilities of exceptional software engineers: a Delphi study. - Guillaume Doras, Geoffroy Peeters:
A Prototypical Triplet Loss for Cover Detection. - Amirreza Khodadadian, Nima Noii, Maryam Parvizi, Mostafa Abbaszadeh, Thomas Wick, Clemens Heitzinger:
A Bayesian estimation method for variational phase-field fracture problems. - Wouter Groeneveld, Joost Vennekens, Kris Aerts:
Software Engineering Education Beyond the Technical: A Systematic Literature Review. - David Wisth, Marco Camurri, Maurice F. Fallon:
Preintegrated Velocity Bias Estimation to Overcome Contact Nonlinearities in Legged Robot Odometry. - Arnab Sanyal, Peter A. Beerel, Keith M. Chugg:
Neural Network Training with Approximate Logarithmic Computations. - Weiguo Zheng, Mei Zhang:
Towards Combinational Relation Linking over Knowledge Graphs. - Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet:
Kernel computations from large-scale random features obtained by Optical Processing Units. - Benyamin Ghojogh, Saber Salehkaleybar:
Distributed Voting in Beep Model. - Wei Wu, Fuhui Zhou, Rose Qingyang Hu, Baoyun Wang:
Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks. - Albert Gu, Çaglar Gülçehre, Tom Le Paine, Matthew W. Hoffman, Razvan Pascanu:
Improving the Gating Mechanism of Recurrent Neural Networks. - Claudia-Lavinia Ignat, Quang-Vinh Dang, Valerie L. Shalin:
The Influence of Trust Score on Cooperative Behavior. - Hengda Yin, Richard G. Clegg, Raul J. Mondragón:
Simplification of networks via conservation of path diversity and minimisation of the search information. - Ludvig af Klinteberg, Alex H. Barnett:
Accurate quadrature of nearly singular line integrals in two and three dimensions by singularity swapping. - Naeimeh Omidvar, An Liu, Vincent K. N. Lau, Danny H. K. Tsang, Mohammad Reza Pakravan:
Parallel Stochastic Optimization Framework for Large-Scale Non-Convex Stochastic Problems. - Caroline Jay, Robert Haines, Daniel S. Katz, Jeffrey C. Carver, James C. Phillips, Anshu Dubey, Sandra Gesing, Matthew J. Turk, Hui Wan, Hubertus Van Dam, James Howison, Vitali A. Morozov, Steven R. Brandt:
Theory-Software Translation: Research Challenges and Future Directions. - Pierre Beckmann, Mikolaj Kegler, Hugues Saltini, Milos Cernak:
Speech-VGG: A deep feature extractor for speech processing. - Mohamed R. Ibrahim, James Haworth, Tao Cheng:
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning. - Nada Alhirabi, Omer F. Rana, Charith Perera:
Designing Security and Privacy Requirements in Internet of Things: A Survey. - Paolo Testolina, Mattia Lecci, Michele Polese, Marco Giordani, Michele Zorzi:
Scalable and Accurate Modeling of the Millimeter Wave Channel. - Nazar Akrami, Johan Fernquist, Tim Isbister, Lisa Kaati, Björn Pelzer:
Automatic Extraction of Personality from Text: Challenges and Opportunities. - Oswin Aichholzer, Hugo A. Akitaya, Kenneth C. Cheung, Erik D. Demaine, Martin L. Demaine, Sándor P. Fekete, Linda Kleist, Irina Kostitsyna, Maarten Löffler, Zuzana Masárová, Klara Mundilova, Christiane Schmidt:
Folding Polyominoes with Holes into a Cube. - Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen:
Weakly-Supervised Completion Moment Detection using Temporal Attention. - Kelvin Loh:
Fairness evaluation during the conceptual design of heat grids with quantum annealers. - Andrew Brown, Pascal Mettes, Marcel Worring:
4-Connected Shift Residual Networks. - Dongwei Jiang, Xiaoning Lei, Wubo Li, Ne Luo, Yuxuan Hu, Wei Zou, Xiangang Li:
Improving Transformer-based Speech Recognition Using Unsupervised Pre-training. - Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen:
Abnormal Client Behavior Detection in Federated Learning. - Ruixiong Zhang, Wei Zou, Xiangang Li:
Cross-task pre-training for acoustic scene classification. - Alberto Spina, Michael Breza, Naranker Dulay, Julie A. McCann:
XPC: Fast and Reliable Synchronous Transmission Protocols for 2-Phase Commit and 3-Phase Commit. - Vevake Balaraman, Bernardo Magnini:
Scalable Neural Dialogue State Tracking. - Ilya Amburg, Nate Veldt, Austin R. Benson:
Hypergraph clustering with categorical edge labels. - Jaya Prakash Champati, Hussein Al-Zubaidy, James Gross:
Statistical Guarantee Optimization for AoI in Single-Hop and Two-Hop Systems with Periodic Arrivals. - Wenjun Yan, Qing Ling, Limin Zhang:
Convolutional Neural Networks for Space-Time Block Coding Recognition. - Charlotte Blease, Cosima Locher, Marisa Leon-Carlyle, P. Murali Doraiswamy:
Artificial Intelligence and the Future of Psychiatry: Qualitative Findings from a Global Physician Survey. - Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng:
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation. - Feilong Zhang, Bi Zhang, Xingang Zhao:
The PFDL-Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems. - Steve Huntsman:
Unshuffling fields in data formats. - Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu:
Deep Set-to-Set Matching and Learning. - Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov:
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection. - Haodi Zhang, Zihang Gao, Yi Zhou, Hao Zhang, Kaishun Wu, Fangzhen Lin:
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning. - Merlijn Blaauw, Jordi Bonada:
Sequence-to-sequence Singing Synthesis Using the Feed-forward Transformer. - Fabrizio De Fausti, Francesco Pugliese, Diego Zardetto:
Toward Automated Website Classification by Deep Learning. - Tingxiang Fan, Pinxin Long, Wenxi Liu, Jia Pan, Ruigang Yang, Dinesh Manocha:
Learning Resilient Behaviors for Navigation Under Uncertainty Environments. - Jacinto Ulloa, Jef Wambacq, Roberto Alessi, Geert Degrande, Stijn François:
Phase-field modeling of fatigue coupled to cyclic plasticity in an energetic formulation. - Saeid Samizade, Zheng-Hua Tan, Chao Shen, Xiaohong Guan:
Adversarial Example Detection by Classification for Deep Speech Recognition. - Alice Froidevaux, Andréa Julier, Agustin Lifschitz, Minh-Tan Pham, Romain Dambreville, Sébastien Lefèvre, Pierre Lassalle, Thanh-Long Huynh:
Vehicle detection and counting from VHR satellite images: efforts and open issues. - Simon Oya, Carmela Troncoso, Fernando Pérez-González:
Understanding the Effects of Real-World Behavior in Statistical Disclosure Attacks. - Stephanie Bertrand, Martha Vassiliadi, Paul Zikas, Efstratios Geronikolakis, George Papagiannakis:
From Readership to Usership and Education, Entertainment, Consumption to Valuation: Embodiment and Aesthetic Experience in Literature-based MR Presence. - Jordana Mecler, Anand Subramanian, Thibaut Vidal:
A simple and effective hybrid genetic search for the job sequencing and tool switching problem. - Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan:
A quasi-Monte Carlo Method for an Optimal Control Problem Under Uncertainty. - Belal Amro, Ahmed Abu Sabha, Ammar Qunaibi, Ibraheem Najjar:
PAPG - Personalized Anti-Phishing Guard. - Alina Marcu, Dragos Costea, Vlad Licaret, Marius Leordeanu:
Towards Automatic Annotation for Semantic Segmentation in Drone Videos. - Waqas Sultani, Mubarak Shah:
Human Action Recognition in Drone Videos using a Few Aerial Training Examples. - Diana Marcela V. Melo, Lukas T. N. Landau, Rodrigo C. de Lamare:
Zero-Crossing Precoding With Maximum Distance to the Decision Threshold for Channels With 1-Bit Quantization and Oversampling. - Hugo Braun, Justin Luitjens, Ryan Leary:
GPU-Accelerated Viterbi Exact Lattice Decoder for Batched Online and Offline Speech Recognition. - Siddharth Patki, Ethan Fahnestock, Thomas M. Howard, Matthew R. Walter:
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments. - Simon Oya, Fernando Pérez-González, Carmela Troncoso:
Filter Design for Delay-Based Anonymous Communications. - Pranjal Dhakal, Manish Munikar, Bikram Dahal:
One-Shot Template Matching for Automatic Document Data Capture. - Fredrik Bengtsson, Torsten Wik, Elin Svensson:
Resolving issues of scaling for gramian based input-output pairing methods. - Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. - Ye Zhou, Amit Moscovich, Tamir Bendory, Alberto Bartesaghi:
Unsupervised particle sorting for high-resolution single-particle cryo-EM. - Anurag Ranjan, Joel Janai, Andreas Geiger, Michael J. Black:
Attacking Optical Flow. - Xia Huang, Hossein Mousavi, Gemma Roig:
Predictive Coding Networks Meet Action Recognition. - Wangda Zhang, Kenneth A. Ross:
Exploiting Data Skew for Improved Query Performance. - Jack Kenney, John Valcore, Scott Riggs, Edward A. Rietman:
Deep Learning Regression of VLSI Plasma Etch Metrology. - Peter Monk, Yangwen Zhang:
Finite Element Methods for Maxwell's Equations. - Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde:
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy. - Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli:
Depth-Adaptive Transformer. - Samuel Kim, Namhee Kwon, Henry O'Connell:
Toward estimating personal well-being using voice. - Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng:
From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions. - Petr Kellnhofer, Adrià Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba:
Gaze360: Physically Unconstrained Gaze Estimation in the Wild. - Kaiyang Zhou, Tao Xiang:
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch. - Micah Altman, Stephen Chong, Alexandra Wood:
Formalizing Privacy Laws for License Generation and Data Repository Decision Automation. - Karl M. Koerich, Mohammad Esmailpour, Sajjad Abdoli, Alceu S. Britto Jr., Alessandro L. Koerich:
Cross-Representation Transferability of Adversarial Perturbations: From Spectrograms to Audio Waveforms. - Mahdi Shamsi, Alireza Moslemi Haghighi, Farokh Marvasti:
Distributed interference cancellation in multi-agent scenarios. - Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao, Kai Han:
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. - Giuseppe Liotta, Ignaz Rutter, Alessandra Tappini:
Simultaneous FPQ-Ordering and Hybrid Planarity Testing. - Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard:
Mask Combination of Multi-layer Graphs for Global Structure Inference. - Vincent Moulton, Andreas Spillner:
Order distances and split systems. - Eugene Wong:
Class Mean Vectors, Self Monitoring and Self Learning for Neural Classifiers. - Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Transductive Parsing for Universal Decompositional Semantics. - Naveen Madapana, Glebys T. Gonzalez, Juan P. Wachs:
Gesture Agreement Assessment Using Description Vectors. - Ao Li, Liting Sun, Wei Zhan, Masayoshi Tomizuka:
Multiple criteria decision-making for lane-change model. - Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio:
Establishing an Evaluation Metric to Quantify Climate Change Image Realism. - Daniel Appelö, Fortino Garcia, Olof Runborg:
WaveHoltz: Iterative Solution of the Helmholtz Equation via the Wave Equation. - René Haberland:
Review of Recent Techniques on Heap Specification and Verification. - Lourenço Beirão da Veiga, Franco Brezzi, L. Donatella Marini, Alessandro Russo:
Virtual Elements and curved edges. - Robert B. Grupp, Ryan J. Murphy, Rachel Hegeman, Clayton P. Alexander, Mathias Unberath, Yoshito Otake, Benjamin A. McArthur, Mehran Armand, Russell H. Taylor:
Fast and Automatic Periacetabular Osteotomy Fragment Pose Estimation Using Intraoperatively Implanted Fiducials and Single-View Fluoroscopy. - Ahmad Banijamali, Pooyan Jamshidi, Pasi Kuvaja, Markku Oivo:
Kuksa: A Cloud-Native Architecture for Enabling Continuous Delivery in the Automotive Domain. - Kuangen Zhang, Zhimin Hou, Clarence W. de Silva, Haoyong Yu, Chenglong Fu:
Teach Biped Robots to Walk via Gait Principles and Reinforcement Learning with Adversarial Critics. - Zhenxun Zhuang, Yunlong Wang, Kezi Yu, Songtao Lu:
Online Meta-Learning on Non-convex Setting. - Cody Ruben, Surya Dhulipala, Keerthiraj Nagaraj, Sheng Zou, Allen Starke, Arturo S. Bretas, Alina Zare, Janise McNair:
Hybrid data-driven physics model-based framework for enhance cyber-physical smart grid security. - Muqiao Yang, Martin Q. Ma, Dongyu Li, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov:
Complex Transformer: A Framework for Modeling Complex-Valued Sequence. - Georgia Pierrou, Xiaozhe Wang:
Analytical Study of the Impacts of Stochastic Load Fluctuation on the Dynamic Voltage Stability Margin Using Bifurcation Theory. - Tommaso Teofili, Jimmy Lin:
Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors. - Amrith Setlur, Barnabás Póczos:
Better Approximate Inference for Partial Likelihood Models with a Latent Structure. - Patrick Esser, Johannes Haux, Björn Ommer:
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. - Sahar Voghoei, Navid Hashemi Tonekaboni, Jason G. Wallace, Hamid R. Arabnia:
Deep Learning at the Edge. - Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha:
Bottom-Up Meta-Policy Search. - Kunal Korgaonkar, Ronny Ronen, Anupam Chattopadhyay, Shahar Kvatinsky:
The Bitlet Model: Defining a Litmus Test for the Bitwise Processing-in-Memory Paradigm. - Toby Sanders, Christian Dwyer, Rodrigo B. Platte:
Fourier Analysis, Computing, and Image Formation for Spotlight Synthetic Aperture Radar. - Mattia Antonino Di Gangi, Robert Enyedi, Alessandra Brusadin, Marcello Federico:
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts. - Seng W. Loke:
Achieving Ethical Algorithmic Behaviour in the Internet-of-Things: a Review. - Vincent Lostanlen, Sripathi Sridhar, Brian McFee, Andrew Farnsworth, Juan Pablo Bello:
Learning the helix topology of musical pitch. - Ali Ayub, Aldo W. Morales, Amit Banerjee:
An Adaptive Markov Process for Robot Deception. - Kangkang Wang, Rajiv Mathews, Chloé Kiddon, Hubert Eichner, Françoise Beaufays, Daniel Ramage:
Federated Evaluation of On-device Personalization. - Seng W. Loke:
Towards Robotic Things in Society. - Hanchen Wang, Nina Grgic-Hlaca, Preethi Lahoti, Krishna P. Gummadi, Adrian Weller:
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision. - Seng W. Loke:
Robot-Friendly Cities. - Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh:
Learning Partial Differential Equations from Data Using Neural Networks. - Ben McCamish, Christopher Buss, Arash Termehchy, David Maier:
Integrating Information About Entities Progressively. - Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. - Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang:
Recurrent Attention Walk for Semi-supervised Classification. - Michal Yemini, Amir Leshem, Anelia Somekh-Baruch:
Restless Hidden Markov Bandits with Linear Rewards. - Luu Anh Tuan, Darsh J. Shah, Regina Barzilay:
Capturing Greater Context for Question Generation. - Sephora Madjiheurem, Laura Toni:
State2vec: Off-Policy Successor Features Approximators. - Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux:
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation. - Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou:
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection. - Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram:
Train Where the Data is: A Case for Bandwidth Efficient Coded Training. - Prashanth Gurunath Shivakumar, Naveen Kumar, Panayiotis G. Georgiou, Shrikanth S. Narayanan:
Incremental Online Spoken Language Understanding. - Eric Battenberg, R. J. Skerry-Ryan, Soroosh Mariooryad, Daisy Stanton, David Kao, Matt Shannon, Tom Bagby:
Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis. - (Withdrawn) A Unifying Framework of Bilinear LSTMs.
- Gang Chen, Liangya Pi, Yangwen Zhang:
A New Ensemble HDG Method for Parameterized Convection Diffusion PDEs. - Sang-ik An, Dongheui Lee:
Prioritized Inverse Kinematics: Desired Task Trajectories in Nonsingular Task Spaces. - Zilong Wang, Gaofei Wu, Dongxu Ma:
A New Method to Construct Gloay Complementary Set by Paraunitary Matrices and Hadamard Matrices. - (Withdrawn) New Construction of Complementary Sequence (or Array) Sets and Complete Complementary Codes (I).
- Deyuan Meng, Jingyao Zhang:
System Equivalence Transformation: Robust Convergence of Iterative Learning Control with Nonrepetitive Uncertainties. - Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay, Taylor Denouden, Sachin Vernekar, Buu Phan:
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output. - Yilin Kang, Yong Liu, Weiping Wang:
Weighted Distributed Differential Privacy ERM: Convex and Non-convex. - (Withdrawn) New Construction of Complementary Sequence (or Array) Sets and Complete Complementary Codes (II).
- Antonia Lovjer, Minsu Yeom, Benedikt D. Schifferer, Iddo Drori:
Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge. - Michael Diodato, Yu Li, Manik Goyal, Iddo Drori:
Winning the ICCV 2019 Learning to Drive Challenge. - Shuhan Tan, Xingchao Peng, Kate Saenko:
Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment. - Zhilei Liu, Diyi Liu, Yunpeng Wu:
Region Based Adversarial Synthesis of Facial Action Units. - Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig:
Deja-vu: Double Feature Presentation in Deep Transformer Networks. - Jiahao Li, Changhao Zhang:
Iterative Matching Point. - Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
On the Bee-Identification Error Exponent with Absentee Bees. - Zhilei Liu, Jiahui Dong, Cuicui Zhang, Longbiao Wang, Jianwu Dang:
Relation Modeling with Graph Convolutional Networks for Facial Action Unit Detection. - Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. - Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama:
Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access. - Zhilei Liu, Le Li, Yunpeng Wu, Cuicui Zhang:
Facial Expression Restoration Based on Improved Graph Convolutional Networks. - Yanhong A. Liu, Scott D. Stoller:
Knowledge of Uncertain Worlds: Programming with Logical Constraints. - Thamir M. Qadah:
A Queue-oriented Transaction Processing Paradigm. - Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu:
EdgeAI: A Vision for Deep Learning in IoT Era. - Ryoma Senda, Yoshiaki Takata, Hiroyuki Seki:
Complexity Results on Register Pushdown Automata. - Yang P. Liu, Richard Peng, Mark Sellke:
Vertex Sparsifiers for c-Edge Connectivity. - John Miller, Smitha Milli, Moritz Hardt:
Strategic Adaptation to Classifiers: A Causal Perspective. - Yan Gao, Jian-Guang Lou, Dongmei Zhang:
A Hybrid Semantic Parsing Approach for Tabular Data Analysis. - I. Vinod Reddy:
Parameterized Coloring Problems on Threshold Graphs. - Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee:
MLAT: Metric Learning for kNN in Streaming Time Series. - Oluwafemi Azeez, Yang Zou, B. V. K. Vijaya Kumar:
Deep Classification Network for Monocular Depth Estimation. - Saskia Glaser, Gabriel Maicas, Sergei Bedrikovetski, Tarik Sammour, Gustavo Carneiro:
Semi-supervised Multi-domain Multi-task Training for Metastatic Colon Lymph Node Diagnosis From Abdominal CT. - Bardia Hamedmohseni, Zahed Rahmati, Debajyoti Mondal:
Simplified Emanation Graphs: A Sparse Plane Spanner with Steiner Points. - Zhenhua Huang, Zhenyu Wang, Rui Zhang, Yangyang Zhao, Xiaohui Xie, Sharad Mehrotra:
Network2Vec Learning Node Representation Based on Space Mapping in Networks. - Dhananjay Raju, Suda Bharadwaj, Ufuk Topcu:
Decentralized Runtime Synthesis of Shields for Multi-Agent Systems. - Mohammad Javad Salehi, Antti Tölli, Seyed Pooya Shariatpanahi:
A Multi-Antenna Coded Caching Scheme with Linear Subpacketization. - S. Akansha, S. Baskar:
Adaptive Padé-Chebyshev Type Approximation to Piecewise Smooth Functions. - Felix McGregor, Arnu Pretorius, Johan A. du Preez, Steve Kroon:
Stabilising priors for robust Bayesian deep learning. - Xingcheng Song, Guangsen Wang, Zhiyong Wu, Yiheng Huang, Dan Su, Dong Yu, Helen Meng:
Speech-XLNet: Unsupervised Acoustic Model Pretraining For Self-Attention Networks. - Shilpesh Garg:
RTOP: A Conceptual and Computational Framework for General Intelligence. - Heung-Chang Lee, Do-Guk Kim, Bohyung Han:
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling. - Christoph Angermann, Markus Haltmeier:
Random 2.5D U-net for Fully 3D Segmentation. - Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent:
Filterbank design for end-to-end speech separation. - Hiroki Masuda, Tetsuo Yokoyama:
Analyzing Trade-offs in Reversible Linear and Binary Search Algorithms. - Surafel Melaku Lakew, Mattia Antonino Di Gangi, Marcello Federico:
Controlling the Output Length of Neural Machine Translation. - Phanideep Gampa, Sumio Fujita:
BanditRank: Learning to Rank Using Contextual Bandits. - Feodor F. Dragan, Guillaume Ducoffe:
A story of diameter, radius and Helly property. - Chenglang Yuan, Cheng Bian, Hongjian Kang, Shu Liang, Kai Ma, Yefeng Zheng:
Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks. - Ying Loong Lee, Donghong Qin, Li-Chun Wang, Gek Hong Sim:
6G Massive Radio Access Networks: Key Issues, Technologies, and Future Challenges. - Bolin Wei:
Retrieve and Refine: Exemplar-based Neural Comment Generation. - Keisuke Nakano:
Towards a Complete Picture of Lens Laws. - Julien Alexandre Dit Sandretto:
Sensitivity-based Heuristic for Guaranteed Global Optimization with Nonlinear Ordinary Differential Equations. - Mahdi Boloursaz Mashhadi, Qianqian Yang, Deniz Gündüz:
CNN-based Analog CSI Feedback in FDD MIMO-OFDM Systems. - Georgia Avarikioti, Eleftherios Kokoris-Kogias, Roger Wattenhofer:
Divide and Scale: Formalization of Distributed Ledger Sharding Protocols. - Umur Karabulut, Ahmad Awada, Ingo Viering, André Noll Barreto, Gerhard P. Fettweis:
Low Complexity Channel Model for Mobility Investigations in 5G Networks. - Lu Tang, Qun Huang, Patrick P. C. Lee:
A Fast and Compact Invertible Sketch for Network-Wide Heavy Flow Detection. - Manuel Patchou, Benjamin Sliwa, Christian Wietfeld:
Unmanned Aerial Vehicles in Logistics: Efficiency Gains and Communication Performance of Hybrid Combinations of Ground and Aerial Vehicles. - Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. - Shashank Tiwari, Suvra Sekhar Das:
Circularly Pulse Shaped Orthogonal Time Frequency Space Modulation. - Wei-Chang Yeh:
A Novel Generalized Artificial Neural Network for Mining Two-Class Datasets. - Alexander Schaefer, Lukas Luft, Wolfram Burgard:
An Analytical Lidar Sensor Model Based on Ray Path Information. - Galen J. Wilkerson, Sotiris Moschoyiannis:
Universal Boolean Logic in Cascading Networks. - Andrea D'Amico, Elliot London, Emanuele Virgillito, Antonio Napoli, Vittorio Curri:
Quality of Transmission Estimation for Network Planning: how to handle single-channel nonlinear effects? - Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang:
XL-Editor: Post-editing Sentences with XLNet. - Dan Diaper, Christian R. Huyck:
The Task Analysis Cell Assembly Perspective. - Carl Nordlund:
Direct blockmodeling of valued and binary networks: a dichotomization-free approach. - Gabriele Prato, Ella Charlaix, Mehdi Rezagholizadeh:
Fully Quantized Transformer for Improved Translation. - Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. - David Donahue, Yuanliang Meng, Anna Rumshisky:
Memory-Augmented Recurrent Networks for Dialogue Coherence. - David Donahue, Vladislav Lialin, Anna Rumshisky:
Injecting Hierarchy with U-Net Transformers. - Fatemeh Hasanzadeh, Mohsen Annabestani, Sahar Moghimi:
Continuous Emotion Recognition during Music Listening Using EEG Signals: A Fuzzy Parallel Cascades Model. - Xingbang Liu, Janyl Jumadinova:
Automated Text Summarization for the Enhancement of Public Services. - Raj Patel, Carlotta Domeniconi:
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates. - Haozheng Luo, Ningwei Liu, Charles Feng:
Question Classification with Deep Contextualized Transformer. - Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard:
Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors. - Junhua Liu, Chu Guo, Yung Chuen Ng, Kristin L. Wood, Kwan Hui Lim:
IPOD: Corpus of 190, 000 Industrial Occupations. - Hella Haanstra, Maaike H. T. de Boer:
Opinion aspect extraction in Dutch childrens diary entries. - Raúl E. Monti, Pedro R. D'Argenio, Carlos E. Budde:
A compositional semantics for Repairable Fault Trees with general distributions. - Ivan Homoliak, Petr Hanácek:
ASNM Datasets: A Collection of Network Traffic Features for Testing of Adversarial Classifiers and Network Intrusion Detectors. - Marc Rußwurm, Marco Körner:
Self-Attention for Raw Optical Satellite Time Series Classification. - Reda Bahi Slaoui, William R. Clements, Jakob N. Foerster, Sébastien Toth:
Robust Domain Randomization for Reinforcement Learning. - Jens Oliver Gutsfeld, Markus Müller-Olm, Christoph Ohrem:
Propositional Dynamic Logic for Hyperproperties. - Nhien-An Le-Khac, Lamine M. Aouad, M. Tahar Kechadi:
Knowledge Map: Toward a New Approach Supporting the Knowledge Management in Distributed Data Mining. - Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard:
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. - Fabio Pizzati, Raoul de Charette, Michela Zaccaria, Pietro Cerri:
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation. - Hongyang Du, Jiayi Zhang, Julian Cheng, Bo Ai:
Distribution of the Sum of Fisher-Snedecor $\mathcal{F}$ Random Variables and Its Applications. - Deeksha Adil, Sushant Sachdeva:
Faster p-norm minimizing flows, via smoothed q-norm problems. - Richard John Preen, Stewart W. Wilson, Larry Bull:
Autoencoding with XCSF. - Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. - Ibrahim Almuslimani, Gilles Vilmart:
Explicit stabilized integrators for stiff optimal control problems. - Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh:
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. - Thomas Durieux, João F. Ferreira, Rui Abreu, Pedro Cruz:
Empirical Review of Automated Analysis Tools on 47, 587 Ethereum Smart Contracts. - Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation Using Visual Saliency. - Maximilian Bachl, Joachim Fabini, Tanja Zseby:
Cocoa: Congestion Control Aware Queuing. - Ondrej Klejch, Joachim Fainberg, Peter Bell, Steve Renals:
Speaker Adaptive Training using Model Agnostic Meta-Learning. - Mohamed M. S. Nasser, El Mostafa Kalmoun:
Application of integral equations to simulate local fields in carbon nanotube reinforced composites. - Mohit Bansil:
Two Stage Algorithm for Semi-Discrete Optimal Transport on Disconnected Domains. - Luckeciano Carvalho Melo, Marcos R. O. A. Máximo:
Learning Humanoid Robot Running Skills through Proximal Policy Optimization. - Kenji Koga, Maria Spichkova, Nitin Mantri:
Towards Automated Management and Analysis of Heterogeneous Data Within Cannabinoids Domain. - Zadid Khan, Sakib Mahmud Khan, Mashrur Chowdhury, F. Asce:
Development and evaluation of an open-source, machine learning-based average annual daily traffic estimation software. - Fabrice Zaoui, Cédric Goeury, Yoann Audouin:
A Metamodel of the Telemac Errors. - Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex:
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. - Dominik Kempa, Tomasz Kociumaka:
Resolution of the Burrows-Wheeler Transform Conjecture. - Yuan Gao, Xingye Da, Yan Gu:
Impact-Aware Online Motion Planning for Fully-Actuated Bipedal Robot Walking. - Florian Funke, Simon Jantsch, Christel Baier:
Farkas certificates and minimal witnesses for probabilistic reachability constraints. - Erik Blasch, Ronghua Xu, Yu Chen, Genshe Chen, Dan Shen:
Blockchain Methods for Trusted Avionics Systems. - Xinbo Geng, Le Xie:
Chance-constrained Unit Commitment via the Scenario Approach. - Johannes Holke, David Knapp, Carsten Burstedde:
An Optimized, Parallel Computation of the Ghost Layer for Adaptive Hybrid Forest Meshes. - Ruth Fong, Andrea Vedaldi:
Occlusions for Effective Data Augmentation in Image Classification. - Fei Xu, Yingtao Zhang, Min Xian, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang:
Breast Anatomy Enriched Tumor Saliency Estimation. - Pedro Castro, Anil Armagan, Tae-Kyun Kim:
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction. - Robin Scheibler, Nobutaka Ono:
Fast Independent Vector Extraction by Iterative SINR Maximization. - Nikola Milosevic, Junfan Huang:
Deep learning guided Android malware and anomaly detection. - Srdan Kitic:
Multilateration - source localization from range difference measurements: Literature survey. - Mattia Antonino Di Gangi, Viet-Nhat Nguyen, Matteo Negri, Marco Turchi:
Instance-Based Model Adaptation For Direct Speech Translation. - Silvia Gazzola, Chang Meng, James G. Nagy:
Krylov Methods for Low-Rank Regularization. - Parinya Chalermsook, Syamantak Das, Bundit Laekhanukit, Daniel Vaz:
Mimicking Networks Parameterized by Connectivity. - John Harlim, Daniel Sanz-Alonso, Ruiyi Yang:
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. - Jun Liu, Jiedan Zhu, Vishal Kathuria, Fuchun Peng:
Efficient Dynamic WFST Decoding for Personalized Language Models. - Ruizhi Li, Gregory Sell, Xiaofei Wang, Shinji Watanabe, Hynek Hermansky:
A practical two-stage training strategy for multi-stream end-to-end speech recognition. - Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull:
gradSLAM: Dense SLAM meets Automatic Differentiation. - Anna Winnicki, Mariola Ndrio, Subhonmesh Bose:
Convex Relaxation Based Locational Marginal Prices. - Leslie N. Smith:
A Useful Taxonomy for Adversarial Robustness of Neural Networks. - Jie An, Mingshuai Chen, Bohua Zhan, Naijun Zhan, Miaomiao Zhang:
Learning One-Clock Timed Automata. - Andrea Zanelli, Julian Kullick, Hisham M. Eldeeb, Gianluca Frison, Christoph M. Hackl, Moritz Diehl:
Continuous Control Set Nonlinear Model Predictive Control of Reluctance Synchronous Machines. - Deepak Bhaskar Acharya, Huaming Zhang:
Feature Selection and Extraction for Graph Neural Networks. - Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu:
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. - Zhuyun Dai, Jamie Callan:
Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval. - Jason Teutsch:
On decentralized oracles for data availability. - Joan S. Pujol Roig, David Manuel Gutiérrez Estévez, Deniz Gündüz:
Management and Orchestration of Virtual Network Functions via Deep Reinforcement Learning. - Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg:
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model. - Yonglong Tian, Dilip Krishnan, Phillip Isola:
Contrastive Representation Distillation. - Beverley J. Grieshaber, Andrew T. McBride, B. Daya Reddy:
Convergence in the incompressible limit of new discontinuous Galerkin methods with general quadrilateral and hexahedral elements. - Mario Carneiro:
Metamath Zero: The Cartesian Theorem Prover. - Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
KnowIT VQA: Answering Knowledge-Based Questions about Videos. - Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee:
End-to-End Multi-Task Denoising for the Joint Optimization of Perceptual Speech Metrics. - Stepan G. Margaryan:
Necessary and sufficient conditions for Boolean satisfiability. - Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard:
A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans. - Koray Gabriel Kachar, Alex A. Gorodetsky:
Dynamic multi-agent assignment via discrete optimal transport. - Naor Kalbo, Yisroel Mirsky, Asaf Shabtai, Yuval Elovici:
The Security of IP-based Video Surveillance Systems. - Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. - Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning Q-network for Active Information Acquisition. - Arijit Das, Jaydeep Mandal, Zargham Danial, Alok Ranjan Pal, Diganta Saha:
A Novel Approach for Automatic Bengali Question Answering System using Semantic Similarity Analysis. - Mihaela C. Stoian, Sameer Bansal, Sharon Goldwater:
Analyzing ASR pretraining for low-resource speech-to-text translation. - Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He:
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. - Kemal Davaslioglu, Yalin E. Sagduyu:
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning. - Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gómez-Luna, Onur Mutlu:
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations. - Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira:
Diversifying Database Activity Monitoring with Bandits. - Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Yishay Carmiel, Najim Dehak:
Hierarchical Transformers for Long Document Classification. - Alexander Levine, Soheil Feizi:
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. - Bahram Behzadian, Reazul Hasan Russel, Marek Petrik:
High-Confidence Policy Optimization: Reshaping Ambiguity Sets in Robust MDPs. - Mustafa Aggul, Fatma G. Eroglu, Songül Kaya, Alexander E. Labovsky:
A projection based Variational Multiscale Method for Atmosphere-Ocean Interaction. - Ayoosh Bansal, Chance Coats, Evan Lissoos, Benjamin Schreiber:
Sidebar: Scratchpad Based Communication Between CPUs and Accelerators. - James Zachary Hare, Junnan Song, Shalabh Gupta, Thomas A. Wettergren:
POSE.R: Prediction-based Opportunistic Sensing for Resilient and Efficient Sensor Networks. - Oscar Leong, Wesam Sakla:
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems. - Vishwa Karia, Wenhao Zhang, Arash Naeim, Ramin Ramezani:
GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets. - Zhenyu Tang, Hsien-Yu Meng, Dinesh Manocha:
Low-frequency Compensated Synthetic Impulse Responses for Improved Far-field Speech Recognition. - Anum Ali, Nuria González Prelcic, Amitava Ghosh:
Passive Radar at the Roadside Unit to Configure Millimeter Wave Vehicle-to-Infrastructure Links. - Adam J. Thorpe, Vignesh Sivaramakrishnan, Meeko M. K. Oishi:
Stochastic Reachability for Systems up to a Million Dimensions. - Jenna Reher, Claudia Kann, Aaron D. Ames:
An Inverse Dynamics Approach to Control Lyapunov Functions. - Ming Y. Lu, Richard J. Chen, Jingwen Wang, Debora Dillon, Faisal Mahmood:
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding. - Wenbin Wan, Hunmin Kim, Naira Hovakimyan, Lui Sha, Petros G. Voulgaris:
A Safety Constrained Control Framework for UAVs in GPS Denied Environment. - Henry N. Ogbu, Moses Adah Agana:
Intranet Security using a LAN Packet Sniffer to Monitor Traffic. - Yuwen Li:
Superconvergent flux recovery of the Rannacher-Turek nonconforming element. - Moses Adah Agana, Bassey Igbo Ele:
A Strategic Cyber Crime and Security Awareness Information System using a Dedicated Portal. - Alexander A. Alemi:
Variational Predictive Information Bottleneck. - Alexandre Matton, Luke de Oliveira:
Emergent Properties of Finetuned Language Representation Models. - Steven W. Chen, Tianyu Wang, Nikolay Atanasov, Vijay Kumar, Manfred Morari:
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets. - Willemijn S. Elkhuizen, Tessa T. W. Essers, Yu Song, Jo Geraedts, Clemens Weijkamp, Joris Dik, Sylvia C. Pont:
Gloss, Color and Topography Scanning for Reproducing a Painting's Appearance using 3D printing. - Nikolaos Bousias, Sotiris Papatheodorou, Mariliza Tzes, Anthony Tzes:
Distributed surveillance by a swarm of UAVs operating under positional uncertainty. - Patrik Reizinger, Márton Szemenyei:
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning. - Xi-Yuan Yin, Olivier Mercier, Badal Yadav, Kai Schneider, Jean-Christophe Nave:
A Characteristic Mapping Method for the two-dimensional incompressible Euler equations. - Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Relation Module for Non-answerable Prediction on Question Answering. - Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi:
Weakly-Supervised Degree of Eye-Closeness Estimation. - T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Centrality Rankings from Graph Signals. - Fabio Alessi, Alberto Ciaffaglione, Pietro Di Gianantonio, Furio Honsell, Marina Lenisa:
A Definitional Implementation of the Lax Logical Framework LLFP in Coq, for Supporting Fast and Loose Reasoning. 8-23 - Michael Kohlhase, Jan Frederik Schaefer:
GF + MMT = GLF - From Language to Semantics through LF. 24-39 - Dennis Müller, Florian Rabe:
Rapid Prototyping Formal Systems in MMT: 5 Case Studies. 40-54 - Aaron Stump:
A Weakly Initial Algebra for Higher-Order Abstract Syntax in Cedille. 55-67 - Anirban Sinha, Nilanjan Chakraborty:
Computing Robust Inverse Kinematics Under Uncertainty. - Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann:
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation. - Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou:
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification. - Chunlei Liu, Wenrui Ding, Jinyu Yang, Vittorio Murino, Baochang Zhang, Jungong Han, Guodong Guo:
Aggregation Signature for Small Object Tracking. - Minquan Cheng, Yiqun Li, Xi Zhong, Ruizhong Wei:
Improved Constructions of Coded Caching Schemes for Combination Networks. - Wenhui Meng, Ruifei Liu:
A periodic FM-BEM for solving the acoustic transmission problems in periodic media. - Asiri Wijesinghe, Qing Wang:
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters. - Dave Makhervaks, William Hinthorn, Dimitrios Dimitriadis, Andreas Stolcke:
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings. - Benjamin Spector, Ravi Kumar, Andrew Tomkins:
Preventing Adversarial Use of Datasets through Fair Core-Set Construction. - Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan:
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition. - Lin Chen, Qian Yu, Hannah Lawrence, Amin Karbasi:
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition. - Akilesh Sivaswamy, Evgeny N. Pavlovskiy:
Superposition as Data Augmentation using LSTM and HMM in Small Training Sets. - Eric Goles, Diego Maldonado, Pedro Montealegre, Martín Ríos-Wilson:
On the Complexity of Asynchronous Freezing Cellular Automata. - Shuo Li, Osbert Bastani:
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics. - Hao Li, Bowen Weng, Abhishek Gupta, Jia Pan, Wei Zhang:
Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning. - Umang Mathur, P. Madhusudan, Mahesh Viswanathan:
What's Decidable About Program Verification Modulo Axioms? - Zhiwei Xu, Thalaiyasingam Ajanthan, Richard Hartley:
Fast and Differentiable Message Passing for Stereo Vision. - Zuyi Bao, Rui Huang, Chen Li, Kenny Q. Zhu:
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations. - Zhao Yang, Qiang Wang, Luca Bertinetto, Weiming Hu, Song Bai, Philip H. S. Torr:
Anchor Diffusion for Unsupervised Video Object Segmentation. - Haiming Yu, Yin Fan, Keyu Chen, He Yan, Xiangju Lu, Junhui Liu, Danming Xie:
Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition. - Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, Sergey Levine:
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning. - Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg:
UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands. - Chunnan Wang, Hongzhi Wang, Tianyu Mu, Jianzhong Li, Hong Gao:
Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem. - Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions. - Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue, Takenori Yoshimura, Shinji Watanabe, Tomoki Toda, Kazuya Takeda, Yu Zhang, Xu Tan:
ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit. - Ziye Yang, Xiao-Lei Zhang:
Multi-channel Speech Separation Using Deep Embedding Model with Multilayer Bootstrap Networks. - Zhenyi Liu, Trisha Lian, Joyce E. Farrell, Brian A. Wandell:
Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network. - Yuwen Qian, Feifei Wang, Jun Li, Long Shi, Kui Cai, Feng Shu:
User Association and Path Planning for UAV-Aided Mobile Edge Computing with Energy Restriction. - Zijie Yan:
Gradient Sparification for Asynchronous Distributed Training. - Quan Nguyen, Xinda Ke, Nader Samaan, Jesse Holzer, Marcelo Elizondo, Huifen Zhou, Zhangshuan Hou, Renke Huang, Mallikarjuna Vallem, Bharat Vyakaranam, Malini Ghosal, Yuri V. Makarov:
Optimal Future Sub-Transmission Volt-Var Planning Tool to Enable High PV Penetration. - Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
A Recurrent Variational Autoencoder for Speech Enhancement. - Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla:
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. - Xuedong Shang, Rianne de Heide, Emilie Kaufmann, Pierre Ménard, Michal Valko:
Fixed-Confidence Guarantees for Bayesian Best-Arm Identification. - Márton Szemenyei, Vladimir Estivill-Castro:
ROBO: Robust, Fully Neural Object Detection for Robot Soccer. - Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun:
Pun-GAN: Generative Adversarial Network for Pun Generation. - Jianyu Wang, Xiao-Lei Zhang:
Deep topic modeling by multilayer bootstrap network and lasso. - Muhammad Furqan Rafique, Muhammad Ali, Aqsa Saeed Qureshi, Asifullah Khan, Anwar Majid Mirza:
Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique. - Jumpei Tanaka, Van-Dang Tran, Hiroyuki Kato, Zhenjiang Hu:
Toward Co-existing Database Schemas based on Bidirectional Transformation. - Alessandro Nordio, Alberto Tarable, Carla-Fabiana Chiasserini, Emilio Leonardi:
Opinion Dynamics on Correlated Subjects in Social Networks. - Saba Asaad, Ali Bereyhi, Ralf R. Müller, Rafael F. Schaefer:
Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO. - Junhan Kim, Jian Wang, Byonghyo Shim:
An Optimal Restricted Isometry Condition for Exact Sparse Recovery with Orthogonal Least Squares. - Tingguang Li, Krishnan Srinivasan, Max Qing-Hu Meng, Wenzhen Yuan, Jeannette Bohg:
Learning Hierarchical Control for Robust In-Hand Manipulation. - Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun:
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning. - Hernán C. Melgratti, Claudio Antares Mezzina, Iain C. C. Phillips, G. Michele Pinna, Irek Ulidowski:
Reversible Causal Nets and Reversible Event Structures. - Kwanghoon Choi, James Cheney, Simon Fowler, Sam Lindley:
A Polymorphic RPC Calculus. - Ferdous Irtiaz Khan, Tareq Aziz:
Transient Stability evaluation of a Solar PV Integrated Industrial Microgrid. - Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu:
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries. - Hang Zhou, Ziwei Liu, Xudong Xu, Ping Luo, Xiaogang Wang:
Vision-Infused Deep Audio Inpainting. - Myriam Preissmann, Cléophée Robin, Nicolas Trotignon:
On the complexity of colouring antiprismatic graphs. - Jacek Wszolek, Szymon Ludyga, Wojciech Anzel, Szymon Szott:
Revisiting LTE LAA: Channel access, QoS, and Coexistence with Wi-Fi. - Georgios Balikas, Ioannis Partalas:
Wasserstein distances for evaluating cross-lingual embeddings. - Dongxu Li, Cristian Rodriguez Opazo, Xin Yu, Hongdong Li:
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison. - Anna Maria Vollmer, Silverio Martínez-Fernández, Alessandra Bagnato, Jari Partanen, Lidia López, Pilar Rodríguez:
Practical experiences and value of applying software analytics to manage quality. - Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin:
A Graph-Based Framework to Bridge Movies and Synopses. - Xingxing Zhang, Zhenfeng Zhu, Yao Zhao:
ProLFA: Representative Prototype Selection for Local Feature Aggregation. - Xuesong Niu, Hu Han, Shiguang Shan, Xilin Chen:
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition. - Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella:
Taxonomy of Real Faults in Deep Learning Systems. - Tarun Yenamandra, Florian Bernard, Jiayi Wang, Franziska Mueller, Christian Theobalt:
Convex Optimisation for Inverse Kinematics. - Florent Delgrange, Joost-Pieter Katoen, Tim Quatmann, Mickael Randour:
Simple Strategies in Multi-Objective MDPs (Technical Report). - Christina Büsing, Catherine Cleophas, Martin Comis:
Patients, Primary Care, and Policy: Simulation Modeling for Health Care Decision Support. - Jimmy Lin, Lori Paniak, Gordon Boerke:
The Performance Envelope of Inverted Indexing on Modern Hardware. - Tu Nguyen:
Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction. - Tristan Hascoet, Xuejiao Deng, Kiyoto Tai, Mari Sugiyama, Yuji Adachi, Sachiko Nakamura, Yasuo Ariki, Tomoko Hayashi, Tetsuya Takiguchi:
Assisting human experts in the interpretation of their visual process: A case study on assessing copper surface adhesive potency. - Alexander van der Grinten, Henning Meyerhenke:
Scaling Betweenness Approximation to Billions of Edges by MPI-based Adaptive Sampling. - Toshiyuki Shimizu, Hiroki Omori, Masatoshi Yoshikawa:
Toward a view-based data cleaning architecture. - Luciano da Fontoura Costa, Henrique Ferraz de Arruda:
Harmonic Complex Networks. - Jinfeng Du, Marcin Rybakowski, Kamil Bechta, Reinaldo A. Valenzuela:
Matching in the Air: Optimal Analog Beamforming under Angular Spread. - Zhiwei Han, Thomas Weber, Stefan Matthes, Yuanting Liu, Hao Shen:
Interactive Image Restoration. - Anthony Bourached, Parashkev Nachev:
Unsupervised Videographic Analysis of Rodent Behaviour. - Cat P. Le, Yi Zhou, Jie Ding, Vahid Tarokh:
Supervised Encoding for Discrete Representation Learning. - Lorenz Hübschle-Schneider, Peter Sanders:
Communication-Efficient (Weighted) Reservoir Sampling. - Kyu-Beom Lee, Hyu-Soung Shin:
Self-enhancement of automatic tunnel accident detection (TAD) on CCTV by AI deep-learning. - Geoffroy Chaussonnet, Christian Lieber, Yikang Yan, Wenda Gu, Andreas Bartschat, Markus Reischl, Rainer Koch, Ralf Mikut, Hans-Jörg Bauer:
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization. - Chengyi Zhang, Jianguo Xie:
Adaptive-time Synchronization Algorithm for Superlattice Key Distribution. - Alexander Usvyatsov:
On sample complexity of neural networks. - Ethan Harris, Daniela Mihai, Jonathon S. Hare:
Spatial and Colour Opponency in Anatomically Constrained Deep Networks. - Wei Wang, Muhamad Risqi Utama Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni:
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. - Jiahuan Luo, Xueyang Wu, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu, Qiang Yang:
Real-World Image Datasets for Federated Learning. - Aritra Banerjee, Dimitrios Kollias:
Emotion Generation and Recognition: A StarGAN Approach. - Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao:
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. - Ivan Sosnovik, Michal Szmaja, Arnold W. M. Smeulders:
Scale-Equivariant Steerable Networks. - Kyu-Beom Lee, Hyu-Soung Shin:
An application of a deep learning algorithm for automatic detection of unexpected accidents under bad CCTV monitoring conditions in tunnels. - Neofytos Dimitriou, Ognjen Arandjelovic, Peter D. Caie:
Deep Learning for Whole Slide Image Analysis: An Overview. - Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Evading Real-Time Person Detectors by Adversarial T-shirt. - Dennis Núñez Fernández:
Development of a hand pose recognition system on an embedded computer using CNNs. - Xinxin Zhu, Longteng Guo, Peng Yao, Jing Liu, Shichen Lu, Zheng Yu, Wei Liu, Hanqing Lu:
Multi-View Features and Hybrid Reward Strategies for Vatex Video Captioning Challenge 2019. - Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna:
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. - Facundo Tuesca, Lucas C. Uzal:
Exploiting video sequences for unsupervised disentangling in generative adversarial networks. - Barak Battash, Lior Wolf:
Adaptive and Iteratively Improving Recurrent Lateral Connections. - David Donahue:
Label-Conditioned Next-Frame Video Generation with Neural Flows. - Sergey Tarasenko, Fumihiko Takahashi:
Streaming Networks: Enable A Robust Classification of Noise-Corrupted Images. - Simon Fowler:
Model-View-Update-Communicate: Session Types meet the Elm Architecture. - Zhen-Liang Ni, Gui-Bin Bian, Zeng-Guang Hou, Xiao-Hu Zhou, Xiao-Liang Xie, Zhen Li:
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments. - Ludovic Henrio, Christoph W. Kessler, Lu Li:
Leveraging access mode declarations in a model for memory consistency in heterogeneous systems. - Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou:
Face Behavior à la carte: Expressions, Affect and Action Units in a Single Network. - Ching-Da Wu, Li-Heng Chen:
Facial Emotion Recognition Using Deep Learning. - Tim Übelhör, Jonas Gesenhues, Nassim Ayoub, Ali Modabber, Dirk Abel:
Depth Camera Based Particle Filter for Robotic Osteotomy Navigation. - Shubham Dokania, Vasudev Singh:
Graph Representation learning for Audio & Music genre Classification. - Kyle Robinson, Dan Brown:
Shallow Art: Art Extension Through Simple Machine Learning. - Jianri Li, Jae-Whan Lee, Woo-Sang Song, Ki-Young Shin, Byung-Hyun Go:
Designovel's system description for Fashion-IQ challenge 2019. - Mohammad Iqbal Nouyed, Guodong Guo:
Face Detection on Surveillance Images. - Sheng Zou, Yu-Chien Tseng, Alina Zare, Diane Rowland, Barry Tillman, Seung Chul Yoon:
Peanut Maturity Classification using Hyperspectral Imagery. - Hamed Majidifard, Peng Jin, Yaw Adu-Gyamfi, William G. Buttlar:
PID: A New Benchmark Dataset to Classify and Densify Pavement Distresses. - Hammad A. Ayyubi, Md. Mehrab Tanjim, David J. Kriegman:
Enforcing Reasoning in Visual Commonsense Reasoning. - Amit Kumar Mondal, Banani Roy, Chanchal K. Roy, Kevin A. Schneider:
Micro-level Modularity of Computaion-intensive Programs in Big Data Platforms: A Case Study with Image Data. - Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Sensor fusion using EMG and vision for hand gesture classification in mobile applications. - Tristan Hascoet, Quentin Febvre, Yasuo Ariki, Tetsuya Takiguchi:
Reversible designs for extreme memory cost reduction of CNN training. - Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo:
Bootstrapping deep music separation from primitive auditory grouping principles. - Amit Kumar Sikder, Hidayet Aksu, A. Selcuk Uluagac:
A Context-aware Framework for Detecting Sensor-based Threats on Smart Devices. - Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous:
Automatically Batching Control-Intensive Programs for Modern Accelerators. - Valerii Likhosherstov, Yury Maximov, Michael Chertkov:
Tractable Minor-free Generalization of Planar Zero-field Ising Models. - Kirk Baird, Seongho Jeong, Yeonsoo Kim, Bernd Burgstaller, Bernhard Scholz:
The Economics of Smart Contracts. - Hossein Baktash, Emanuele Natale, Laurent Viennot:
A Comparative Study of Neural Network Compression. - Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard:
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. - Alexander Schaefer, Lukas Luft, Wolfram Burgard:
DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform. - Rulin Shao, Hongyu He, Hui Liu, Dianbo Liu:
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving. - Fei Hu, Wei Liu, Ajmal Saeed Mian, Li Li:
Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations. - Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel:
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. - Zheng Lian, Ya Li, Jianhua Tao, Jian Huang:
Speech Emotion Recognition via Contrastive Loss under Siamese Networks. - Petr N. Vabishchevich:
Approximate representation of the solutions of fractional elliptical BVP through the solution of parabolic IVP. - Yajun Zhao, Juan Liu, Saijin Xie:
Cubic Metric Reduction for Repetitive CAZAC Sequences in frequency domain in 5G System. - Mohamed Hamidi, Mohamed El Haziti, Hocine Cherifi, Driss Aboutajdine:
A blind Robust Image Watermarking Approach exploiting the DFT Magnitude. - Jan Mankau, Friedemann Schuricht:
A nonsmooth nonconvex descent algorithm. - Yassmeen Elderhalli, Osman Hasan, Sofiène Tahar:
Dynamic Dependability Analysis of Shuffle-exchange Networks using HOL Theorem Proving. - Yue Zhang, Rui Wang, Luo Si:
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. - Zhiwen Hu, Chuhan Wu, Zhongliang Yang, Yongfeng Huang:
Legends of Nature and Editors-in-chief. - Mohamed Hamidi, Aladine Chetouani, Mohamed El Haziti, Mohammed El Hassouni, Hocine Cherifi:
A Robust Blind 3-D Mesh Watermarking technique based on SCS quantization and mesh Saliency for Copyright Protection. - Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn:
RoboNet: Large-Scale Multi-Robot Learning. - Thuong-Hai Pham, Dominik Machácek, Ondrej Bojar:
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed. - Zhenkun Zhou, Hernán A. Makse:
Artificial intelligence for elections: the case of 2019 Argentina primary and presidential election. - André Platzer:
Overview of Logical Foundations of Cyber-Physical Systems. - Yifan Xu, Kening Zhang, Haoyu Dong, Yuezhou Sun, Wenlong Zhao, Zhuowen Tu:
Rethinking Exposure Bias In Language Modeling. - Hao Cheng, Xiaoqing Yang, Zang Li, Yanghua Xiao, Yucheng Lin:
Interpretable Text Classification Using CNN and Max-pooling. - Joon Son Chung, Jaesung Huh, Seongkyu Mun:
Delving into VoxCeleb: environment invariant speaker recognition. - Julius Witte, Daniel Arndt, Guido Kanschat:
Fast Tensor Product Schwarz Smoothers for High-Order Discontinuous Galerkin Methods. - Amogh Kamat Tarcar, Aashis Tiwari, Vineet Naique Dhaimodker, Penjo Rebelo, Rahul Desai, Dattaraj Rao:
NER Models Using Pre-training and Transfer Learning for Healthcare. - Prabhakar Gupta:
A context sensitive real-time Spell Checker with language adaptability. - Philip N. Garner, Sibo Tong:
A Bayesian Approach to Recurrence in Neural Networks. - Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung, Braeden Syrnyk, Alexander MacLean, Alexander Wong:
Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes. - Juan Manzanero, Gonzalo Rubio, David A. Kopriva, Esteban Ferrer, Eusebio Valero:
Entropy-stable discontinuous Galerkin approximation with summation-by-parts property for the incompressible Navier-Stokes/Cahn-Hilliard system. - Dimitrios Stathis, Panagiotis Chaourani, Syed M. A. H. Jafri, Ahmed Hemani:
Regional Clock Tree Generation by Abutment in Synchoros VLSI Design. - Thejan Rajapakshe, Rajib Rana, Siddique Latif, Sara Khalifa, Björn W. Schuller:
Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition. - Gabriele Valentini:
How robots in a large group make decisions as a whole? From biological inspiration to the design of distributed algorithms. - Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang:
Conversational Emotion Analysis via Attention Mechanisms. - Alexander Fengler, Saeid Haghighatshoar, Peter Jung, Giuseppe Caire:
Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access with a Massive MIMO Receiver. - Zheng Lian, Jianhua Tao, Zhengqi Wen, Bin Liu, Yibin Zheng, Rongxiu Zhong:
Towards Fine-Grained Prosody Control for Voice Conversion. - Qian Zheng:
Emotion recognition with 4kresolution database. - Xudong Lin, Zheng Shou, Shih-Fu Chang:
LPAT: Learning to Predict Adaptive Threshold for Weakly-supervised Temporal Action Localization. - Nadav Oved, Amir Feder, Roi Reichart:
Predicting In-game Actions From the Language of NBA Players. - Milan Straka, Jana Straková:
ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task. - Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun:
Identifying Unknown Instances for Autonomous Driving. - Paul Irofti, Andrei Patrascu, Andra Baltoiu:
Fraud Detection in Networks: State-of-the-art. - An Yan, Xin Wang, Jiangtao Feng, Lei Li, William Yang Wang:
Cross-Lingual Vision-Language Navigation. - Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman:
Controllable Attention for Structured Layered Video Decomposition. - Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller. - Andra Baltoiu, Andrei Patrascu, Paul Irofti:
Community-Level Anomaly Detection for Anti-Money Laundering. - Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. - Georgios Pavlakos, Nikos Kolotouros, Kostas Daniilidis:
TexturePose: Supervising Human Mesh Estimation with Texture Consistency. - Vikraman Arvind, Frank Fuhlbrück, Johannes Köbler, Oleg Verbitsky:
On the Weisfeiler-Leman Dimension of Fractional Packing. - Badour Albahar, Jia-Bin Huang:
Guided Image-to-Image Translation with Bi-Directional Feature Transformation. - Rudrasis Chakraborty, Yifei Xing, Stella X. Yu:
Surreal: Complex-Valued Deep Learning as Principled Transformations on a Rotational Lie Group. - Orly Liba, Kiran Murthy, Yun-Ta Tsai, Tim Brooks, Tianfan Xue, Nikhil Karnad, Qiurui He, Jonathan T. Barron, Dillon Sharlet, Ryan Geiss, Samuel W. Hasinoff, Yael Pritch, Marc Levoy:
Handheld Mobile Photography in Very Low Light. - Vickram Rajendran, William LeVine:
Accurate Layerwise Interpretable Competence Estimation. - Sri Kalyan Yarlagadda, Sriram Baireddy, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu:
Learning eating environments through scene clustering. - Viet Dac Lai, Thien Huu Nguyen:
Extending Event Detection to New Types with Learning from Keywords. - Gregory P. Meyer, Niranjan Thakurdesai:
Learning an Uncertainty-Aware Object Detector for Autonomous Driving. - Chani Jindal, Christopher Salls, Hojjat Aghakhani, Keith Long, Christopher Kruegel, Giovanni Vigna:
Neurlux: Dynamic Malware Analysis Without Feature Engineering. - Sunyang Fu, David Chen, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Yanshan Wang, Liwei Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu:
Development of Clinical Concept Extraction Applications: A Methodology Review. - Subhrajit Sinha, Pranav Sharma, Venkataramana Ajjarapu, Umesh Vaidya:
Information Based Data-Driven Characterization of Stability and Influence in Power Systems. - Sahar Hojjatinia, Mahdi Aliyari Shoorehdeli, Zahra Fatahi, Zeinab Hojjatinia, Abbas Haghparast:
Improvement of the Izhikevich model based on the rat basolateral amygdala and hippocampus neurons, and recognition of their possible firing patterns. - Shahan Ali Memon, Hira Dhamyal, Oren Wright, Daniel Justice, Vijaykumar Palat, William Boler, Yandong Wen, Bhiksha Raj, Rita Singh:
Detecting gender differences in perception of emotion in crowdsourced data. - Eric J. Parish, Kevin T. Carlberg:
Windowed least-squares model reduction for dynamical systems. - Daniel T. Chang:
Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Classification. - Christopher Duffy:
A Note on Colourings of Connected 2-edge Coloured Cubic Graphs. - Manirupa Das, Renhao Cui:
Comparison of Quality Indicators in User-generated Content Using Social Media and Scholarly Text. - Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu:
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations. - Run-Ran Liu, Chun-Xiao Jia, Ying-Cheng Lai:
Asymmetry in interdependence makes a multilayer system more robust against cascading failures. - Cinjon Resnick, Abhinav Gupta, Jakob N. Foerster, Andrew M. Dai, Kyunghyun Cho:
Capacity, Bandwidth, and Compositionality in Emergent Language Learning. - Kai Shu, Ahmed Hassan Awadallah, Susan T. Dumais, Huan Liu:
Detecting Fake News with Weak Social Supervision. - Chengshu Li, Fei Xia, Roberto Martin Martin, Silvio Savarese:
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators. - Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner:
How Do Code Changes Evolve in Different Platforms? A Mining-based Investigation. - Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. - Bhanu Teja Yandrapalli, Josette Jones, Saptarshi Purkayastha:
Development and Implementation of a Dashboard for Diabetes Care Management in OpenMRS. - Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray:
Animal Detection in Man-made Environments. - Hongzhao Huang, Fuchun Peng:
An Empirical Study of Efficient ASR Rescoring with Transformers. - Ananth Balashankar, Alyssa Lees:
Fairness Sample Complexity and the Case for Human Intervention. - Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso:
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. - Vikas Yadav, Steven Bethard:
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. - K. M. Tahsin Hassan Rahit, Rashidul Hasan Nabil, Md Hasibul Huq:
Machine Translation from Natural Language to Code using Long-Short Term Memory. - Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal:
QASC: A Dataset for Question Answering via Sentence Composition. - Weijiang Yu, Jingwen Zhou, Weihao Yu, Xiaodan Liang, Nong Xiao:
Heterogeneous Graph Learning for Visual Commonsense Reasoning. - Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li:
A Unified MRC Framework for Named Entity Recognition. - Kiryung Lee, Sohail Bahmani, Yonina C. Eldar, Justin Romberg:
Phase Retrieval of Low-Rank Matrices by Anchored Regression. - Lingjuan Lyu, Yee Wei Law, Kee Siong Ng:
Distributed Privacy-Preserving Prediction. - Lingzhi Zhang, Jiancong Wang, Jianbo Shi:
Multimodal Image Outpainting With Regularized Normalized Diversification. - Zeeshan Ahmad, Naimul Mefraz Khan:
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors. - Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee:
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models. - Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang:
Attention Optimization for Abstractive Document Summarization. - Vikas Ramachandra:
Causal inference for climate change events from satellite image time series using computer vision and deep learning. - Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu, Chaitanya Malaviya, Lawrence Wolf-Sonkin, Garrett Nicolai, Christo Kirov, Miikka Silfverberg, S. J. Mielke, Jeffrey Heinz, Ryan Cotterell, Mans Hulden:
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. - Danyang Liu, Jianxun Lian, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie:
Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations. - Lingzhi Zhang, Tarmily Wen, Jianbo Shi:
Deep Image Blending. - Yuanfeng Song, Di Jiang, Xuefang Zhao, Qian Xu, Raymond Chi-Wing Wong, Lixin Fan, Qiang Yang:
L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition. - Diego L. Guarin, Yana Yunusova, Babak Taati, Joseph R. Dusseldorp, Suresh Mohan, Joana Tavares, Martinus M. van Veen, Emily Fortier, Tessa A. Hadlock, Nate Jowett:
Toward an Automatic System for Computer-Aided Assessment in Facial Palsy. - Yoshihide Sawada, Koji Morikawa, Mikiya Fujii:
Study of Deep Generative Models for Inorganic Chemical Compositions. - Xiaoyan Kuai, Xiaojun Yuan, Wenjing Yan, Hang Liu, Ying Jun Zhang:
Double-Sparsity Learning Based Channel-and-Signal Estimation in Massive MIMO with Generalized Spatial Modulation. - Eugenio Aulisa, Giacomo Capodaglio, Guoyi Ke:
A computational study of preconditioning techniques for the stochastic diffusion equation with lognormal coefficient. - Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. - Cong Fang, Hanze Dong, Tong Zhang:
Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations. - Imanne El Maachi, Guillaume-Alexandre Bilodeau, Wassim Bouachir:
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait. - Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang:
The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters. - Xuesong Niu, Hu Han, Shiguang Shan, Xilin Chen:
RhythmNet: End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation. - Noga Alon, Raef Bassily, Shay Moran:
Limits of Private Learning with Access to Public Data. - Palash Dey, Sourav Medya:
Manipulating Node Similarity Measures in Network. - Yusuke Niitani, Toru Ogawa, Shuji Suzuki, Takuya Akiba, Tommi Kerola, Kohei Ozaki, Shotaro Sano:
Team PFDet's Methods for Open Images Challenge 2019. - Haodong Duan, Kwan-Yee Lin, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang:
TRB: A Novel Triplet Representation for Understanding 2D Human Body. - Yash Shah, Ishan Tarunesh, Harsh Deshpande, Preethi Jyothi:
Stem-driven Language Models for Morphologically Rich Languages. - Kenji Yamanishi:
Descriptive Dimensionality and Its Characterization of MDL-based Learning and Change Detection. - Alkis Gotovos:
Strong Log-Concavity Does Not Imply Log-Submodularity. - Yiheng Liu, Wengang Zhou, Jianzhuang Liu, Guojun Qi, Qi Tian, Houqiang Li:
An End-to-End Foreground-Aware Network for Person Re-Identification. - Jie He, Tao Chen, Zhijun Zhang:
A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification. - Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng:
Fast Structured Decoding for Sequence Models. - Yung-Sung Chuang, Chi-Liang Liu, Hung-yi Lee:
SpeechBERT: Cross-Modal Pre-trained Language Model for End-to-end Spoken Question Answering. - Qiaokang Xie, Wengang Zhou, Guo-Jun Qi, Qi Tian, Houqiang Li:
Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization. - Mojmír Mutný, Michal Derezinski, Andreas Krause:
Convergence Analysis of the Randomized Newton Method with Determinantal Sampling. - Jian Li, Yan Wang, Xiubao Zhang, Weihong Deng, Haifeng Shen:
Metric Classification Network in Actual Face Recognition Scene. - Mitsuru Funakoshi, Julian Pape-Lange:
Non-Rectangular Convolutions and (Sub-)Cadences with Three Elements. - Thomas Trouchkine, Sébanjila Kevin Bukasa, Mathieu Escouteloup, Ronan Lashermes, Guillaume Bouffard:
Electromagnetic fault injection against a System-on-Chip, toward new micro-architectural fault models. - Mathieu N. Galtier, Camille Marini:
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning. - Niels C. Taubert, Anne Hobert, Nicholas Fraser, Najko Jahn, Elham Iravani:
Open Access - Towards a non-normative and systematic understanding. - José Gómez-Torrecillas, Francisco Javier Lobillo, Gabriel Navarro, José Patricio Sánchez-Hernández:
Peterson-Gorenstein-Zierler algorithm for differential convolutional codes. - Giovanni Stabile, Bojana Rosic:
Bayesian identification of a projection-based Reduced Order Model for Computational Fluid Dynamics Computers and Fluids. - Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler:
CrevNet: Conditionally Reversible Video Prediction. - Daiki Miyagawa, Genki Ichinose:
Cellular automaton model with turning behavior in crowd evacuation. - Stefan Irimescu, Can Berker Cikis, Ghislain Fourny, Gustavo Alonso:
Rumble: data independence when data is in a mess. - Esma Balkir, Masha Naslidnyk, Dave Palfrey, Arpit Mittal:
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets. - Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein:
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? - Florian Frohn, Marcel Hark, Jürgen Giesl:
On the Decidability of Termination for Polynomial Loops. - Jisung Wang, Jihwan Kim, Sangki Kim, Yeha Lee:
Exploring Lexicon-Free Modeling Units for End-to-End Korean and Korean-English Code-Switching Speech Recognition. - Jens Oliver Gutsfeld, Markus Müller-Olm, Christian Dielitz:
Temporal Logics with Language Parameters. - Elena Codreanu, Christine Michel, Marc-Eric Bobillier-Chaumon, Olivier Vigneau:
Assessing the Adoption of Virtual Learning Environments in Primary Schools: An Activity Oriented Study of Teacher's Acceptance. - Panagiotis Linardos, Suzanne Little, Kevin McGuinness:
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. - Grigoriy A. Yashin, Daria Trinitatova, Ruslan T. Agishev, Roman Ibrahimov, Dzmitry Tsetserukou:
AeroVR: Virtual Reality-based Teleoperation with Tactile Feedback for Aerial Manipulation. - Koyel Mukherjee, Alind Khare, Ashish Verma:
A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. - Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu:
Hardware-aware One-Shot Neural Architecture Search in Coordinate Ascent Framework. - Bruno Vilhena Adorno, Murilo Marques Marinho:
DQ Robotics: a Library for Robot Modeling and Control Using Dual Quaternion Algebra. - Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen:
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection. - Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros:
Autonomous docking using direct optimal control. - David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba:
Seeing What a GAN Cannot Generate. - Danel Ahman, Andrej Bauer:
Runners in action. - Mikel Bober-Irizar, Miha Skalic, David Austin:
Learning to Localize Temporal Events in Large-scale Video Data. - Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner:
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. - Daniele Giunchi, Stuart James, Donald Degraen, Anthony Steed:
Mixing realities for sketch retrieval in Virtual Reality. - Chau Luu, Peter Bell, Steve Renals:
Channel adversarial training for speaker verification and diarization. - Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo:
Reducing Domain Gap via Style-Agnostic Networks. - Shizhou Zhang, Yifei Yang, Peng Wang, Xiuwei Zhang, Yanning Zhang:
Attend to the Difference: Cross-Modality Person Re-identification via Contrastive Correlation. - Joshua Moerman, Matteo Sammartino:
Residual Nominal Automata. - Anurag Ranjan, David T. Hoffmann, Dimitrios Tzionas, Siyu Tang, Javier Romero, Michael J. Black:
Learning Multi-Human Optical Flow. - Mia Kokic, Danica Kragic, Jeannette Bohg:
Learning Task-Oriented Grasping from Human Activity Datasets. - Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine:
Contextual Imagined Goals for Self-Supervised Robotic Learning. - Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu:
Hierarchical Prototype Learning for Zero-Shot Recognition. - Carlos E. Budde, Marco Biagi, Raúl E. Monti, Pedro R. D'Argenio, Mariëlle Stoelinga:
Rare Event Simulation for non-Markovian repairable Fault Trees. - Bowen Weng, Lin Zhao, Huaqing Xiong, Wei Zhang:
Momentum-based Accelerated Q-learning. - Imad El Hanouti, Hakim el Fadili:
Security analysis of an audio data encryption scheme based on key chaining and DNA encoding. - Imad El Hanouti, Hakim el Fadili, Khalid Zenkouar:
Breaking an image encryption scheme based on Arnold map and Lucas series. - Imad El Hanouti, Hakim el Fadili, Khalid Zenkouar:
Cryptanalysis of a Chaos-Based Fast Image Encryption Algorithm for Embedded Systems. - Marcel Keller, Ke Sun:
A Note on Our Submission to Track 4 of iDASH 2019. - Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto:
Task-Motion Planning for Navigation in Belief Space. - Michael Everett, Yu Fan Chen, Jonathan P. How:
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning. - Andreas Stolcke:
Improving Diarization Robustness using Diversification, Randomization and the DOVER Algorithm. - Siddhartha S. Borkotoky, Udo Schilcher, Christian Raffelsberger:
Application-Layer Coding with Intermittent Feedback under Delay and Duty-Cycle Constraints. - William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak:
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. - Lutz Bornmann, Robin Haunschild, Rüdiger Mutz:
Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching. - Wei Cai, Zhi-Qin John Xu:
Multi-scale Deep Neural Networks for Solving High Dimensional PDEs. - Carmen Campos, José E. Román:
NEP: a module for the parallel solution of nonlinear eigenvalue problems in SLEPc. - Fatih Can Kurnaz, Burak Hocaoglu, Mert Kaan Yilmaz, Idil Sülo, Sinan Kalkan:
ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild. - Roland Meyer, Sebastian Wolff:
Pointer Life Cycle Types for Lock-Free Data Structures with Memory Reclamation. - Sebastian Graf, Simon Peyton Jones:
Selective Lambda Lifting. - Zhibing Zhao, Lirong Xia:
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders. - Antal Spector-Zabusky, Joachim Breitner, Yao Li, Stephanie Weirich:
Embracing a mechanized formalization gap. - Eerik Mantere:
What Smartphones, Ethnomethodology, and Bystander Inaccessibility Can Teach Us About Better Design? - Dengji Zhao, Yiqing Huang, Liat Cohen, Tal Grinshpoun:
Coalitional Games with Stochastic Characteristic Functions and Private Types. - Luís Cruz-Filipe, Fabrizio Montesi, Larisa Safina:
Implementing choreography extraction. - Gianluca Villani, Matin Jafarian, Anders Lansner, Karl Henrik Johansson:
Analysis of free recall dynamics of an abstract working memory model. - Loïc Gondry, Ludovic Hofer, Patxi Laborde-Zubieta, Olivier Ly, Lucie Mathé, Grégoire Passault, Antoine Pirrone, Antun Skuric:
Rhoban Football Club: RoboCup Humanoid KidSize 2019 Champion Team Paper. - Jonathan Blanchette, Robert Laganière:
A Curious Link Between Prime Numbers, the Maundy Cake Problem and Parallel Sorting. - L. Sunil Chandran, Abhiruk Lahiri, Nitin Singh:
Improved Approximation for Maximum Edge Colouring Problem. - Diego Pennino, Maurizio Pizzonia, Alessio Papi:
Overlay Indexes: Efficiently Supporting Aggregate Range Queries and Authenticated Data Structures in Off-the-Shelf Databases. - Sadaf Mustafiz, Omar Hassane, Guillaume Dupont, Ferhat Khendek, Maria Toeroe:
Model-Driven Process Enactment for NFV Systems with MAPLE. - Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret:
On the Tunability of Optimizers in Deep Learning. - Chuang Gan, Hang Zhao, Peihao Chen, David D. Cox, Antonio Torralba:
Self-supervised Moving Vehicle Tracking with Stereo Sound. - Tian-Rui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki:
Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection. - Liu Ying, Heng Fan, Fuchuan Ni, Jinhai Xiang:
ClsGAN: Selective Attribute Editing Based On Classification Adversarial Network. - Chen Liu, Anderson de Andrade, Muhammad Osama:
Exploring Multilingual Syntactic Sentence Representations. - Chen Liu, Muhammad Osama, Anderson de Andrade:
DENS: A Dataset for Multi-class Emotion Analysis. - Flavien Prost, Hai Qian, Qiuwen Chen, Ed H. Chi, Jilin Chen, Alex Beutel:
Toward a better trade-off between performance and fairness with kernel-based distribution matching. - Walter Didimo, Giuseppe Liotta, Giacomo Ortali, Maurizio Patrignani:
Optimal Orthogonal Drawings of Planar 3-Graphs in Linear Time. - Anurag Kumar, Vamsi Krishna Ithapu:
SeCoST: Sequential Co-Supervision for Weakly Labeled Audio Event Detection. - Keith Vella, Massimo Poesio, Michael Sigamani, Cihan Dogan, Aimore Dutra, Dimitrios Dimakopoulos, Alfredo Gemma, Ella Walters:
Measuring Conversational Fluidity in Automated Dialogue Agents. - Yajing Chen, Fanzi Wu, Zeyu Wang, Yibing Song, Yonggen Ling, Linchao Bao:
Self-supervised Learning of Detailed 3D Face Reconstruction. - Roberto Martín-Martín, Hamid Rezatofighi, Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Nathan Dass, Alan Federman, Patrick Goebel, Silvio Savarese:
JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments. - Thibault Gauthier:
Deep Reinforcement Learning in HOL4. - Dmitri E. Nikonov, P. Kurahashi, J. S. Ayers, Hyung-Jin Lee, Y. Fan, Ian A. Young:
Convolution Inference via Synchronization of a Coupled CMOS Oscillator Array. - Dmitri E. Nikonov, P. Kurahashi, J. S. Ayers, Hyung-Jin Lee, Y. Fan, Ian A. Young:
A Coupled CMOS Oscillator Array for 8ns and 55pJ Inference in Convolutional Neural Networks. - Bin Sun, Ming Shao, Siyu Xia, Yun Fu:
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network. - Yuanhao Yue, Qin Zou, Hongkai Yu, Qian Wang, Song Wang:
An End-to-End Network for Co-Saliency Detection in One Single Image. - Andrea Raffo, Silvia Biasotti:
Weighted Quasi Interpolant Spline Approximations: Properties and Applications. - MohammadTaghi Hajiaghayi, Hamed Saleh, Saeed Seddighin, Xiaorui Sun:
Massively Parallel Algorithms for String Matching with Wildcards. - Kaifeng Bi, Changping Hu, Lingxi Xie, Xin Chen, Longhui Wei, Qi Tian:
Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters. - Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata:
Evaluation of Sentence Representations in Polish. - Kathrin Smetana, Olivier Zahm:
Randomized residual-based error estimators for the Proper Generalized Decomposition approximation of parametrized problems. - Yangxin Lin, Ping Wang, Yang Zhou, Fan Ding, Chen Wang, Huachun Tan:
Platoon trajectories generation: A unidirectional interconnected LSTM-based car following model. - Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
Learning to Track Any Object. - Alberto Paoluzzi, Vadim Shapiro, Antonio DiCarlo, Giorgio Scorzelli, Elia Onofri:
Finite Boolean Algebras for Solid Geometry using Julia's Sparse Arrays. - Pasin Manurangsi:
Tight Running Time Lower Bounds for Strong Inapproximability of Maximum k-Coverage, Unique Set Cover and Related Problems (via t-Wise Agreement Testing Theorem). - Bin Sun, Jun Li, Ming Shao, Yun Fu:
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution. - Mikel Artetxe, Sebastian Ruder, Dani Yogatama:
On the Cross-lingual Transferability of Monolingual Representations. - Colin White, Willie Neiswanger, Yash Savani:
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. - Margaret M. Coad, Rachel P. Thomasson, Laura H. Blumenschein, Nathan S. Usevitch, Elliot W. Hawkes, Allison M. Okamura:
Retraction of Soft Growing Robots without Buckling. - Yunquan Dong, Zhengchuan Chen, Shanyun Liu, Pingyi Fan, Khaled Ben Letaief:
Age-upon-Decisions Minimizing Scheduling in Internet of Things: To be Random or to be Deterministic? - Umur Karabulut, Ahmad Awada, Ingo Viering, André Noll Barreto, Gerhard P. Fettweis:
Analysis and Performance Evaluation of Conditional Handover in 5G Beamformed Systems. - Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt:
Approximation of solutions to non-stationary Stokes system. - Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient. - Xinwei Chen, Marlin W. Ulmer, Barrett W. Thomas:
Deep Q-Learning for Same-Day Delivery with a Heterogeneous Fleet of Vehicles and Drones. - Ariel A. Calderón, Ying Chen, Xiufeng Yang, Longlong Chang, Xuan-Truc Nguyen, E. K. Singer, Néstor Osvaldo Pérez-Arancibia:
Control of Flying Robotic Insects: A Perspective and Unifying Approach. - Jens Clausen, Walter L. Boyajian, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel:
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes. - Anuradha Banerjee, Abu Sufian, Paramartha Dutta:
Minus HELLO: Minus Hello Embedded Protocols for Energy Preservation in Mobile Ad-hoc networks. - Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M. Hegde:
Model Free Calibration of Wheeled Robots Using Gaussian Process. - Sivaramakrishnan Natarajan Ramamoorthy, Cyrus Rashtchian:
Equivalence of Systematic Linear Data Structures and Matrix Rigidity. - Chris Emmery, Ben Verhoeven, Guy De Pauw, Gilles Jacobs, Cynthia Van Hee, Els Lefever, Bart Desmet, Véronique Hoste, Walter Daelemans:
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity. - Eran Malach, Shai Shalev-Shwartz:
Learning Boolean Circuits with Neural Networks. - Benjamin Mourad, Matteo Cimini:
A Calculus for Language Transformations. - Ajay Kumar Shrestha, Julita Vassileva:
User Data Sharing Frameworks: A Blockchain-Based Incentive Solution. - Min Zhang, Weizhang Huang, Jianxian Qiu:
High-order conservative positivity-preserving DG-interpolation for deforming meshes and application to moving mesh DG simulation of radiative transfer. - Silviu Oprea, Walid Magdy:
Exploring Author Context for Detecting Intended vs Perceived Sarcasm. - Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Improving Graph Attention Networks with Large Margin-based Constraints. - Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giró-i-Nieto:
Automatic Reminiscence Therapy for Dementia. - Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood:
Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. - Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman:
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. - Jan van den Brand:
A Deterministic Linear Program Solver in Current Matrix Multiplication Time. - Matt Whitehill, Shuang Ma, Daniel McDuff, Yale Song:
Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency. - Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna, Xiong Zhou, Orchid Majumder, Vineet Khare:
FineText: Text Classification via Attention-based Language Model Fine-tuning. - William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood:
Attention for Inference Compilation. - Gabriel Stanovsky, Ronen Tamari:
Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts. - Charles-Éric Noël Laflamme, François Pomerleau, Philippe Giguère:
Driving Datasets Literature Review. - Zhilin Yu, Chao Wang, Qing Wu, Yong Zhao, Xundong Wu:
Cross-Channel Intragroup Sparsity Neural Network. - Chao Tian:
On the Storage Cost of Private Information Retrieval. - Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. - Liang Shen, Jiahua Zhu, Chongyi Fan, Xiaotao Huang, Tian Jin:
Novel Co-variant Feature Point Matching Based on Gaussian Mixture Model. - Nan Chen, Mushu Li, Miao Wang, Jinghuan Ma, Xuemin Shen:
Compensation of Charging Station Overload via On-road Mobile Energy Storage Scheduling. - Patrick Kreitzberg, Kyle Lucke, Oliver Serang:
Selection on X1+X2+⋅⋅⋅ + Xm with layer-ordered heaps. - Rafael Valle, Jason Li, Ryan Prenger, Bryan Catanzaro:
Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens. - Haibin Yu, Yizhou Chen, Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet:
Implicit Posterior Variational Inference for Deep Gaussian Processes. - Ankita Samaddar, Arvind Easwaran, Rui Tan:
SlotSwapper: A Schedule Randomization protocol for Real-Time WirelessHART Networks. - Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views. - Chanho Eom, Bumsub Ham:
Learning Disentangled Representation for Robust Person Re-identification. - Eduardo Fonseca, Frederic Font, Xavier Serra:
Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers. - Aditya Grover, Kristy Choi, Rui Shu, Stefano Ermon:
Fair Generative Modeling via Weak Supervision. - Hao Kong, Zhouchen Lin:
Tensor Q-Rank: A New Data Dependent Tensor Rank. - Kaivalya Rawal, Arijit Khan:
Maximizing Contrasting Opinions in Signed Social Networks. - Philip J. Purnell:
The effect of the Indonesian higher education evaluation system on conference proceedings publications. - Huanhou Xiao, Jinglun Shi:
Diverse Video Captioning Through Latent Variable Expansion with Conditional GAN. - Ehsan Jeihaninejad, Azam Rabiee:
D-Point Trigonometric Path Planning based on Q-Learning in Uncertain Environments. - Yue Zhang, Ziyuan Zhu, Dan Meng:
DDM: A Demand-based Dynamic Mitigation for SMT Transient Channels. - Chulwook Park:
Network Characteristics Control Social Dilemmas in a Public Good Game: A Mechanical Framework. - François Waldner, Foivos I. Diakogiannis:
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network. - Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar:
SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction. - Ehsan Jeihaninejad, Azam Rabiee:
On the Efficiency of the Neuro-Fuzzy Classifier for User Knowledge Modeling Systems. - Duncan Adamson, Argyrios Deligkas, Vladimir V. Gusev, Igor Potapov:
On the Hardness of Energy Minimisation for Crystal Structure Prediction. - Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee:
Consistency Regularization for Generative Adversarial Networks. - Ju Yong Chang, Gyeongsik Moon, Kyoung Mu Lee:
AbsPoseLifter: Absolute 3D Human Pose Lifting Network from a Single Noisy 2D Human Pose. - Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou, Chang-Lun Liu, Jinn-Liang Liu:
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving. - Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation. - Mogens Graf Plessen:
Freeform Path Fitting for the Minimisation of the Number of Transitions between Headland Path and Interior Lanes within Agricultural Fields. - Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Khlood Alshaikh, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
Stochastic Geometry Analysis of Hybrid Aerial Terrestrial Networks with mmWave Backhauling. - Fengwei Li, Yansheng Wu, Qin Yue:
A class of functions with low-valued Walsh spectrum. - Shuai Zhao, Yang Wang, Zheng Yang, Deng Cai:
Region Mutual Information Loss for Semantic Segmentation. - Lei Cao, Huijun Zhang, Ling Feng, Zihan Wei, Xin Wang, Ningyun Li, Xiaohao He:
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention. - Xingyuan Bu, Junran Peng, Changbao Wang, Cunjun Yu, Guoliang Cao:
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019. - Yuan Lin, John McPhee, Nasser L. Azad:
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. - Hoon Lee, Tony Q. S. Quek, Sang Hyun Lee:
A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver. - Yunus Esencayi, Marco Gaboardi, Shi Li, Di Wang:
Facility Location Problem in Differential Privacy Model Revisited. - Lin Xu:
A Preliminary Study on Optimal Placement of Cameras. - Chunjin Song, Zhijie Wu, Yang Zhou, Minglun Gong, Hui Huang:
ETNet: Error Transition Network for Arbitrary Style Transfer. - He Ye, Jian Gu, Matias Martinez, Thomas Durieux, Martin Monperrus:
Automated Classification of Overfitting Patches with Statically Extracted Code Features. - Qing Zhu, Cheng Liao, Han Hu, Xiaoming Mei, Haifeng Li:
MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery. - Srinidhi Hegde, Ranjitha Prasad, Ramya Hebbalaguppe, Vishwajith Kumar:
Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework. - Mohammad Reza Daneshvaramoli, Mohammad Sina Kiarostami, Saleh Khalaj Monfared, Helia Karisani, Hamed Khashehchi, Dara Rahmati, Saeid Gorgin, Amir Rahmati:
Decentralized Cooperative Communication-less Multi-Agent Task Assignment with Monte-Carlo Tree Search. - Mukhtar Fatihu Hamza, Abdulbasid Ismail Isa, Jamilu Kamilu Adamu:
Analysis on Advancement of Hybrid Fuzzy Sliding Mode Controllers for Nonlinear Systems. - Jillian Tompkins:
Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments. - Aditya Pandey, Abhishek Sinha, Aishwarya PS:
Intrusion Detection using Sequential Hybrid Model. - Zehao Dou, Xiang Yan, Dongge Wang, Xiaotie Deng:
Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning. - Usman Kabir, Mukhtar Fatihu Hamza, Ado Haruna, Gaddafi Sani Shehu:
Performance Analysis of PID, PD and Fuzzy Controllers for Position Control of 3-Dof Robot Manipulator. - Johannes Köhler, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer:
A computationally efficient robust model predictive control framework for uncertain nonlinear systems. - Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich:
Detection of Adversarial Attacks and Characterization of Adversarial Subspace. - Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
A holistic approach to polyphonic music transcription with neural networks. - Sergei Ivanov, Sergei Sviridov, Evgeny Burnaev:
Understanding Isomorphism Bias in Graph Data Sets. - Jui-Yang Hsu, Yuan-Jui Chen, Hung-yi Lee:
Meta Learning for End-to-End Low-Resource Speech Recognition. - Philipp Bader, Sergio Blanes, Fernando Casas, Mechthild Thalhammer:
Efficient time integration methods for Gross-Pitaevskii equations with rotation term. - Keqiang Sun, Wayne Wu, Tinghao Liu, Shuo Yang, Quan Wang, Qiang Zhou, Zuochang Ye, Chen Qian:
FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos. - Rokas Jurevicius, Virginijus Marcinkevicius, Justinas Seibokas:
Robust GNSS Denied Localization for UAV Using Particle Filter and Visual Odometry. - Juraj Juraska, Kevin K. Bowden, Marilyn A. Walker:
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation. - Soumyasundar Pal, Florence Regol, Mark J. Coates:
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning. - Shengyi Huang, Santiago Ontañón:
Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS. - Rupak Majumdar, Kaushik Mallik, Sadegh Soudjani:
Symbolic Controller Synthesis for Büchi Specifications on Stochastic Systems. - Shi Jin, Yuhua Zhu, Enrique Zuazua:
The Vlasov-Fokker-Planck Equation with High Dimensional Parametric Forcing Term. - Jingbo Zhou, Xinmiao Zhang:
Generalized SAT-Attack-Resistant Logic Locking. - Jeff Orchard, Wei Sun:
Making Predictive Coding Networks Generative. - Mark Embree, Antonio Cosmin Ionita:
Pseudospectra of Loewner Matrix Pencils. - Daniel Seita, David M. Chan, Roshan Rao, Chen Tang, Mandi Zhao, John F. Canny:
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations. - Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang:
Convergent Policy Optimization for Safe Reinforcement Learning. - Jie Zhou, Yufei Du, Lele Ma, Zhuojia Shen, John Criswell, Robert J. Walls:
Silhouette: Efficient Intra-Address Space Isolation for Protected Shadow Stacks on Embedded Systems. - Mathews Jacob, Merry P. Mani, Jong Chul Ye:
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning. - Jia Xu, Yiming Li, Yang Bai, Yong Jiang, Shu-Tao Xia:
Adversarial Defense Via Local Flatness Regularization. - Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang:
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization. - Eunjin Oh, Hee-Kap Ahn:
Computing the Center Region and Its Variants. - Dhruv Rohatgi:
Near-Optimal Bounds for Online Caching with Machine Learned Advice. - T.-H. Hubert Chan, Zhibin Liang, Antigoni Polychroniadou, Elaine Shi:
Small Memory Robust Simulation of Client-Server Interactive Protocols over Oblivious Noisy Channels. - Eunjin Oh, Sang Won Bae, Hee-Kap Ahn:
Computing a Geodesic Two-Center of Points in a Simple Polygon. - Hessam Mahdavifar, Najme Ebrahimi:
Secret Key Generation via Pulse-Coupled Synchronization. - Xinyue Chen, Zijian Zhou, Zheng Wang, Che Wang, Yanqiu Wu, Qing Deng, Keith W. Ross:
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning. - Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding. - Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Domain Adaptation for Semantic Segmentation. - Chao Chen, Severin Reiz, Chenhan D. Yu, Hans-Joachim Bungartz, George Biros:
Fast Evaluation and Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron. - Weizhu Bao, Lizhen Chen, Xiaoyun Jiang, Ying Ma:
A Jacobi spectral method for computing eigenvalue gaps and their distribution statistics of the fractional Schrödinger operator. - Sabri Boughorbel, Fethi Jarray, Neethu Venugopal, Shabir Moosa, Haithum Elhadi, Michel Makhlouf:
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data. - Marco Cavallo, Mishal Dholakia, Matous Havlena, Kenneth Ocheltree, Mark Podlaseck:
Immersive Insights: A Hybrid Analytics System for Collaborative Exploratory Data Analysis. - Rita Fioresi, Pratik Chaudhari, Stefano Soatto:
A geometric interpretation of stochastic gradient descent using diffusion metrics. - Yuan Zang, Chenghao Yang, Fanchao Qi, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun:
Open the Boxes of Words: Incorporating Sememes into Textual Adversarial Attack. - Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell:
Look-up and Adapt: A One-shot Semantic Parser. - Rohit Pandey, Yingnong Dang, Ali Vira, Aerin Young Kim, Gil Lapid Shafriri, Murali Chintalapati:
Annual Interruption Rate as a KPI, its measurement and comparison. - Ruochen Jiang, Changbo Qu, Jiannan Wang, Chi Wang, Yudian Zheng:
Towards Extracting Highlights From Recorded Live Videos: An Implicit Crowdsourcing Approach. - Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li:
CONNA: Addressing Name Disambiguation on The Fly. - Vaibhav Vaibhav, Raghuram Mandyam Annasamy, Eduard H. Hovy:
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification. - Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias:
Spectral Algorithm for Low-rank Multitask Regression. - Venkatesh R, Anand Metha:
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net. - Jialin Lu, Martin Ester:
An Active Approach for Model Interpretation. - Wannes De Groote, Edward Kikken, Erik Hostens, Sofie Van Hoecke, Guillaume Crevecoeur:
Neural Network Augmented Physics Models for Systems with Partially Unknown Dynamics: Application to Slider-Crank Mechanism. - Eshed Ram, Yuval Cassuto:
Spatially Coupled LDPC Codes with Sub-Block Locality. - Jing Zhang, Zhe Chen, Dacheng Tao:
Human Keypoint Detection by Progressive Context Refinement. - Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro:
EdgeFool: An Adversarial Image Enhancement Filter. - Neta Zmora, Guy Jacob, Lev Zlotnik, Bar Elharar, Gal Novik:
Neural Network Distiller: A Python Package For DNN Compression Research. - Seyede Fatemeh Noorani, Mohammad Hossein Manshaei, Mohammad Ali Montazeri, Behnaz Omoomi:
Fostering Peer Learning through a New Game-Theoretical Approach in a Blended Learning Environment. - Yue Wang, Justin M. Solomon:
PRNet: Self-Supervised Learning for Partial-to-Partial Registration. - Danhao Zhu, Xin-Yu Dai, Jiajun Chen:
Pre-train and Learn: Preserve Global Information for Graph Neural Networks. - Xiaomeng Zhu, Yansheng Wu, Qin Yue:
New quaternary codes derived from posets of the disjoint union of two chains. - Zhengxuan Ling, Xinyu Tao, Yu Zhang, Xi Chen:
Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem. - Yazan Boshmaf, Charitha Elvitigala, Husam Al Jawaheri, Primal Wijesekera, Mashael Al Sabah:
Investigating MMM Ponzi scheme on Bitcoin. - Junyu Liu, Xiang Li, Jin Wang, Jiqiang Zhou, Jianxiong Shen:
Prediction stability as a criterion in active learning. - Jin Sima, Jehoshua Bruck:
Optimal k-Deletion Correcting Codes. - Jianbang Ding, Xuancheng Ren, Ruixuan Luo, Xu Sun:
An Adaptive and Momental Bound Method for Stochastic Learning. - Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum:
Kernel Stein Tests for Multiple Model Comparison. - Yotam M. Y. Feldman, Neil Immerman, Mooly Sagiv, Sharon Shoham:
Complexity and Information in Invariant Inference. - Martin Hirzer, Peter M. Roth, Vincent Lepetit:
Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation. - Qianru Jiang, Sheng Li, Zhihui Zhu, Huang Bai, Xiongxiong He, Rodrigo C. de Lamare:
Compressed Sensing with Probability-based Prior Information. - Mina Basirat, Peter M. Roth:
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization. - Mengxuan Zhang, Lei Li, Wen Hua, Xiaofang Zhou:
Typical Snapshots Selection for Shortest Path Query in Dynamic Road Networks. - Konstantinos G. Spiliotis, Lucia Russo, Francesco Giannino, Constantinos I. Siettos:
Analytical and Numerical Bifurcation Analysis of a Forest-Grassland Ecosystem Model with Human Interaction. - Kazunori Ueda, Hiroshi Hosobe, Daisuke Ishii:
Declarative Semantics of the Hybrid Constraint Language HydLa. - Shyamgopal Karthik, Abhinav Moudgil, Vineet Gandhi:
Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and Reliability. - Brit Youngmann, Ran Gilad-Bachrach, Danny Karmon, Elad Yom-Tov:
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance. - Kaiwei Zeng:
Hierarchical Clustering-guided re-ID with Triplet loss. - Suryatej Reddy Vyalla, Vishaal Udandarao, Tanmoy Chakraborty:
Memeify: A Large-Scale Meme Generation System. - Vladimir Puzyrev:
Deep convolutional autoencoder for cryptocurrency market analysis. - Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran:
Linear Temporal Logic Satisfaction in Adversarial Environments using Secure Control Barrier Certificates. - Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen:
Long-term Joint Scheduling for Urban Traffic. - Abhijeet Tallavajhula, Adrian Schoisengeier, Sung-Kyun Kim, Anirudh Vemula, Levi Lister, Oren Salzman:
Task-Informed Fidelity Management for Speeding Up Robotics Simulation. - Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio:
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. - Andreagiovanni Reina, Viktor Ioannou, Junjin Chen, Lu Lu, Charles Kent, James A. R. Marshall:
Robots as Actors in a Film: No War, A Robot Story. - Rongcheng Lin, Jing Xiao, Jianping Fan:
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization. - Mohsin Ur Rahman, Fabrizio Baiardi, Barbara Guidi, Laura Ricci:
Protecting Personal Data using Smart Contracts. - Oliver Adams, Matthew Wiesner, Jan Trmal, Garrett Nicolai, David Yarowsky:
Induced Inflection-Set Keyword Search in Speech. - Vinoj Jayasundara, Nghi Duy Quoc Bui, Lingxiao Jiang, David Lo:
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing. - Philip Saltenberger:
Structure-preserving diagonalization of matrices in indefinite inner product spaces. - Giorgi Nadiradze, Amirmojtaba Sabour, Aditya Sharma, Ilia Markov, Vitaly Aksenov, Dan Alistarh:
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model. - Laxman Dhulipala, Charles McGuffey, Hongbo Kang, Yan Gu, Guy E. Blelloch, Phillip B. Gibbons, Julian Shun:
Semi-Asymmetric Parallel Graph Algorithms for NVRAMs. - Georgios Detorakis, Sourav Dutta, Abhishek Khanna, Matthew Jerry, Suman Datta, Emre Neftci:
Inherent Weight Normalization in Stochastic Neural Networks. - Kevin Buzzard, Johan Commelin, Patrick Massot:
Formalising perfectoid spaces. - Arda Efe Okay, Manal Al Ghamdi, Robert Westendorp, Mohamed Abdel-Mottaleb:
Multi-Resolution Overlapping Stripes Network for Person Re-Identification. - Gal Sadeh Kenigsfield, Ran El-Yaniv:
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships. - Alireza Chamanzar, Yao Nie:
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation. - Ghassen Zafzouf, Girish N. Nair, Jamie S. Evans:
Zero-Error Capacity of Multiple Access Channels via Nonstochastic Information. - Aïcha BenTaieb, Ghassan Hamarneh:
Deep Learning Models for Digital Pathology. - Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik:
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition. - Amer Mesanovic, Ulrich Münz, Andrei Szabo, Martin Mangold, Joachim Bamberger, Michael Metzger, Chris Heyde, Rainer Krebs, Rolf Findeisen:
Guaranteed H-infinity Controller Parameter Tuning for Power Systems: Method and Experimental Evaluation. - Patrick Schwab, Walter Karlen:
CXPlain: Causal Explanations for Model Interpretation under Uncertainty. - Tim Kaler, William Kuszmaul, Tao B. Schardl, Daniele Vettorel:
Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs. - Ramin Javadi, Amir Nikabadi:
On the Parameterized Complexity of Sparsest Cut and Small-set Expansion Problems. - Vladislav Kurenkov, Bulat Maksudov, Adil Khan:
Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order. - Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz:
SENSE: a Shared Encoder Network for Scene-flow Estimation. - Dan Oneata, Cosmin George Alexandru, Marius Stanescu, Octavian Pascu, Alexandru Magan, Adrian Postelnicu, Horia Cucu:
The Quo Vadis submission at Traffic4cast 2019. - Tomás Dvorák, Mei-Mei Gu:
Neighbor connectivity of k-ary n-cubes. - Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer:
Thieves on Sesame Street! Model Extraction of BERT-based APIs. - Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR models by Generation of Contextual Information. - Tejas Srinivasan, Ramon Sanabria, Florian Metze:
Multitask Learning For Different Subword Segmentations In Neural Machine Translation. - Tito Spadini, Dimitri Leandro de Oliveira Silva, Ricardo Suyama:
Sound Event Recognition in a Smart City Surveillance Context. - Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi:
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. - Reza Rezaie, X. Rong Li:
Gaussian Conditionally Markov Sequences: Algebraically Equivalent Dynamic Models. - Nikhil Ghosh, Yuxin Chen, Yisong Yue:
Landmark Ordinal Embedding. - Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel:
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method. - Ruizhe Zhao, Brian Vogel, Tanvir Ahmed:
Adaptive Loss Scaling for Mixed Precision Training. - Alexander Jung:
Components of Machine Learning: Binding Bits and FLOPS. - Sneha Aenugu:
A memory enhanced LSTM for modeling complex temporal dependencies. - Jian Ma:
Variable Selection with Copula Entropy. - Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang:
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? - Mauro Barni, Ehsan Nowroozi, Benedetta Tondi, Bowen Zhang:
Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples. - Sumathi Gokulanathan, Alexander Feldsher, Adi Malca, Clark W. Barrett, Guy Katz:
Simplifying Neural Networks with the Marabou Verification Engine. - Caine Ardayfio:
Computational design of organic solar cell active layer through genetic algorithm. - Jakob Ablinger, Ali Kemal Uncu:
qFunctions - A Mathematica package for q-series and partition theory applications. - Phillip Smith, Robert A. Hunjet, Aldeida Aleti, Asad Khan:
Swarm Behaviour Evolution via Rule Sharing and Novelty Search. - Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni:
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond. - Phillip Smith, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet, Asad Khan:
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control. - Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu:
Deep causal representation learning for unsupervised domain adaptation. - Zhiyun Fan, Shiyu Zhou, Bo Xu:
Unsupervised pre-traing for sequence to sequence speech recognition. - Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu:
Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels. - Yen-Chi Hsu, Cheng-Yao Hong, Ding-Jie Chen, Ming-Sui Lee, Davi Geiger, Tyng-Luh Liu:
Fine-Grained Visual Recognition with Batch Confusion Norm. - Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback. - Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. - Anders P. K. Dalskov, Daniel Escudero, Marcel Keller:
Secure Evaluation of Quantized Neural Networks. - Abdulaziz Deajim, Mohamed Bouye:
LCD Matrix-Product Codes over Commutative Rings. - Samaneh Karimi, Azadeh Shakery, Rakesh M. Verma:
Online News Media Website Ranking Using User Generated Content. - Sarah Masud Preum, Kate Clark, Ashley Davis, Konstantine Khutsishvilli, Rupa S. Valdez:
Information Seeking and Information Processing Behaviors Among Type 2 Diabetics. - Renhao Cui, Gagan Agrawal, Rajiv Ramnath:
Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets. - Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. - Yunzhi Zhang, Ignasi Clavera, Boren Tsai, Pieter Abbeel:
Asynchronous Methods for Model-Based Reinforcement Learning. - Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das:
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. - Xiaoming Sun, Yuan Sun, Jiaheng Wang, Kewen Wu, Zhiyu Xia, Yufan Zheng:
On the Degree of Boolean Functions as Polynomials over Zm. - Kyle Xiao, Houdong Hu, Yan Wang:
Applications of Generative Adversarial Models in Visual Search Reformulation. - Ankur Goswami, Joshua McGrath, Shanan Peters, Theodoros Rekatsinas:
Fine-Grained Object Detection over Scientific Document Images with Region Embeddings. - Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Use of a Capsule Network to Detect Fake Images and Videos. - Assia Benbihi, Matthieu Geist, Cédric Pradalier:
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description. - Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen:
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling. - Yiying Yang, Xiahui He, Kaijie Zhou, Zhongyu Wei:
Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base. - Greg Yang:
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes. - Justin Cosentino, Jun Zhu:
Generative Well-intentioned Networks. - Xuehai Huang:
Nonconforming Virtual Element Method for 2m-th Order Partial Differential Equations in Rn with m>n. - Wasim Huleihel, Arya Mazumdar, Muriel Médard, Soumyabrata Pal:
Same-Cluster Querying for Overlapping Clusters. - Feiran Zhao, Keyou You, Shiji Song, Wenyue Zhang, Laisheng Tong:
Suspension Regulation of Medium-low-speed Maglev Trains via Deep Reinforcement Learning. - Leendert A. Remmelzwaal, Amit Kumar Mishra, George F. R. Ellis:
CTNN: Corticothalamic-inspired neural network. - Trivikram Dokka, Marc Goerigk:
The Multi-level Bottleneck Assignment Problem: Complexity and Solution Methods. - Genet Asefa Gesese, Russa Biswas, Mehwish Alam, Harald Sack:
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly? - Sebastian Curi, Kfir Y. Levy, Stefanie Jegelka, Andreas Krause:
Adaptive Sampling for Stochastic Risk-Averse Learning. - Jeongmin Chae, Song-Nam Hong:
Greedy Sparse Signal Recovery Algorithm Based on Bit-wise MAP detection. - Ben Strasser, Tim Zeitz:
A* with Perfect Potentials. - Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei Lin, Bo Zheng, Dongyan Zhao, Rui Yan:
RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search. - Jonggu Kim, Jong-Hyeok Lee:
Modeling Inter-Speaker Relationship in XLNet for Contextual Spoken Language Understanding. - Seongjae Kang, Jaeyoon Kim, Sung-Eui Yoon:
Virtual Piano using Computer Vision. - Yi-Ching Huang, Yu-Ting Cheng, Lin-Lin Chen, Jane Yung-jen Hsu:
Human-AI Co-Learning for Data-Driven AI. - Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez:
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. - Furkan Yesiler, Joan Serrà, Emilia Gómez:
Accurate and Scalable Version Identification Using Musically-Motivated Embeddings. - Yingbo Gao, Christian Herold, Weiyue Wang, Hermann Ney:
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification. - Michael Backenköhler, Luca Bortolussi, Verena Wolf:
Bounding Mean First Passage Times in Population Continuous-Time Markov Chains. - Elif Hocaoglu, Volkan Patoglu:
Design, Implementation and Evaluation of a Variable Stiffness Transradial Hand Prosthesis. - Josef Dick, Aicke Hinrichs, Friedrich Pillichshammer, Joscha Prochno:
Tractability properties of the discrepancy in Orlicz norms. - Marzieh Mozafari, Reza Farahbakhsh, Noël Crespi:
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media. - Ruijian Han, Kani Chen, Chunxi Tan:
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning. - Scott Eisele, Taha Eghtesad, Keegan Campanelli, Prakhar Agrawal, Aron Laszka, Abhishek Dubey:
Safe and Private Forward-Trading Platform for Transactive Microgrids. - Wanita Sherchan, Simon Harris, Sue Ann Chen, Nebula Alam, Khoi-Nguyen Tran, Adam J. Makarucha, Christopher J. Butler:
Assessing Regulatory Risk in Personal Financial Advice Documents: a Pilot Study. - Solmaz Abdi, Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic:
A Multivariate Elo-based Learner Model for Adaptive Educational Systems. - P. Santhanam, Eitan Farchi, Victor Pankratius:
Engineering Reliable Deep Learning Systems. - Miguel A. Luengo-Oroz:
Solidarity should be a core ethical principle of Artificial Intelligence. - Jean-Baptiste Weibel, Timothy Patten, Markus Vincze:
Addressing the Sim2Real Gap in Robotic 3D Object Classification. - Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. - Jochen Hinz, Joost van Zwieten, Matthias Möller, Fred J. Vermolen:
Isogeometric Analysis of the Gray-Scott Reaction-Diffusion Equations for Pattern Formation on Evolving Surfaces and Applications to Human Gyrification. - Ramya Akula, Zachary Wieselthier, Laura Martin, Ivan Garibay:
Forecasting the Success of Television Series using Machine Learning. - David Solans, Christopher Tauchmann, Aideen Farrell, Karolin Kappler, Hans-Hendrik Huber, Carlos Castillo:
Conflict and Cooperation: AI Research and Development in terms of the Economy of Conventions. - Diego Sáez-Trumper:
Online Disinformation and the Role of Wikipedia. - Richard Scruggs, Ryan S. Baker, Bruce M. McLaren:
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance. - Naveed Ahmed, Gunar Matthies:
Higher-order discontinuous Galerkin time discretizations the evolutionary Navier-Stokes equations. - Meixin Zhu, Jingyun Hu, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang:
Personalized Context-Aware Multi-Modal Transportation Recommendation. - Jonathan Passerat-Palmbach, Tyler Farnan, Robert Miller, Marielle S. Gross, Heather Leigh Flannery, Bill Gleim:
A blockchain-orchestrated Federated Learning architecture for healthcare consortia. - Xiyan Liu, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization. - Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang:
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. - Maria Spichkova, Johan Van Zyl, Siddharth Sachdev, Ashish Bhardwaj, Nirav Desai:
Easy Mobile Meter Reading for Non-Smart Meters: Comparison of AWS Rekognition and Google Cloud Vision Approaches. - David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim:
Textual Data for Time Series Forecasting. - Laura Hollink, Aysenur Bilgin, Jacco van Ossenbruggen:
Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy. - Jacob Danovitch:
Trouble with the Curve: Predicting Future MLB Players Using Scouting Reports. - Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides:
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference. - Basile Bouteau, Pauline Kergus, Pierre Vuillemin:
Internal stability enforcement for data-driven control in the frequency domain. - Anne Schreuder, C.-H. Luke Ong:
Polynomial Probabilistic Invariants and the Optional Stopping Theorem. - Wenbo Zhang, Osbert Bastani:
MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding. - Daniel Schnetzer Fava, Martin Steffen:
Ready, set, Go! Data-race detection and the Go language. - Mehrad Moradshahi, Hamid Palangi, Monica S. Lam, Paul Smolensky, Jianfeng Gao:
HUBERT Untangles BERT to Improve Transfer across NLP Tasks. - Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach:
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration. - Zak Hodgson, David Browne, Inaki Esnaola, Bryn Jones:
A combined ocean and oil model for model-based adaptive monitoring. - Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic, Martin Rumpf:
Image Morphing in Deep Feature Spaces: Theory and Applications. - Anderson de Andrade:
A Comparison of Neural Network Training Methods for Text Classification. - Yongpeng Wu, Xiqi Gao, Shidong Zhou, Wei Yang, Yury Polyanskiy, Giuseppe Caire:
Massive Access for Future Wireless Communication Systems. - Nur Sila Gulgec, Zheng Shi, Neil Deshmukh, Shamim N. Pakzad, Martin Takác:
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods. - Daria Fokina, Ivan V. Oseledets:
Growing axons: greedy learning of neural networks with application to function approximation. - Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson:
AI Ethics in Industry: A Research Framework. - Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li:
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis. - Olivia Wiles, A. Sophia Koepke, Andrew Zisserman:
Self-supervised learning of class embeddings from video. - Nasser Zalmout, Nizar Habash:
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling. - Mikolaj Jankowski, Deniz Gündüz, Krystian Mikolajczyk:
Deep Joint Source-Channel Coding for Wireless Image Retrieval. - Gene-Ping Yang, Szu-Lin Wu, Yao-Wen Mao, Hung-yi Lee, Lin-Shan Lee:
Interrupted and cascaded permutation invariant training for speech separation. - Shrey Desai, Hongyuan Zhan, Ahmed Aly:
Evaluating Lottery Tickets Under Distributional Shifts. - Francesca Arrigo, Desmond J. Higham, Francesco Tudisco:
A framework for second order eigenvector centralities and clustering coefficients. - Jing Bai, Yongchao Wang, Qingjiang Shi:
Efficient QP-ADMM Decoder for Binary LDPC Codes and Its Performance Analysis. - Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro:
Few-shot Video-to-Video Synthesis. - Maxime Mouchet, Sandrine Vaton, Thierry Chonavel, Emile Aben, Jasper den Hertog:
Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMs. - Thang X. Vu, Symeon Chatzinotas, Björn E. Ottersten, Trinh Anh Vu:
Full-Duplex Enabled Mobile Edge Caching: From Distributed to Cooperative Caching. - Nicolas Crouseilles, Lukas Einkemmer, Josselin Massot:
Exponential methods for solving hyperbolic problems with application to kinetic equations. - Ben Strasser, Dorothea Wagner, Tim Zeitz:
Space-efficient, Fast and Exact Routing in Time-dependent Road Networks. - Weiwei Zhang, Changsheng Chen, Xuechun Wu, Jialin Gao, Di Bao, Jiwei Li, Xi Zhou:
Layer Pruning for Accelerating Very Deep Neural Networks. - Yilong Zhu, Bohuan Xue, Linwei Zheng, Huaiyang Huang, Ming Liu, Rui Fan:
Real-Time, Environmentally-Robust 3D LiDAR Localization. - Alexander H. Liu, Tao Tu, Hung-yi Lee, Lin-Shan Lee:
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning. - Linwei Zheng, Yilong Zhu, Bohuan Xue, Ming Liu, Rui Fan:
Low-Cost GPS-Aided LiDAR State Estimation and Map Building. - Alberto Purpura, Marco Calaresu:
A Semi-Automated Approach for Information Extraction, Classification and Analysis of Unstructured Data. - Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin:
Collaborative Filtering with A Synthetic Feedback Loop. - Cristian Guillermo Gebhardt, Dominik Schillinger, Marc Christian Steinbach, Raimund Rolfes:
A Framework for Data-Driven Computational Mechanics Based on Nonlinear Optimization. - Kahina Meslem, Éric Sopena:
Distinguishing numbers and distinguishing indices of oriented graphs. - Alexander H. Liu, Tzu-Wei Sung, Shun-Po Chuang, Hung-yi Lee, Lin-Shan Lee:
Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding. - Laurent Feuilloley:
Introduction to local certification. - Seung Joon Nam, Han-Min Kim, Thomas Kang, Cheol Young Park:
A Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes. - Rafael Rêgo Drumond, Lukas Brinkmeyer, Josif Grabocka, Lars Schmidt-Thieme:
HIDRA: Head Initialization across Dynamic targets for Robust Architectures. - Olivier Bousquet, Nikita Zhivotovskiy:
Fast classification rates without standard margin assumptions. - Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan:
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. - Beatriz Soret, Sucheta Ravikanti, Petar Popovski:
Latency and timeliness in multi-hop satellite networks. - Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor, Joshua M. Susskind:
Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking. - Haiping Zhu, Zhizhong Huang, Hongming Shan, Junping Zhang:
Look globally, age locally: Face aging with an attention mechanism. - Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach:
Empirical Analysis of Session-Based Recommendation Algorithms. - Lingzhou Hong, Alfredo García, Ceyhun Eksin:
Distributed Estimation via Network Regularization. - Thomas Kahl:
Weak equivalence of higher-dimensional automata. - Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. - Xing Zhao, Ping Lu, Yanyan Zhang, Jianxiong Chen, Xiaoyang Li:
Attenuating Random Noise in Seismic Data by a Deep Learning Approach. - Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim:
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection. - Masatoshi Uehara, Nan Jiang:
Minimax Weight and Q-Function Learning for Off-Policy Evaluation. - Nikhil Oswal:
Technical Debt: Identify, Measure and Monitor. - Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Stochastic Recurrent Neural Networks. - Paul Burchard, Anthony Daoud:
Empirical Differential Privacy. - Jörg K. H. Franke, Gregor Köhler, Noor H. Awad, Frank Hutter:
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control. - Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine:
Entity Abstraction in Visual Model-Based Reinforcement Learning. - Mohamed Hamidi, Aladine Chetouani, Mohamed El Haziti, Mohammed El Hassouni, Hocine Cherifi:
Blind Robust 3-D Mesh Watermarking based on Mesh Saliency and QIM quantization for Copyright Protection. - Kanthi K. Sarpatwar, Karthikeyan Shanmugam, Venkata Sitaramagiridharganesh Ganapavarapu, Ashish Jagmohan, Roman Vaculín:
Differentially Private Distributed Data Summarization under Covariate Shift. - Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher:
Evaluating the Factual Consistency of Abstractive Text Summarization. - Guy Kortsarz, Zeev Nutov:
Bounded Degree Group Steiner Tree Problems. - Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
A Game Theoretic Approach to Class-wise Selective Rationalization. - Yuzi He, Keith Burghardt, Kristina Lerman:
Learning Fair and Interpretable Representations via Linear Orthogonalization. - Elena Codreanu, Christine Michel, Marc-Eric Bobillier-Chaumon, Olivier Vigneau:
A Triangulated Model to Assess Adoption of Virtual Learning Environments in Primary Schools. - Lucca Tiemens, Dana S. Scott, Christoph Benzmüller, Miroslav Benda:
Computer-supported Exploration of a Categorical Axiomatization of Modeloids. - Qi Liu, Maximilian Nickel, Douwe Kiela:
Hyperbolic Graph Neural Networks. - Anmol Kagrecha, Jayakrishnan Nair:
Please come back later: Benefiting from deferrals in service systems. - Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert, Chris Giordano, Lasith Adhikari, Ying-Chih Peng, Yuanfang Ren, Benjamin Shickel, Zheng Feng, Gloria Lipori, Gilbert R. Upchurch Jr., Xiaolin Li, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. - Maciej Besta, Torsten Hoefler:
Active Access: A Mechanism for High-Performance Distributed Data-Centric Computations. - Ali Baheri, Chris Vermillion:
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. - Huang Huang, Henry F. Cappel, Gray C. Thomas, Binghan He, Luis Sentis:
Adaptive Compliance Shaping with Human Impedance Estimation. - Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary. - Philip Saltenberger, Michel-Niklas Senn:
On skew-Hamiltonian Matrices and their Krylov-Lagrangian Subspaces. - Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev:
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. - Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha:
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits. - Björn Lütjens, Michael Everett, Jonathan P. How:
Certified Adversarial Robustness for Deep Reinforcement Learning. - Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann:
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck. - Zhiyan Ding, Qin Li:
Ensemble Kalman Sampling: mean-field limit and convergence analysis. - Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec:
Hyperbolic Graph Convolutional Neural Networks. - Ming-Ho Yee, Ayaz Badouraly, Ondrej Lhoták, Frank Tip, Jan Vitek:
Precise Dataflow Analysis of Event-Driven Applications. - Fan Chen, Yini Zhang, Karl Rohe:
Targeted sampling from massive Blockmodel graphs with personalized PageRank. - Binxuan Huang, Kathleen M. Carley:
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation. - Justin Leo, Jugal Kalita:
Moving Towards Open Set Incremental Learning: Readily Discovering New Authors. - Jiaxin Xu, Rui Wang, Vaibhav Rakheja:
Literature Review: Human Segmentation with Static Camera. - Minshuo Chen, Xingguo Li, Tuo Zhao:
On Generalization Bounds of a Family of Recurrent Neural Networks. - Gilles Vandewiele, Femke Ongenae, Filip De Turck:
GENDIS: GENetic DIscovery of Shapelets. - Mina Rajabi, Hajar Sadeghizadeh, Zahra Mola-Amini, Niloofar Ahmadyrad:
Hybrid Adaptive Neuro-Fuzzy Inference System for Diagnosing the Liver Disorders. - Vaibhav Jain, Sanskar Jain, Nishant Tanwar:
Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces. - Alexander Dominicus, Fernando Gaspoz, Christian Kreuzer:
Convergence of an adaptive C0-interior penalty Galerkin method for the biharmonic problem. - Rokas Jurevicius, Virginijus Marcinkevicius:
A data set of aerial imagery from robotics simulator for map-based localization systems benchmark. - Qin Lin, Wenshuo Wang, Yihuan Zhang, John M. Dolan:
Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile. - Chun-Kit Lai, Friedrich Littmann, Eric S. Weber:
Conjugate Phase Retrieval in Paley-Wiener Space. - Wanyu Lin, Zhaolin Gao, Baochun Li:
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. - Luke Trinity, Scott C. Merrill, Eric M. Clark, Christopher J. Koliba, Asim Zia, Gabriela Bucini, Julia M. Smith:
Effects of Social Cues on Biosecurity Compliance in Livestock Facilities: Evidence from Experimental Simulations. - Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli:
Learning Transferable Graph Exploration. - AmirEmad Ghassami, Kun Zhang, Negar Kiyavash:
Characterizing Distribution Equivalence for Cyclic and Acyclic Directed Graphs. - Yanan Yu, Yongpei Guan, Yonghong Chen:
An Efficient Iterative Algorithm for Convex Hull Pricing Problems on MISO Case Studies. - Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara:
A Simple but Effective BERT Model for Dialog State Tracking on Resource-Limited Systems. - Jinyuan Chen:
Multi-layer Interference Alignment and GDoF of the K-User Asymmetric Interference Channel. - Fabio Stroppa, Ming Luo, Kyle T. Yoshida, Margaret M. Coad, Laura H. Blumenschein, Allison M. Okamura:
Human Interface for Teleoperated Object Manipulation with a Soft Growing Robot. - Fabio Stroppa, Ming Luo, Giada Gerboni, Margaret M. Coad, Julie M. Walker, Allison M. Okamura:
Human-centered Control of a Growing Soft Robot for Object Manipulation. - Jeroen Groen, Florian Stutz, Niels Aage, Jakob Andreas Bærentzen, Ole Sigmund:
De-homogenization of optimal multi-scale 3D topologies. - Weiyang Liu, Zhen Liu, James M. Rehg, Le Song:
Neural Similarity Learning. - Michael Shum, Stephan Zheng, Wojciech Kryscinski, Caiming Xiong, Richard Socher:
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework. - Yuhao Yi, Timothy Castiglia, Stacy Patterson:
Shifting Opinions in a Social Network Through Leader Selection. - Pedro Ribeiro, Pedro Paredes, Miguel E. P. Silva, David Aparício, Fernando Silva:
A Survey on Subgraph Counting: Concepts, Algorithms and Applications to Network Motifs and Graphlets. - Nick Petosa, Tucker Balch:
Multiplayer AlphaZero. - Liliana Borcea, Vladimir Druskin, Alexander V. Mamonov, Mikhail Zaslavsky, Jörn T. Zimmerling:
Reduced Order Model Approach to Inverse Scattering. - Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter A. Flach:
bLIMEy: Surrogate Prediction Explanations Beyond LIME. - Marmar Orooji, Jianhua Chen:
Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques. - Nikhil Ravi, Anna Scaglione:
Detection and Isolation of Adversaries in Decentralized Optimization for Non-Strongly Convex Objectives. - Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang:
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. - Farhad Farokhi:
Noiseless Privacy. - Heinrich Dinkel, Pingyue Zhang, Mengyue Wu, Kai Yu:
Depa: Self-supervised audio embedding for depression detection. - Anderson de Andrade:
Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images. - Lala Li, William Chan:
Big Bidirectional Insertion Representations for Documents. - C. Daniel Freeman, Luke Metz, David Ha:
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction. - Qiming Zhang, Jing Zhang, Wei Liu, Dacheng Tao:
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation. - Liu Yang, Rudrasis Chakraborty, Stella X. Yu:
POIRot: A rotation invariant omni-directional pointnet. - Angus Dempster, François Petitjean, Geoffrey I. Webb:
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels. - Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation. - Rui Fan, Yuan Wang, Lei Qiao, Ruiwen Yao, Peng Han, Weidong Zhang, Ioannis Pitas, Ming Liu:
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation. - Sebastian Angel, Mihir Nanavati, Siddhartha Sen:
Disaggregation and the Application. - David A. Tomassi, Cindy Rubio-González:
A Note About: Critical Review of BugSwarm for Fault Localization and Program Repair. - Jeonghun J. Lee:
High order approximation of Hodge Laplace problems with local coderivatives on cubical meshes. - Ziye Zhang, Li Sun, Zhilin Zheng, Qingli Li:
Disentangling the Spatial Structure and Style in Conditional VAE. - Anuj Dubey, Rosario Cammarota, Aydin Aysu:
MaskedNet: A Pathway for Secure Inference against Power Side-Channel Attacks. - Pingfu Chao, Yehong Xu, Wen Hua, Xiaofang Zhou:
A Survey on Map-Matching Algorithms. - David Berga, Xosé Ramón Fdez-Vidal, Xavier Otazu, Xosé M. Pardo:
SID4VAM: A Benchmark Dataset with Synthetic Images for Visual Attention Modeling. - Canh T. Dinh, Nguyen Hoang Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli:
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation. - Juheon Lee, Hyeong-Seok Choi, Junghyun Koo, Kyogu Lee:
Disentangling Timbre and Singing Style with Multi-singer Singing Synthesis System. - Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. - Alceu Bissoto, Eduardo Valle, Sandra Avila:
The Six Fronts of the Generative Adversarial Networks. - Bei Liu, Zhicheng Huang, Zhaoyang Zeng, Zheyu Chen, Jianlong Fu:
Learning Rich Image Region Representation for Visual Question Answering. - Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng:
Classification Calibration for Long-tail Instance Segmentation. - Yifan Luo, Jiawei Yang, Wei Xu, Kezhi Wang, Marco Di Renzo:
Resource Allocation Using Gradient Boosting Aided Deep Q-Network for IoT in C-RANs. - Jiun Fatt Chow, Basaran Bahadir Kocer, John Henawy, Gerald Seet, Zhengguo Li, Wei-Yun Yau, Mahardhika Pratama:
Toward Underground Localization: Lidar Inertial Odometry Enabled Aerial Robot Navigation. - Tuhin Sahai, Anurag Mishra, Jose Miguel Pasini, Susmit Jha:
Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms. - Md Mahfuzur Rahman, Daniel L. Pimentel-Alarcón:
GLIMPS: A Greedy Mixed Integer Approach for Super Robust Matched Subspace Detection. - Wenzhuo Song, Shengsheng Wang:
Hyperbolic Node Embedding for Signed Networks. - Zixuan Huang, Jinghuai Zhang, Jing Liao:
Style Mixer: Semantic-aware Multi-Style Transfer Network. - Mengjing Chen, Zihe Wang:
A Game-theoretical Approach to Analyze Film Release Time. - Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind:
Adversarial Fisher Vectors for Unsupervised Representation Learning. - Huaiyang Huang, Rui Fan, Yilong Zhu, Ming Liu, Ioannis Pitas:
A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry. - Youye Xie, Michael B. Wakin, Gongguo Tang:
Support Recovery for Sparse Signals with Non-stationary Modulation. - Bo Chen, Jing Zhang, Xiaobin Tang, Hong Chen, Cuiping Li:
RAKA: Co-training of Relationships and Attributes for Cross-lingual Knowledge Alignment. - Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. - Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. - Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo:
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection. - Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki:
Discriminant analysis based on projection onto generalized difference subspace. - Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang:
Contrastive Attention Mechanism for Abstractive Sentence Summarization. - Hazel Si Min Lim, Araz Taeihagh:
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities. - Manuel Lafond, Marc Hellmuth:
Reconstruction of time-consistent species trees. - Fabio Capela, Vincent Nouchi, Ruud van Deursen, Igor V. Tetko, Guillaume Godin:
Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions. - Jernej Zabavnik, Andreas Riel, M. Marguc, Miran Rodic:
Knowledge and skills requirements for the software design and testing of automotive applications. - Haoyu Ma, Qingmin Liao, Juncheng Zhang, Shaojun Liu, Jing-Hao Xie:
An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion. - Lennart Brocki, Neo Christopher Chung:
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models. - Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa:
Scalable Deep Neural Networks via Low-Rank Matrix Factorization. - Matias Valdenegro-Toro, Mariela De Lucas Alvarez, Mariia Dmitrieva, Bilal Wehbe, Georgios Salavasidis, Shahab Heshmati-Alamdari, Juan F. Fuentes-Pérez, Veronika Yordanova, Klemen Istenic, Thomas Guerneve:
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics. - Maksim Kuznetsov, Daniil Polykovskiy, Dmitry P. Vetrov, Alexander Zhebrak:
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models. - Garrett Bernstein, Daniel Sheldon:
Differentially Private Bayesian Linear Regression. - Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister:
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. - Suong N. Hoang, Linh V. Nguyen, Tai Huynh, Vuong T. Pham:
An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese. - Johanne R. Trippas, Damiano Spina, Paul Thomas, Mark Sanderson, Hideo Joho, Lawrence Cavedon:
Towards a Model for Spoken Conversational Search. - Zhixin Wu, Peng Han, Ruiwen Yao, Lei Qiao, Weidong Zhang, Tielong Shen, Min Sun, Yilong Zhu, Ming Liu, Rui Fan:
Autonomous UAV Landing System Based on Visual Navigation. - Sanna Raudaskoski, Eerik Mantere, Satu Valkonen:
Smartphone and the changing practices of face-to-face interaction. - Talip Ucar:
Bridging the ELBO and MMD. - Kuen-Han Tsai, Hsuan-Tien Lin:
Learning from Label Proportions with Consistency Regularization. - Ghafour Ahani, Di Yuan:
Accounting for Information Freshness in Scheduling of Content Caching. - Shiori Hironaka, Mitsuo Yoshida, Kyoji Umemura:
User's Centrality Analysis for Home Location Estimation. - Florian Köpf, Samuel Tesfazgi, Michael Flad, Sören Hohmann:
Deep Decentralized Reinforcement Learning for Cooperative Control. - Ghodai Abdelrahman, Qing Wang:
Knowledge Tracing with Sequential Key-Value Memory Networks. - Stefanus Wirdatmadja, Josep Miquel Jornet, Yevgeni Koucheryavy, Sasitharan Balasubramaniam:
Channel Impulse Analysis of Light Propagation for Point-to-point Nano Communications through Cortical Neurons. - Mimansa Jaiswal, Emily Mower Provost:
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition. - Yat Long Lo, Sina Ghiassian:
Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps. - Zixiu Wu, Ozan Caglayan, Julia Ive, Josiah Wang, Lucia Specia:
Transformer-based Cascaded Multimodal Speech Translation. - Victor L. Selivanov:
Effective Wadge Hierarchy in Computable Quasi-Polish Spaces. - Li Chen, Guowei Zhu, Qi Li, Haifeng Li:
Adversarial Example in Remote Sensing Image Recognition. - Ata Jodeiri, Reza Aghaeizadeh Zoroofi, Yuta Hiasa, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato, Yoshito Otake:
Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph. - Felix Wilhelm Siebert, Hanhe Lin:
Detecting motorcycle helmet use with deep learning. - Zhaoqiang Guo, Shiran Liu, Jinping Liu, Yanhui Li, Lin Chen, Hongmin Lu, Yuming Zhou, Baowen Xu:
MAT: A simple yet strong baseline for identifying self-admitted technical debt. - Muhammad Shahid Iqbal, Yalcin Sadi, Sinem Coleri Ergen:
Optimal On-Off Transmission Schemes for Full Duplex Wireless Powered Communication Networks. - Onurcan Iscan, Ronald Böhnke, Wen Xu:
Sign-Bit Shaping Using Polar Codes. - Muhammad Shahid Iqbal, Yalcin Sadi, Sinem Coleri Ergen:
Throughput Maximization for Full Duplex Wireless Powered Communication Networks. - Hwanjin Kim, Junil Choi:
Channel Estimation for Spatially/Temporally Correlated Massive MIMO Systems with One-Bit ADCs. - Bo Zhao, Luke Bryant, Michael Wilde, Rebecca Cordell, Dahlia Salman, Dorota Ruszkiewicz, Wadah Ibrahim, Amisha Singapuri, Tim Coats, Erol Gaillard, Caroline Beardsmore, Toru Suzuki, Leong Ng, Neil Greening, C. L. Paul Thomas, Paul S. Monks, Christopher Brightling, Salman Siddiqui, Robert C. Free:
LabPipe: an extensible informatics platform to streamline management of metabolomics data and metadata. - Daniel Arndt, Wolfgang Bangerth, Denis Davydov, Timo Heister, Luca Heltai, Martin Kronbichler, Matthias Maier, Jean-Paul Pelteret, Bruno Turcksin, David R. Wells:
The deal.II finite element library. - Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal:
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. - Marco Besier, Pascal Wasser, Stefan Weinzierl:
RationalizeRoots: Software Package for the Rationalization of Square Roots. - Miguel Pérez-Saborid:
A simple MATLAB program to compute differentiation matrices for arbitrary meshes via Lagrangian interpolation. - Ivan Provilkov, Dmitrii Emelianenko, Elena Voita:
BPE-Dropout: Simple and Effective Subword Regularization. - Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney:
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets. - Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang:
Secure and Efficient Federated Transfer Learning. - Haoran Sun, Yunqi Cai, Lantian Li, Dong Wang:
On Investigation of Unsupervised Speech Factorization Based on Normalization Flow. - Alejandro Cohen, Guillaume Thiran, Vered Bar Bracha, Muriel Médard:
Adaptive Causal Network Coding with Feedback for Multipath Multi-hop Communications. - Dmitry Popov, Alexander Pugachev, Polina Svyatokum, Elizaveta Svitanko, Ekaterina Artemova:
Sentence Embeddings for Russian NLU. - Luis Miralles, Muhammad Atif Qureshi, Brian Mac Namee:
Real-time Bidding campaigns optimization using attribute selection. - Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola:
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. - Pedro Herruzo, Josep Lluís Larriba-Pey:
Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting. - David Adjiashvili, Felix Hommelsheim, Moritz Mühlenthaler:
Flexible Graph Connectivity: Approximating Network Design Problems Between 1- and 2-connectivity. - Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh:
Findings of the Third Workshop on Neural Generation and Translation. - Roman A. Solovyev, Weimin Wang:
Weighted Boxes Fusion: ensembling boxes for object detection models. - Stefan Kaltenbacher, Martin Steinberger, Martin Horn:
Pipe Roughness Identification of Water Distribution Networks: A Tensor Method. - Ismail Butun, Patrik Österberg, Houbing Song:
Security of the Internet of Things: Vulnerabilities, Attacks and Countermeasures. - Hesaneh Kazemi, Ashkan Vaziri, Julian A. Norato:
Multi-material Topology Optimization of Lattice Structures using Geometry Projection. - Blaz Skrlj, Jan Kralj, Nada Lavrac:
Symbolic Graph Embedding using Frequent Pattern Mining. - Kemal Davaslioglu, Sohraab Soltani, Tugba Erpek, Yalin E. Sagduyu:
DeepWiFi: Cognitive WiFi with Deep Learning. - Zachary Serlin, Guang Yang, Brandon Sookraj, Calin Belta, Roberto Tron:
Distributed and Consistent Multi-Image Feature Matching via QuickMatch. - Tobias Hinz, Stefan Heinrich, Stefan Wermter:
Semantic Object Accuracy for Generative Text-to-Image Synthesis. - Vitaliy Kurlin, Philip Smith:
Resolution-independent meshes of super pixels. - Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Trine B. Haugen, Michael A. Riegler:
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction. - Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood:
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks. - Matthias Freiberger, Peter Bienstman, Joni Dambre:
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping. - Friedrich Doku:
Zephyr: Hiding Metadata in a Messaging System. - Alon Jacovi, Gang Niu, Yoav Goldberg, Masashi Sugiyama:
Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning. - Changxi Liu, Hailong Yang, Xu Liu, Zhongzhi Luan, Depei Qian:
Intelligent-Unrolling: Exploiting Regular Patterns in Irregular Applications. - Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang:
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. - Donald C. Wunsch:
Admiring the Great Mountain: A Celebration Special Issue in Honor of Stephen Grossbergs 80th Birthday. - Patrick Schnider:
Equipartitions with Wedges and Cones. - Najme Ebrahimi, Hun-Seok Kim, David T. Blaauw:
Simultaneous Interference-Data Transmission for Secret Key Generation in Distributed IoT Sensor Networks. - Maximilian Behr, Peter Benner, Jan Heiland:
Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations. - Caleb Ju, Edgar Solomonik:
Derivation and Analysis of Fast Bilinear Algorithms for Convolution. - Somil Bansal, Andrea Bajcsy, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin:
A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. - Pieter Robberechts, Rud Derie, Pieter Van den Berghe, Joeri Gerlo, Dirk De Clercq, Veerle Segers, Jesse Davis:
Gait Event Detection in Tibial Acceleration Profiles: a Structured Learning Approach. - Jesper Larsson Träff:
Decomposing Collectives for Exploiting Multi-lane Communication. - Changyong Hu, Vijay K. Garg:
NC Algorithms for Popular Matchings in One-Sided Preference Systems and Related Problems. - Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Reinforcement Learning Has Zero Duality Gap. - Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. - Feng Zhao, Xingzhi Niu, Shao-Lun Huang, Lin Zhang:
Reproducing Scientific Experiment with Cloud DevOps. - Matteo Turchetta, Andreas Krause, Sebastian Trimpe:
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization. - Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell:
Generalization of Reinforcement Learners with Working and Episodic Memory. - Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly:
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC). - Pratik Kayal, Mayank Singh, Pawan Goyal:
Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification. - Nicholas Carlini, Úlfar Erlingsson, Nicolas Papernot:
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications. - Jaspreet Kaur:
A Ultimate Approach of Mitigating Attacks in RPL Based Low Power Lossy Networks. - William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit:
An Empirical Study of Generation Order for Machine Translation. - Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel:
Learning to Manipulate Deformable Objects without Demonstrations. - Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec:
G2SAT: Learning to Generate SAT Formulas. - Jiajun Wu, Chengjian Sun, Chenyang Yang:
Proactive Optimization with Unsupervised Learning. - Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer:
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. - Shravan Krishnan, Govind Aadithya Rajagopalan, Sivanathan Kandhasamy, Madhavan Shanmugavel:
Towards Scalable Continuous-Time Trajectory Optimization for Multi-Robot Navigation. - Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville:
Ordered Memory. - Cecília Salgado, Anthony Várilly-Alvarado, José Felipe Voloch:
Locally recoverable codes on surfaces. - Isamu Furuya:
Practical Repetition-Aware Grammar Compression. - Annalisa Greco, Francesco Cannizzaro, Alessandro Pluchino:
A Novel Procedure for the Assessment of the Seismic Performance of Frame Structures by Means of Limit Analysis. - Arzhang Angoshtari:
Four-Field Mixed Finite Element Methods for Incompressible Nonlinear Elasticity. - Geoffrey McGregor, Jean-Christophe Nave:
Parametric Interpolation Framework for Scalar Conservation Laws. - Daniel Kumor, Bryant Chen, Elias Bareinboim:
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets. - Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián E. Blasi, Hanna M. Wallach:
Quantifying the Semantic Core of Gender Systems. - Erdem Koyuncu:
The Tradeoff Between Coverage and Computation in Wireless Networks. - David Alvarez-Melis, Hal Daumé III, Jennifer Wortman Vaughan, Hanna M. Wallach:
Weight of Evidence as a Basis for Human-Oriented Explanations. - Mengge Chen, Jonathan Li:
Deep convolutional neural network application on rooftop detection for aerial image. - Samuele Battaglino, Erdem Koyuncu:
A Generalization of Principal Component Analysis. - Minh Hoàng Hà, Tat Dat Nguyen, Thinh Nguyen Duy, Hoang Giang Pham, Thuy Do, Louis-Martin Rousseau:
A new constraint programming model and a linear programming-based adaptive large neighborhood search for the vehicle routing problem with synchronization constraints. - Michael Bar-Sinai, Michal Tadjer, Mor Vilozni:
Computer Assisted Access to Justice via Formal Jurisprudence Modeling. - Dattaraj Jagdish Rao, Shraddha Mane:
Digital Twin approach to Clinical DSS with Explainable AI. - Hamid Shayestehmanesh, Sajjad Azami, Nishant A. Mehta:
Dying Experts: Efficient Algorithms with Optimal Regret Bounds. - Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda:
A Hierarchical Mixture Density Network. - José A. Morales Escalante, Clemens Heitzinger:
Stochastic Galerkin Methods for the Boltzmann-Poisson system. - Qin Lin, Sicco Verwer, John M. Dolan:
Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data. - Yujia Zheng, Siyi Liu, Zailei Zhou:
Balancing Multi-level Interactions for Session-based Recommendation. - William Kuszmaul:
Achieving Optimal Backlog in the Vanilla Multi-Processor Cup Game. - Qiang Liu, Tao Han, Nirwan Ansari:
Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems. - Hsiao-Lan Chiang, Kwang-Cheng Chen, Wolfgang Rave, Mostafa Khalili Marandi, Gerhard P. Fettweis:
Machine-Learning Beam Tracking and Weight Optimization for mmWave Multi-UAV Links. - Yidan Zhang, Xiaolong Huang, Zhipeng Xu, Yuefan Deng:
A Structured Table of Graphs with Special Properties. - Young Kun-Ko, Omri Weinstein:
An Adaptive Step Toward the Multiphase Conjecture. - Gustavo Carvalho, Igor Meira:
Modelling and testing timed data-flow reactive systems in Coq from controlled natural-language requirements. - Simon Foster, Jonathan Julián Huerta y Munive, Georg Struth:
Differential Hoare Logics and Refinement Calculi for Hybrid Systems with Isabelle/HOL. - Ilia Sivkov, Patrick Seewald, Alfio Lazzaro, Jürg Hutter:
DBCSR: A Blocked Sparse Tensor Algebra Library. - Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic, H. Vincent Poor:
On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach. - Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea:
A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education. - Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson:
Function-Space Distributions over Kernels. - Neil Deshmukh, Bernardo Bizzo, Selin Gumustop, Romane Gauriau, Varun Buch, Bradley Wright, Christopher P. Bridge, Ram C. Naidu, Katherine P. Andriole:
Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports. - Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker:
Domain Generalization via Model-Agnostic Learning of Semantic Features. - Nike Dattani, Hou Tin Chau:
All 4-variable functions can be perfectly quadratized with only 1 auxiliary variable. - Wei-Hsi Chen, Shivangi Misra, Yuchong Gao, Young-Joo Lee, Daniel E. Koditschek, Shu Yang, Cynthia R. Sung:
A Tunably Compliant Origami Mechanism for Dynamically Dexterous Robots. - Leila Ribeiro, Lucio Mauro Duarte, Rodrigo Machado, Andrei Costa, Érika F. Cota, Jonas Santos Bezerra:
Use Case Evolution Analysis based on Graph Transformation with Negative Application Conditions. - Tyler Lee, Anthony Ndirango:
Generalization in multitask deep neural classifiers: a statistical physics approach. - Nilupuli Senadhira, Salman Durrani, Xiangyun Zhou, Nan Yang, Ming Ding:
Uplink NOMA for Cellular-Connected UAV: Impact of UAV Trajectories and Altitude. - Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe:
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. - Guansong Pang, Anton van den Hengel, Chunhua Shen:
Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning. - Yang Liu, Tim Althoff, Jeffrey Heer:
Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis. - Sébastien M. R. Arnold, Shariq Iqbal, Fei Sha:
Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning. - Atoosa Kasirzadeh:
Mathematical decisions and non-causal elements of explainable AI. - Yuxiao Liu, Bolun Xu, Audun Botterud, Ning Zhang, Chongqing Kang:
Bounding Data-driven Model Errors in Power Grid Analysis. - Simon S. Du, Ruosong Wang, Mengdi Wang, Lin F. Yang:
Continuous Control with Contexts, Provably. - Xiang Huang, Jack H. Lutz, Elvira Mayordomo, Donald M. Stull:
Asymptotic Divergences and Strong Dichotomy. - Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. - Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar:
Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation. - Xiang Huang, Jack H. Lutz, Andrei N. Migunov:
Algorithmic Randomness in Continuous-Time Markov Chains. - Md. Masuduzzaman, Ashik Mahmud, Anik Islam, Md. Mofijul Islam:
Two Phase Authentication and VPN Based Secured Communication for IoT Home Networks. - Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin:
UAV-enabled IoT Systems: NOMA or OMA? - Yijun Bian, Huanhuan Chen:
When does Diversity Help Generalization in Classification Ensembles? - Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li:
An Augmented Transformer Architecture for Natural Language Generation Tasks. - Kazi Sadia, Md. Masuduzzaman, Rajib Kumar Paul, Anik Islam:
Blockchain Based Secured E-voting by Using the Assistance of Smart Contract. - Lucas Lima, Amaury Tavares, Sidney C. Nogueira:
A framework for verifying deadlock and nondeterminism in UML activity diagrams based on CSP. - Georgiana Caltais, Jean Krivine:
Proceedings of the 4th Workshop on Formal Reasoning about Causation, Responsibility, and Explanations in Science and Technology, CREST@ETAPS 2019, Prague, Czech Republic, 7th April 2019. EPTCS 308, 2019 [contents] - Xin Qin, Nikos Aréchiga, Andrew Best, Jyotirmoy V. Deshmukh:
Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning. - Vung Pham, Tommy Dang:
Outliagnostics: Visualizing Temporal Discrepancy in Outlying Signatures of Data Entries. - Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu:
Efficient Privacy-Preserving Nonconvex Optimization. - Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh, Mark Dredze:
Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models. - Chaoyue Song, Yugang Chen, Shulai Zhang, Bingbing Ni:
Facial Image Deformation Based on Landmark Detection. - Melikasadat Emami, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Alyson K. Fletcher:
Input-Output Equivalence of Unitary and Contractive RNNs. - Kevin Zakka, Andy Zeng, Johnny Lee, Shuran Song:
Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly. - Kartik Srivastava, Akash Kumar Singh, Guruprasad M. Hegde:
Multi Modal Semantic Segmentation using Synthetic Data. - Sasindu Wijeratne, Ashen Ekanayake, Sandaruwan Jayaweera, Danuka Ravishan, Ajith Pasqual:
Scalable High Performance SDN Switch Architecture on FPGA for Core Networks. - Qing Zhang, Yongwei Nie, Wei-Shi Zheng:
Dual Illumination Estimation for Robust Exposure Correction. - Ha Nguyen, Natalia A. Tomashenko, Marcely Zanon Boito, Antoine Caubrière, Fethi Bougares, Mickael Rouvier, Laurent Besacier, Yannick Estève:
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task. - Yixue Hao, Miao Li, Di Wu, Min Chen, Mohammad Mehedi Hassan, Giancarlo Fortino:
Human-Like Hybrid Caching in Software-defined Edge Cloud. - Ziyuan Liu, Hong Zhang, Xu Qian, Songhe Song:
Mass and energy conservative high order diagonally implicit Runge-Kutta schemes for nonlinear Schrödinger equation in one and two dimensions. - Aakash Maroti:
RBED: Reward Based Epsilon Decay. - Christoph Böddeker, Tomohiro Nakatani, Keisuke Kinoshita, Reinhold Haeb-Umbach:
Jointly optimal dereverberation and beamforming. - Yotam Gil, Shay Elmalem, Harel Haim, Emanuel Marom, Raja Giryes:
MonSter: Awakening the Mono in Stereo. - Daniel Rodríguez, José Javier Dolado, Javier Tuya, Dietmar Pfahl:
Software defect prediction with zero-inflated Poisson models. - Matteo Turchetta, Felix Berkenkamp, Andreas Krause:
Safe Exploration for Interactive Machine Learning. - Jia Guo, Chenyang Yang:
Structure of Deep Neural Networks with a Priori Information in Wireless Tasks. - Binh Duc Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese. - Yuanhao Guo, Fons J. Verbeek, Ge Yang:
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion. - Evgenii Vinogradov, Franco Minucci, Sofie Pollin:
Wireless communication for safe UAVs: From Long-Range Deconfliction to short-range collision avoidance. - Juan Zuluaga-Gomez, Zeina Al Masry, Khaled Benaggoune, Safa Meraghni, Noureddine Zerhouni:
A CNN-based methodology for breast cancer diagnosis using thermal images. - Jarno Kansanaho, Tommi Kärkkäinen:
Software Framework for Tribotronic Systems. - Antonio Di Stasio, Aniello Murano, Giuseppe Perelli, Moshe Y. Vardi:
Solving Parity Games Using An Automata-Based Algorithm. - Christiane Kuhn, Martin Beck, Thorsten Strufe:
Breaking and (Partially) Fixing Provably Secure Onion Routing. - Abigail Goldsteen, Tomer Douek, Yaniv Cohen, Igor Gokhman, Ofir Keren-Ackerman, Gadi Katsovich, Grisha Weintraub, Doron Ben-Ari:
Forgotten @ Scale: A Practical Solution for Implementing the Right To Be Forgotten in Large-Scale Systems. - Kent Rosser, Jia Kok, Javaan S. Chahl, Josh C. Bongard:
Sim2real gap is non-monotonic with robot complexity for morphology-in-the-loop flapping wing design. - Marco Donatelli, Paola Ferrari, Isabella Furci, Stefano Serra-Capizzano, Debora Sesana:
Multigrid methods for block-Toeplitz linear systems: convergence analysis and applications. - Pieter Delobelle, Bettina Berendt:
Time to Take Emoji Seriously: They Vastly Improve Casual Conversational Models. - Junmo Kang, Haritz Puerto San Roman, Sung-Hyon Myaeng:
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation. - Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire:
Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO. - Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Adolfo Velasco-Hernández, Lenka Krpalkova, Daniel Riordan, Joseph Walsh:
Deep Learning vs. Traditional Computer Vision. - Abhishek Ghose:
Rational Kernels: A survey. - Thomas Adler, Manuel Erhard, Mario Krenn, Johannes Brandstetter, Johannes Kofler, Sepp Hochreiter:
Quantum Optical Experiments Modeled by Long Short-Term Memory. - Johannes Hertrich:
Infinity-Laplacians on Scalar- and Vector-Valued Functions and Optimal Lipschitz Extensions on Graphs. - Sven-Erik Ekström, Paris Vassalos:
A Matrix-Less Method to Approximate the Spectrum and the Spectral Function of Toeplitz Matrices with Complex Eigenvalues. - Ibrohim Nosirov, Jeffrey M. Hokanson:
A Numerical Investigation of the Minimum Width of a Neural Network. - Caroline Ceribeli, Henrique Ferraz de Arruda, Luciano da F. Costa:
How Coupled are Mass Spectrometry and Capillary Electrophoresis? - Maral Safari, Sajad Daei, Farzan Haddadi:
Off-the-grid Recovery of Time and Frequency Shifts with Multiple Measurement Vectors. - Henry Martin, Ye Hong, Dominik Bucher, Christian Rupprecht, René Buffat:
Traffic4cast-Traffic Map Movie Forecasting - Team MIE-Lab. - Mikio Nakano, Kazunori Komatani:
A Framework for Building Closed-Domain Chat Dialogue Systems. - Nikhil Oswal:
Predicting Rainfall using Machine Learning Techniques. - Tharun Medini, Qixuan Huang, Yiqiu Wang, Vijai Mohan, Anshumali Shrivastava:
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products. - Jaber Kakar, Anton Khristoforov, Seyedhamed Ebadifar, Aydin Sezgin:
Uplink-Downlink Tradeoff in Secure Distributed Matrix Multiplication. - Fernando García-Redondo, Shidhartha Das, Glen Rosendale:
Training DNN IoT Applications for Deployment On Analog NVM Crossbars. - Stefan Vlaski, Ali H. Sayed:
Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization. - Stanislav Harizanov, Raytcho D. Lazarov, Svetozar Margenov, Pencho Marinov:
The Best Uniform Rational Approximation: Applications to Solving Equations Involving Fractional powers of Elliptic Operators. - Jeonghun Park:
Rate Analysis of Ultra-Reliable Low-Latency Communications in Random Wireless Networks. - Gerard Awanou:
Weak convergence of Monge-Ampere measures for discrete convex mesh functions. - Jingzhou Sun, Zhiyuan Jiang, Bhaskar Krishnamachari, Sheng Zhou, Zhisheng Niu:
Closed-Form Whittle's Index-Enabled Random Access for Timely Status Update. - Hesham Dar, James Kwan, Yang Liu, Omiros Pantazis, Robert Sharp:
The Game Performance Index for Mobile Phones. - Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke:
Group Centrality Maximization for Large-scale Graphs. - Vasisht Duddu, N. Rajesh Pillai, D. Vijay Rao, Valentina Emilia Balas:
Fault Tolerance of Neural Networks in Adversarial Settings. - Yi Li, Yevgeniy Vorobeychik:
Path Planning Games. - Xing Wei, Chenyang Yang:
Matching Capabilities of Prediction to Communication and Computing for Proactive VR Video Streaming. - Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Risk bounds for reservoir computing. - Yudong Jiang, Kaixu Cui, Bo Peng, Changliang Xu:
Comprehensive Video Understanding: Video summarization with content-based video recommender design. - Duygu Ataman, Wilker Aziz, Alexandra Birch:
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation. - Volodymyr Sokolov, Bohdan Vovkotrub, Yevhen Zotkin:
Comparative Bandwidth Analysis of Low-Power Wireless IoT-Switches. - Gail Weiss, Yoav Goldberg, Eran Yahav:
Learning Deterministic Weighted Automata with Queries and Counterexamples. - Deeparnab Chakrabarty, Paul de Supinski:
On a Decentralized (Δ{+}1)-Graph Coloring Algorithm. - Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund:
Hidden Markov Models for sepsis detection in preterm infants. - Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed:
Interplay between Topology and Social Learning over Weak Graphs. - Benjamin Karg, Teodoro Alamo, Sergio Lucia:
Probabilistic performance validation of deep learning-based robust NMPC controllers. - Ángel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez:
Real-time Convolutional Networks for Depth-based Human Pose Estimation. - Yang Trista Cao, Hal Daumé III:
Toward Gender-Inclusive Coreference Resolution. - Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel:
Neural View-Interpolation for Sparse LightField Video. - Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Pascale Fung:
Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer. - Priyadarshini Panda, Sai Aparna Aketi, Kaushik Roy:
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization. - Wangtao Lu, Jun Lai, Haijun Wu:
On Wellposedness and Convergence of UPML method for analyzing wave scattering in layered media. - Lukas Drude, Jens Heitkaemper, Christoph Böddeker, Reinhold Haeb-Umbach:
SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition. - Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
A Statistical Learning Approach to Reactive Power Control in Distribution Systems. - Janine Glänzel, Andreas Naumann, Tharun Suresh Kumar:
Parallel computing in automation of decoupled fluid-thermostructural simulation approach. - Felix Leeb, Arunkumar Byravan, Dieter Fox:
Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB. - Peter Benner, Pawan Goyal, Igor Pontes Duff:
Identification of Dominant Subspaces for Linear Structured Parametric Systems and Model Reduction. - Mika Hämäläinen, Khalid Al-Najjar:
Let's FACE it. Finnish Poetry Generation with Aesthetics and Framing. - Pedro Mercado, Francesco Tudisco, Matthias Hein:
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs. - Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao:
Understanding the Role of Momentum in Stochastic Gradient Methods. - Giovanni Perrone, Massimo Vecchio, Javier Del Ser, Fabio Antonelli, Vivart Kapoor:
The Internet of Things: a Survey and Outlook. - Giuseppe Carlo Calafiore, Marisa Hillary Morales, Vittorio Tiozzo, Serge Marquie:
A Classifiers Voting Model for Exit Prediction of Privately Held Companies. - Larkin Flodin, Venkata Gandikota, Arya Mazumdar:
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing. - Raghu Meka, Philippe Rigollet, Paxton Turner:
Balancing Gaussian vectors in high dimension. - Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland:
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning. - Piotr Indyk, Ali Vakilian, Yang Yuan:
Learning-Based Low-Rank Approximations. - Simon Foucart, Deanna Needell, Reese Pathak, Yaniv Plan, Mary Wootters:
Weighted matrix completion from non-random, non-uniform sampling patterns. - Dror Simon, Miriam Farber, Roman Goldenberg:
Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles. - Litu Rout:
Is Supervised Learning With Adversarial Features Provably Better Than Sole Supervision? - Surafel Melaku Lakew, Alina Karakanta, Marcello Federico, Matteo Negri, Marco Turchi:
Adapting Multilingual Neural Machine Translation to Unseen Languages. - Ashutosh Singh, Abubakr O. Al-Abbasi, Vaneet Aggarwal:
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning. - Bin Han, Zhiyuan Jiang, Yao Zhu, Hans D. Schotten:
Finite Blocklength Allocation towards Robust Age-of-Information Optimization. - Zhihao Jiang, Kamesh Munagala, Kangning Wang:
Approximately Stable Committee Selection. - Luciano Zemín, Simón Gutiérrez Brida, Santiago Bermúdez, Santiago Perez De Rosso, Nazareno Aguirre, Ali Mili, Ali Jaoua, Marcelo F. Frias:
Stryker: Scaling Specification-Based Program Repair by Pruning Infeasible Mutants with SAT. - Majid Masoumi, Mina Rajabi:
Adaptive Neuro Particle Swarm Optimization applied for diagnosing disorders. - Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao:
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling. - Federico Orsini, Massimiliano Gastaldi, Luca Mantecchini, Riccardo Rossi:
Neural networks trained with WiFi traces to predict airport passenger behavior. - Boel Nelson, Jenni Reuben:
Chasing Accuracy and Privacy, and Catching Both: A Literature Survey on Differentially Private Histogram Publication. - Harnaik Dhami, Kevin Yu, Tianshu Xu, Qian Zhu, Kshitiz Dhakal, James Friel, Song Li, Pratap Tokekar:
Crop Height and Plot Estimation from Unmanned Aerial Vehicles using 3D LiDAR. - Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control. - Ryne Roady, Tyler L. Hayes, Ronald Kemker, Ayesha Gonzales, Christopher Kanan:
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? - Hao Sun, Zhizhong Li, Xiaotong Liu, Dahua Lin, Bolei Zhou:
Policy Continuation with Hindsight Inverse Dynamics. - Hao Sun, Jiadong Guo, Edward J. Kim, Robert J. Brunner:
Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder. - Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen:
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling. - Simon Barthelmé, Konstantin Usevich:
Spectral properties of kernel matrices in the flat limit. - Dan Li, Chunmei Wang, Junping Wang:
Primal-dual weak Galerkin finite element methods for linear convection equations in non-divergence form. - Sébastien Jean, Ankur Bapna, Orhan Firat:
Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation. - Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlali, Cesar Caraballo, Shiwani Mahajan, Harlan M. Krumholz, Dragomir R. Radev:
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation. - Steven Roberts, John Loffeld, Arash Sarshar, Carol S. Woodward, Adrian Sandu:
Implicit multirate GARK methods. - Yifu Sun, Haoming Jiang:
Contextual Text Denoising with Masked Language Models. - S. Rasoul Etesami:
Duality and Stability in Complex Multiagent State-Dependent Network Dynamics. - Sahisnu Mazumder, Bing Liu, Shuai Wang, Sepideh Esmaeilpour:
Building an Application Independent Natural Language Interface. - Kaixin Ma, Jonathan Francis, Quanyang Lu, Eric Nyberg, Alessandro Oltramari:
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering. - Guozhi Dong, Hailong Guo:
Superconvergence of gradient recovery on deviated discretized manifolds. - Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi:
Explainable Prediction of Adverse Outcomes Using Clinical Notes. - Usama Muneeb, Erdem Koyuncu, Yasaman Keshtkarjahromi, Hulya Seferoglu, Mehmet Fatih Erden, Ahmet Enis Çetin:
Robust and Computationally-Efficient Anomaly Detection using Powers-of-Two Networks. - Nathaniel Merrill, Guoquan Huang:
CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure. - Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Sample Complexity of Learning Mixtures of Sparse Linear Regressions. - Rana Abou Khamis, M. Omair Shafiq, Ashraf Matrawy:
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization. - David G. M. Mitchell, Pablo M. Olmos, Michael Lentmaier, Daniel J. Costello Jr.:
Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling. - David J. Major, Danny Yuxing Huang, Marshini Chetty, Nick Feamster:
Alexa, Who Am I Speaking To? Understanding Users' Ability to Identify Third-Party Apps on Amazon Alexa. - He Zhang, John Harlim, Xiantao Li:
Linear Response Based Parameter Estimation in the Presence of Model Error. - Ananth Balashankar, Alyssa Lees, Chris Welty, Lakshminarayanan Subramanian:
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers. - Sam Witty, Alexander K. Lew, David D. Jensen, Vikash Mansinghka:
Bayesian causal inference via probabilistic program synthesis. - Shawkat Sabah Khairullah, Carl R. Elks:
A Self-Repairing Hardware Architecture for Safety-Critical Cyber-Physical-Systems. - Xiaohui Bei, Warut Suksompong:
Dividing a Graphical Cake. - Yibo Jiang, Nakul Verma:
Meta-Learning to Cluster. - Nerio Borges, Ramón Pino Pérez:
Belief revision and 3-valued logics: Characterization of 19, 683 belief change operators. - Andrew J. Davison, Joseph Ortiz:
FutureMapping 2: Gaussian Belief Propagation for Spatial AI. - Xiong Zheng, Vijay K. Garg:
Byzantine Lattice Agreement in Synchronous Systems. - Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu:
Discourse-Aware Neural Extractive Model for Text Summarization. - Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh:
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. - Liang Zhang, Nirwan Ansari:
Backhaul-aware Uplink Communications in Full-Duplex DBS-aided HetNets. - Sergey Pupyrev:
Improved Bounds for Track Numbers of Planar Graphs. - Christoph Grunau, Slobodan Mitrovic, Ronitt Rubinfeld, Ali Vakilian:
Improved Local Computation Algorithm for Set Cover via Sparsification. - Hila Gonen, Yova Kementchedjhieva, Yoav Goldberg:
How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages? - Beidi Chen, Yingchen Xu, Anshumali Shrivastava:
Lsh-sampling Breaks the Computation Chicken-and-egg Loop in Adaptive Stochastic Gradient Estimation. - Jacopo Tagliabue, Reuben Cohn-Gordon:
Lexical Learning as an Online Optimal Experiment: Building Efficient Search Engines through Human-Machine Collaboration. - Graham Cormode, Charlie Dickens:
Iterative Hessian Sketch in Input Sparsity Time. - Sepideh Avizheh, Reihaneh Safavi-Naini, Shuai Li:
Secure Logging with Security against Adaptive Crash Attack. - Patrick Huber, Giuseppe Carenini:
Predicting Discourse Structure using Distant Supervision from Sentiment. - Lisi Jiang, Hamid Jafarkhani:
MmWave Amplify-and-Forward MIMO Relay Networks with Hybrid Precoding/Combining Design. - Wenjie Ding, Xing Wei, Xiaopeng Hong, Rongrong Ji, Yihong Gong:
Universal Adversarial Perturbations Against Person Re-Identification. - Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele:
On the Regularization Properties of Structured Dropout. - Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. - Bidur Khanal, Lavsen Dahal, Prashant Adhikari, Bishesh Khanal:
Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression. - Jialin Wu, Raymond J. Mooney:
Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder. - Samuel Deng, Achille C. Varzi:
Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science. - Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos:
Sobolev Independence Criterion. - Rebecca L. Russell, Christopher P. Reale:
Multivariate Uncertainty in Deep Learning. - (Withdrawn) Generalizing Energy-based Generative ConvNets from Particle Evolution Perspective.
- Shakil M. Khan, Mikhail Soutchanski:
Towards A Logical Account of Epistemic Causality. 1-16 - Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su:
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes. - Robert Künnemann, Deepak Garg, Michael Backes:
Causality & Control Flow. 32-46 - Yuhu Shan:
Distilling Pixel-Wise Feature Similarities for Semantic Segmentation. - Jia-Chyi Wu:
Rate Distortion Study for Time-Varying Autoregressive Gaussian Process. - Yue Ma, Xiaojie Wang, Zhenjiang Dong, Hong Chen:
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue. - Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu:
Learning Disentangled Representations for Recommendation. - Avinash Kori, Manik Sharma:
Dynamic Regularizer with an Informative Prior. - Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Arun Rajendran, Lyle H. Ungar:
DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect. - Fania Mokhayeri, Kaveh Kamali, Eric Granger:
Cross-Domain Face Synthesis using a Controllable GAN. - Chao Ren, Haijun Zhang, Jingze Hou, et al.:
Computation Resource Leasing for Priority Aggregation Local Computing Network. - Sebastian Schuster, Yuxing Chen, Judith Degen:
Harnessing the richness of the linguistic signal in predicting pragmatic inferences. - Frincy Clement, Kirtan Shah, Dhara Pancholi:
A Review of methods for Textureless Object Recognition. - Nebula Alam, Khoi-Nguyen Tran, Sue Ann Chen, John Wagner, Josh Andres, Mukesh K. Mohania:
Towards a Predictive Patent Analytics and Evaluation Platform. - Zehua Zhang, Chen Yu, David J. Crandall:
A Self Validation Network for Object-Level Human Attention Estimation. - Yuichiro Koyama, Bhiksha Raj:
W-Net BF: DNN-based Beamformer Using Joint Training Approach. - Dieterich Lawson, George Tucker, Bo Dai, Rajesh Ranganath:
Energy-Inspired Models: Learning with Sampler-Induced Distributions. - Tianhao Wang, Florian Kerschbaum:
Robust and Undetectable White-Box Watermarks for Deep Neural Networks. - Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao:
Outsourcing Computation: the Minimal Refereed Mechanism. - Xu Zhao:
Parameter Sharing Decoder Pair for Auto Composing. - Xiaoxue Li, Yanan Cao, Yanmin Shang, Yangxi Li, Yanbing Liu, Jianlong Tan:
RLINK: Deep Reinforcement Learning for User Identity Linkage. - Dixiao Wu, Feng Wang, Xiaowen Cao, Jie Xu:
Joint Communication and Computation Optimization for Wireless Powered Mobile Edge Computing with D2D Offloading. - Yi-Wei Huang, Chen-Lung Lu, Kuan-Lin Chen, Po-Sheng Ser, Jui-Te Huang, Yu-Chia Shen, Pin-Wei Chen, Po-Kai Chang, Sheng-Cheng Lee, Hsueh-Cheng Wang:
Duckiefloat: a Collision-Tolerant Resource-Constrained Blimp for Long-Term Autonomy in Subterranean Environments. - Yang P. Liu, Aaron Sidford:
Faster Energy Maximization for Faster Maximum Flow. - Li-Phen Yen, Zheng-Yu Wu, Kuan-Yu Chen:
A neural document language modeling framework for spoken document retrieval. - Prosenjit Bose, Jean-Lou De Carufel, Olivier Devillers:
Expected Complexity of Routing in $Θ$ 6 and Half-$Θ$ 6 Graphs. - Béatrice Bérard, Benedikt Bollig, Mathieu Lehaut, Nathalie Sznajder:
Parameterized Synthesis for Fragments of First-Order Logic over Data Words. - Junru Zhou, Zhuosheng Zhang, Hai Zhao:
LIMIT-BERT : Linguistic Informed Multi-Task BERT. - Yitian Yuan, Lin Ma, Jingwen Wang, Wei Liu, Wenwu Zhu:
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos. - Li Huang, Eun-Young Kang:
Formal Analysis of Hybrid-Dynamic Timing Behaviors in Cyber-Physical Systems. - Nemanja Stefan Perovic, Marco Di Renzo, Mark F. Flanagan:
Channel Capacity Optimization Using Reconfigurable Intelligent Surfaces in Indoor mmWave Environments. - Li Huang, Tian Liang, Eun-Young Kang:
Formal Verification of Dynamic and Stochastic Behaviors for Automotive Systems. - Jiawei Shao, Jun Zhang:
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems. - Maximilian Schäfer, Wayan Wicke, Werner Haselmayr, Rudolf Rabenstein, Robert Schober:
Spherical Diffusion Model with Semi-Permeable Boundary: A Transfer Function Approach. - Zhilin Lu, Jintao Wang, Jian Song:
Multi-resolution CSI Feedback with deep learning in Massive MIMO System. - Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang:
Learning to Customize Language Model for Generation-based dialog systems. - Marco Agnese, Robert Nürnberg:
Fitted front tracking methods for two-phase incompressible Navier-Stokes flow: Eulerian and ALE finite element discretizations. - Boya Di, Hongliang Zhang, Lingyang Song, Yonghui Li, Zhu Han, H. Vincent Poor:
Hybrid Beamforming for Reconfigurable Intelligent Surface based Multi-user Communications: Achievable Rates with Limited Discrete Phase Shifts. - Zhirui Chen, Jianheng Li, Wei-Shi Zheng:
Weakly Supervised Tracklet Person Re-Identification by Deep Feature-wise Mutual Learning. - Marco Calderini:
Differentially low uniform permutations from known 4-uniform functions. - Sebastian Forster, Danupon Nanongkai, Thatchaphol Saranurak, Liu Yang, Sorrachai Yingchareonthawornchai:
Computing and Testing Small Connectivity in Near-Linear Time and Queries via Fast Local Cut Algorithms. - Haitao Xu, Brendan McCane, Lech Szymanski:
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning. - Valeriya Slovikovskaya:
Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Task. - Aleksandar Bojchevski, Stephan Günnemann:
Certifiable Robustness to Graph Perturbations. - Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick:
Object-oriented state editing for HRL. - Durgesh Singh, Arpan Chattopadhyay, Sasthi C. Ghosh:
Distributed Relay Selection in Presence of Dynamic Obstacles in Millimeter Wave D2D Communication. - (Withdrawn) Existence of Stack Overflow Vulnerabilities in Well-known Open Source Projects.
- Gerard Awanou:
The second boundary value problem for a discrete Monge-Ampere equation with symmetrization. - Oleg Balabanov, Anthony Nouy:
Randomized linear algebra for model reduction. Part II: minimal residual methods and dictionary-based approximation. - Paul Brunet:
A note on commutative Kleene algebra. - Huimei Han, Jun Zhao, Dusit Niyato, Marco Di Renzo, Quoc-Viet Pham:
Intelligent Reflecting Surface Aided Network: Power Control for Physical-Layer Broadcasting. - Paul Brunet, David J. Pym:
Pomsets with Boxes: Protection, Separation, and Locality in Concurrent Kleene Algebra. - Raymond R. Devillers, Evgeny Erofeev, Thomas Hujsa:
Efficient Synthesis of Weighted Marked Graphs with Circular Reachability Graph, and Beyond. - Davide Belli, Thomas Kipf:
Image-Conditioned Graph Generation for Road Network Extraction. - Benjamin Doerr, Weijie Zheng:
Sharp Bounds for Genetic Drift in EDAs. - Selena Savic:
Great New Design: How Do We Talk about Media Architecture in Social Media. - Vasisht Duddu, D. Vijay Rao:
Quantifying (Hyper) Parameter Leakage in Machine Learning. - Joshua Ellul, Gordon J. Pace:
Blockchain and the Common Good Reimagined. - Medine Demir, Songül Kaya:
An analysis of a linearly extrapolated BDF2 subgrid artificial viscosity method for incompressible flows. - Aimilia Panagiotou, Bogdan V. Ghita, Stavros Shiaeles, Keltoum Bendiab:
A machine-learning approach to Detect users' suspicious behaviour through the Facebook wall. - Zhiguo Ding:
Robust Beamforming Design for OTFS-NOMA. - Rodrigo Frassetto Nogueira, Wei Yang, Kyunghyun Cho, Jimmy Lin:
Multi-Stage Document Ranking with BERT. - Farzin Haddadpour, Mehrdad Mahdavi:
On the Convergence of Local Descent Methods in Federated Learning. - Martin Redmann:
The missing link between the output and the $\mathcal H_2$-norm of bilinear systems. - Charu C. Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray:
How can AI Automate End-to-End Data Science? - Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese:
Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments. - Joanna Rownicka, Peter Bell, Steve Renals:
Multi-scale Octave Convolutions for Robust Speech Recognition. - Xiang Pan, Tianyu Zhao, Minghua Chen:
DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow. - Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker:
LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. - Rahul Arya, Sunil Arya, Guilherme Dias da Fonseca, David M. Mount:
Optimal Bound on the Combinatorial Complexity of Approximating Polytopes. - Jordan L. Boyd-Graber:
What Question Answering can Learn from Trivia Nerds. - Anton V. Proskurnikov, Giuseppe Carlo Calafiore, Ming Cao:
Recurrent averaging inequalities, opinion formation and distributed algorithms. - Mahdi Barzegar Khalilsarai, Tianyu Yang, Saeid Haghighatshoar, Giuseppe Caire:
Structured Channel Covariance Estimation from Limited Samples in Massive MIMO. - Jiechuan Jiang, Zongqing Lu:
Learning Fairness in Multi-Agent Systems. - Rishabh Jangir, Guillem Alenyà, Carme Torras:
Dynamic Cloth Manipulation with Deep Reinforcement Learning. - Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim:
In-Place Zero-Space Memory Protection for CNN. - Dushyant Rao, Francesco Visin, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu, Raia Hadsell:
Continual Unsupervised Representation Learning. - Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. - Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao:
Semi-supervisedly Co-embedding Attributed Networks. - Andrea Iannelli, Mohammad Khosravi, Roy S. Smith:
Structured exploration in the finite horizon linear quadratic dual control problem. - David Goz, Giorgos Ieronymakis, Vassilis Papaefstathiou, Nikolaos Dimou, Sara Bertocco, Antonio Ragagnin, Luca Tornatore, Giuliano Taffoni, Igor Coretti:
Direct N-body application on low-power and energy-efficient parallel architectures. - Hailey James-Sorenson, David Alvarez-Melis:
Probabilistic Bias Mitigation in Word Embeddings. - R. F. Mutalova, Anton D. Morozov, Andrei Osiptsov, Albert L. Vainshtein, Evgeny V. Burnaev, Egor V. Shel, Grigory V. Paderin:
Machine learning on field data for hydraulic fracturing design optimization. - Marcel Wild:
ALLSAT compressed with wildcards: Frequent Set Mining. - Philippe Ciuciu, Anna Kazeykina:
Anisotropic compressed sensing for non-Cartesian MRI acquisitions. - Zhongyang Zhao, Caisheng Wang, Huaiwei Liao, Carol J. Miller:
Data-driven Analysis of Regional Capacity Factors in a Large-Scale Power Market: A Perspective from Market Participants. - Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? - Camill Trueeb, Carmelo Sferrazza, Raffaello D'Andrea:
Towards vision-based robotic skins: a data-driven, multi-camera tactile sensor. - Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, Bao-Liang Lu:
Document-level Neural Machine Translation with Inter-Sentence Attention. - Maxime Ferrera, Vincent Creuze, Julien Moras, Pauline Trouvé-Peloux:
AQUALOC: An Underwater Dataset for Visual-Inertial-Pressure Localization. - Sufeng Duan, Hai Zhao:
Attention Is All You Need for Chinese Word Segmentation. - Fahimeh Saleh, Alexandre Bérard, Ioan Calapodescu, Laurent Besacier:
Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 2019. - Yi-Wei Huang, Tzu-Kuan Chuang, Ni-Ching Lin, Yu-Chieh Hsiao, Pin-Wei Chen, Ching-Tang Hung, Shih-Hsing Liu, Hsiao-Sheng Chen, Ya-Hsiu Hsieh, Yen-Hsiang Huang, Yu-Xuan Chen, Kuan-Lin Chen, Ya-Jou Lan, Chao-Chun Hsu, Chun-Yi Lin, Jhih-Ying Li, Jui-Te Huang, Yu-Jen Menn, Sin-Kiat Lim, Kim-Boon Lua, Chia-Hung Dylan Tsai, Chi-Fang Chen, Hsueh-Cheng Wang:
Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles - From Duckietown to RobotX. - Wojciech Czaja, Dong Dong, Pierre-Emmanuel Jabin, Franck Olivier Ndjakou Njeunje:
Transport Model for Feature Extraction. - Bharath Honnesara Sreenivasa, Ajay Rajan:
Debian Package usage profiler for Debian based Systems. - Eduardo Scartezini, Willian Barreiros Jr., Tahsin M. Kurç, Jun Kong, Alba C. M. A. Melo, Joel H. Saltz, George Teodoro:
Run-time Parameter Sensitivity Analysis Optimizations. - Sang-Sang Tan, Jin-Cheon Na:
Positional Attention-based Frame Identification with BERT: A Deep Learning Approach to Target Disambiguation and Semantic Frame Selection. - Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Eric Granger:
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance. - Anindya Banerjee, Ramana Nagasamudram, David A. Naumann, Mohammad Nikouei:
Data Abstraction and Relational Program Logic. - Hiren Galiyawala, Mehul S. Raval, Shivansh Dave:
Visual Appearance Based Person Retrieval in Unconstrained Environment Videos. - Hao Yang, Zhongliang Yang, YongJian Bao, Yongfeng Huang:
Fast Steganalysis Method for VoIP Streams. - Yizhak Yisrael Elboher, Justin Gottschlich, Guy Katz:
An Abstraction-Based Framework for Neural Network Verification. - Raimon Fabregat, Nelly Pustelnik, Paulo Gonçalves, Pierre Borgnat:
Solving NMF with smoothness and sparsity constraints using PALM. - Minh-Tan Pham, Sébastien Lefèvre:
Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks. - Alexandre Bérard, Ioan Calapodescu, Marc Dymetman, Claude Roux, Jean-Luc Meunier, Vassilina Nikoulina:
Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness. - Luca Della Libera, Vladimir Golkov, Yue Zhu, Arman Mielke, Daniel Cremers:
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods. - Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela:
Adversarial NLI: A New Benchmark for Natural Language Understanding. - Antti Kuusisto:
On Games and Computation. - Esteban Jiménez-Rodríguez, Aldo-Jonathan Muñoz-Vázquez, Juan Diego Sánchez-Torres, Michael Defoort, Alexander G. Loukianov:
A Lyapunov-like Characterization of Predefined-Time Stability. - Jean-Benoit Delbrouck, Bastien Vanderplaetse, Stéphane Dupont:
Can adversarial training learn image captioning ? - Arvind Neelakantan, Semih Yavuz, Sharan Narang, Vishaal Prasad, Ben Goodrich, Daniel Duckworth, Chinnadhurai Sankar, Xifeng Yan:
Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning. - Peilin Zheng, Zibin Zheng, Liang Chen:
Selecting Reliable Blockchain Peers via Hybrid Blockchain Reliability Prediction. - Azadeh Farzan, Anthony Vandikas:
Reductions for Safety Proofs (Extended Version). - Zhun Fan, Zhaojun Wang, Xiaomin Zhu, Bingliang Hu, An-Min Zou, Dongwei Bao:
An Automatic Design Framework of Swarm Pattern Formation based on Multi-objective Genetic Programming. - Reinhard Heckel, Mahdi Soltanolkotabi:
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators. - Robert Nerem, Peter Crawford-Kahrl, Bree Cummins, Tomás Gedeon:
A poset metric from the directed maximum common edge subgraph. - Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor:
Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks. - Marc Faddoul:
Which Factors Impact Engagement on News Articles on Facebook? - Andrea Barth, Andreas Stein:
A stochastic transport problem with Lévy noise: Fully discrete numerical approximation. - Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff:
Pseudolikelihood Reranking with Masked Language Models. - Zuxuan Wu, Ser-Nam Lim, Larry Davis, Tom Goldstein:
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. - Colin Graber, Alexander G. Schwing:
Graph Structured Prediction Energy Networks. - Jingxiang Lin, Unnat Jain, Alexander G. Schwing:
TAB-VCR: Tags and Attributes based VCR Baselines. - Tiantian Fang, Alexander G. Schwing:
Co-Generation with GANs using AIS based HMC. - Sho Yaida:
Non-Gaussian processes and neural networks at finite widths. - Shuo-Hui Li, Chen-Xiao Dong, Linfeng Zhang, Lei Wang:
Neural Canonical Transformation with Symplectic Flows. - Martin Otto:
Graded modal logic and counting bisimulation. - Venkata Ramana Makkapati, Dipankar Maity, Mehregan Dor, Panagiotis Tsiotras:
C-DOC: Co-State Desensitized Optimal Control. - Jiguang He, Henk Wymeersch, Long Kong, Olli Silvén, Markku J. Juntti:
Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems. - Cory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol:
Semi-supervised voice conversion with amortized variational inference. - Robert Bamler, Cheng Zhang, Manfred Opper, Stephan Mandt:
Tightening Bounds for Variational Inference by Revisiting Perturbation Theory. - Shreyas Fadnavis, Hamza Farooq, Maryam Afzali, Christophe Lenglet, Tryphon T. Georgiou, Hu Cheng, Sharlene D. Newman, Shahnawaz Ahmed, Rafael Neto Henriques, Eric Peterson, Serge Koudoro, Ariel Rokem, Eleftherios Garyfallidis:
Fitting IVIM with Variable Projection and Simplicial Optimization. - Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, David Rushing Dewhurst, Andrew J. Reagan, Christopher M. Danforth:
Fame and Ultrafame: Measuring and comparing daily levels of 'being talked about' for United States' presidents, their rivals, God, countries, and K-pop. - Tianyi Lin, Nhat Ho, Marco Cuturi, Michael I. Jordan:
On the Complexity of Approximating Multimarginal Optimal Transport. - Devansh Arpit, Caiming Xiong, Richard Socher:
Entropy Penalty: Towards Generalization Beyond the IID Assumption. - Raviv Gal, Eldad Haber, Brian Irwin, Bilal Saleh, Avi Ziv:
How To Catch A Lion In The Desert - On The Solution Of The Coverage Directed Generation (CDG) Problem. - Sen Kuang, Xiaoke Guan, Daoyi Dong:
Finite-time stabilization control of quantum systems. - Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira:
Joint Estimation of the Non-parametric Transitivity and Preferential Attachment Functions in Scientific Co-authorship Networks. - Thomas Apel, Serge Nicaise:
Regularity of the solution of the scalar Signorini problem in polygonal domains. - Jan Pospisil, Vladimír Svígler:
Isogeometric analysis in option pricing. - Samuel St-Jean, Max A. Viergever, Alexander Leemans:
Harmonization of diffusion MRI datasets with adaptive dictionary learning. - Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová:
Blind calibration for compressed sensing: State evolution and an online algorithm. - Jana Kolar, Marjan Cugmas, Anuska Ferligoj:
Towards Key Performance Indicators of Research Infrastructures. - Myunghun Jung, Hyungjun Lim, Jahyun Goo, Youngmoon Jung, Hoirin Kim:
Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings. - Jacob Søgaard Larsen, Line H. Clemmensen:
Deep learning for Chemometric and non-translational data. - Tomohiro Nishiyama:
Monotonically Decreasing Sequence of Divergences. - Jiancheng Lyu, Jack Xin, Yifeng Yu:
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. - Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe:
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings. - Manuel Traub, Johannes Stegmaier:
Towards Automatic Embryo Staging in 3D+T Microscopy Images using Convolutional Neural Networks and PointNets. - Konstantin Korishchenko, Ivan Stankevich, Nikolay Pilnik, Daria Petrova:
Usage-Based Vehicle Insurance: Driving Style Factors of Accident Probability and Severity. - Manon Kok, Thomas B. Schön:
A Fast and Robust Algorithm for Orientation Estimation using Inertial Sensors. - Johannes Bausch, Felix Leditzky:
Error Thresholds for Arbitrary Pauli Noise. - Clément Maria:
Parameterized complexity of quantum invariants. - Alexey Györi, Mathis Niederau, Violett Zeller, Volker Stich:
Evaluation of Deep Learning-based prediction models in Microgrids. - Lou Salaün, Marceau Coupechoux, Chung Shue Chen:
Joint Subcarrier and Power Allocation in NOMA: Optimal and Approximate Algorithms. - Francisco Aparecido Rodrigues, Thomas K. D. M. Peron, Colm Connaughton, Jürgen Kurths, Yamir Moreno:
A machine learning approach to predicting dynamical observables from network structure. - Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett:
An Efficient Sampling Algorithm for Non-smooth Composite Potentials. - Lin Lin, Michael Lindsey:
Variational embedding for quantum many-body problems. - Shahram Ghorbani, Soheil Khorram, John H. L. Hansen:
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition. - Xi Yang, Yan Gong, Nida Waheed, Keith March, Jiang Bian, William R. Hogan, Yonghui Wu:
Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods. - Rhys E. A. Goodall, Alpha A. Lee:
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry. - Asif J. Chowdhury, Wenqiang Yang, Kareem E. Abdelfatah, Mehdi Zare, Andreas Heyden, Gabriel Terejanu:
A Multiple Filter Based Neural Network Approach to the Extrapolation of Adsorption Energies on Metal Surfaces for Catalysis Applications. - Tieyuan Lu, Xinlin Zhang, Yihui Huang, Yonggui Yang, Gang Guo, Lijun Bao, Feng Huang, Di Guo, Xiaobo Qu:
pISTA-SENSE-ResNet for Parallel MRI Reconstruction. - Anis Koubaa, Abdulrahman Aldawood, Bassel Saeed, Abdullatif Hadid, Mohanned Ahmed, Abdulrahman Saad, Hesham Alkhouja, Mohamed I. Alkanhal:
Smart Palm: An IoT Framework for Red Palm Weevil Early Detection. - Benjamin Rossman:
Thresholds in the Lattice of Subspaces of (Fq)n. - Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley:
Enhancing high-content imaging for studying microtubule networks at large-scale. - Hang Woon Lee, Seiichi Shimizu, Shoji Yoshikawa, Koki Ho:
Satellite Constellation Design Methodology for Optimal Regional Coverage. - Eric Nathan Carver, Zhenzhen Dai, Evan Liang, James M. Snyder, Ning Wen:
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients. - Sudhir Sornapudi, Gregory T. Brown, Zhiyun Xue, L. Rodney Long, Lisa Allen, Sameer K. Antani:
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images. - Jonas Köhler, Leon Klein, Frank Noé:
Equivariant Flows: sampling configurations for multi-body systems with symmetric energies. - Kartikeya Bhardwaj, Radu Marculescu:
Towards Unifying Neural Architecture Space Exploration and Generalization. - Dongsheng Ding, Mihailo R. Jovanovic:
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach. - Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele, Xavier Siebert:
Near-Convex Archetypal Analysis. - Igor Pontes Duff, Pawan Goyal, Peter Benner:
Data-Driven Identification of Rayleigh-Damped Second-Order Systems. - Nikita Stroev, Natalia G. Berloff:
Discrete Polynomial Optimization with Coherent Networks of Condensates and Complex Coupling Switching. - Mei-Mei Gu, Jou-Ming Chang, Rong-Xia Hao:
Strong Menger connectedness of augmented k-ary n-cubes. - Michael Golosovsky:
Prediction of citation dynamics of individual papers. - Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile:
Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. - Tom Ryder, Andrew Golightly, Isaac Matthews, Dennis Prangle:
Scalable approximate inference for state space models with normalising flows. - Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann:
Neural network augmented wave-equation simulation. - Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch:
Deep learning at scale for subgrid modeling in turbulent flows. - José A. Ferreira:
A note on the consistency of the random forest algorithm. - Yuhua Chen, Jaime L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking. - Jacob Leygonie, Steve Oudot, Ulrike Tillmann:
A Framework for Differential Calculus on Persistence Barcodes. - M. Amir Siddiq:
Deformation and failure in nanomaterials via a data driven modelling approach. - Nikolay A. Simakov, Renette L. Jones-Ivey, Ali Akhavan-Safaei, Hossein Aghakhani, Matthew D. Jones, Abani K. Patra:
Modernizing Titan2D, a Parallel AMR Geophysical Flow Code to Support Multiple Rheologies and Extendability. - Mohammad Naghnaeian, Petros G. Voulgaris, Nicola Elia:
A Youla Operator State-Space Framework for Stably Realizable Distributed Control. - Domonkos Varga:
Empirical evaluation of full-reference image quality metrics on MDID database. - Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. - Tim Mitchell:
Fast Interpolation-based Globality Certificates for Computing Kreiss Constants and the Distance to Uncontrollability. - Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio:
Learning Neural Causal Models from Unknown Interventions. - Juan Luis Gonzalez Bello, Munchurl Kim:
Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations. - Changhun Jung, Mohammed Abuhamad, Jumabek Alikhanov, Aziz Mohaisen, Kyungja Han, DaeHun Nyang:
W-Net: A CNN-based Architecture for White Blood Cells Image Classification. - Orestes Manzanilla-Salazar, Filippo Malandra, Hakim Mellah, Constant Wette, Brunilde Sansò:
A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure. - M. Levent Dogan, Alperen Ali Ergür, Jake D. Mundo, Elias P. Tsigaridas:
The Multivariate Schwartz-Zippel Lemma. - Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß:
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods. - Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag:
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. - Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert:
Stochastic gradient descent for hybrid quantum-classical optimization. - Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean D. Mooney, Christine Suver, John Wilbanks, Lara M. Mangravite, Patricki J. Heagerty, Pat A. Areán, Larsson Omberg:
Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants. - Andrew Liu, Mason A. Porter:
Spatial Strength Centrality and the Effect of Spatial Embeddings on Network Architecture. - Zhengli Zhao, Nicolas Papernot, Sameer Singh, Neoklis Polyzotis, Augustus Odena:
Improving Differentially Private Models with Active Learning. - Pierre Lifeng Li, Sofiane Achiche, Laurent Blanchet, Samuel Lecours, Maxime Raison:
Design of an assistive trunk exoskeleton based on multibody dynamic modelling. - Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu:
Cardiac Segmentation of LGE MRI with Noisy Labels. - Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang:
Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network. - Xiaoqiang Wang, Lejia Gu, Heung-Wing Joseph Lee, Guofeng Zhang:
Quantum tensor singular value decomposition with applications to recommendation systems. - Andréanne Lemay:
Kidney Recognition in CT Using YOLOv3. - Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent. - Dunbiao Niu, Chengjing Wang, Peipei Tang, Qingsong Wang, Enbin Song:
A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines. - Haizi Yu, Igor Mineyev, Lav R. Varshney:
Orbit Computation for Atomically Generated Subgroups of Isometries of Zn. - Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang:
Privately detecting changes in unknown distributions. - Anna-Laura Sattelberger, Bernd Sturmfels:
D-Modules and Holonomic Functions. - Nan Meng, Hayden Kwok-Hay So, Xing Sun, Edmund Y. Lam:
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction. - Masashi Wakaiki, Yutaka Yamamoto:
Stability Analysis of Perturbed Infinite-dimensional Sampled-data Systems. - Shaival Hemant Nagarsheth, Shambhu Nath Sharma:
RNGA for non-square multivariable control systems: properties and application. - Ruyong Feng:
Note on the construction of Picard-Vessiot rings for linear differential equations. - Alexander Yu. Vlasov:
Cloud-Assisted Contracted Simulation of Quantum Chains. - Shan Lin, Jingwei Zhang:
Generalization Bounds for Convolutional Neural Networks. - Yang Qu, Ming-Xi Wang:
The option pricing model based on time values: an application of the universal approximation theory on unbounded domains. - Kei Nakagawa, Masaya Abe, Junpei Komiyama:
A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy. - Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer:
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. - Finnian Lattimore, David Rohde:
Causal inference with Bayes rule. - Muhammad Osama, Dave Zachariah, Peter Stoica:
Robust Risk Minimization for Statistical Learning. - Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemyslaw R. Grzybowski:
Efficient training of energy-based models via spin-glass control. - Alexandre René, André Longtin, Jakob H. Macke:
Inference of a mesoscopic population model from population spike trains. - Martin Slawski, Guoqing Diao, Emanuel Ben-David:
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data. - Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley:
Improving Limited Angle CT Reconstruction with a Robust GAN Prior. - Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer, Brian K. Spears:
Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion. - Therese Biedl:
A note on 1-planar graphs with minimum degree 7. - Kyong Hwan Jin, Harshit Gupta, Jerome Yerly, Matthias Stuber, Michael Unser:
Time-Dependent Deep Image Prior for Dynamic MRI. - Yichi Zhang, Daniel W. Apley, Wei Chen:
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables. - Jordan Guerguiev, Konrad P. Körding, Blake A. Richards:
Spike-based causal inference for weight alignment. - Samuel Jaques, Michael Naehrig, Martin Roetteler, Fernando Virdia:
Implementing Grover oracles for quantum key search on AES and LowMC. - Jianhong Chen, Huang Huang, Wenrui Hao, Jinchao Xu:
A machine learning method correlating pulse pressure wave data with pregnancy. - Zhen Zeng, Yuefeng Lu, Judong Shen, Wei Zheng, Peter Shaw, Mary Beth Dorr:
A Random Interaction Forest for Prioritizing Predictive Biomarkers. - Sebastian Wiederrecht:
A Note on Directed Treewidth. - Yuta Saito, Gota Morishita, Shota Yasui:
Dual Learning Algorithm for Delayed Feedback in Display Advertising. - Marc Bezem, Ulrik Buchholtz, Daniel R. Grayson:
Construction of the Circle in UniMath. - Marta Fiori-Carones, Alberto Marcone:
To reorient is easier than to orient: an on-line algorithm for reorientation of graphs. - Fabian Neumann, Tom Brown:
The Near-Optimal Feasible Space of a Renewable Power System Model. - Trivikram Dokka, Richlove Frimpong:
Approximate policy iteration using neural networks for storage problems. - Niklas Fehn, Peter Munch, Wolfgang A. Wall, Martin Kronbichler:
Hybrid multigrid methods for high-order discontinuous Galerkin discretizations. - Gino Gulamhussene, Fabian Joeres, Marko Rak, Maciej Pech, Christian Hansen:
4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings. - Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort:
Multi-subject MEG/EEG source imaging with sparse multi-task regression. - Majid Noroozi, Ramchandra Rimal, Marianna Pensky:
Sparse Popularity Adjusted Stochastic Block Model. - Alperen Ali Ergür, Timo de Wolff:
A Polyhedral Homotopy Algorithm For Real Zeros. - Ying Zhang, Ömer Deniz Akyildiz, Theo Damoulas, Sotirios Sabanis:
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization. - Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese:
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization. - Eduardo A. Soares, Plamen Angelov:
Fair-by-design explainable models for prediction of recidivism. - Shahin Gelareh:
A note on 'Collaborative hub location problem under cost uncertainty'. - Erich Kummerfeld, Alexander Rix:
Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration. - Junho Cho, Sethumadhavan Chandrasekhar, Erixhen Sula, Samuel Olsson, Ellsworth Burrows, Gregory Raybon, Roland Ryf, Nicolas K. Fontaine, Jean-Christophe Antona, Steve Grubb, Peter J. Winzer, Andrew R. Chraplyvy:
Supply-Power-Constrained Cable Capacity Maximization Using Deep Neural Networks. - V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson:
AI Assisted Annotator using Reinforcement Learning. - Markus Frey, Matthias Nau:
Memory efficient brain tumor segmentation using an autoencoder-regularized U-Net. - Guillaume Verdon, Jacob Marks, Sasha Nanda, Stefan Leichenauer, Jack Hidary:
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm. - Gavin S. Hartnett, Andrew J. Lohn, Alexander P. Sedlack:
Adversarial Examples for Cost-Sensitive Classifiers. - Mohamad T. Shahab, Daniel E. Miller:
A Convolution Bound Implies Tolerance to Time-variations and Unmodelled Dynamics. - Katherine C. Kempfert, Yishi Wang, Cuixian Chen, Samuel W. K. Wong:
A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification. - Hao Yan, Kamran Paynabar, Jianjun Shi:
AKM2D : An Adaptive Framework for Online Sensing and Anomaly Quantification. - Myrto Arapinis, Mahshid Delavar, Mina Doosti, Elham Kashefi:
Quantum Physical Unclonable Functions: Possibilities and Impossibilities. - Y. Yang, Ujwal Radhakrishna, D. Ward, Anantha P. Chandrakasan, Jeffrey H. Lang:
A Silicon MEMS EM vibration energy harvester. - Akshay Iyer, Biswadip Dey, Arindam Dasgupta, Wei Chen, Amit Chakraborty:
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods. - Deepta Rajan, David Beymer, Shafiqul Abedin, Ehsan Dehghan:
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images. - Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung:
Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI. - Farhad Farokhi:
A Fundamental Bound on Performance of Non-Intrusive Load Monitoring with Application to Smart Meter Privacy. - Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong:
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes. - Mikhail N. Rybakov, Dmitry Shkatov:
Complexity of finite-variable fragments of propositional modal logics of symmetric frames. - Pierre Marion, Maxime Godin, Pierre L'Ecuyer:
An algorithm to compute the t-value of a digital net and of its projections. - Daniele Bartoli, Corrado Zanella, Ferdinando Zullo:
A new family of maximum scattered linear sets in PG(1, q6). - Wei Wu, Xukun Li, Peng Du, Guanjing Lang, Min Xu, Kaijin Xu, Lanjuan Li:
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis. - Binghan He, Gray C. Thomas, Luis Sentis:
Robust Estimator-Based Safety Verification: A Vector Norm Approach. - Rahul Parhi, Robert D. Nowak:
Minimum "Norm" Neural Networks are Splines. - Wei Ma, Sean Qian:
High-Resolution Traffic Sensing with Autonomous Vehicles. - Gregory Dobler, Jordan Vani, Trang Tran Linh Dam:
Patterns of Urban Foot Traffic Dynamics. - P. Yushmanov, T. Takizuka, K. Riedel, O. Kardaun, J. Cordey, S. Kaye, D. Post:
Scalings for Tokamak Energy Confinement. - Shao-Bo Lin, Yu Guang Wang, Ding-Xuan Zhou:
Distributed filtered hyperinterpolation for noisy data on the sphere. - Maike Lorena Stern, Martin Schellenberger:
Fully Convolutional Networks for Chip-wise Defect Detection Employing Photoluminescence Images. - Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang:
Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization. - Anirban Chaudhuri, Alexandre Noll Marques, Karen E. Willcox:
mfEGRA: Multifidelity Efficient Global Reliability Analysis. - Milan Straka, Pasquale De Falco, Gabriella Ferruzzi, Daniela Proto, Gijs van der Poel, Shahab Khormali, Lubos Buzna:
Predicting popularity of EV charging infrastructure from GIS data. - Philip Versteeg, Joris M. Mooij:
Boosting Local Causal Discovery in High-Dimensional Expression Data. - Shuohao Liao:
Analysis of tensor methods for stochastic models of gene regulatory networks. - Yucheng Zheng, M. Salman Asif:
Joint Image and Depth Estimation with Mask-Based Lensless Cameras. - Jesse P. Geerts, Kimberly L. Stachenfeld, Neil Burgess:
Probabilistic Successor Representations with Kalman Temporal Differences. - Du Nguyen:
A theorem of Kalman and minimal state-space realization of Vector Autoregressive Models. - Md. Kamrul Hasan, Nazmus Sakib, Joshua Field, Richard R. Love, Sheikh Iqbal Ahamed:
A Novel Technique of Noninvasive Hemoglobin Level Measurement Using HSV Value of Fingertip Image. - Zhen Han, Enyan Dai, Xu Jia, Xiaoying Ren, Shuaijun Chen, Chunjing Xu, Jianzhuang Liu, Qi Tian:
Unsupervised Image Super-Resolution with an Indirect Supervised Path. - Hongyu Guo, Khalique Newaz, Scott J. Emrich, Tijana Milenkovic, Jun Li:
Weighted graphlets and deep neural networks for protein structure classification. - Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. - Bruno Apolloni:
An Algorithmic Inference Approach to Learn Copulas. - Kirsten Koolstra, Peter Börnert, Boudewijn P. F. Lelieveldt, Andrew G. Webb, Oleh Dzyubachyk:
Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries. - Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten U. Kortuem, Volker Tresp:
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. - Oliver Knill:
A simple sphere theorem for graphs. - Marília Alves, Rosângela Coelho, Eloi Dranka:
Effective Acoustic Energy Sensing Exploitation for Target Sources Localization in Urban Acoustic Scenes. - César Medina, Rosangela Coelho:
Impulsive Noise Detection for Intelligibility and Quality Improvement of Speech Enhancement Methods Applied in Time-Domain. - Guilherme Zucatelli, Rosângela Coelho:
Adaptive Reverberation Absorption using Non-stationary Masking Components Detection for Intelligibility Improvement. - Edoardo Giacomello, Daniele Loiacono, Luca T. Mainardi:
Transfer Brain MRI Tumor Segmentation Models Across Modalities with Adversarial Networks. - Sergey Bartunov, Jack W. Rae, Simon Osindero, Timothy P. Lillicrap:
Meta-Learning Deep Energy-Based Memory Models. - Leonardo Cella, Nicolò Cesa-Bianchi:
Stochastic Bandits with Delay-Dependent Payoffs. - Vladislav Levshinskii, Maxim V. Polyakov, Alexander Losev, Alexander V. Khoperskov:
Verification and Validation of Computer Models for Diagnosing Breast Cancer Based on Machine Learning for Medical Data Analysis. - Gerold Jäger, Klas Markström, Denys Shcherbak, Lars-Daniel Öhman:
Small Youden Rectangles and Their Connections to Other Row-Column Designs. - Haris Cheong, Sripad Krishna Devalla, Tan Hung Pham, Zhang Liang, Tin Aung Tun, Xiaofei Wang, Shamira A. Perera, Leopold Schmetterer, Tin Aung, Craig Boote, Alexandre H. Thiéry, Michael J. A. Girard:
DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images. - Iggy van Hoof:
Space-efficient quantum multiplication of polynomials for binary finite fields with sub-quadratic Toffoli gate count. - Steven Herbert, Sathyawageeswar Subramanian:
Spectral sparsification of matrix inputs as a preprocessing step for quantum algorithms. - Kumar Abhishek, Sneha Maheshwari, Sujit Gujar:
Introduction to Concentration Inequalities. - Alessandro Greco, Vladimir Starostin, Christos Karapanagiotis, Alexander Hinderhofer, Alexander Gerlach, Linus Pithan, Sascha Liehr, Frank Schreiber, Stefan Kowarik:
Fast Fitting of Reflectivity Data of Growing Thin Films Using Neural Networks. - Tim R. Davidson, Jakub M. Tomczak, Efstratios Gavves:
Increasing Expressivity of a Hyperspherical VAE. - Gerold Jäger, Klas Markström, Denys Shcherbak, Lars-Daniel Öhman:
Enumeration of Sets of Mutually Orthogonal Latin Rectangles. - Shihao Jin, Nicoló Savioli, Antonio de Marvao, Timothy J. W. Dawes, Axel Gandy, Daniel Rueckert, Declan P. O'Regan:
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network. - Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung:
Data-Driven Operator Theoretic Methods for Global Phase Space Learning. - Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atilim Günes Baydin, Dietmar Backes:
Flood Detection On Low Cost Orbital Hardware. - Zeyu Bai, Ruizhi Yang, Youzhi Liang:
Mental Task Classification Using Electroencephalogram Signal. - Hyenkyun Woo:
Bregman-divergence-guided Legendre exponential dispersion model with finite cumulants (K-LED). - José A. Carrillo, Jingwei Hu, Li Wang, Jeremy Wu:
A particle method for the homogeneous Landau equation. - Rasoul Sali, Lubaina Ehsan, Kamran Kowsari, Marium N. Khan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown:
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks. - Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt:
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. - Pedro M. Milani, Julia Ling, John K. Eaton:
Generalization of machine-learned turbulent heat flux models applied to film cooling flows. - Feras Batarseh, Munisamy Gopinath, Ganesh Nalluru, Jayson Beckman:
Application of Machine Learning in Forecasting International Trade Trends. - Evan Cavallo:
Stable factorization from a fibred algebraic weak factorization system. - Dimitris Bertsimas, Ryan Cory-Wright:
On Polyhedral and Second-Order-Cone Decompositions of Semidefinite Optimization Problems. - Matthew C. Hancock, Jerry F. Magnan:
Lung nodule segmentation via level set machine learning. - Kerry A. Nice, Gideon D. P. A. Aschwanden, Jasper S. Wijnands, Jason Thompson, Haifeng Zhao, Mark Stevenson:
The Nature of Human Settlement: Building an understanding of high performance city design. - Lorenzo Federici, Alessandro Zavoli, Guido Colasurdo, Lucandrea Mancini, Agostino Neri:
Integrated Optimization of Ascent Trajectory and SRM Design of Multistage Launch Vehicles. - Kun Zhu, Marta Victoria, Tom Brown, Gorm Bruun Andresen, Martin Greiner:
Impact of climatic, technical and economic uncertainties on the optimal design of a CO2-neutral electricity, heating and cooling system in Europe. - Oliver Gäfvert:
Computational complexity in algebraic regression. - Anastasis Kratsios:
Universal Approximation Theorems. - Eero Hirvijoki:
Charge-conserving, variational particle-in-cell method for the drift-kinetic Vlasov-Maxwell system. - Nina Aguillon, Pierre-Antoine Guihéneuf:
Dynamical behavior of a nondiffusive scheme for the advection equation. - Maurice Weber, Cédric Renggli, Helmut Grabner, Ce Zhang:
Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy. - Lorenzo De Stefani, Eli Upfal:
A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis. - Yu Zhang, Li Yu, Qi-Ping Su, Zhe Sun, Fuqun Wang, Xiao-Qiang Xu, Qingjun Xu, Jin-Shuang Jin, Kefei Chen, Chui-Ping Yang:
A framework for quantum homomorphic encryption with experimental demonstration. - Apoorva Khare:
Sharp uniform lower bounds for the Schur product theorem. - Tomas Jakl:
Canonical extensions of locally compact frames. - Claudine von Hallern, Andreas Rößler:
An Analysis of the Milstein Scheme for SPDEs without a Commutative Noise Condition. - Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs:
Bregman Proximal Framework for Deep Linear Neural Networks. - Denis Belomestny, Leonid Iosipoi, Eric Moulines, Alexey Naumov, Sergey Samsonov:
Variance reduction for Markov chains with application to MCMC. - Marco Pasini:
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms. - (Withdrawn) Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network.
- Vladyslav Oles, Anton Kukushkin:
BoolSi: a tool for distributed simulations and analysis of Boolean networks. - Joshua Brakensiek, Marijn Heule, John Mackey:
The Resolution of Keller's Conjecture. - Ao Zheng, Hewei Gao, Li Zhang, Yuxiang Xing:
A cascaded dual-domain deep learning reconstruction method for sparsely spaced multidetector helical CT. - Tobias Fritz, Paolo Perrone, Sharwin Rezagholi:
Probability, valuations, hyperspace: Three monads on Top and the support as a morphism. - Juntao Wang, Yang Liu, Yiling Chen:
Forecast Aggregation via Peer Prediction. - Pouria Ramazi, Ming Cao:
Global Convergence for Replicator Dynamics of Repeated Snowdrift Games. - Ravi Teja Nallapu, Jekan Thangavelautham:
Towards End-To-End Design of Spacecraft Swarms for Small-Body Reconnaissance. - Greg Wilburn, Himangshu Kalita, Jekan Thangavelautham:
Development and Testing of an Engineering Model for an Asteroid Hopping Robot. - Song Liu, Takafumi Kanamori:
Estimating Density Models with Complex Truncation Boundaries. - Hicham Janati, Marco Cuturi, Alexandre Gramfort:
Spatio-Temporal Alignments: Optimal transport through space and time. - James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni:
Private Protocols for U-Statistics in the Local Model and Beyond. - Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter:
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline. - Mark M. Wilde, Sumeet Khatri, Eneet Kaur, Saikat Guha:
Second-order coding rates for key distillation in quantum key distribution. - Ömer Deniz Akyildiz, Theodoros Damoulas, Mark F. J. Steel:
Probabilistic sequential matrix factorization. - Md. Hasan Raza Ansari, Jawar Singh:
Improvement in Retention Time of Capacitorless DRAM with Access Transistor. - Mohammed H. K. Alser:
Accelerating the Understanding of Life's Code Through Better Algorithms and Hardware Design. - Shantanu Prasad Burnwal, Mathukumalli Vidyasagar, Kaneenika Sinha:
Deterministic Completion of Rectangular Matrices Using Ramanujan Bigraphs - II: Explicit Constructions and Phase Transitions. - Alexey Ovchinnikov, Gleb Pogudin, Peter Thompson:
Input-output equations and identifiability of linear ODE models. - Julius von Kügelgen, Paul K. Rubenstein, Bernhard Schölkopf, Adrian Weller:
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks. - Andrea Mariani, Andrea Giorgetti, Marco Chiani:
Model Order Selection Based on Information Theoretic Criteria: Design of the Penalty. - Guilherme Aresta, Carlos A. Ferreira, João Pedrosa, Teresa Araújo, João Rebelo, Eduardo Negrão, Margarida Morgado, Filipe Alves, António Cunha, Isabel Ramos, Aurélio Campilho:
Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance. - Qingchun Hou, Yanghao Yu, Ershun Du, Hongjie He, Ning Zhang, Chongqing Kang, Guojing Liu, Huan Zhu:
Embedding Lithium-ion Battery Scrapping Criterion and Degradation Model in Optimal Operation of Peak-shaving Energy Storage. - Malay Singh, Emarene Mationg Kalaw, Jie Wang, Mundher Al-Shabi, Chin Fong Wong, Danilo Medina Giron, Kian-Tai Chong, Maxine Tan, Zeng Zeng, Hwee Kuan Lee:
Cribriform pattern detection in prostate histopathological images using deep learning models. - Ran Xin, Usman A. Khan, Soummya Kar:
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking - Part II: GT-SVRG. - Taiyu Zhu, Kezhi Li, Pantelis Georgiou:
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning. - Weiwei Li, Jan Hannig, Corbin Jones:
A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping. - Henri Tiittanen, Emilia Oikarinen, Andreas Henelius, Kai Puolamäki:
Estimating regression errors without ground truth values. - Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti:
Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-Resolution. - Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. - Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon:
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth Measure. - Poompol Buathong, David Ginsbourger, Tipaluck Krityakierne:
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization. - Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Learning with minibatch Wasserstein : asymptotic and gradient properties. - Dima Grigoriev, Alexandru Iosif, Hamid Rahkooy, Thomas Sturm, Andreas Weber:
Efficiently and Effectively Recognizing Toricity of Steady State Varieties. - Jonathan H. Huggins, Mikolaj Kasprzak, Trevor Campbell, Tamara Broderick:
Practical Posterior Error Bounds from Variational Objectives. - Razieh Nabi, Daniel Malinsky, Ilya Shpitser:
Optimal Training of Fair Predictive Models. - Gregory Canal, Stefano Fenu, Christopher J. Rozell:
Active ordinal tuplewise querying for similarity learning. - Micha Livne, Kevin Swersky, David J. Fleet:
High Mutual Information in Representation Learning with Symmetric Variational Inference. - Xi Chen, Akshay Krishnamurthy, Yining Wang:
Robust Dynamic Assortment Optimization in the Presence of Outlier Customers. - Melanie Weber, Suvrit Sra:
Nonconvex stochastic optimization on manifolds via Riemannian Frank-Wolfe methods. - Samuel J. Ferguson, Nat Sothanaphan:
Addendum to "Fuglede's conjecture fails in 4 dimensions over odd prime fields". - Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin:
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. - Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck:
Privacy-Preserving Obfuscation for Distributed Power Systems. - Saravanan Venkatachalam, Manish Bansal, Jonathon M. Smereka, Joseph Lee:
Two-stage stochastic programming approach for path planning problems under travel time and availability uncertainties. - Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas K. Maier:
Image Quality Assessment for Rigid Motion Compensation. - Elena Giusarma, Mauricio Reyes Hurtado, Francisco Villaescusa-Navarro, Siyu He, Shirley Ho, ChangHoon Hahn:
Learning neutrino effects in Cosmology with Convolutional Neural Networks. - Yingni Guo, Eran Shmaya:
Robust Monopoly Regulation. - Hao Chen, Tristan Sarton du Jonchay, Linyi Hou, Koki Ho:
Multi-Fidelity Space Mission Planning and Infrastructure Design Framework for Space Resource Logistics. - Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen:
Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁2, ∞ Statistical Guarantees. - René Carmona, Mathieu Laurière, Zongjun Tan:
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods. - Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders:
Implementing a smooth exact penalty function for equality-constrained nonlinear optimization. - Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei, Michalis K. Titsias:
Prescribed Generative Adversarial Networks. - Samir Chowdhury, Tom Needham:
Gromov-Wasserstein Averaging in a Riemannian Framework. - Zhongyang Li:
Exact Recovery of Community Detection in k-partite Graph Models. - Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
One Sample Stochastic Frank-Wolfe. - Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni:
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound. - Francesco Zanlungo, Luca Crociani, Zeynep Yücel, Takayuki Kanda:
The effect of social groups on the dynamics of bi-directional pedestrian flow: a numerical study. - Peijun Xiao, Zhisheng Xiao, Ruoyu Sun:
Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity. - Luca Mazzon, Yuma Koizumi, Masahiro Yasuda, Noboru Harada:
First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation. - Yivan Zhang, Nontawat Charoenphakdee, Masashi Sugiyama:
Learning from Indirect Observations. - Junyoung Byun, Kyujin Shim, Changick Kim:
BitNet: Learning-Based Bit-Depth Expansion. - Vivek S. Borkar, Shantanu Choudhary, Vaibhav Kumar Gupta, Gaurav S. Kasbekar:
Scheduling in Wireless Networks with Spatial Reuse of Spectrum as Restless Bandits. - Tiebin Mi, Robert Caiming Qiu:
Asymptotics of empirical eigenvalues for large separable covariance matrices. - Masahiro Yasuda, Yuma Koizumi, Luca Mazzon, Shoichiro Saito, Hisashi Uematsu:
DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector. - Bing-Ze Yan, Haokun Mao, Xiao-Feng Xue, Qiong Li:
High-speed Privacy Amplification Scheme using GMP in Quantum Key Distribution. - Ye Ye, Xiao Rong Hang, Jin Ming Koh, Jaroslaw Adam Miszczak, Kang Hao Cheong, Nenggang Xie:
Passive network evolution promotes group welfare in complex networks. - Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Domenico Iuso, Georg Rose, Oliver Speck:
Breathing deformation model - application to multi-resolution abdominal MRI. - Tam Le, Nhat Ho, Makoto Yamada:
Computationally Efficient Tree Variants of Gromov-Wasserstein. - Juan Carlos Cabanillas-Noris, Ildefonso Leon-Monzon, Mario-Ivan Martinez-Hernandez, Solangel Rojas-Torres:
Analysis of Requirements for the Design of a Detector Control System in a High Energy Physics (HEP) Experiment. - Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada:
Multi-Stage Pathological Image Classification using Semantic Segmentation. - Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan:
Image Super-Resolution via Attention based Back Projection Networks. - Tam Le, Viet Huynh, Nhat Ho, Dinh Q. Phung, Makoto Yamada:
On Scalable Variant of Wasserstein Barycenter. - Samuel Marchal, Sebastian Szyller:
Detecting organized eCommerce fraud using scalable categorical clustering. - Venkata K. Ramaswamy, Chris G. Willcocks, Matteo T. Degiacomi:
Learning protein conformational space by enforcing physics with convolutions and latent interpolations. - Paul Burchard:
Lower Bounds for Parallel Quantum Counting. - Tahir Ekin, Roi Naveiro, Alberto Torres-Barrán, David Ríos Insua:
Augmented Probability Simulation Methods for Non-cooperative Games. - Taiping Zeng, Xiaoli Li, Bailu Si:
Learning Sparse Spatial Codes for Cognitive Mapping Inspired by Entorhinal-Hippocampal Neurocircuit. - Ben Glocker, Robert Robinson, Daniel Coelho de Castro, Qi Dou, Ender Konukoglu:
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. - Manzhang Xu, Bijun Tang, Chao Zhu, Yuhao Lu, Chao Zhu, Lu Zheng, Jingyu Zhang, Nannan Han, Yuxi Guo, Jun Di, Pin Song, Yongmin He, Lixing Kang, Zhiyong Zhang, Wu Zhao, Cuntai Guan, Xuewen Wang, Zheng Liu:
Machine learning driven synthesis of few-layered WTe2. - Pierre Laforgue, Alex Lambert, Luc Motte, Florence d'Alché-Buc:
On the Dualization of Operator-Valued Kernel Machines. - Giovanni Di Fratta, Michael Innerberger, Dirk Praetorius:
Weak-strong uniqueness for the Landau-Lifshitz-Gilbert equation in micromagnetics. - Clayton Scott, Jianxin Zhang:
Learning from Multiple Corrupted Sources, with Application to Learning from Label Proportions. - Lihan Yao, Paul Bendich:
Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series. - Venus Pasandi, Aiko Dinale, Mehdi Keshmiri, Daniele Pucci:
A Data Driven Vector Field Oscillator with Arbitrary Limit Cycle Shape. - Andrea Moscatelli:
Modeling of negative protein-protein interactions: methods and experiments. - Gihan Jayatilaka, Harshana Weligampola, Suren Sritharan, Pankayraj Pathmanathan, Roshan G. Ragel, Isuru Nawinne:
Non-contact Infant Sleep Apnea Detection. - Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk:
The Implicit Regularization of Ordinary Least Squares Ensembles. - Yuwei Fan, Lexing Ying:
Solving Optical Tomography with Deep Learning. - Hengrui Luo, Justin D. Strait, Abhijoy Saha:
Combining Geometric and Topological Information in Image Segmentation. - Andrea Santoro, Vincenzo Nicosia:
Optimal percolation in correlated multilayer networks with overlap. - Arvin Rasoulzadeh, Georg Nawratil:
Variational Path Optimization of Linear Pentapods with a Simple Singularity Variety. - Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding:
ErrorNet: Learning error representations from limited data to improve vascular segmentation. - Fei Lu, Mauro Maggioni, Sui Tang:
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. - Kushal Datta, Imtiaz Hossain, Sun Choi, Vikram A. Saletore, Kyle Ambert, William J. Godinez, Xian Zhang:
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour. - Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer:
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images. - Haraldur Tómas Hallgrímsson, Richika Sharan, Scott T. Grafton, Ambuj K. Singh:
Estimating localized complexity of white-matter wiring with GANs. - Ruslan Shaydulin, Yuri Alexeev:
Evaluating Quantum Approximate Optimization Algorithm: A Case Study. - Okyaz Eminaga, Yuri Tolkach, Christian Kunder, Mahmoud Abbas, Ryan Han, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Sebastian Huss, Andreas M. Loening, Robert B. West, Geoffrey A. Sonn, Richard E. Fan, Olaf Bettendorf, James D. Brooks, Daniel L. Rubin:
Deep Learning for Prostate Pathology. - Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan:
Regret Analysis of Causal Bandit Problems. - Hoesang Choi, Hichan Moon:
Throughput of CDM-based Random Access With SINR Capture. - Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond:
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation. - Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler:
Estimating Solar Irradiance Using Sky Imagers. - Emre Baspinar, Alessandro Sarti, Giovanna Citti:
A sub-Riemannian model of the visual cortex with frequency and phase. - Janusz Szwabinski, Tomasz Weron:
Impact of independence on polarization of opinions. - Antonio Russo, Sergio P. Perez, Miguel A. Durán-Olivencia, Peter Yatsyshin, José A. Carrillo, Serafim Kalliadasis:
A Finite-Volume Method for Fluctuating Dynamical Density Functional Theory. - Peter Klimek, Michael Gyimesi, Herwig Ostermann, Stefan Thurner:
A parameter-free population-dynamical approach to health workforce supply forecasting of EU countries. - Kohei Yoshikawa, Shuichi Kawano:
Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization. - Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao:
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. - Mijung Park, Wittawat Jitkrittum:
ABCDP: Approximate Bayesian Computation Meets Differential Privacy. - Igor Colin, Ludovic Dos Santos, Kevin Scaman:
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning. - Zakaria Aldeneh, Mimansa Jaiswal, Michael Picheny, Melvin G. McInnis, Emily Mower Provost:
Identifying Mood Episodes Using Dialogue Features from Clinical Interviews. - Daniel Vert, Renaud Sirdey, Stéphane Louise:
Revisiting old combinatorial beasts in the quantum age: quantum annealing versus maximal matching. - Clément Aubert:
Categories for Me, and You? - Victor Coscrato, Marco Henrique de Almeida Inácio, Tiago Botari, Rafael Izbicki:
NLS: an accurate and yet easy-to-interpret regression method. - Artem V. Chashchin, Mikhail A. Botchev, Ivan V. Oseledets, Grigory V. Ovchinnikov:
Predicting dynamical system evolution with residual neural networks. - Konrad K. Dabrowski, Matthew Johnson, Giacomo Paesani, Daniël Paulusma, Viktor Zamaraev:
On the Price of Independence for Vertex Cover, Feedback Vertex Set and Odd Cycle Transversal. - Weiwen Wu, Peijun Chen, Vince Vardhanabhuti, Weifei Wu, Hengyong Yu:
Improved Material Decomposition with a Two-step Regularization for spectral CT. - Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos:
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms. - Klim Efremenko, Aryeh Kontorovich, Moshe Noivirt:
Fast and Bayes-consistent nearest neighbors. - Elena Kalinina, Fabian Pedregosa, Vittorio Iacovella, Emanuele Olivetti, Paolo Avesani:
A Test for Shared Patterns in Cross-modal Brain Activation Analysis. - Nikitas Rontsis, Paul J. Goulart:
Optimal Approximation of Doubly Stochastic Matrices. - Florent Foucaud, Shahrzad Heydarshahi, Aline Parreau:
Domination and location in twin-free digraphs. - Jack Goetz, Ambuj Tewari:
Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning. - Minh H. Vu, Tufve Nyholm, Tommy Löfstedt:
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks. - Shailesh Chaudhari, HyukJoon Kwon, Kee-Bong Song:
Reliable and Low-Complexity MIMO Detector Selection using Neural Network. - Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. - Fenghua Guo, Alexander Leemans, Max A. Viergever, Flavio Dell'Acqua, Alberto De Luca:
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data. - Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley:
Extreme Few-view CT Reconstruction using Deep Inference. - Ryan M. Watson, Jason N. Gross, Clark N. Taylor, Robert C. Leishman:
Robust Incremental State Estimation through Covariance Adaptation. - Leonardo De Laurentiis, Andrea Pomente, Fabio Del Frate, Giovanni Schiavon:
Capsule and convolutional neural network-based SAR ship classification in Sentinel-1 data. - Filippo Maria Bianchi, Jakob Grahn, Markus Eckerstorfer, Eirik Malnes, Hannah Vickers:
Snow avalanche segmentation in SAR images with Fully Convolutional Neural Networks. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Roweis Discriminant Analysis: A Generalized Subspace Learning Method. - Adam Blumenthal:
Independent Dominating Sets in Directed Graphs. - Chao Qian, Hang Xiong:
Bayesian Optimization using Pseudo-Points. - Tuan Pham:
A global regularity criterion for the Navier-Stokes equations based on approximate solutions. - Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg:
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers. - Liviu I. Ignat:
On the numerical approximations of the periodic Schrödinger equation. - Ian Gallagher, Anna Bertiger, Carey E. Priebe, Patrick Rubin-Delanchy:
Spectral clustering in the weighted stochastic block model. - Esen Aksoy Yazici:
Hamming Distances in Vector Spaces over Finite Fields. - Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic:
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. - Youhi Morii, Eiji Shima:
Optimization of One-parameter Family of Integration Formulae for Solving Stiff Chemical-kinetic ODEs. - Rafael Izbicki, Gilson Y. Shimizu, Rafael Bassi Stern:
Distribution-free conditional predictive bands using density estimators. - Shanglong Zhang, Arun L. Gain, Julian A. Norato:
Adaptive Mesh Refinement for Topology Optimization with Discrete Geometric Components. - Carolina Mattsson:
Networks of monetary flow at native resolution. - Karim Armanious, Aastha Tanwar, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang:
Unsupervised Adversarial Correction of Rigid MR Motion Artifacts. - Tomohiro Maeda, Guy Satat, Tristan Swedish, Lagnojita Sinha, Ramesh Raskar:
Recent Advances in Imaging Around Corners. - Laura Niss, Ambuj Tewari:
What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination. - Daniel Jung:
Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals. - Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada:
Generalized Nullspace Property for Structurally Sparse Signals. - Hitesh Gakhar, Jose A. Perea:
Künneth Formulae in Persistent Homology. - Hugo A. Akitaya, Vida Dujmovic, David Eppstein, Thomas C. Hull, Kshitij Jain, Anna Lubiw:
Face flips in origami tessellations. - Dong Eui Chang, Karmvir Singh Phogat, Jongeun Choi:
Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding into Euclidean Spaces. - Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli:
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images. - Carlos M. Paniagua Mejia:
An Image Segmentation Model Based on a Variational Formulation. - Ricardo Grande:
Continuum limit for discrete NLS with memory effect. - Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis based on Probabilistic Segmentations. - Tian Chen, Lingge Li, Gabriel Elias, Norbert Fortin, Babak Shahbaba:
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method. - Qiang Du, Ruotai Li, Lei Zhang:
Variational Phase Field Formulations of Polarization and Phase Transition in Ferroelectric Thin Films. - Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. - Gorjan Alagic, Christian Majenz, Alexander Russell:
Efficient simulation of random states and random unitaries. - Mehran Sadeghi Lahijani, Tasvirul Islam, Ashok Srinivasan, Sirish Namilae:
Constrained Linear Movement Model (CALM): Simulation of passenger movement in airplanes. - Bo Li, David Saad:
Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks. - Samuel Melton, Sharad Ramanathan:
Unsupervised Discovery of Sparse Multimodal Representations in High Dimensional Data. - Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour:
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. - Rui Meng, Herbert K. H. Lee, Braden Soper, Priyadip Ray:
Regularized Sparse Gaussian Processes. - Haoran Sun, Songtao Lu, Mingyi Hong:
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach. - Wei Xie, Yuan Yi, Hua Zheng:
Global-Local Metamodel Assisted Two-Stage Optimization via Simulation. - Hao Peng, Azadeh Nematzadeh, Daniel M. Romero, Emilio Ferrara:
Network Modularity Controls the Speed of Information Diffusion. - James McCouat, Ben Glocker:
Vertebrae Detection and Localization in CT with Two-Stage CNNs and Dense Annotations. - Quentin Mérigot, Alex Delalande, Frédéric Chazal:
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. - Masahito Hayashi, Takeshi Koshiba:
Verifiable Quantum Secure Modulo Summation. - Liang Chen, Hakan Bagci:
Steady-state Simulation of Semiconductor Devices using Discontinuous Galerkin Methods. - Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Pathological spectra of the Fisher information metric and its variants in deep neural networks. - Kaito Ariu, Jungseul Ok, Alexandre Proutière, Se-Young Yun:
Optimal Clustering from Noisy Binary Feedback. - Tomasz M. Tyranowski, Michael Kraus:
Symplectic model reduction methods for the Vlasov equation. - Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan:
Robust Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. - Hao Zhou, Jorge A. Laval:
Longitudinal Motion Planning for Autonomous Vehicles and Its Impact on Congestion: A Survey. - Chang-Le Liu, Kuang-Tsu Shih, Homer H. Chen:
Light Field Synthesis by Training Deep Network in the Refocused Image Domain. - Samy Lakhal, Alexandre Darmon, Jean-Philippe Bouchaud, Michael Benzaquen:
Beauty and structural complexity. - Myounggyu Won:
UBAT: On Jointly Optimizing UAV Trajectories and Placement of Battery Swap Stations. - Marko Järvenpää, Aki Vehtari, Pekka Marttinen:
Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation. - Dileep Kumar, Jarkko Kaleva, Antti Tölli:
Reliable mmWave Communication via Coordinated Multi-Point Connectivity. - Mariana Teixeira, Nayara Pinto Basílio, Davidson Lafitte Firmo, Erivelton G. Nepomuceno, Janier Arias-Garcia:
Simplification of the digital representation of the tent map through biased fixed point. - Andreas Blass, Yuri Gurevich:
Circuit pedantry. - Yujia Ding, Weiqing Gu:
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification. - Fuyuan Xiao:
A generalized intelligent quality-based approach for fusing multi-source information. - Augustin Prado, Ravinath Kausik, Lalitha Venkataramanan:
Dual Neural Network Architecture for Determining Epistemic and Aleatoric Uncertainties. - Lisha Yao, Sui Li, Manman Zhu, Dong Zeng, Zhaoying Bian, Jianhua Ma:
Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network. - Adnan Akhundov, Maximilian Soelch, Justin Bayer, Patrick van der Smagt:
Variational Tracking and Prediction with Generative Disentangled State-Space Models. - Noé Tits, Kevin El Haddad, Thierry Dutoit:
The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach. - Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert:
Two-sample Testing Using Deep Learning. - Adam D. Cobb, Atilim Günes Baydin, Andrew Markham, Stephen J. Roberts:
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo. - Emil Saucan, Areejit Samal, Jürgen Jost:
A Simple Differential Geometry for Networks and its Generalizations. - Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang:
Organ-based Age Estimation based on 3D MRI Scans. - Erfan Noury, Suria S. Mannil, Robert T. Chang, An-ran Ran, Carol Y. Cheung, Suman S. Thapa, Harsha L. Rao, Srilakshmi Dasari, Mohammed Riyazuddin, Sriharsha Nagaraj, Reza Zadeh:
Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans. - Aritra Sasmal, Nathan Geib, Karl Grosh:
Broadband nonreciprocal linear acoustics through nonlocal active media. - Christopher Frye, Ilya Feige, Colin Rowat:
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability. - Lijun Sun, Xinyu Chen:
Bayesian Temporal Factorization for Multidimensional Time Series Prediction. - Ines Sorrentino, Francisco Javier Andrade Chavez, Claudia Latella, Luca Fiorio, Silvio Traversaro, Lorenzo Rapetti, Yeshasvi Tirupachuri, Marco Maggiali, Simeone Dussoni, Giorgio Metta, Daniele Pucci:
A Novel Sensorized Skin Insole for Sensing Feet Pressure Distributions. - Yi Luo, Zhuo Chen, Takuya Yoshioka:
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation. - Muhammad Usman, Jeong-A Lee:
AFP-CKSAAP: Prediction of Antifreeze Proteins Using Composition of k-Spaced Amino Acid Pairs with Deep Neural Network. - Henrique Ferraz de Arruda, Alexandre Benatti, Filipi Nascimento Silva, Cesar Henrique Comin, Luciano da Fontoura Costa:
Contrarian effects and echo chamber formation in opinion dynamics. - Xuankai Chang, Wangyou Zhang, Yanmin Qian, Jonathan Le Roux, Shinji Watanabe:
MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition. - Atsufumi Honda, Kosuke Naokawa, Kentaro Saji, Masaaki Umehara, Kotaro Yamada:
Curved foldings with common creases and crease patterns. - Yiwen Song, Ningning Sun, Huimiao Chen:
Demand Adaptive Multi-Objective Electric Taxi Fleet Dispatching with Carbon Emission Analysis. - Theodore Papamarkou, Jacob D. Hinkle, M. Todd Young, David E. Womble:
Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks. - S. G. Babajanyan, Kang Hao Cheong, Armen E. Allahverdyan:
Bargaining with entropy and energy. - Akiyoshi Sannai, Masaaki Imaizumi:
Improved Generalization Bound of Permutation Invariant Deep Neural Networks. - André Ferrari, Cédric Richard, Louis Verduci:
Distributed Change Detection in Streaming Graph Signals. - Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl:
Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution. - Eugene Ogosi, Umair Bin Asim, Amir Siddiq, Mehmet Kartal:
Hydrogen Effect on Plastic Deformation and Fracture in Austenitic Stainless Steel. - Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim:
Liver segmentation and metastases detection in MR images using convolutional neural networks. - Andrés M. Alonso, Francisco Javier Nogales, Carlos Ruiz:
A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads. - Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brébisson, Yoshua Bengio, Aaron C. Courville:
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis. - Håvard Kvamme, Ørnulf Borgan:
Continuous and Discrete-Time Survival Prediction with Neural Networks. - Gang Xu, Zhengzi Zhou, Limin Jiao, Ting Dong, Ruiqi Li:
Cross-sectional Urban Scaling Fails in Predicting Temporal Growth of Cities. - Takehiko Mori, Manabu Hagiwara:
Perfect Multi Deletion Codes Achieve the Asymptotic Optimality of Code Size. - Yundong Zhang, Hang Wu, Huiye Liu, Li Tong, May D. Wang:
Mitigating the Effect of Dataset Bias on Training Deep Models for Chest X-rays. - Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang:
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising. - Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee:
T-GSA: Transformer with Gaussian-weighted self-attention for speech enhancement. - Jonathan G. Richens, Ciarán M. Lee, Saurabh Johri:
Counterfactual diagnosis. - Akinori Tanaka:
Discriminator optimal transport. - Guy Holtzman, Adam Soffer, Dan Vilenchik:
A greedy anytime algorithm for sparse PCA. - Maxim Vaysburd:
Identifying Epigenetic Signature of Breast Cancer with Machine Learning. - Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing:
Learning Sample-Specific Models with Low-Rank Personalized Regression. - Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan:
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. - Shiqi Yu:
Electron Neutrino Energy Reconstruction in NOvA Using CNN Particle IDs. - Laura Mancinska, David E. Roberson:
Quantum isomorphism is equivalent to equality of homomorphism counts from planar graphs. - Xubo Yue, Raed Kontar:
The Rényi Gaussian Process. - Valerio Perrone, Iaroslav Shcherbatyi, Rodolphe Jenatton, Cédric Archambeau, Matthias W. Seeger:
Constrained Bayesian Optimization with Max-Value Entropy Search. - Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis:
Dynamically Aggregating Diverse Information. - Annie Liang:
Games of Incomplete Information Played By Statisticians. - Drew Fudenberg, Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan:
Measuring the Completeness of Theories. - Salar Jafarlou, Soheil Khorram, Vinay Kothapally, John H. L. Hansen:
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition. - Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasawanala:
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training. - Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah:
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize. - Siheng Chen, Gary P. T. Choi, L. Mahadevan:
Topological and statistical control of kirigami. - Hui Xue, Ethan Tseng, Kristopher D. Knott, Tushar Kotecha, Louise Brown, Sven Plein, Marianna Fontana, James C. Moon, Peter Kellman:
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15, 000 Patients. - Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner:
Sparse Gaussian Process Regression Beyond Variational Inference. - Yizheng Tang, Ganggang Ma, Hailiang Xie, Jie Xu, Xiao Han:
Joint Transmit and Reflective Beamforming Design for IRS-Assisted Multiuser MISO SWIPT Systems. - Chirag Modi, Uros Seljak:
Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics. - Emiru Tsunoo, Yosuke Kashiwagi, Toshiyuki Kumakura, Shinji Watanabe:
Transformer ASR with Contextual Block Processing. - Damir Filipovic, Kathrin Glau, Yuji Nakatsukasa, Francesco Statti:
Weighted Monte Carlo with least squares and randomized extended Kaczmarz for option pricing. - Fabrizio Savarino, Christoph Schnörr:
Continuous-Domain Assignment Flows. - Philip G. Breen, Christopher N. Foley, Tjarda Boekholt, Simon Portegies Zwart:
Newton vs the machine: solving the chaotic three-body problem using deep neural networks. - Yuta Saito:
Unsupervised Domain Adaptation Meets Offline Recommender Learning. - Yixin Wang, David M. Blei:
The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019). - Xijia Liu, Hiba Nassar, Krzysztof Podgórski:
Splinets - efficient orthonormalization of the B-splines. - Matteo Giordano, Richard Nickl:
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem. - Arne Ilseng, Victorien Prot, Bjørn T. Stokke, Bjørn H. Skallerud:
Buckling initiation in layered hydrogels during transient swelling. - Mingchen Zhang, Xiaojun Yuan, Zhen-Qing He:
Variance State Propagation for Structured Sparse Bayesian Learning. - Harbir Antil, Carlos Lizama, Rodrigo Ponce, Mahamadi Warma:
Convergence of solutions of discrete semi-linear space-time fractional evolution equations. - Min Fu, Yong Zhou, Yuanming Shi:
Reconfigurable Intelligent Surface Empowered Downlink Non-Orthogonal Multiple Access. - Jun Shi, Zhibo Chen:
Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics. - Tai-Danae Bradley, E. Miles Stoudenmire, John Terilla:
Modeling Sequences with Quantum States: A Look Under the Hood. - Thomas C. Booth, Matthew Williams, Aysha Luis, Manuel Jorge Cardoso, Ashkan Keyoumars, Haris Shuaib:
Machine learning and glioma imaging biomarkers. - Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci:
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology. - Stanislav Minsker, Timothée Mathieu:
Excess risk bounds in robust empirical risk minimization. - Sergey Mileiko, Thanasin Bunnam, Fei Xia, Rishad A. Shafik, Alex Yakovlev, Shidhartha Das:
Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding. - Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang:
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. - Xiaodong Liu, Yuhao Wang, Fuhui Zhou, Zhenyu Deng, Rose Qingyang Hu:
Performance Analysis on Visible Light Communications With Multi-Eavesdroppers and Practical Amplitude Constraint. - Ondrej Benedikt, Baran Alikoc, Premysl Sucha, Sergej Celikovský, Zdenek Hanzálek:
A scheduling and control approach for an industrial furnace to minimize idle energy consumption. - Minh H. Vu, Guus Grimbergen, Attila Simkó, Tufve Nyholm, Tommy Löfstedt:
End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation. - Steffen Borgwardt, Stephan Patterson:
On the Computational Complexity of Finding a Sparse Wasserstein Barycenter. - Wei W. Xing, Robert M. Kirby, Shandian Zhe:
Deep Coregionalization for the Emulation of Spatial-Temporal Fields. - Arindam Bose, Shahin Khobahi, Mojtaba Soltanalian:
Joint Optimization of Waveform Covariance Matrix and Antenna Selection for MIMO Radar. - Samir Chowdhury, Thomas Gebhart, Steve Huntsman, Matvey Yutin:
Path homologies of deep feedforward networks. - Tony Hey, Keith Butler, Sam Jackson, Jeyarajan Thiyagalingam:
Machine Learning and Big Scientific Data. - Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang:
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. - Aniruddha Prithul, Nasif Zaman, Alireza Tavakkoli, Stewart Zuckerbrod:
A Parametric Perceptual Deficit Modeling and Diagnostics Framework for Retina Damage using Mixed Reality. - Xin Guo, Fengmin Tang, Wenpin Tang:
Consistency of the Buckley-Osthus model and the hierarchical preferential attachment model. - Robert Schmid:
Nonovershooting output regulation for feedback linearisable MIMO systems. - Hendrik Pieter Barendregt, Sebastiaan A. Terwijn:
Partial combinatory algebra and generalized numberings. - Zengyi Li, Yubei Chen, Friedrich T. Sommer:
Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces. - Ryan-Rhys Griffiths, Miguel Garcia-Ortegon, Alexander A. Aldrick, Alpha A. Lee:
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation. - Kuan-Lun Tseng, Winston H. Hsu, Chun-Ting Wu, Ya-Fang Shih, Fan-Yun Sun:
Organ At Risk Segmentation with Multiple Modality. - Jacky H. T. Yip, Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Gabriella Contardo, Francisco Villaescusa-Navarro, Siyu He, Shy Genel, Shirley Ho:
From Dark Matter to Galaxies with Convolutional Neural Networks. - Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. - Balanand Jha, David Fernández-Baca, Akshay Deepak, Kumar Abhishek:
EvoZip: Efficient Compression of Large Collections of Evolutionary Trees. - Nicolas Pielawski, Carolina Wählby:
Introducing Hann windows for reducing edge-effects in patch-based image segmentation. - Yijie Mao, Bruno Clerckx, Jian Zhang, Victor O. K. Li, Mohammed Amer Arafah:
Max-min Fairness of K-user Cooperative Rate-Splitting in MISO Broadcast Channel with User Relaying. - Salvatore Cielo, Luigi Iapichino, Johannes Günther, Christoph Federrath, Elisabeth Mayer, Markus Wiedemann:
Visualizing the world's largest turbulence simulation. - Salvatore Cielo, Luigi Iapichino, Fabio Baruffa:
Speeding simulation analysis up with yt and Intel Distribution for Python. - Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush R. Varshney:
An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy. - Mahboobeh Houshmand, Zahra Mohammadi, Mariam Zomorodi Moghadam, Monireh Houshmand:
An Evolutionary Approach to Optimizing Communication Cost in Distributed Quantum Computation. - Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma:
A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation. - Pawan Negi, Prabhu Ramachandran:
An improved particle packing algorithm for complex geometries in SPH. - Ibrahim Özkan:
Analysis of Cooperative Hybrid ARQ with Adaptive Modulation and Coding on a Correlated Fading Channel. - Thu Nguyen:
Dropping forward-backward algorithms for feature selection. - Laurence Aitchison:
Why bigger is not always better: on finite and infinite neural networks. - Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang:
A Unified Framework for Tuning Hyperparameters in Clustering Problems. - George Kesidis, David J. Miller:
Notes on Lipschitz Margin, Lipschitz Margin Training, and Lipschitz Margin p-Values for Deep Neural Network Classifiers. - Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang:
Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning. - Sebastian Wagner-Carena, Max Hopkins, Ana Diaz Rivero, Cora Dvorkin:
A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis. - Ilia Nouretdinov, James Gammerman, Matteo Fontana, Daljit Rehal:
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection. - Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden:
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications. - Christian Bean, Bjarki Agust Gudmundsson, Tómas Ken Magnússon, Henning Úlfarsson:
Algorithmic coincidence classification of mesh patterns. - Shaokai Lin, Zichuan Wang, Lior Horesh:
Communication over Continuous Quantum Secure Dialogue using Einstein-Podolsky-Rosen States. - Thomas Booth:
An Update on Machine Learning in Neuro-oncology Diagnostics. - Hlér Kristjánsson, Sina Salek, Daniel Ebler, Giulio Chiribella:
Resource theories of communication with quantum superpositions of processes. - Jie Zhang, Yuping Duan, Yue Lu, Michael K. Ng, Huibin Chang:
Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal. - Zhiyan Ding, Yiding Chen, Qin Li, Xiaojin Zhu:
Error Lower Bounds of Constant Step-size Stochastic Gradient Descent. - Amir Behrouzi-Far, Saeideh Mohammadkhani:
Cooperative Beamforming in Cognitive Radio Relay Networks Using Amplify-and-Forward Relaying Technique. - Kory Becker:
Flying Unicorn: Developing a Game for a Quantum Computer. - Christopher Bresten, Jae-Hun Jung:
Detection of gravitational waves using topological data analysis and convolutional neural network: An improved approach. - Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori:
Robust modal regression with direct log-density derivative estimation. - Tiankui Zhang, Yu Xu, Jonathan Loo, Dingcheng Yang, Lin Xiao:
Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT. - Bin Zhang, Shenyao Jin, Yili Xia, Yongming Huang, Zixiang Xiong:
Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images. - Florian Lemarchand, Eduardo Fernandes Montesuma, Maxime Pelcat, Erwan Nogues:
OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers. - Chaima Boufaied, Maris Jukss, Domenico Bianculli, Lionel Claude Briand, Yago Isasi Parache:
Signal-Based Properties: Taxonomy and Logic-based Characterization. - Peng Liu, Ruogu Fang:
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion. - Z. Ma, L. Song, X. Feng, G. Yang, W. Zhu, J. Liu, Y. Zhang, X. Yang, Y. Yin:
Detecting intracranial aneurysm rupture from 3D surfaces using a novel GraphNet approach. - Charles Roberto Telles:
Work sharing as a metric and productivity indicator for administrative workflows. - Aleksei Triastcyn, Boi Faltings:
Federated Generative Privacy. - Tristan Gally, Peter Groche, Florian Hoppe, Anja Kuttich, Alexander Matei, Marc E. Pfetsch, Martin Rakowitsch, Stefan Ulbrich:
Identification of Model Uncertainty via Optimal Design of Experiments applied to a Mechanical Press. - Sergey Mileiko, Rishad A. Shafik, Alex Yakovlev, Jonathan Edwards:
A Pulse Width Modulation based Power-elastic and Robust Mixed-signal Perceptron Design. - Cagdas Bilen, Giacomo Ferroni, Francesco Tuveri, Juan Azcarreta, Sacha Krstulovic:
A Framework for the Robust Evaluation of Sound Event Detection. - Rodrigo Aldana-López, David Gómez-Gutiérrez, Esteban Jiménez-Rodríguez, Juan Diego Sánchez-Torres, Alexander G. Loukianov:
On predefined-time consensus protocols for dynamic networks. - Dimitris Bertsimas, Agni Orfanoudaki, Rory B. Weiner:
Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach. - Mariia Dmitrieva, Keith E. Brown, Gary J. Heald, David M. Lane:
Classification of spherical objects based on the form function of acoustic echoes. - Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis:
Detecting multiple change-points in the time-varying Ising model. - Amir Shakouri, Nima Assadian:
Fixed-time disturbance suppression control for Euler-Lagrange systems: A time-varying approach. - Jean-Paul Allouche, Jeffrey O. Shallit:
Automatic sequences are also non-uniformly morphic. - Gautier Cosne, Guillaume Maze, Pierre Tandeo:
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics. - Vien V. Mai, Mikael Johansson:
Anderson Acceleration of Proximal Gradient Methods. - Dwarikanath Mahapatra:
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration. - Matteo Sordello, Weijie Su:
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic. - Benjamin Nachman, Chase Shimmin:
AI Safety for High Energy Physics. - Ali Girayhan Özbay, Sylvain Laizet, Panagiotis Tzirakis, Georgios Rizos, Björn W. Schuller:
Poisson CNN: Convolutional Neural Networks for the Solution of the Poisson Equation with Varying Meshes and Dirichlet Boundary Conditions. - Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Al-Ani, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani:
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model. - Fatima Batool, Christian Hennig:
Clustering by Optimizing the Average Silhouette Width. - Shi Chenfei, Yan Xue, Chuan Jiang, Hui Tian, Bei Liu:
Gastroscopic Panoramic View: Application to Automatic Polyps Detection under Gastroscopy. - Jee Won Kim, Kinam Kwon, Byungjai Kim, HyunWook Park:
Attention Guided Metal Artifact Correction in MRI using Deep Neural Networks. - Songxiang Liu, Haibin Wu, Hung-yi Lee, Helen Meng:
Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification. - Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli, Efstratios Gavves:
Tracking-Assisted Segmentation of Biological Cells. - Jan P. Klopp, Liang-Gee Chen, Shao-Yi Chien:
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding. - Sergey S. Ketkov, Oleg A. Prokopyev, Evgenii P. Burashnikov:
An approach to the distributionally robust shortest path problem. - Yuan Tian:
Convex Reconstruction of Structured Matrix Signals from Random Linear Measurements (I): Theoretical Results. - Alex Markham, Moritz Grosse-Wentrup:
Measurement Dependence Inducing Latent Causal Models. - Megh Shukla, Biplab Banerjee, Krishna Mohan Buddhiraju:
LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery. - Ekhine Irurozki, Jesus L. Lobo, Aritz Pérez, Javier Del Ser:
Online Ranking with Concept Drifts in Streaming Data. - Leonardo Nagami Coregliano, Alexander A. Razborov:
Semantic Limits of Dense Combinatorial Objects. - Changpeng Shao:
A simple approach to design quantum neural networks and its applications to kernel-learning methods. - Etor Arza, Aritz Pérez, Ekhine Irurozki, Josu Ceberio:
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. - Yuan Chen, Soummya Kar, José M. F. Moura:
Resilient Distributed Recovery of Large Fields. - Mehdi Rahmati, Dario Pompili:
UW-SVC: Scalable Video Coding Transmission for In-network Underwater Imagery Analysis. - Li-Heng Chen, Christos G. Bampis, Zhi Li, Andrey Norkin, Alan C. Bovik:
ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression. - Peng Liu, Xiaoxiao Zhou, Junyiyang Li, Mohammad D. El Basha, Ruogu Fang:
KRNET: Image Denoising with Kernel Regulation Network. - Konstantin Avrachenkov, Laura Cottatellucci, Mounia Hamidouche:
Eigenvalues and Spectral Dimension of Random Geometric Graphs in Thermodynamic Regime. - Mounia Hamidouche, Laura Cottatellucci, Konstantin Avrachenkov:
Spectral Analysis of the Adjacency Matrix of Random Geometric Graphs. - Mounia Hamidouche, Laura Cottatellucci, Konstantin Avrachenkov:
Spectral bounds of the regularized normalized Laplacian for random geometric graphs. - Jianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao, Jie Ding, Vahid Tarokh:
Speech Emotion Recognition with Dual-Sequence LSTM Architecture. - Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li:
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis. - Antoine Dedieu:
Sparse (group) learning with Lipschitz loss functions: a unified analysis. - Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein:
The Exact Equivalence of Independence Testing and Two-Sample Testing. - Ian Holloway, Sivaguru S. Sritharan:
Numerical Solution of Compressible Euler and Magnetohydrodynamic flow past an infinite cone. - Wenjie Zheng:
hv-Block Cross Validation is not a BIBD: a Note on the Paper by Jeff Racine (2000). - S. G. Babajanyan, Alexey V. Melkikh, Armen E. Allahverdyan:
Leadership scenarios in prisoner's dilemma game. - Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling:
i-RIM applied to the fastMRI challenge. - Johannes Hörner, Nicolas Klein, Sven Rady:
Overcoming Free-Riding in Bandit Games. - Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze:
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in MR images. - Aleksandar Vakanski, Min Xian, Phoebe Freer:
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images. - Xinzi He, Baiying Lei, Tianfu Wang:
SANet: Superpixel Attention Network for Skin Lesion Attributes Detection. - Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler:
Ordering-Based Causal Structure Learning in the Presence of Latent Variables. - Mohammed Alser, Taha Shahroodi, Juan Gómez-Luna, Can Alkan, Onur Mutlu:
SneakySnake: A Fast and Accurate Universal Genome Pre-Alignment Filter for CPUs, GPUs, and FPGAs. - Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab:
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions. - Micha Feigin, Manuel Zwecker, Daniel Freedman, Brian W. Anthony:
Detecting muscle activation using ultrasound speed of sound inversion with deep learning. - Kshitij Mall, Ehsan Taheri:
Optimal Control of Wave Energy Converters Using Epsilon-Trig Regularization Method. - Elham Foruzan, Sajjad Abedi, Jeremy Lin, Sohrab Asgarpoor, Emanuel Bernabeu:
An Online Deep Learning Approach Toward the Prediction of Power System Stresses Using Voltage Phasors. - Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes. - Aram W. Harrow, Saeed Mehraban, Mehdi Soleimanifar:
Classical algorithms, correlation decay, and complex zeros of partition functions of quantum many-body systems. - Minghe Zhang, Liyan Xie, Yao Xie:
Online Community Detection by Spectral CUSUM. - Xiaoli Chen, Jinqiao Duan, George Em Karniadakis:
Learning and Meta-Learning of Stochastic Advection-Diffusion-Reaction Systems from Sparse Measurements. - Okyaz Eminaga, Mahmoud Abbas, Yuri Tolkach, Rosalie Nolley, Christian Kunder, Axel Semjonow, Martin Boegemann, Andreas M. Loening, James D. Brooks, Daniel L. Rubin:
Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning. - Jintao Ke, Xiaoran Qin, Hai Yang, Zhengfei Zheng, Zheng Zhu, Jieping Ye:
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network. - Yoann Boget:
Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment. - Ehsan Taheri, John L. Junkins, Ilya V. Kolmanovsky, Anouck Girard:
A Novel Approach for Optimal Trajectory Design with Multiple Operation Modes of Propulsion System, Part 1. - Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. - Xiang Li, Wenhao Yang, Shusen Wang, Zhihua Zhang:
Communication Efficient Decentralized Training with Multiple Local Updates. - Yijia Wang, Matthias Poloczek, Daniel R. Jiang:
Exploration via Sample-Efficient Subgoal Design. - Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock:
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. - Shixiang Zhu, Henry Shaowu Yuchi, Yao Xie:
Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. - Nikita V. Kitov, Mikhail V. Volkov:
Identities of the Kauffman Monoid K4 and of the Jones monoid J4. - He Tang, Xiaobing Pei, Shilong Huang, Xin Li, Chao Liu:
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net. - Zhikang Wang, Yuto Ashida, Masahito Ueda:
Deep Reinforcement Learning Control of Quantum Cartpoles. - Rianne de Heide, Alisa Kirichenko, Nishant A. Mehta, Peter Grünwald:
Safe-Bayesian Generalized Linear Regression. - Ulrich Bauer, Abhishek Rathod, Jonathan Spreer:
Parametrized Complexity of Expansion Height. - Karim Armanious, Vijeth Kumar, Sherif Abdulatif, Tobias Hepp, Sergios Gatidis, Bin Yang:
ipA-MedGAN: Inpainting of Arbitrarily Regions in Medical Modalities. - Tobias Alt, Joachim Weickert:
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. - Christina Frederick, Kasso A. Okoudjou:
Finding duality and Riesz bases of exponentials on multi-tiles. - Sebastiaan A. Terwijn:
Computability in partial combinatory algebras. - Michael Pearce, Matthias Poloczek, Jürgen Branke:
Bayesian Optimization Allowing for Common Random Numbers. - Markus Gusenbauer, Harald Oezelt, Johann Fischbacher, Alexander Kovacs, Panpan Zhao, Thomas George Woodcock, Thomas Schrefl:
Extracting local switching fields in permanent magnets using machine learning. - Ezra Tampubolon, Holger Boche:
Robust Online Learning for Resource Allocation - Beyond Euclidean Projection and Dynamic Fit. - Andreas Barthelme, Reinhard Wiesmayr, Wolfgang Utschick:
Model Order Selection in DoA Scenarios via Cross-Entropy based Machine Learning Techniques. - Juan-Pablo Afman, Eric Feron, Mitchell Walker:
A full scale atmospheric flight experimental research environment for the Mars helicopter. - Dominik Müller, Frank Kramer:
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning. - Ehsan Taheri, John L. Junkins, Ilya V. Kolmanovsky, Anouck Girard:
A Novel Approach for Optimal Trajectory Design with Multiple Operation Modes of Propulsion System, Part 2. - Narayanan Rengaswamy, A. Robert Calderbank, Michael Newman, Henry D. Pfister:
On Optimality of CSS Codes for Transversal T. - Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth:
Variational Integrator Networks for Physically Meaningful Embeddings. - Pol del Aguila Pla, Lissy Pellaco, Satyam Dwivedi, Peter Händel, Joakim Jaldén:
Clock synchronization over networks using sawtooth models. - Mehmet Süzen, Alper Yegenoglu:
Generalised learning of time-series: Ornstein-Uhlenbeck processes. - Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Shady S. Refaat, Fakhreddine S. Oueslati:
PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method. - Jingwen Yan, Zixin Xie, Jingyao Chen, Yinan Liu, Lei Liu:
Hyperspectral Image Classification Based on Adaptive Sparse Deep Network. - Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot:
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation. - Lei Yu, Vincent Y. F. Tan:
An Improved Linear Programming Bound on the Average Distance of a Binary Code. - Yan Li, Xin Zhang:
The structure and the list 3-dynamic coloring of outer-1-planar graphs. - Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic:
Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning. - Kshitij Mall, Ehsan Taheri:
Entry Trajectory Optimization for Mars Science Laboratory Class Missions Using Indirect Unified Trigonometrization Method. - A. V. Vedenin, V. D. Galkin, E. Yu. Karatetskaya, Ivan D. Remizov:
Speed of convergence of Chernoff approximations to solutions of evolution equations. - Wolfgang Frühwirt, Paul Duckworth:
Towards better healthcare: What could and should be automated? - Hanbaek Lyu, Facundo Mémoli, David Sivakoff:
Sampling random graph homomorphisms and applications to network data analysis. - Mengfan Zhang, Zhongshu Ge, Tiejun Liu, Xihong Wu, Tianshu Qu:
Modeling of Individual HRTFs based on Spatial Principal Component Analysis. - Tomás Werner, Daniel Prusa:
Relative Interior Rule in Block-Coordinate Minimization. - Kaiqing Zhang, Bin Hu, Tamer Basar:
Policy Optimization for H2 Linear Control with H∞ Robustness Guarantee: Implicit Regularization and Global Convergence. - Zhuoyan Xu, Jiaxin Hu, Miaoyan Wang:
Generalized tensor regression with covariates on multiple modes. - Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré:
Multi-Resolution Weak Supervision for Sequential Data. - Hamid Behjat, Martin Larsson:
Spectral Characterization of functional MRI data on voxel-resolution cortical graphs. - Tito Spadini, Ricardo Suyama:
Comparative Study between Adversarial Networks and Classical Techniques for Speech Enhancement. - Yura Malitsky, Konstantin Mishchenko:
Adaptive gradient descent without descent. - Daniel Muller, Tshilidzi Marwala:
Relative Net Utility and the Saint Petersburg Paradox. - Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio, Joseph Paul Cohen:
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery. - Brian Swenson, Anirudh Sridhar, H. Vincent Poor:
On Distributed Stochastic Gradient Algorithms for Global Optimization. - Farid Kenarangi, Inna Partin-Vaisband:
A Single-MOSFET MAC for Confidence and Resolution (CORE) Driven Machine Learning Classification. - Mohammad Hashir, Paul Bertin, Martin Weiss, Vincent Frappier, Theodore Perkins, Geneviève Boucher, Joseph Paul Cohen:
Is graph biased feature selection of genes better than random? - Tara Abrishami, Nestor Guillen, Parker Rule, Zachary Schutzman, Justin Solomon, Thomas Weighill, Si Wu:
Geometry of Graph Partitions via Optimal Transport. - Cristobal Rojas, Michael Yampolsky:
How to lose at Monte Carlo: a simple dynamical system whose typical statistical behavior is non computable. - Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli:
Learning to Communicate in a Noisy Environment. - Reza Sohrabi, Qiping Zhu, Yingbo Hua:
Secrecy Analyses of a Full-Duplex MIMOME Network. - Michael Arbel, Arthur Gretton, Wuchen Li, Guido Montúfar:
Kernelized Wasserstein Natural Gradient. - Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang:
Faster Stochastic Algorithms via History-Gradient Aided Batch Size Adaptation. - Zhenglin Geng, Dan Johnson, Ronald Fedkiw:
Coercing Machine Learning to Output Physically Accurate Results. - Cian Naik, François Caron, Judith Rousseau:
Sparse Networks with Core-Periphery Structure. - Yehuda Afek, Eli Gafni, Nati Linial:
A King in every two consecutive tournaments. - Arthur G. Rattew, Shaohan Hu, Marco Pistoia, Chun-Fu (Richard) Chen, Steve Wood:
A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space. - Boxin Zhao, Y. Samuel Wang, Mladen Kolar:
Direct Estimation of Differential Functional Graphical Models. - Qiujia Li, Florian L. Kreyssig, Chao Zhang, Philip C. Woodland:
Discriminative Neural Clustering for Speaker Diarisation. - David Heckerman, Christopher Meek:
Embedded Bayesian Network Classifiers. - Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
Penalizing small errors using an Adaptive Logarithmic Loss. - Ali Madani, Cyna Shirazinejad, Jia Rui Ong, Hengameh Shams, Mohammad R. K. Mofrad:
ProDyn0: Inferring calponin homology domain stretching behavior using graph neural networks. - Yongfei Zhang, Chao Zhang, Rui Fan, Siwei Ma, Zhibo Chen, C.-C. Jay Kuo:
Recent Advances on HEVC Inter-frame Coding: From Optimization to Implementation and Beyond. - Yalong Liu, Jie Li, Miaomiao Wang, Zhicheng Jiao, Jian Yang, Xianjun Li:
Trident Segmentation CNN: A Spatiotemporal Transformation CNN for Punctate White Matter Lesions Segmentation in Preterm Neonates. - Juntao Guan, Rui Lai, Ai Xiong, Zesheng Liu, Lin Gu:
Fixed Pattern Noise Reduction for Infrared Images Based on Cascade Residual Attention CNN. - Shugo Miyamoto, Makoto Yamashita:
Sparsity Exploitation of Accelerated Modulus-Based Gauss-Seidel Method for Interactive Rigid Body Simulations. - Jiwei Liu, Junyu Liu, Yang Liu, Rui Yang, Dongjun Lv, Zhengting Cai, Jingjing Cui:
A Locating Model for Pulmonary Tuberculosis Diagnosis in Radiographs. - Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang:
Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels. - Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr:
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. - Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan:
Orthogonal Nonnegative Tucker Decomposition. - Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre, Susan M. Mniszewski, Yuri Alexeev, Ilya Safro:
Multilevel Combinatorial Optimization Across Quantum Architectures. - Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak:
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection. - Nicholas F. Marshall, Ti-Yen Lan, Tamir Bendory, Amit Singer:
Image recovery from rotational and translational invariants. - Michael P. Sheehan, Antoine Gonon, Mike E. Davies:
Compressive Learning for Semi-Parametric Models. - Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh:
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. - Vanessa Böhm, François Lanusse, Uros Seljak:
Uncertainty Quantification with Generative Models. - François Grondin, James R. Glass, Iwona Sobieraj, Mark D. Plumbley:
Sound Event Localization and Detection Using CRNN on Pairs of Microphones. - Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Shady S. Refaat, Fakhreddine S. Oueslati:
A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting. - Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Shady S. Refaat, Fakhreddine S. Oueslati:
Enhanced Evolutionary Symbolic Regression Via Genetic Programming for PV Power Forecasting. - Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu:
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs. - Mastaneh Torkamani-Azar, Sumeyra Demir Kanik, Serap Aydin, Müjdat Çetin:
Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task. - Danny Smyl, Dong Liu:
Optimizing electrode positions for 2D Electrical Impedance Tomography sensors using deep learning. - Vitalio Alfonso Reguera:
New RLL Code with Improved Error Performance for Visible Light Communication. - Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt:
Separation of Chaotic Signals by Reservoir Computing. - Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Continual Learning for Infinite Hierarchical Change-Point Detection. - Chao Pan, S. M. Hossein Tabatabaei Yazdi, S. Kasra Tabatabaei, Alvaro G. Hernandez, Charles Schroeder, Olgica Milenkovic:
Image processing in DNA. - Amani Moin, Emin Gün Sirer, Kevin Sekniqi:
A Classification Framework for Stablecoin Designs. - Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies:
The Practicality of Stochastic Optimization in Imaging Inverse Problems. - Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss:
Modeling plate and spring reverberation using a DSP-informed deep neural network. - Gergely Ódor, Patrick Thiran:
Sequential metric dimension for random graphs. - Cory D. Hauck, Michael Herty, Giuseppe Visconti:
Qualitative Properties of Mathematical Model For Data Flow. - Ciarán M. Lee, Christopher Hart, Jonathan G. Richens, Saurabh Johri:
Leveraging directed causal discovery to detect latent common causes. - Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer:
Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification. - Raffi Garabet Toukhtarian:
Modeling and simulation for varying die gap fluid extrusion. - Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Global Capacity Measures for Deep ReLU Networks via Path Sampling. - Ganesh Sivaraman, Anand Narayanan Krishnamoorthy, Matthias Baur, Christian Holm, Marius Stan, Gábor Csányi, Chris J. Benmore, Álvaro Vázquez-Mayagoitia:
Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide. - Carlo Cenedese, Filippo Fabiani, Michele Cucuzzella, Jacquelien M. A. Scherpen, Ming Cao, Sergio Grammatico:
Charging plug-in electric vehicles as a mixed-integer aggregative game. - Shaojin Cai, Yuyang Xue, Qinquan Gao, Min Du, Gang Chen, Hejun Zhang, Tong Tong:
Stain Style Transfer using Transitive Adversarial Networks. - Jiro Abe, Masao Yamagishi, Isao Yamada:
Linearly Involved Generalized Moreau Enhanced Models and Their Proximal Splitting Algorithm under Overall Convexity Condition. - Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh:
Deep Clustering of Compressed Variational Embeddings. - Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Z. C. T. Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Photoshopping Colonoscopy Video Frames. - Saman Eskandarzadeh, Thomas Kalinowski, Hamish Waterer:
Maintenance scheduling in a railway corricdor. - Liang Lu:
A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models. - Sanjay Thakur, Herke van Hoof, Gunshi Gupta, David Meger:
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. - Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
INTEL-TAU: A Color Constancy Dataset. - Zhiwu Huang, Danda Pani Paudel, Guanju Li, Jiqing Wu, Radu Timofte, Luc Van Gool:
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement. - Jeffrey M. Ede:
Deep Learning Supersampled Scanning Transmission Electron Microscopy. - Hans Pinckaers, Geert Litjens:
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands. - Shang-Huan Chiu, M. Nicholas J. Moore, Bryan D. Quaife:
Viscous Transport in Eroding Porous Media. - Kim Albertsson, Federico Meloni:
Towards Fast Displaced Vertex Finding. - Puning Zhao, Lifeng Lai:
Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression. - Fuhui Zhou, Rose Qingyang Hu, Zan Li, Yuhao Wang:
Mobile Edge Computing in Unmanned Aerial Vehicle Networks. - Beril Sirmaçek, Max Kivits:
Semantic Segmentation of Skin Lesions using a Small Data Set. - Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Paul Michael Walker, Alain Lalande:
Deep generative model-driven multimodal prostate segmentation in radiotherapy. - Jiahao Lu, Natasa Sladoje, Christina Runow Stark, Eva Darai Ramqvist, Jan-Michael Hirsch, Joakim Lindblad:
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images. - Roman Pogodin, Dane S. Corneil, Alexander Seeholzer, Joseph Heng, Wulfram Gerstner:
Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks. - Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni:
Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data. - Tien Cuong Phi, Alexandre Muzy, Patricia Reynaud-Bouret:
Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks. - Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell:
Neural Execution of Graph Algorithms. - Jiaxin Shi, Michalis K. Titsias, Andriy Mnih:
Sparse Orthogonal Variational Inference for Gaussian Processes. - Giacomo Nannicini:
Fast quantum subroutines for the simplex method. - Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari:
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. - Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Richard C. Gerkin, Alán Aspuru-Guzik, Alexander B. Wiltschko:
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules. - Kameron Decker Harris, Yizhe Zhu:
Deterministic tensor completion with hypergraph expanders. - Roopam K. Gupta, Graham D. Bruce, Simon J. Powis, Kishan Dholakia:
Deep learning enabled laser speckle wavemeter with a high dynamic range. - Blake Zimmerman, Sara Johnson, Henrik Odéen, Jill Shea, Markus Foote, Nicole Winkler, Sarang C. Joshi, Allison Payne:
Learning Multiparametric Biomarkers for Assessing MR-Guided Focused Ultrasound Treatments Using Volume-Conserving Registration. - Fabian Wein, Peter D. Dunning, Julian A. Norato:
A Review on Feature-Mapping Methods for Structural Optimization. - Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Du Phan, Jonathan P. Chen:
Functional Tensors for Probabilistic Programming. - Wei Deng, Xiao Zhang, Faming Liang, Guang Lin:
An Adaptive Empirical Bayesian Method for Sparse Deep Learning. - Safwan Alfattani, Wael Jaafar, Halim Yanikomeroglu, Abbas Yongaçoglu:
Multi-UAV Data Collection Framework for Wireless Sensor Networks. - Tyler LaBonte, Carianne Martinez, Scott A. Roberts:
We Know Where We Don't Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations. - Zhen Liu, Borui Xiao, Yuemeng Li, Yong Fan:
Context-endcoding for neural network based skull stripping in magnetic resonance imaging. - Mohanad Ajina, Daniel Tabatabai, Cameron Nowzari:
Asynchronous Distributed Event-Triggered Coordination for Multi-Agent Coverage Control. - Rusheng Zhang, Romain Leteurtre, Benjamin Striner, Ammar S. Alanazi, Abdullah Alghafis, Ozan K. Tonguz:
Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation. - Mohamed Djallel Dilmi, Laurent Barthes, Cécile Mallet, Aymeric Chazottes:
Study of the impact of climate change on precipitation in Paris area using method based on iterative multiscale dynamic time warping (IMS-DTW). - Erdem Varol, Amin Nejatbakhsh:
Wasserstein total variation filtering. - Matthew Norton, Johannes O. Royset:
Diametrical Risk Minimization: Theory and Computations. - Ursula Laa, Dianne Cook, German Valencia:
A slice tour for finding hollowness in high-dimensional data. - Sangkyun Lee, Piotr Sobczyk, Malgorzata Bogdan:
Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control. - John McKay, Anne Gelb, Suren Jayasuriya, Vishal Monga:
Thresholded Non-Uniform Fourier Frame-Based Reconstruction for Stripmap SAR. - Yu Qin, Yuxing Li, Zhiwen Liu, Chuyang Ye:
Knowledge Transfer between Datasets for Learning-based Tissue Microstructure Estimation. - Daniel T. Zhang, Young Hun Jung, Ambuj Tewari:
Online Boosting for Multilabel Ranking with Top-k Feedback. - Mark Jones, Philippe Gambette, Leo van Iersel, Remie Janssen, Steven Kelk, Fabio Pardi, Céline Scornavacca:
Cutting an alignment with Ockham's razor. - Zhuonan He, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu:
Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction. - Marta D'Elia, Pavel B. Bochev:
Formulation, analysis and computation of an optimization-based local-to-nonlocal coupling method. - Yibo Xu, Yangyang Xu:
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization. - Shuming Jiao, Dongfang Zhang, Chonglei Zhang, Yang Gao, Ting Lei, Xiaocong Yuan:
Data hiding in complex-amplitude modulation using a digital micromirror device. - Seyed Omid Sajedi, Xiao Liang:
Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures. - Wuchen Li, Jiaxi Zhao:
Wasserstein information matrix. - James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Gaussian Uncertain Models. - Enlai Guo, Shuo Zhu, Yan Sun, Lianfa Bai, Jing Han:
Learning-based real-time method to looking through scattering medium oriented to practical application. - András Sebö:
Color-critical Graphs and Hereditary Hypergraphs. - Fatima Batool, Christian Hennig:
Characterization and Development of Average Silhouette Width Clustering. - Dario Fasino, Arianna Tonetto, Francesco Tudisco:
Generating large scale-free networks with the Chung-Lu random graph model. - Anish Dhir, Ciarán M. Lee:
Integrating overlapping datasets using bivariate causal discovery. - Mathieu Blondel:
Structured Prediction with Projection Oracles. - Maximiliaan Huisman, Mathias Hammer, Alex Rigano, Renu Gopinathan, Carlas Smith, David Grunwald, Caterina Strambio-De-Castillia:
Minimum Information guidelines for fluorescence microscopy: increasing the value, quality, and fidelity of image data. - Jean P. Chereau, Bruno Scalzo Dees, Danilo P. Mandic:
Robust Principal Component Analysis Based On Maximum Correntropy Power Iterations. - Zhangyu Li, Soham Desai, Vaishnendr D. Sudev, Pu Wang, Jinsong Han, Zhi Sun:
Underwater Cooperative MIMO Communications using Hybrid Acoustic and Magnetic Induction Technique. - David Widmann, Fredrik Lindsten, Dave Zachariah:
Calibration tests in multi-class classification: A unifying framework. - Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth S. Narayanan:
Speaker diarization using latent space clustering in generative adversarial network. - Nithin Rao Koluguri, Manoj Kumar, So Hyun Kim, Catherine Lord, Shrikanth S. Narayanan:
Meta-learning for robust child-adult classification from speech. - Mario O. Malavé, Corey A. Baron, Srivathsan P. Koundinyan, Christopher M. Sandino, Frank Ong, Joseph Y. Cheng, Dwight G. Nishimura:
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model. - Monisankha Pal, Manoj Kumar, Raghuveer Peri, Shrikanth S. Narayanan:
A study of semi-supervised speaker diarization system using gan mixture model. - Yuhang Wu, Yuhao Wang, Fuhui Zhou, Rose Qingyang Hu:
Computation Efficiency Maximization in OFDMA-Based Mobile Edge Computing Networks. - Daniel Massatt, Stephen Carr, Mitchell Luskin:
Efficient Computation of Kubo Conductivity for Incommensurate 2D Heterostructures. - Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli, Gunjan Verma:
Information Flow Optimization in Inference Networks. - Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman:
Recognizing long-form speech using streaming end-to-end models. - Xi Fang, Bo Du, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Unified Multi-scale Feature Abstraction for Medical Image Segmentation. - Rimita Lahiri, Manoj Kumar, Somer Bishop, Shrikanth S. Narayanan:
Learning Domain Invariant Representations for Child-Adult Classification from Speech. - Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram. - Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Li, Yiran Chen:
Structural sparsification for Far-field Speaker Recognition with GNA. - Haishan Ye, Tong Zhang:
Mirror Natural Evolution Strategies. - Jian-Guo Liu, Min Tang, Li Wang, Zhennan Zhou:
Towards understanding the boundary propagation speeds in tumor growth models. - Xiaolin Sun, Zhufeng Hou, Masato Sumita, Shinsuke Ishihara, Ryo Tamura, Koji Tsuda:
Leveraging Legacy Data to Accelerate Materials Design via Preference Learning. - Umar Islambekov, Yulia R. Gel:
Unsupervised Space-Time Clustering using Persistent Homology. - Kaihua Xi, Hai-Xiang Lin, Jan H. van Schuppen:
Transient Performance of Power Systems with Distributed Power-Imbalance Allocation Control. - Lukas Fladung, Georgios M. Nikolopoulos, Gernot Alber, Marc Fischlin:
Intercept-Resend Emulation Attacks Against a Continuous-Variable Quantum Authentication Protocol with Physical Unclonable Keys. - Takafumi J. Suzuki:
Bayesian Modeling of Random Walker for Community Detection in Networks. - Saad Mohamad, Abdelhamid Bouchachia:
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. - Mattia Bianchi, Sergio Grammatico:
A continuous-time distributed generalized Nash equilibrium seeking algorithm over networks for double-integrator agents. - Mattia Bianchi, Giuseppe Belgioioso, Sergio Grammatico:
A distributed proximal-point algorithm for Nash equilibrium seeking under partial-decision information with geometric convergence. - David Ditter, Timo Gerkmann:
A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet. - Hoang Duy Trinh, Ángel Fernández Gambín, Lorenza Giupponi, Paolo Dini:
Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach. - Batuhan Güler, Alexis Laignelet, Panos Parpas:
Towards Robust and Stable Deep Learning Algorithms for Forward Backward Stochastic Differential Equations. - Latané Bullock, Hervé Bredin, Leibny Paola García-Perera:
Overlap-aware diarization: resegmentation using neural end-to-end overlapped speech detection. - Beat Gfeller, Christian Havnø Frank, Dominik Roblek, Matthew Sharifi, Marco Tagliasacchi, Mihajlo Velimirovic:
SPICE: Self-supervised Pitch Estimation. - Kazuhiro Nakamura, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Fast and High-Quality Singing Voice Synthesis System based on Convolutional Neural Networks. - Robert P. Gilles:
Building social networks under consent: A survey. - Johannes Dommel, Zoran Utkovski, Slawomir Stanczak, Osvaldo Simeone:
Joint Source-Channel Coding and Bayesian Message Passing Detection for Grant-Free Radio Access in IoT. - Barbara Franci, Sergio Grammatico:
A damped forward-backward algorithm for stochastic generalized Nash equilibrium seeking. - Teresa Araújo, Guilherme Aresta, Luís Mendonça, Susana Penas, Carolina Maia, Ângela Carneiro, Ana Maria Mendonça, Aurélio Campilho:
DR|GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images. - Radmila Jankovic, Ivan Mihajlovic, Alessia Amelio:
Time Series Vector Autoregression Prediction of the Ecological Footprint based on Energy Parameters. - Jakub Janský, Jirí Málek, Jaroslav Cmejla, Tomás Kounovský, Zbynek Koldovský, Jindrich Zdánský:
Adaptive blind audio source extraction supervised by dominant speaker identification using x-vectors. - Kevin O'Keeffe, Paolo Santi, Carlo Ratti:
Modeling vehicular mobility patterns using recurrent neural networks. - Yakup Ceki Papo:
Bias-Variance Tradeoff in a Sliding Window Implementation of the Stochastic Gradient Algorithm. - Emiru Tsunoo, Yosuke Kashiwagi, Toshiyuki Kumakura, Shinji Watanabe:
Towards Online End-to-end Transformer Automatic Speech Recognition. - Saurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba, Nanxin Chen, Paola García, Najim Dehak:
Feature Enhancement with Deep Feature Losses for Speaker Verification. - Nick Moran, Dan Schmidt, Yu Zhong, Patrick Coady:
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data. - Phani Sankar Nidadavolu, Saurabh Kataria, Jesús Villalba, Najim Dehak:
Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-GANs. - Felix de Chaumont Quitry, Marco Tagliasacchi, Dominik Roblek:
Learning audio representations via phase prediction. - Phani Sankar Nidadavolu, Saurabh Kataria, Jesús Villalba, L. Paola García-Perera, Najim Dehak:
Unsupervised Feature Enhancement for speaker verification. - Alexandros Kastanos, Anton Ragni, Mark J. F. Gales:
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks. - Elif Hocaoglu, Volkan Patoglu:
sEMG-Based Natural Control Interface for a Variable Stiffness Transradial Hand Prosthesis. - Ibrahim Saad Ali, Mamdouh Farouk Mohamed, Youssef Bassyouni Mahdy:
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network. - Aaron Nicolson, Kuldip K. Paliwal:
Sum-Product Networks for Robust Automatic Speaker Recognition. - Karen Larson, Sarah Olson, Anastasios Matzavinos:
Bayesian uncertainty quantification for micro-swimmers with fully resolved hydrodynamics. - Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao, Jiang Liu:
Dense Dilated Network with Probability Regularized Walk for Vessel Detection. - Debojyoti Mallick, Kundan Kumar, Sumanshu Agarwal:
Blood Vessel Detection using Modified Multiscale MF-FDOG Filters for Diabetic Retinopathy. - Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi:
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty. - Valentina Di Salvatore, Fiorenza Gianì, Giulia Russo, Marzio Pennisi, Pasqualino Malandrino, Francesco Frasca, Francesco Pappalardo:
Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression. - Eytan Kats, Jacob Goldberger, Hayit Greenspan:
A Soft STAPLE Algorithm Combined with Anatomical Knowledge. - Scott Aaronson, Sam Gunn:
On the Classical Hardness of Spoofing Linear Cross-Entropy Benchmarking. - Hamidreza Baradaran Kashani, Ata Jodeiri, Mohammad Mohsen Goodarzi, Shabnam Gholamdokht Firooz:
Image to Image Translation based on Convolutional Neural Network Approach for Speech Declipping. - Ata Jodeiri, Yoshito Otake, Reza Aghaeizadeh Zoroofi, Yuta Hiasa, Masaki Takao, Keisuke Uemura, Nobuhiko Sugano, Yoshinobu Sato:
Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study. - Ilan Nehama:
Almost Quasi-linear Utilities in Disguise: Positive-representation An Extension of Roberts' Theorem. - Ayon Biswas, Jess McIver, Ashish Mahabal:
New methods to assess and improve LIGO detector duty cycle. - Mahdieh Shabanian, Eugene C. Eckstein, Hao Chen, John P. DeVincenzo:
Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI. - Xupeng Shi, A. Adam Ding:
Understanding and Quantifying Adversarial Examples Existence in Linear Classification. - Jin-Min Liang, Shu-Qian Shen, Ming Li, Lei Li:
Variational Quantum Algorithms for Dimensionality Reduction and Classification. - Xiaodong Zheng, Haoyong Chen, Yan Xu, Zhengmao Li, Zhenjia Lin, Zipeng Liang:
A Mixed-Integer SDP Solution Approach to Distributionally Robust Unit Commitment with Second Order Moment Constraints. - Kenta Cho:
Effectuses in Categorical Quantum Foundations. - Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami:
Prior specification via prior predictive matching: Poisson matrix factorization and beyond. - Yi Xu, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun:
Non-Local ConvLSTM for Video Compression Artifact Reduction. - Marzio Pennisi, Miguel A. Juárez, Giulia Russo, Marco Viceconti, Francesco Pappalardo:
Generation of digital patients for the simulation of tuberculosis with UISS-TB. - Manuel S. Stein:
Spectral Power Parameter Estimation of Random Sources with Binary Sampled Signals. - Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson:
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction. - Mona Azadkia, Sourav Chatterjee:
A simple measure of conditional dependence. - Xiangyu Zhang, Sayan Mukherjee, Alvin R. Lebeck:
A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators. - Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj:
Dual IV: A Single Stage Instrumental Variable Regression. - Melih C. Yesilli, Sarah Tymochko, Firas A. Khasawneh, Elizabeth Munch:
Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector. - Zheng Wang, Shandian Zhe:
Conditional Expectation Propagation. - David Cortes:
Distance approximation using Isolation Forests. - Reza Rezaie, X. Rong Li:
Gaussian Conditionally Markov Sequences: Singular/Nonsingular. - Peter Bürgisser, Cole Franks, Ankit Garg, Rafael Mendes de Oliveira, Michael Walter, Avi Wigderson:
Towards a theory of non-commutative optimization: geodesic first and second order methods for moment maps and polytopes. - Chi Wu, Xinping Yi, Wenjin Wang, Li You, Qing Huang, Xiqi Gao:
Learning to Localize: A 3D CNN Approach to User Positioning in Massive MIMO-OFDM Systems. - Yi Zhao, Xin Wang, Lauri Juvela, Junichi Yamagishi:
Transferring neural speech waveform synthesizers to musical instrument sounds generation. - Yusuke Yasuda, Xin Wang, Junichi Yamagishi:
Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment. - Bryan Saldivar-Espinoza, Dennis Núñez Fernández, Franklin Porras-Barrientos, Alicia Alva-Mantari, Lisa Suzanne Leslie, Mirko Zimic:
Portable system for the prediction of anemia based on the ocular conjunctiva using Artificial Intelligence. - Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi:
Adaptive Sampling for Estimating Multiple Probability Distributions. - Jingbo Liu, Philippe Rigollet:
Power analysis of knockoff filters for correlated designs. - Tiangang Cui, Gianluca Detommaso, Robert Scheichl:
Multilevel Dimension-Independent Likelihood-Informed MCMC for Large-Scale Inverse Problems. - Xiuhong Wei, Chen Hu, Linglong Dai:
Knowledge-Aided Deep Learning for Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems. - Giorgia Dellaferrera, Flavio Martinelli, Milos Cernak:
A Bin Encoding Training of a Spiking Neural Network-based Voice Activity Detection. - Trevon Badloe, Inki Kim, Junsuk Rho:
Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning. - Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding:
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. - Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle:
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods. - Ginestra Bianconi, Sergey N. Dorogovtsev:
The spectral dimension of simplicial complexes: a renormalization group theory. - Tyler Lee, Ting Gong, Suchismita Padhy, Andrew Rouditchenko, Anthony Ndirango:
Label-efficient audio classification through multitask learning and self-supervision. - Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad:
Detecting Multiple Speech Disfluencies using a Deep Residual Network with Bidirectional Long Short-Term Memory. - Hossein Zeinali, Shuai Wang, Anna Silnova, Pavel Matejka, Oldrich Plchot:
BUT System Description to VoxCeleb Speaker Recognition Challenge 2019. - Yu-An Chung, James R. Glass:
Generative Pre-Training for Speech with Autoregressive Predictive Coding. - Duc Le, Thilo Köhler, Christian Fuegen, Michael L. Seltzer:
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR. - Rafael Ferro, Nicolas Obin, Axel Roebel:
SoftGAN: Learning generative models efficiently with application to CycleGAN Voice Conversion. - Sherif Abdulatif, Karim Armanious, Karim Guirguis, Jayasankar T. Sajeev, Bin Yang:
Perceptual Speech Enhancement via Generative Adversarial Networks. - Ethan Manilow, Prem Seetharaman, Bryan Pardo:
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. - Alisa Liu, Prem Seetharaman, Bryan Pardo:
Model selection for deep audio source separation via clustering analysis. - Andy T. Liu, Shu-Wen Yang, Po-Han Chi, Po-Chun Hsu, Hung-yi Lee:
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders. - Khush Bakht, Furqan Jameel, Zain Ali, Wali Ullah Khan, Imran Khan, Guftaar Ahmad Sardar Sidhu, Jeong Woo Lee:
Power Allocation and User Assignment Scheme for Beyond 5G Heterogeneous Networks. - Aditya Deshmukh, Srikrishna Bhashyam, Venugopal V. Veeravalli:
Sequential Controlled Sensing for Composite Multihypothesis Testing. - Guillaume Noyel, Jesús Angulo, Dominique Jeulin, Daniel Balvay, Charles-André Cuenod:
Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies. - Mattia Marconcini, Annekatrin Metz-Marconcini, Soner Üreyen, Daniela Palacios-Lopez, Wiebke Hanke, Felix Bachofer, Julian Zeidler, Thomas Esch, Noel Gorelick, Ashwin Kakarla, Emanuele Strano:
Outlining where humans live - The World Settlement Footprint 2015. - Christian Soize, Roger G. Ghanem:
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset. - Saeed Saremi:
On approximating ∇f with neural networks. - Shang-Chun Lin, Georg Martius, Martin Oettel:
Analytical classical density functionals from an equation learning network. - Sofiène Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder, Hans J. Briegel, Vedran Dunjko:
A framework for deep energy-based reinforcement learning with quantum speed-up. - Georgios Konstantinidis, Athanasios Kehagias:
On positionality of trigger strategies Nash Equilibria in SCAR. - Wei Ma, George H. Chen:
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption. - Jiajin Li, Sen Huang, Anthony Man-Cho So:
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression. - Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu:
Stein Variational Gradient Descent With Matrix-Valued Kernels. - Taiji Suzuki, Atsushi Nitanda:
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space. - René Carmona, Mathieu Laurière, Zongjun Tan:
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning. - Anna Guerra, Davide Dardari, Petar M. Djuric:
Joint Indoor Localization and Navigation of UAVs for Network Formation Control. - Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann:
Better Exploration with Optimistic Actor-Critic. - Anna Guerra, Francesco Guidi, Gianni Pasolini, Antonio Clemente, Raffaele D'Errico, Davide Dardari:
Automatic Mapping of the Indoor World with Personal Radars. - Yan Shuo Tan, Roman Vershynin:
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval. - Stanislav Chaichenko, Viktor Savchuk, Andrii Shidlich:
Approximation of functions by linear summation methods in the Orlicz type spaces. - Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson:
Deep Learning for Hyperspectral Image Classification: An Overview. - Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Improved Differentially Private Decentralized Source Separation for fMRI Data. - Divya Kaushik, Utkarsh Singh, Upasana Sahu, Indu Sreedevi, Debanjan Bhowmik:
Comparing domain wall synapse with other Non Volatile Memory devices for on-chip learning in Analog Hardware Neural Network. - Umar Islambekov, Monisha Yuvaraj, Yulia R. Gel:
Harnessing the power of Topological Data Analysis to detect change points in time series. - Abram Magner, Mayank Baranwal, Alfred O. Hero III:
The Power of Graph Convolutional Networks to Distinguish Random Graph Models. - Thibault Séjourné, Jean Feydy, François-Xavier Vialard, Alain Trouvé, Gabriel Peyré:
Sinkhorn Divergences for Unbalanced Optimal Transport. - Yuanhao Lai, Ian McLeod:
Ensemble Quantile Classifier. - Ching-Feng Yeh, Jay Mahadeokar, Kaustubh Kalgaonkar, Yongqiang Wang, Duc Le, Mahaveer Jain, Kjell Schubert, Christian Fuegen, Michael L. Seltzer:
Transformer-Transducer: End-to-End Speech Recognition with Self-Attention. - Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna M. Wallach:
Poisson-Randomized Gamma Dynamical Systems. - Mingrui Liu, Youssef Mroueh, Wei Zhang, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das:
Decentralized Parallel Algorithm for Training Generative Adversarial Nets. - Lampros Flokas, Emmanouil V. Vlatakis-Gkaragkounis, Georgios Piliouras:
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games. - Simon H. Tindemans, Goran Strbac:
Accelerating System Adequacy Assessment using the Multilevel Monte Carlo Approach. - Lampros Flokas, Emmanouil V. Vlatakis-Gkaragkounis, Georgios Piliouras:
Efficiently avoiding saddle points with zero order methods: No gradients required. - Bikram Karki, Myounggyu Won:
Characterizing Power Consumption of Dual-Frequency GNSS of a Smartphone. - David Joon Ho, Dig Vijay Kumar Yarlagadda, Timothy M. D'Alfonso, Matthew G. Hanna, Anne Grabenstetter, Peter Ntiamoah, Edi Brogi, Lee K. Tan, Thomas J. Fuchs:
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation. - Akshay Ajagekar, Travis S. Humble, Fengqi You:
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems. - Risheng Liu, Yuxi Zhang, Shichao Cheng, Zhongxuan Luo, Xin Fan:
Converged Deep Framework Assembling Principled Modules for CS-MRI. - Mingrui Yuan, Zhiyao Duan:
Spoofing Speaker Verification Systems with Deep Multi-speaker Text-to-speech Synthesis. - Huong Ha, Santu Rana, Sunil Gupta, Thanh Tang Nguyen, Hung Tran-The, Svetha Venkatesh:
Bayesian Optimization with Unknown Search Space. - Vasco Brattka, Guido Gherardi:
Completion of Choice. - Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Towards Quantifying Neurovascular Resilience. - Bulat Ibragimov, Gleb Gusev:
Minimal Variance Sampling in Stochastic Gradient Boosting. - Alexander P. Kartun-Giles, Konstantinos Koufos, Sunwoo Kim:
Meta Distribution of SIR in Ultra-Dense Networks with Bipartite Euclidean Matchings. - George Papamakarios:
Neural Density Estimation and Likelihood-free Inference. - Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
Mixup-breakdown: a consistency training method for improving generalization of speech separation models. - Yosi Shrem, Matthew Goldrick, Joseph Keshet:
Dr.VOT : Measuring Positive and Negative Voice Onset Time in the Wild. - Diogo R. Ferreira, Pedro J. Carvalho, Horácio Fernandes:
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data. - Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin:
Feedback Linearization for Unknown Systems via Reinforcement Learning. - Xinyong Zhou, Hao Che, Xiaorui Wang, Lei Xie:
a novel cross-lingual voice cloning approach with a few text-free samples. - Zhao You, Dan Su, Jie Chen, Chao Weng, Dong Yu:
DFSMN-SAN with Persistent Memory Model for Automatic Speech Recognition. - Thai-Son Nguyen, Sebastian Stüker, Jan Niehues, Alex Waibel:
Improving sequence-to-sequence speech recognition training with on-the-fly data augmentation. - Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth:
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support. - John Armitage, Leszek J. Spalek, Malgorzata Nguyen, Mark Nikolka, Ian E. Jacobs, Lorena Marañón, Iyad Nasrallah, Guillaume Schweicher, Ivan Dimov, Dimitrios Simatos, Iain McCulloch, Christian B. Nielsen, Gareth John Conduit, Henning Sirringhaus:
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small Data. - Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink:
On the Benefit of Adversarial Training for Monocular Depth Estimation. - Mohammad Adiban, Hossein Sameti, Saeedreza Shehnepoor:
Replay Spoofing Countermeasure Using Autoencoder and Siamese Network on ASVspoof 2019 Challenge. - Beril Sirmaçek, Nicolò Botteghi, Santiago Sanchez-Escalonilla Plaza:
Sequential image processing methods for improving semantic video segmentation algorithms. - Gero Szepannek:
How Much Can We See? A Note on Quantifying Explainability of Machine Learning Models. - Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo:
Learning Sparse Distributions using Iterative Hard Thresholding. - Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt:
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures. - Diyan Teng, Rashmi Kulkarni, Justin McGloin:
Model enhancement and personalization using weakly supervised learning for multi-modal mobile sensing. - Dominik Janzing, Lenon Minorics, Patrick Blöbaum:
Feature relevance quantification in explainable AI: A causality problem. - Daniel Goldsmith, Kim Grauer, Yonah Shmalo:
Analyzing Hack Subnetworks in the Bitcoin Transaction Graph. - Anna Breger, Gabriel Ramos-Llordén, Gonzalo Vegas-Sánchez-Ferrero, W. Scott Hoge, Martin Ehler, Carl-Fredrik Westin:
On the reconstruction accuracy of multi-coil MRI with orthogonal projections. - Keith Frankston, Jeff Kahn, Bhargav Narayanan, Jinyoung Park:
Thresholds versus fractional expectation-thresholds. - Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston, Prabhat, George E. Karniadakis:
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs. - Jeff Calder, Nicolás García Trillos:
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs. - Bhavya Ghai, Buvana Ramanan, Klaus Mueller:
Does Speech enhancement of publicly available data help build robust Speech Recognition Systems? - Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel:
Asymptotically Unbiased Generative Neural Sampling. - Andrew Zammit-Mangion, Christopher K. Wikle:
Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting. - Fabrizio Riguzzi:
Quantum Weighted Model Counting. - Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena:
Small-GAN: Speeding Up GAN Training Using Core-sets. - Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner:
Convolutional Conditional Neural Processes. - Yinsong Wang, Hessam Mahdavifar, Kamran Entesari, Shahin Shahrampour:
Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features. - Luis F. Abanto-Leon, Guillermo Kemper Vasquez, Joel Telles:
A novel fuzzy logic-based metric for audio quality assessment: Objective audio quality assessment. - Sanaz Mojrian, Gergo Pintér, Javad Hassannataj Joloudari, Imre Felde, Narjes Nabipour, László Nádai, Amir Mosavi:
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System. - Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti:
Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. - Timur Yastrzhembskiy:
On the lp stability estimates for stochastic and deterministic difference equations and their application to SPDEs and PDEs. - Munan Xu, Junming Chen, Haiqiang Wang, Shan Liu, Ge Li, Zhiqiang Bai:
C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network. - Ahmed S. Bendary, Amr Abdelaziz, C. Emre Koksal:
Positive Covert Capacity of the MIMO AWGN Channels. - Zhendong Wang, Mingyuan Zhou:
Thompson Sampling via Local Uncertainty. - Wenjun Yan, Yuanyuan Wang, Shengjia Gu, Lu Huang, Fuhua Yan, Liming Xia, Qian Tao:
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN. - Kazuki Shimada, Yuichiro Koyama, Akira Inoue:
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events. - Anatoli B. Juditsky, Joon Kwon, Eric Moulines:
Unifying mirror descent and dual averaging. - Hang Li, Yu Kang, Wenbiao Ding, Song Yang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Multimodal Learning For Classroom Activity Detection. - Subham Banga, Ujjwal Upadhyay, Piyush Agarwal, Aniket Sharma, Prerana Mukherjee:
Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wild. - Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang:
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition. - Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang:
Domain adversarial learning for emotion recognition. - Jia Xu, Yong Yao:
A sufficient condition for local nonnegativity. - Juri Kuronen, Jukka Corander, Johan Pensar:
Learning pairwise Markov network structures using correlation neighborhoods. - Hendrik Willem Jordaan, Willem Herman Steyn:
Gyro-Control of a Solar Sailing Satellite. - Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher:
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. - Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho:
Block Error Performance of NOMA with HARQ-CC in Finite Blocklength. - Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
Social Learning with Partial Information Sharing. - Barbara Franci, Sergio Grammatico, Mathias Staudigl:
Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking. - Roberto Longo:
The emergence of time. - Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck:
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation. - Alexander Wagner:
Nonembeddability of Persistence Diagrams with p>2 Wasserstein Metric. - Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell:
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. - Jing Liu, Stefan Engblom, Carl Nettelblad:
Flash X-ray diffraction imaging in 3D: a proposed analysis pipeline. - Miguel Ibáñez-Berganza, Gian Luca Lancia, Ambra Amico, Bernardo Monechi, Vittorio Loreto:
Unsupervised inference approach to facial attractiveness. - Sahar Hojjatinia, Constantino M. Lagoa:
Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity. - Yi Luo, Zhuo Chen, Nima Mesgarani, Takuya Yoshioka:
End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation. - Albert Pernía Vázquez, Núria Valls Canudas, Elisabet Golobardes-Ribé, Alessandro Camboni, Xavier Vilasís-Cardona:
Use of R-trees to improve reconstruction time in pixel trackers. - Ben Adlam, Charles Weill, Amol Kapoor:
Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks. - Matthew S. Brennan, Guy Bresler, Dheeraj Nagaraj:
Phase Transitions for Detecting Latent Geometry in Random Graphs. - Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan:
Learn-By-Calibrating: Using Calibration as a Training Objective. - Bindya Venkatesh, Jayaraman J. Thiagarajan:
Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning. - Kamal Viswanath, Alisha Sharma, Saketh Gabbita, Jason D. Geder, Ravi Ramamurti, Marius Pruessner:
Evaluation of Surrogate Models for Multi-fin Flapping Propulsion Systems. - Xiangyue Meng, Hazer Inaltekin, Brian S. Krongold:
Deep Reinforcement Learning-Based Topology Optimization for Self-Organized Wireless Sensor Networks. - Andrea C. Burgess, Rosalind A. Cameron, Nancy E. Clarke, Peter Danziger, Stephen Finbow, Caleb W. Jones, David A. Pike:
Cops that surround a robber. - Anastasia Razdaibiedina, Jeevaa Velayutham, Miti Modi:
Multi-defect microscopy image restoration under limited data conditions. - Liyao Lyu, Zhiwen Zhang, Jingrun Chen:
Connecting exciton diffusion with surface roughness via deep learning. - Mayank Baranwal, Kunal Garg, Dimitra Panagou, Alfred O. Hero III:
Distributed Fixed-Time Economic Dispatch under Time-Varying Topology and Uncertain Information. - Faya Wang, Minghao Song, Auralee Edelen, Xiaobiao Huang:
Machine learning for design optimization of storage ring nonlinear dynamics. - Aaron Babier, Rafid Mahmood, Andrea L. McNiven, Adam Diamant, Timothy C. Y. Chan:
The importance of evaluating the complete automated knowledge-based planning pipeline. - Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization. - Elsa Siggiridou, Christos Koutlis, Alkiviadis Tsimpiris, Dimitris Kugiumtzis:
Evaluation of Granger causality measures for constructing networks from multivariate time series. - Ruturaj G. Gavaskar, Kunal N. Chaudhury:
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM. - Ciara Pike-Burke, Steffen Grünewälder:
Recovering Bandits. - Abhayjeet Singh, Aravind Illa, Prasanta Kumar Ghosh:
A comparative study of estimating articulatory movements from phoneme sequences and acoustic features. - Alireza Ahrabian, João F. C. Mota, Andrew M. Wallace:
Image-Guided Depth Upsampling via Hessian and TV Priors. - Weijie Liu, Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil, Zebang Shen, Nenggan Zheng:
A Decentralized Proximal Point-type Method for Saddle Point Problems. - Woong-Hee Lee, Jong-Ho Lee, Ki Won Sung:
Geometric Sequence Decomposition with $k$-simplexes Transform. - Amir Hossein Akhavan Rahnama, Henrik Boström:
A study of data and label shift in the LIME framework. - (Withdrawn) Kernel-Guided Training of Implicit Generative Models with Stability Guarantees.
- Mai Trang Vu, François Bachoc, Edouard Pauwels:
Rate of convergence for geometric inference based on the empirical Christoffel function. - Javier Cabrera, D. Amaratunga, William Kostis, John B. Kostis:
Precision disease networks (PDN). - Waleed A. Yousef:
Assessment of Multiple-Biomarker Classifiers: fundamental principles and a proposed strategy. - Hala Ghazi, François James, Hélène Mathis:
A Nonisothermal Thermodynamical Model Of Liquid-vapor Interaction With Metastability. - Harbir Antil, Umberto Biccari, Rodrigo Ponce, Mahamadi Warma, Sebastián Zamorano:
Controllability properties from the exterior under positivity constraints for a 1-D fractional heat equation. - Aurélien Decelle, Cyril Furtlehner:
Gaussian-Spherical Restricted Boltzmann Machines. - Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller:
EnergyStar++: Towards more accurate and explanatory building energy benchmarking. - Michael Zotov, Jevgenij Gamper:
Conditional Denoising of Remote Sensing Imagery Using Cycle-Consistent Deep Generative Models. - Lin Lin, Yu Tong:
Solving quantum linear system problem with near-optimal complexity. - Haoqian Li:
A Survey of Adwords Problem With Small Bids In a Primal-dual Setting: Greedy Algorithm, Ranking Algorithm and Primal-dual Training-based Algorithm. - Peiyuan Zhang, Hadi Daneshmand, Thomas Hofmann:
Mixing of Stochastic Accelerated Gradient Descent. - Adam Bouland, Bill Fefferman, Umesh V. Vazirani:
Computational pseudorandomness, the wormhole growth paradox, and constraints on the AdS/CFT duality. - Huan Zhang, Minhao Cheng, Cho-Jui Hsieh:
Enhancing Certifiable Robustness via a Deep Model Ensemble. - Giona Casiraghi, Frank Schweitzer:
Improving the robustness of online social networks: A simulation approach of network interventions. - Jonathan Love, Dan Boneh:
Supersingular Curves With Small Non-integer Endomorphisms. - Dmitry Shkatov, Clint J. van Alten:
Complexity of the universal theory of bounded residuated distributive lattice-ordered groupoids. - Zhuangzhi Xu, Wenjun Cai, Chaolong Jiang, Yushun Wang:
Optimal error estimate of a conservative Fourier pseudo-spectral method for the space fractional nonlinear Schrödinger equation. - Francisco Esquembre, Félix J. García Clemente, Rafael Chicón, Lawrence Wee, Leong Tze Kwang, Darren Tan:
Easy Java/JavaScript Simulations as a tool for Learning Analytics. - Mohammad Neinavaie, Mostafa Derakhtian, Negar Daryanavardan, Sergiy A. Vorobyov:
A Complexity Efficient DMT-Optimal Tree Pruning Based Sphere Decoding. - Hajime Yoshino:
From complex to simple : hierarchical free-energy landscape renormalized in deep neural networks. - Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar, Umut Simsekli, Lingjiong Zhu:
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks. - Luiz Carlos da Costa Jr., Fernanda Souza Thomé, Joaquim Dias Garcia, Mario V. F. Pereira:
Reliability-Constrained Power System Expansion Planning: A Stochastic Risk-Averse Optimization Approach. - Hong Qin:
Machine learning and serving of discrete field theories - when artificial intelligence meets the discrete universe. - Sergey Galkin, Sergey Rybakov:
A family of K3 surfaces and towers of algebraic curves over finite fields. - Chirag Gupta, Arun K. Kuchibhotla, Aaditya K. Ramdas:
Nested conformal prediction and quantile out-of-bag ensemble methods. - Gaurav Gupta, Minghao Yan, Benjamin Coleman, Bryce Kille, Ryan A. Leo Elworth, Tharun Medini, Todd J. Treangen, Anshumali Shrivastava:
Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO). - Saint-Clair Chabert-Liddell, Pierre Barbillon, Sophie Donnet, Emmanuel Lazega:
A Stochastic Block Model Approach for the Analysis of Multilevel Networks: an Application to the Sociology of Organizations.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-31 20:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
