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ORCIDCoRR, November 2019
- Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing:
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. - Henri Calandra, Serge Gratton, Elisa Riccietti
, Xavier Vasseur:
On the iterative solution of systems of the form ATA x=ATb+c. - Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing:
Chirality Nets for Human Pose Regression. - Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson:
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks. - Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun:
Context-Aware Local Differential Privacy. - Arnav Thakur, Reza Malekian:
Fog Computing for Detecting Vehicular Congestion, An Internet of Vehicles based Approach: A review. - Uwe Baier, Thomas Büchler, Enno Ohlebusch, Pascal Weber:
Edge minimization in de Bruijn graphs. - Thomas D. LaToza, Maryam Arab, Dastyni Loksa, Amy J. Ko:
Explicit Programming Strategies. - Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang:
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. - Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach:
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. - Li Sun, Zhongbao Zhang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu:
DNA: Dynamic Social Network Alignment. - Jian Ni, Radu Florian:
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping. - Mohammad Eslami, Mahdi Karami, Sedigheh Eslami, Solale Tabarestani, Farah Torkamani-Azar, Christoph Meinel:
SignCol: Open-Source Software for Collecting Sign Language Gestures. - William Lund Sommer, Alexandros Iosifidis:
Text-to-image synthesis method evaluation based on visual patterns. - Peter Benner, Pawan Goyal, Paul Van Dooren:
Identification of Port-Hamiltonian Systems from Frequency Response Data. - Yiwei Fu, Samer Saab Jr., Asok Ray, Michael Hauser:
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems. - Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota:
Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis. - Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan:
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers. - Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
End-to-end Non-Negative Autoencoders for Sound Source Separation. - Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li:
Deep Learning of Subsurface Flow via Theory-guided Neural Network. - Nabeel Seedat, Christopher Kanan:
Towards calibrated and scalable uncertainty representations for neural networks. - Qing Lu, Weiwen Jiang, Xiaowei Xu, Yiyu Shi, Jingtong Hu:
On Neural Architecture Search for Resource-Constrained Hardware Platforms. - Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach:
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines. - Andrew J. Weinert:
Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP. - Nicolas Boullé, Alex Townsend:
Computing with functions in the ball. - Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu:
ALERT: Accurate Anytime Learning for Energy and Timeliness. - Juncheng B. Li, Shuhui Qu, Xinjian Li, J. Zico Kolter, Florian Metze:
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System. - Elsbeth Turcan, Kathleen R. McKeown:
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media. - Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi:
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. - Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang:
Channel Characterization for 1D Molecular Communication with Two Absorbing Receivers. - Christopher Thomas, Adriana Kovashka:
Predicting the Politics of an Image Using Webly Supervised Data. - Volodymyr Buriachok, M. Hadzhyiev, Volodymyr Sokolov, Pavlo Skladannyi, L. Kuzmenko:
Implementation of an Index Optimize Technology for Highly Specialized Terms based on the Phonetic Algorithm Metaphone. - Alvaro Javier Ortega, Raimundo Sampaio Neto, Rodrigo Pereira David:
On hybrid precoder/combiner for downlink mmWave massive MU-MIMO systems. - Xianmang He, Yindong Chen:
Construction of Const Dimension Codes from Serval Parallel Lift MRD Code. - Ali Ayub, Alan R. Wagner:
Centroid-Based Scene Classification (CBSC): Using Deep Features and Clustering for RGB-D Indoor Scene Classification. - Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey:
A Game-Theoretic Approach to Covert Communications. - Jennifer Paykin, Eric Mertens, Mark Tullsen, Luke Maurer, Benoît Razet, Alexander Bakst, Scott Moore:
Weird Machines as Insecure Compilation. - Yuval Filmus, Noam Lifshitz, Dor Minzer, Elchanan Mossel:
AND Testing and Robust Judgement Aggregation. - Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. - Wenjie Lu, Dikai Liu:
A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances. - Peilin Zheng, Zibin Zheng, Hongning Dai:
XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum. - Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich:
PODNet: A Neural Network for Discovery of Plannable Options. - Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. - Neel Doshi, Francois Robert Hogan, Alberto Rodriguez:
Hybrid Differential Dynamic Programming for Planar Manipulation Primitives. - Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov:
Sequence Modeling with Unconstrained Generation Order. - Anindya De, Rocco A. Servedio:
Kruskal-Katona for convex sets, with applications. - Yifei Wang, Rui Liu, Yong Chen, Hui Zhang, Zhiwen Ye:
Regularized Non-negative Spectral Embedding for Clustering. - Yuxuan Sun, Sheng Zhou, Deniz Gündüz:
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data. - Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen:
Learning-based Real-time Detection of Intrinsic Reflectional Symmetry. - Chaochao Li, Pei Lv, Mingliang Xu, Xinyu Wang, Dinesh Manocha, Bing Zhou, Meng Wang:
Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians. - Chen Zhao, Jiaqi Yang, Xin Xiong, Angfan Zhu, Zhiguo Cao, Xin Li:
Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology. - (Withdrawn) Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension.
- Pan Zhou, Ruchao Fan, Wei Chen, Jia Jia:
Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding. - Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang:
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning. - Osama A. Hanna, Yahya H. Ezzeldin, Tara Sadjadpour, Christina Fragouli, Suhas N. Diggavi:
On Distributed Quantization for Classification. - Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar:
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions. - Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor:
Federated Learning with Differential Privacy: Algorithms and Performance Analysis. - Huanbiao Zhu, Werner Stuetzle:
A Simple and Efficient Method to Compute a Single Linkage Dendrogram. - Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, Kentaro Inui:
When Choosing Plausible Alternatives, Clever Hans can be Clever. - Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz:
Generating Justifications for Norm-Related Agent Decisions. - Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Machine Learning Using EtC Images. - Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Matthias Scheutz:
Engaging in Dialogue about an Agent's Norms and Behaviors. - Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino:
Extending Relational Query Processing with ML Inference. - Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. - Rishi Hazra, Shubham Gupta, Ambedkar Dukkipati:
Active Learning with Siamese Twins for Sequence Tagging. - Ilya Chernykh, Ekaterina Lgotina:
Two-machine routing open shop on a tree: instance reduction and efficiently solvable subclass. - Kyoichiro Kobayashi, Takato Horii, Ryo Iwaki, Yukie Nagai, Minoru Asada:
Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning. - Erik Burman, Mats G. Larson, Peter Hansbo:
Cut Bogner-Fox-Schmit Elements for Plates. - Swe Geng, Georgia Giannopoulou, Maëlle Kabir-Querrec:
Privacy Protection in Distributed Fingerprint-based Authentication. - Fan Ang, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu:
Robust Federated Learning with Noisy Communication. - Eva Ahbe, Andrea Iannelli, Roy S. Smith:
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. - Yehuda Afek, Anat Bremler-Barr, David Hay, Ran Goldschmidt, Lior Shafir, Gafnit Abraham, Avraham Shalev:
NFV-based IoT Security for Home Networks using MUD. - Gerard Awanou:
Convergence of a damped Newton's method for discrete Monge-Ampere functions with a prescribed asymptotic cone. - Marko Mihajlovic, Ning Xiong:
Finding the most similar textual documents using Case-Based Reasoning. - Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen:
Robust contrastive learning and nonlinear ICA in the presence of outliers. - Johannes Bund, Christoph Lenzen, Moti Medina:
Optimal Metastability-Containing Sorting via Parallel Prefix Computation. - Kazutaka Matsuda:
A Modular Inference of Linear Types for Multiplicity-Annotated Arrows. - Vevake Balaraman, Bernardo Magnini:
A Robust Data-Driven Approach for Dialogue State Tracking of Unseen Slot Values. - Yuqing Kong:
Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks. - Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li:
Kernelized Bayesian Softmax for Text Generation. - Ahmed Al Amin, Soo Young Shin:
Capacity improvement of non-orthogonal multiple access downlink transmission by orbital angular momentum based mode division multiple access. - Avinash Madasu, Sivasankar Elango:
Efficient Feature Selection techniques for Sentiment Analysis. - Kiwook Bae, Heechang Ryu, Hayong Shin:
Does Adam optimizer keep close to the optimal point? - Farnood Salehi, William Trouleau, Matthias Grossglauser, Patrick Thiran:
Learning Hawkes Processes from a Handful of Events. - Stephanie van de Sandt, Lars Holm Nielsen, Alexandros Ioannidis, August Muench, Edwin A. Henneken, Alberto Accomazzi, Chiara Bigarella, Jose Benito Gonzalez Lopez, Sünje Dallmeier-Tiessen:
Practice meets Principle: Tracking Software and Data Citations to Zenodo DOIs. - Stefano Almi, Massimo Fornasier, Richard Huber:
Data-driven Evolutions of Critical Points. - Ayoub Mars, Ahmad Abadleh, Wael Adi:
Operator and Manufacturer Independent D2D Private Link for Future 5G Networks. - Yohei Hosoe, Tomomichi Hagiwara:
On Second-Moment Stability of Discrete-Time Linear Systems with General Stochastic Dynamics. - Emna Rejaibi, Daoud Kadoch, Kamil Bentounes, Romain Alfred, Mohamed Daoudi, Abdenour Hadid, Alice Othmani:
Clinical Depression and Affect Recognition with EmoAudioNet. - Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni:
Deep Bidirectional Transformers for Relation Extraction without Supervision. - Ignasi Mas, Josep Ramon Morros, Verónica Vilaplana:
Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. - Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass:
On the Linguistic Representational Power of Neural Machine Translation Models. - David K. Zhang:
Discovering New Runge-Kutta Methods Using Unstructured Numerical Search. - Hao Deng, Shawn Hinnebusch, Albert C. To:
Topology Optimization Design of Stretchable Metamaterials with Bezier Skeleton Explicit Density (BSED) Representation Algorithm. - Suayb S. Arslan, James Peng, Turguy Goker:
A Data-Assisted Reliability Model for Carrier-Assisted Cold Data Storage Systems. - Daniel Goldfarb, Scott Evans:
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning. - Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang:
Learning a Representation for Cover Song Identification Using Convolutional Neural Network. - Roni Mateless, Michael Segal, Robert Moskovitch:
THAAD: Efficient Matching Queries under Temporal Abstraction for Anomaly Detection. - Anthony Ferritto, Lin Pan, Rishav Chakravarti, Salim Roukos, Radu Florian, J. William Murdock, Avirup Sil:
Ensembling Strategies for Answering Natural Questions. - Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale:
Short and Wide Network Paths. - Shuming Jiao, Yang Gao, Jun Feng, Ting Lei, Xiaocong Yuan:
Does deep learning always outperform simple linear regression in optical imaging? - Manuel López-Palma, Javier Gago, Montserrat Corbalan, Josep Ramon Morros:
Audience measurement using a top-view camera and oriented trajectories. - Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra:
Decentralized Distributed PPO: Solving PointGoal Navigation. - Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave:
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. - (Withdrawn) Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers.
- Twan Keijzer, Riccardo M. G. Ferrari:
A Sliding Mode Observer Approach for Attack Detection and Estimation in Autonomous Vehicle Platoons using Event Triggered Communication. - Marc Maceira, David Varas, Josep Ramon Morros, Javier Ruiz Hidalgo, Ferran Marqués:
3D hierarchical optimization for Multi-view depth map coding. - Süleyman Aslan, Ugur Güdükbay:
Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks. - Hamidreza Zarrabi, Ali Emami, Pejman Khadivi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi:
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks. - Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
Generalized Mean Estimation in Monte-Carlo Tree Search. - Joseph Tassarotti, Jean-Baptiste Tristan, Koundinya Vajjha:
A Formal Proof of PAC Learnability for Decision Stumps. - Dandan Li, Yuan Zhou, Shuwei Huo, Sun-Yuan Kung:
Comb Convolution for Efficient Convolutional Architecture. - Indu John, Chandramouli Kamanchi, Shalabh Bhatnagar:
Generalized Speedy Q-learning. - Joshua Chen:
An Implementation of Homotopy Type Theory in Isabelle/Pure. - Paschalis Bizopoulos:
Sparsely Activated Networks: A new method for decomposing and compressing data. - Stefan S. Dantchev, Abdul Ghani, Barnaby Martin:
Sherali-Adams and the binary encoding of combinatorial principles. - Ariane Alves Almeida, Mauricio Ayala-Rincón:
Formalizing the Dependency Pair Criterion for Innermost Termination. - Jakob Lykke Andersen, Marc Hellmuth, Daniel Merkle, Nikolai Nøjgaard, Marco Peressotti:
A Graph-Based Tool to Embed the π-Calculus into a Computational DPO Framework. - Vincent Lostanlen, Kaitlin Palmer, Elly Knight, Christopher W. Clark, Holger Klinck, Andrew Farnsworth, Tina Wong, Jason Cramer, Juan Pablo Bello:
Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization. - Samyadeep Basu, Xuchen You, Soheil Feizi:
Second-Order Group Influence Functions for Black-Box Predictions. - Weihao Xia, Yujiu Yang, Jing-Hao Xue:
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches. - Pericles Philippopoulos, Alessandro Ricottone, Carlos G. Oliver:
Difficulty Scaling in Proof of Work for Decentralized Problem Solving. - Yun Bai, Suling Jia, Xixi Li:
Research and application of time series algorithms in centralized purchasing data. - Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet:
Surface Reconstruction from 3D Line Segments. - Argyrios Petras, Steven J. Ruuth:
PDEs on moving surfaces via the closest point method and a modified grid based particle method. - Danfei Xu, Misha Denil:
Positive-Unlabeled Reward Learning. - Omar U. Florez:
On the Unintended Social Bias of Training Language Generation Models with Data from Local Media. - Leandro Gomes:
On the construction of multi-valued concurrent dynamic logic. - Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian:
ARSM Gradient Estimator for Supervised Learning to Rank. - Wieslaw Kopec, Marcin Wichrowski, Krzysztof Kalinowski, Anna Jaskulska, Kinga Skorupska, Daniel Cnotkowski, Jakub Tyszka, Agata Popieluch, Anna Voitenkova, Rafal Maslyk, Piotr Gago, Maciej Krzywicki, Monika Kornacka, Cezary Biele, Pawel Kobylinski, Jaroslaw Kowalski, Katarzyna Abramczuk, Aldona Zdrodowska, Grzegorz Pochwatko, Jakub Mozaryn, Krzysztof Marasek:
VR with Older Adults: Participatory Design of a Virtual ATM Training Simulation. - Masayoshi Mase, Art B. Owen, Benjamin Seiler:
Explaining black box decisions by Shapley cohort refinement. - Matthias Andres, Florian Schneider:
The second-order formulation of the PN equations with Marshak boundary conditions. - Michael Kuchnik, George Amvrosiadis, Virginia Smith:
Progressive Compressed Records: Taking a Byte out of Deep Learning Data. - Emad Elwany, Dave Moore, Gaurav Oberoi:
BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding. - Raymond R. Devillers, Evgeny Erofeev, Thomas Hujsa:
Synthesis of Weighted Marked Graphs from Constrained Labelled Transition Systems: A Geometric Approach. - Nurettin Sergin, Hao Yan:
High-dimensional Nonlinear Profile Monitoring based on Deep Probabilistic Autoencoders. - Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich:
Explanation by Progressive Exaggeration. - Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou:
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents. - Bryce Doerr, Richard Linares, Roberto Furfaro:
Space Objects Maneuvering Prediction via Maximum Causal Entropy Inverse Reinforcement Learning. - Alison Jenkins, Vinika Gupta, Alexis Myrick, Mary Lenoir:
Variations of Genetic Algorithms. - Saatviga Sudhahar, Ian Roberts, Andrea Pierleoni:
Reasoning Over Paths via Knowledge Base Completion. - Veit Elser:
Learning Without Loss. - Amit Kumar Verma, Diksha Tiwari:
On some computational aspects of Hermite wavelets on a class of SBVPs arising in exothermic reactions. - Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell:
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. - Supreeth Shastri, Melissa Wasserman, Vijay Chidambaram:
GDPR Anti-Patterns: How Design and Operation of Modern Cloud-scale Systems Conflict with GDPR. - Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks. - Xinshi Chen:
Review: Ordinary Differential Equations For Deep Learning. - Wei Lu, Xia Wu, Xiwang Cao, Ming Chen:
Six constructions of asymptotically optimal codebooks via the character sums. - Shengjian Guo, Yueqi Chen, Peng Li, Yueqiang Cheng, Huibo Wang, Meng Wu, Zhiqiang Zuo:
SpecuSym: Speculative Symbolic Execution for Cache Timing Leak Detection. - (Withdrawn) A Hierarchical-based Greedy Algorithm for Echelon-Ferrers Construction.
- Martín Barrère, Chris Hankin, Nicolas Nicolaou, Demetrios G. Eliades, Thomas Parisini:
MaxSAT Evaluation 2019 - Benchmark: Identifying Security-Critical Cyber-Physical Components in Weighted AND/OR Graphs. - David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan:
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments. - Sadok Ben Yahia:
Contributions to the Formalization and Extraction of Generic Bases of Association Rules. - Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan:
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation. - Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si:
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization. - Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeffrey L. Krichmar, Nagarajan Kandasamy, Francky Catthoor:
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. - Lingling Yang, Dongyang Li, Yao Lu:
Prediction Modeling and Analysis for Telecom Customer Churn in Two Months. - Hongfa Xue, Guru Venkataramani, Tian Lan:
Twin-Finder: Integrated Reasoning Engine for Pointer-related Code Clone Detection. - Nguyen Phong Hoang, Arian Akhavan Niaki, Nikita Borisov, Phillipa Gill, Michalis Polychronakis:
Assessing the Privacy Benefits of Domain Name Encryption. - Andrea Zanette, David Brandfonbrener, Matteo Pirotta, Alessandro Lazaric:
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration. - Kanit Wongsuphasawat, Yang Liu, Jeffrey Heer:
Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study. - Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. - William Zhang, Sebastian Banescu, Leonardo Pasos, Steven T. Stewart, Vijay Ganesh:
MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract. - Ali Abdollahzadeh, Alejandra Sierra, Jussi Tohka:
Cylindrical Shape Decomposition Algorithm for 3D Segmentation. - Carla Binucci, Walter Didimo, Fabrizio Montecchiani:
An Experimental Study of a 1-planarity Testing and Embedding Algorithm. - Martín Hötzel Escardó:
Introduction to Univalent Foundations of Mathematics with Agda. - Zhipeng Ding, Xu Han, Marc Niethammer:
VoteNet+ : An Improved Deep Learning Label Fusion Method for Multi-atlas Segmentation. - Justin Lubin, Nick Collins, Cyrus Omar, Ravi Chugh:
Program Synthesis with Live Bidirectional Evaluation. - Timo Korthals, Malte Schilling, Jürgen Leitner:
A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. - Michal Karpinski:
CNF Encodings of Cardinality Constraints Based on Comparator Networks. - José A. Morales Escalante, Irene M. Gamba:
Entropy-stable positivity-preserving DG schemes for Boltzmann-Poisson models of collisional electronic transport along energy bands. - Paolo Pareti, George Konstantinidis, Timothy J. Norman, Murat Sensoy:
SHACL Constraints with Inference Rules. - William Lee Croft, Jörg-Rüdiger Sack, Wei Shi:
Differential Privacy Via a Truncated and Normalized Laplace Mechanism. - Sharif Abuadbba, Ayman Ibaida, Ibrahim Khalil:
IoTSign: Protecting Privacy and Authenticity of IoT using Discrete Cosine Based Steganography. - Ziyuan Pu, Zhiyong Cui, Shuo Wang, Qianmu Li, Yinhai Wang:
Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data. - Hussein Sibai, Navid Mokhlesi, Chuchu Fan, Sayan Mitra:
Multi-Agent Safety Verification using Symmetry Transformations. - Sally Dong, Yin Tat Lee, Kent Quanrud:
Computing Circle Packing Representations of Planar Graphs. - Eduardo A. Soares, Plamen Angelov:
Novelty Detection and Learning from Extremely Weak Supervision. - Mikael Henaff:
Explicit Explore-Exploit Algorithms in Continuous State Spaces. - Andrea Fioraldi, Daniele Cono D'Elia, Emilio Coppa:
WEIZZ: Automatic Grey-box Fuzzing for Structured Binary Formats. - Weihao Xia, Yujiu Yang, Jing-Hao Xue:
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement. - Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
On-Device Machine Learning: An Algorithms and Learning Theory Perspective. - Xiangyu Xu, Li Siyao, Wenxiu Sun, Qian Yin, Ming-Hsuan Yang:
Quadratic video interpolation. - Peter Grönquist, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Luca Lavarini, Shigang Li, Torsten Hoefler:
Predicting Weather Uncertainty with Deep Convnets. - Jia Liu, Quan Zhou, Yong Qiang, Bin Kang, Xiaofu Wu, Baoyu Zheng:
FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation. - Bohuan Xue, Jianhao Jiao, Yilong Zhu, Linwei Zheng, Dong Han, Ming Liu, Rui Fan:
Automatic Calibration of Dual-LiDARs Using Two Poles Stickered with Retro-Reflective Tape. - Muhammad Abdul-Mageed, Chiyu Zhang, Arun Rajendran, AbdelRahim A. Elmadany, Michael Przystupa, Lyle H. Ungar:
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media. - Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy:
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints. - Minhao Tang, Jiangtao Wen, Yuxing Han:
A Generalized Rate-Distortion-λ Model Based HEVC Rate Control Algorithm. - Niraj Sitaula, Chilukuri K. Mohan, Jennifer Grygiel, Xinyi Zhou, Reza Zafarani:
Credibility-based Fake News Detection. - Lei Wu, Qingcan Wang, Chao Ma:
Global Convergence of Gradient Descent for Deep Linear Residual Networks. - Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck:
Human and Automatic Detection of Generated Text. - Taras I. Lakoba:
Study of instability of the Fourier split-step method for the massive Gross-Neveu model. - Jiaxiong Qiu, Xinyuan Yu, Guoqiang Yang, Shuaicheng Liu:
DeepBlindness: Fast Blindness Map Estimation and Blindness Type Classification for Outdoor Scene from Single Color Image. - Rong Huang, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
A Method for Identifying Origin of Digital Images Using a Convolution Neural Network. - Jianze Li, Konstantin Usevich, Pierre Comon:
Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis. - Rong Huang, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Security of Facial Forensics Models Against Adversarial Attacks. - Upendra Kapshikar, Ayan Mahalanobis:
The Niederreiter cryptosystem and Quasi-Cyclic codes. - Zhenpeng He, Jiawei Hou, Sören Schwertfeger:
Furniture Free Mapping using 3D Lidars. - Kyoko Sugisaki:
Chat-Bot-Kit: A web-based tool to simulate text-based interactions between humans and with computers. - Hui Li, Jimin Xiao, Mingjie Sun, Eng Gee Lim, Yao Zhao:
Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples. - Abhijit Mazumdar, Srinivasan Krishnaswamy, Somanath Majhi:
H∞ Optimal Control of Jump Systems Over Multiple Lossy Communication Channels. - Bernd Hofmann, Robert Plato:
Convergence results and low order rates for nonlinear Tikhonov regularization with oversmoothing penalty term. - Zhibin Liao, Hany Girgis, Amir H. Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi:
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment. - Otmar Ertl:
ProbMinHash - A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity. - Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara:
Fair Predictors under Distribution Shift. - Gerrit Brugman, Beril Sirmaçek:
3D tissue reconstruction with Kinect to evaluate neck lymphedema. - Weihao Xia, Zhanglin Cheng, Yujiu Yang:
SR-Net: Cooperative Image Segmentation and Restoration in Adverse Environmental Conditions. - Rakesh Khobragade, Heaven Patel, Anand Namdev, Anish Mishra, Pushpak Bhattacharyya:
Machine Translation Evaluation using Bi-directional Entailment. - Hao Yang, Zhongliang Yang, YongJian Bao, Sheng Liu, Yongfeng Huang:
FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis of VoIP Stream via Multi-head Attention. - Ricard Durall, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper:
Unmasking DeepFakes with simple Features. - Tripti Agarwal, Amit Chattopadhyay, Vijay Natarajan:
Topological Feature Search in Time-Varying Multifield Data. - Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioning of Generative Adversarial Networks. - Rajakumar Arul, Gunasekaran Raja, Alaa Omran Almagrabi, Mohammed Saeed Alkatheiri, Sajjad Hussain Chauhdary, Ali Kashif Bashir:
A Quantum Safe Key Hierarchy and Dynamic Security Association for LTE/SAE in 5G Scenario. - Song Yan, Johan Wirta, Joni-Kristian Kämäräinen:
Anthropometric clothing measurements from 3D body scans. - Bartosz Bednarczyk:
Statistical EL is ExpTime-complete. - Peter Thiemann, Vasco T. Vasconcelos:
Label-Dependent Session Types. - Bob Briscoe:
TCP Prague Fall-back on Detection of a Classic ECN AQM. - Sanjay Kamath, Brigitte Grau, Yue Ma:
How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering. - Hao Zhou, Chongyang Zhang, Chuanping Hu:
Visual Relationship Detection with Relative Location Mining. - Ren-Jie Han, Shi-Yuan Liu, Qian Li:
Do Chinese Internet Users Exist Heterogeneity in Search Behavior? - Jun Zhao:
On secure communication in sensor networks under q-composite key predistribution with unreliable links. - Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang:
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations. - Pranab Basu, Navin Kashyap:
The Lattice Structure of Linear Subspace Codes. - Boyu Sima:
A Solution of the P versus NP Problem based on specific property of clique function. - Jun Zhao:
Probabilistic key predistribution in mobile networks resilient to node-capture attacks. - Jun Zhao:
On resilience and connectivity of secure wireless sensor networks under node capture attacks. - Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani:
Order Optimal One-Shot Distributed Learning. - ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
Self-supervised Deformation Modeling for Facial Expression Editing. - Jason D. Kelly, Ashley Petersen, Thomas S. Lendvay, Timothy M. Kowalewski:
The Effect of Video Playback Speed on Surgeon Technical Skill Perception. - Frédéric Marazzato, Alexandre Ern, Laurent Monasse:
A consistent discrete element method for quasi-static and dynamic elasto-plasticity. - Jun Zhao:
Secure Connectivity of Wireless Sensor Networks Under Key Predistribution with on/off Channels. - Mohamed Hamidi, Mohamed El Haziti, Hocine Cherifi, Mohammed El Hassouni:
Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform. - Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt:
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations. - Komlan Atitey, Pavel Loskot, Lyudmila Mihaylova:
Variational Bayesian inference of hidden stochastic processes with unknown parameters. - Mohsin Ur Rahman:
Leader Election in the Internet of Things: Challenges and Opportunities. - Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang:
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. - Jun Zhao:
Relations among different privacy notions. - Jun Zhao:
Composition Properties of Bayesian Differential Privacy. - Mark Weber, Jonathon Luiten, Bastian Leibe:
Single-Shot Panoptic Segmentation. - Jun Zhao:
Adaptive Statistical Learning with Bayesian Differential Privacy. - Kyoomars Alizadeh Noghani, Cristian Hernandez Benet, Andreas Kassler, Antonio Marotta, Patrick Jestin, Vivek V. Srivastava:
Automating Ethernet VPN Deployment in SDN-based Data Centers. - Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li:
Learning to Infer Implicit Surfaces without 3D Supervision. - Ramji Venkataramanan, Sekhar Tatikonda, Andrew R. Barron:
Sparse Regression Codes. - Maedeh Jamali, Mahnoosh Bagheri, Nader Karimi, Shadrokh Samavi:
Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation. - Changmao Li, Tianhao Liu, Jinho Choi:
Design and Challenges of Cloze-Style Reading Comprehension Tasks on Multiparty Dialogue. - Changmao Li, Han He, Yunze Hao, Caleb Ziems:
Ten-year Survival Prediction for Breast Cancer Patients. - Kyoomars Alizadeh Noghani, Andreas Kassler:
SDN Enhanced Ethernet VPN for Data Center Interconnect. - Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher:
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. - Tolulope A. Odetola, Hawzhin Raoof Mohammed, Syed Rafay Hasan:
A Stealthy Hardware Trojan Exploiting the Architectural Vulnerability of Deep Learning Architectures: Input Interception Attack (IIA). - Pavel Naumov, Rui-Jie Yew:
Ethical Dilemmas of Strategic Coalitions. - Teodoro Collin, Gordon L. Kindlmann, L. Ridgway Scott:
An Adaptive Savitsky-Golay Filter for Smoothing Finite Element Computation. - Hasan Giray Oral, Enrique Mallada, Dennice F. Gayme:
Performance of Single and Double-Integrator Networks over Directed Graphs. - Franz A. Heinsen:
An Algorithm for Routing Capsules in All Domains. - Congchao Wang, Yizhi Wang, Guoqiang Yu:
Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework. - Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas:
Adversarial target-invariant representation learning for domain generalization. - Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, Sanjeev Arora:
Enhanced Convolutional Neural Tangent Kernels. - Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts:
Posing Fair Generalization Tasks for Natural Language Inference. - Mohammad Hosseini:
Adaptive Rate Allocation for View-Aware Point-Cloud Streaming. - Eric L. Goodman, Dirk Grunwald:
A Streaming Analytics Language for Processing Cyber Data. - Poonam Lohan, Deepak Mishra:
Utility-Aware Optimal Resource Allocation Protocol for UAV-Assisted Small Cells with Heterogeneous Coverage Demands. - Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. - Andrew Cohen, Lei Yu, Xingye Qiao, Xiangrong Tong:
Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning. - David Golub, Roberto Martín-Martín, Ahmed El-Kishky, Silvio Savarese:
Leveraging Pretrained Image Classifiers for Language-Based Segmentation. - Sweta Agrawal, Marine Carpuat:
Controlling Text Complexity in Neural Machine Translation. - Suyash Gupta, Jelle Hellings, Mohammad Sadoghi:
Scaling Blockchain Databases through Parallel Resilient Consensus Paradigm. - Suyash Gupta, Jelle Hellings, Sajjad Rahnama, Mohammad Sadoghi:
Proof-of-Execution: Reaching Consensus through Fault-Tolerant Speculation. - Yu Yang, Guoqiang Hu, Costas J. Spanos:
Stochastic Optimal Control of HVAC system for Energy-efficient Buildings. - Abhilasha Ravichander, Alan W. Black, Shomir Wilson, Thomas B. Norton, Norman M. Sadeh:
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives. - Xiaolei Lu, Bin Ni:
Low-dimensional Semantic Space: from Text to Word Embedding. - Mahardhika Pratama, Andri Ashfahani, Mohamad Abdul Hady:
Weakly Supervised Deep Learning Approach in Streaming Environments. - Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra:
Scene Graph based Image Retrieval - A case study on the CLEVR Dataset. - Masoud Mansoury, Himan Abdollahpouri, Joris Rombouts, Mykola Pechenizkiy:
The Relationship between the Consistency of Users' Ratings and Recommendation Calibration. - Wenqi Shi, Sheng Zhou, Zhisheng Niu:
Device Scheduling with Fast Convergence for Wireless Federated Learning. - Haris Aziz, Barton E. Lee:
Proportionally Representative Participatory Budgeting with Ordinal Preferences. - Musard Balliu, Mads Dam, Roberto Guanciale:
InSpectre: Breaking and Fixing Microarchitectural Vulnerabilities by Formal Analysis. - Shai Rozenberg, Gal Elidan, Ran El-Yaniv:
Improved Detection of Adversarial Attacks via Penetration Distortion Maximization. - Henning Urbat, Lutz Schröder:
Automata Learning: An Algebraic Approach. - Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao:
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. - Marc Fischer, Matthew Mirman, Steven Stalder, Martin T. Vechev:
Online Robustness Training for Deep Reinforcement Learning. - Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. - Dimitrios Stathis, Chirag Sudarshan, Yu Yang, Matthias Jung, Syed Mohammad Asad Hassan Jafri, Christian Weis, Ahmed Hemani, Anders Lansner, Norbert Wehn:
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex. - Debanjan Ghosh, Elena Musi, Kartikeya Upasani, Smaranda Muresan:
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity. - Vitaly Roman'kov:
Cryptanalysis of a new version of the MOR scheme. - Amina Asif, Fayyaz ul Amir Afsar Minhas:
Generalized Learning with Rejection for Classification and Regression Problems. - Taotao Wang, Xiaoqian Bai, Hao Wang, Soung Chang Liew, Shengli Zhang:
Game-Theoretic Analysis of Mining Strategy in Bitcoin-NG Blockchain Protocol. - Ping-Chun Hsieh, Xi Liu, I-Hong Hou:
Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Real-Time Video Delivery in Wireless Networks. - Xue Chen, Anindya De, Rocco A. Servedio:
Testing noisy linear functions for sparsity. - Bridget Kane, Jing Su, Saturnino Luz:
Potential Applications of Machine Learning at Multidisciplinary Medical Team Meetings. - Christian Klein, Nikola M. Stoilov:
Numerical study of the transverse stability of the Peregrine solution. - Yuhao Su, Jie Ding:
Variable Grouping Based Bayesian Additive Regression Tree. - James B. Glattfelder:
The Bow-Tie Centrality: A Novel Measure for Directed and Weighted Networks with an Intrinsic Node Property. - Daniel Tanneberg, Elmar Rueckert, Jan Peters:
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer. - Yaguan Qian, Dan-feng Ma, Bin Wang, Jun Pan, Jian-Hai Chen, Jia-Min Wang, Jing-Sheng Lei:
Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolution Neural Networks. - Mohammad Ashiqur Rahman, Md Hasan Shahriar, Mohamadsaleh Jafari, Rahat Masum:
Novel Attacks against Contingency Analysis in Power Grids. - Hairong Liu, Mingbo Ma, Liang Huang:
Machine Translation in Pronunciation Space. - Jun Sun, Gang Wang, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang:
Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation. - Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen:
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. - Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Computationally efficient versions of conformal predictive distributions. - Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
Attributed Sequence Embedding. - Sari Sultan, Ayed A. Salman:
Calcium Vulnerability Scanner (CVS): A Deeper Look. - Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Arthur Dunbar:
SOK: A Comprehensive Reexamination of Phishing Research from the Security Perspective. - Andrea Zanette, Emma Brunskill:
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs. - Iacopo Masi, Joe Mathai, Wael AbdAlmageed:
Learning Structure via Consensus for Face Segmentation and Parsing. - Alexander Jung:
Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization. - Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, B. V. K. Vijaya Kumar:
Conservative Wasserstein Training for Pose Estimation. - Tolgahan Cakaloglu, Xiaowei Xu:
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering. - Lin Shao, Toki Migimatsu, Jeannette Bohg:
Learning to Scaffold the Development of Robotic Manipulation Skills. - Tian Li, Zaoxing Liu, Vyas Sekar, Virginia Smith:
Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches. - Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski:
Zeroth Order Non-convex optimization with Dueling-Choice Bandits. - Karol Chlasta:
Sentiment analysis model for Twitter data in Polish language. - Xiao Lu, Ekram Hossain, Taniya Shafique, Shaohan Feng, Hai Jiang, Dusit Niyato:
Intelligent Reflecting Surface (IRS)-Enabled Covert Communications in Wireless Networks. - Bahador Saket, Subhajit Das, Bum Chul Kwon, Alex Endert:
Geono-Cluster: Interactive Visual Cluster Analysis for Biologists. - Armando Coco:
A multigrid ghost-point level-set method for incompressible Navier-Stokes equations on moving domains with curved boundaries. - Nick James, Max Menzies, Lamiae Azizi, Jennifer Chan:
Novel semi-metrics for multivariate change point analysis and anomaly detection. - Yichuan Charlie Tang, Ruslan Salakhutdinov:
Multiple Futures Prediction. - Ge Yao, Udaya Parampalli:
Generalized NLFSR Transformation Algorithms and Cryptanalysis of the Class of Espresso-like Stream Ciphers. - Saad Alqithami, Musaad Alzahrani, Abdulkareem Alzahrani, Ahmed M. Mostafa:
Modeling an Augmented Reality Game Environment to Enhance Behavior of ADHD Patients. - Xubo Yue, Raed Al Kontar:
Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons. - Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu:
XDeep: An Interpretation Tool for Deep Neural Networks. - Asit Kumar Pradhan, Vamsi K. Amalladinne, Krishna R. Narayanan, Jean-François Chamberland:
Polar Coding and Random Spreading for Unsourced Multiple Access. - Muhammad Afzal, S. M. Riazul Islam, Maqbool Hussain, Sungyoung Lee:
Precision Medicine Informatics: Principles, Prospects, and Challenges. - David Schubert, Nikolaus Demmel, Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers:
Rolling-Shutter Modelling for Direct Visual-Inertial Odometry. - Shen Zhang, Shibo Zhang, Sufei Li, Liang Du, Thomas G. Habetler:
Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE. - Jeremy Wohlwend, Ethan R. Elenberg, Samuel Altschul, Shawn Henry, Tao Lei:
Metric Learning for Dynamic Text Classification. - Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina:
Ternary MobileNets via Per-Layer Hybrid Filter Banks. - Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian:
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. - Sayak Ray Chowdhury, Aditya Gopalan:
On Batch Bayesian Optimization. - Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li:
A General Early-Stopping Module for Crowdsourced Ranking. - Kamil Nar, S. Shankar Sastry:
Persistency of Excitation for Robustness of Neural Networks. - Jiancheng Cai, Hu Han, Shiguang Shan, Xilin Chen:
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning. - Shashi Raj Pandey, Nguyen Hoang Tran, Mehdi Bennis, Yan Kyaw Tun, Aunas Manzoor, Choong Seon Hong:
A Crowdsourcing Framework for On-Device Federated Learning. - Shishi Qiao, Ruiping Wang, Shiguang Shan, Xilin Chen:
Deep Heterogeneous Hashing for Face Video Retrieval. - Van Thong Huynh, Soo-Hyung Kim, Gueesang Lee, Hyung-Jeong Yang:
Eye Semantic Segmentation with a Lightweight Model. - Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He:
Scene Text Recognition with Temporal Convolutional Encoder. - Arindam Das:
SoildNet: Soiling Degradation Detection in Autonomous Driving. - Tuan Ngo Nguyen, Franck Dernoncourt, Thien Huu Nguyen:
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning. - Sheng Shi, Xinfeng Zhang, Haisheng Li, Wei Fan:
Explaining the Predictions of Any Image Classifier via Decision Trees. - Lei Zhu, Qi She, Lidan Zhang, Ping Guo:
A Spectral Nonlocal Block for Neural Networks. - Yuan Zhou, Hongru Li, Sun-Yuan Kung:
Temporal Action Localization using Long Short-Term Dependency. - K. Harikumar, Jinraj V. Pushpangathan, Sidhant Dhall, M. Seetharama Bhat:
Integrated guidance and control framework for the waypoint navigation of a miniature aircraft with highly coupled longitudinal and lateral dynamics. - Ermyas Abebe, Dushyant Behl, Chander Govindarajan, Yining Hu, Dileban Karunamoorthy, Petr Novotný, Vinayaka Pandit, Venkatraman Ramakrishna, Christian Vecchiola:
Enabling Enterprise Blockchain Interoperability with Trusted Data Transfer (industry track). - David Simchi-Levi, Yunzong Xu, Jinglong Zhao:
Network Revenue Management with Limited Switches: Known and Unknown Demand Distributions. - Dino Ienco, Roberto Interdonato, Raffaele Gaetano:
Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification. - Byung Hyung Kim, Sungho Jo:
Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life. - Yujing Wang, Qinyang Bao:
Adapting a Container Infrastructure for Autonomous Vehicle Development. - Florian Frohn, Matthias Naaf, Marc Brockschmidt, Jürgen Giesl:
Inferring Lower Runtime Bounds for Integer Programs. - Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, Pauline Trouvé-Peloux:
Technical Report: Co-learning of geometry and semantics for online 3D mapping. - Lin Gao, Giorgio Battistelli, Luigi Chisci:
Fusion of labeled RFS densities with minimum information loss. - Luigi Santocanale:
The Involutive Quantaloid of Completely Distributive Lattices. - Per-Olof Persson, Benjamin Stamm:
A Discontinuous Galerkin method for Shock Capturing using a mixed high-order and sub-grid low-order approximation space. - Auriol Degbelo, Brhane Bahrishum Teka:
Spatial Search Strategies for Open Government Data: A Systematic Comparison. - Shangmin Guo:
Emergence of Numeric Concepts in Multi-Agent Autonomous Communication. - Chung-Yi Li, Pei-Chieh Yuan, Hung-yi Lee:
What does a network layer hear? Analyzing hidden representations of end-to-end ASR through speech synthesis. - Alessandro Bonardi, Stephen James, Andrew J. Davison:
Learning One-Shot Imitation from Humans without Humans. - Jiong Chen, Heng Zhao, Zhicheng X. Cao, Liaojun Pang:
Singular points detection with semantic segmentation networks. - Nikita Shanin, Laura Cottatellucci, Robert Schober:
Rate-Power Region of SWIPT Systems Employing Nonlinear Energy Harvester Circuits with Memory. - Omid Esrafilian, Rajeev Gangula, David Gesbert:
3D-Map Assisted UAV Trajectory Design Under Cellular Connectivity Constraints. - John W. Barrett, Harald Garcke, Robert Nürnberg:
Stable approximations for axisymmetric Willmore flow for closed and open surfaces. - Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles:
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. - Leendert A. Remmelzwaal, Amit Kumar Mishra, George F. R. Ellis:
Human eye inspired log-polar pre-processing for neural networks. - Pawel Gawrychowski, Shay Mozes, Oren Weimann:
Minimum Cut in O(m log2n) Time. - Leandro Gomes, Alexandre Madeira, Luís Soares Barbosa:
Generalising KAT to verify weighted computations. - Florian Chabot, Mohamed Chaouch, Quoc Cuong Pham:
LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection. - Vlad-Florin Dragoi, Valeriu Beiu:
Fast Reliability Ranking of Matchstick Minimal Networks. - Dung Phuong Trinh, Youngmin Jeong, Hyundong Shin, Moe Z. Win:
Molecular Communication with Anomalous Diffusion in Stochastic Nanonetworks. - Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann:
Learning based Methods for Code Runtime Complexity Prediction. - Frank Stein, Alun D. Preece:
AAAI FSS-19: Artificial Intelligence in Government and Public Sector Proceedings. - Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles:
REMI: Mining Intuitive Referring Expressions on Knowledge Bases. - Byung Hyung Kim, Sungho Jo:
An Affective Situation Labeling System from Psychological Behaviors in Emotion Recognition. - Hao Wu, Chenwu Zhang, Hancheng Lu, Qi Hu:
Modeling and Performance Analysis in Cache-enabled Millimeter Wave HetNets with Access and Backhaul Integration. - Dung Phuong Trinh, Youngmin Jeong, Hyundong Shin, Moe Z. Win:
Molecular Communication in H-Diffusion. - Danial A. Muhammed, Soran Saeed, Tarik A. Rashid:
A Comprehensive Study on Pedestrians' Evacuation. - Cécile Daversin-Catty, Chris N. Richardson, Ada J. Ellingsrud, Marie E. Rognes:
Abstractions and automated algorithms for mixed domain finite element methods. - Yanqing Xu, Donghong Cai, Fang Fang, Zhiguo Ding, Chao Shen, Gang Zhu:
HARQ-CC Enabled NOMA Designs With Outage Probability Constraints. - Omri Ben-Eliezer, Shoham Letzter, Erik Waingarten:
Optimal Adaptive Detection of Monotone Patterns. - Jiazhu Dai, Le Shu:
Fast-UAP: Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors. - Zhepu Xu, Qun Yang:
Fast Safety Assessment and Correction Framework for Maintenance Work Zones. - Sosuke Moriguchi, Kazuko Takahashi:
Compiling Arguments in an Argumentation Framework into Three-valued Logical Expressions. - Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith:
Analysing Coreference in Transformer Outputs. - Thomas Colcombet, Nathanaël Fijalkow, Pierre Ohlmann:
Controlling a random population. - Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. - Yanwei Cui, Xavier Illy:
Understand customer reviews with less data and in short time: pretrained language representation and active learning. - Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough:
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. - Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian:
Learning to Fix Build Errors with Graph2Diff Neural Networks. - Philip Koopman, Beth Osyk, Jack Weast:
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version). - Alon Kipnis:
Higher Criticism for Discriminating Word-Frequency Tables and Testing Authorship. - Michael Schüler, Denis Golez, Yuta Murakami, Nikolaj Bittner, Andreas Hermann, Hugo U. R. Strand, Philipp Werner, Martin Eckstein:
NESSi: The Non-Equilibrium Systems Simulation package. - Tamali Banerjee, V. Rudra Murthy, Pushpak Bhattacharyya:
Ordering Matters: Word Ordering Aware Unsupervised NMT. - Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, Iryna Gurevych:
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking. - Deepshi Mediratta, Nikhil Oswal:
Detect Toxic Content to Improve Online Conversations. - Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne:
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations. - Essam A. Rashed, Yinliang Diao, Akimasa Hirata:
Learning-based estimation of dielectric properties and tissue density in head models for personalized radio-frequency dosimetry. - Lei Gao, Yixing Huang, Andreas K. Maier:
Superpixel-Based Background Recovery from Multiple Images. - Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar:
Fast Dimensional Analysis for Root Cause Investigation in Large-Scale Service Environment. - Ruibin Ma, Po-Hsuan Cameron Chen, Gang Li, Wei-Hung Weng, Angela Lin, Krishna Gadepalli, Yuannan Cai:
Human-centric Metric for Accelerating Pathology Reports Annotation. - Mahmood Fazlali, Sara Moazezi Eftekhar, Mohammad Mahdi Dehshibi, Hadi Tabatabaee Malazi, Masoud Nosrati:
Raft Consensus Algorithm: an Effective Substitute for Paxos in High Throughput P2P-based Systems. - Jennifer Horkoff, Juho Lindman, Imed Hammouda, Eric Knauss:
Strategic API Analysis and Planning: APIS Technical Report. - Axel-Cyrille Ngonga Ngomo, Diego Moussallem, Lorenz Bühmann:
A Holistic Natural Language Generation Framework for the Semantic Web. - Arijit Das, Diganta Saha:
A Novel Approach to Enhance the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques. - Reza Yazdani, Olatunji Ruwase, Minjia Zhang, Yuxiong He, José-María Arnau, Antonio González:
LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory. - Jonathan J. H. Zhu, Tai-Quan Peng:
Global Regularity and Individual Variability in Dynamic Behaviors of Human Communication. - Amal Ait Brahim, Rabah Tighilt Ferhat, Gilles Zurfluh:
Incremental extraction of a NoSQL database model using an MDA-based process. - Namrata Chaudhary, Drimik Roy Chowdhury:
Data Preprocessing for Evaluation of Recommendation Models in E-Commerce. - Mostafa Mirzaie, Behshid Behkamal, Samad Paydar:
Contextualization of Big Data Quality: A framework for comparison. - Wesam Alruwaili, Bradley Protano, Tejasvi Sirigiriraju, Hamed Alhoori:
Using Arabic Tweets to Understand Drug Selling Behaviors. - Aidan Fuller, Zhong Fan, Charles Day:
Digital Twin: Enabling Technology, Challenges and Open Research. - Yandi Pranata, Leon Andretti Abdillah, Siti Sa'uda:
Penerapan Knowledge Management System Sales and Customer Care pada PT Satria Medikantara Palembang. - Chiara Scaramuzzino, Giulia Garegnani, Pietro Zambelli:
Integrated approach for the identification of spatial patterns related to renewable energy potential in European territories. - Romeo Jorda Jr., C. Alcabasa, A. Buhay, E. C. Dela Cruz, J. P. Mendoza, A. Tolentino, Lean Karlo S. Tolentino, E. Fernandez, August Thio-ac, Jessica Velasco, Nilo Arago:
Automated Smart Wick System-Based Microfarm Using Internet of Things. - Henry Laverde-Rojas, Camilo A. Martinez, Oscar Camargo, Gustavo Rojas-Matute, Marithza Sandoval-Escobar, Juan C. Correa:
The Consistency of Trust-Sales Relationship in Latin-American E-commerce. - Jie Hua, Chenguang Liu, Tomasz Kalbarczyk, Catherine Wright, Gruia-Catalin Roman, Christine Julien:
rIoT: Enabling Seamless Context-AwareAutomation in the Internet of Things. - Ziyuan Pu, Meixin Zhu, Zhiyong Cui, Yinhai Wang:
Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data. - Mahdi Soleimani, Vahid Shah-Mansouri:
Reactive Failure Mitigation through Seamless Migration in Telecom Infrastructure Networks. - Kunal Verma, Vishal Paike:
Smart City Intelligent System Traffic Congestion Optimization using Internet Of Things. - Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez:
Ensembles of Locally Independent Prediction Models. - Mine Akbas, Thierry Gallouët, Almut Gassmann, Alexander Linke, Christian Merdon:
A gradient-robust well-balanced scheme for the compressible isothermal Stokes problem. - Hossein Shafiei, Ahmad Khonsari:
Serverless Computing: Opportunities and Challenges. - Christos K. Verginis, Daniel Zelazo, Dimos V. Dimarogonas:
Cooperative Manipulation via Internal Force Regulation: A Rigidity Theory Perspective. - Biswajit Das, Shreemayee Bora:
Nearest matrix polynomials with a specified elementary divisor. - Simone Pozzoli, Marco Gallieri, Riccardo Scattolini:
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems. - Julia Lieb, Diego Napp, Raquel Pinto:
Robust low-delay Streaming PIR using convolutional codes. - Michael Segundo Ortiz:
Sequential/Spatial, a Survey of Interactive Information Retrieval Methods for Controlled Experimentation and Evaluation. - Weiming Feng, Heng Guo, Yitong Yin, Chihao Zhang:
Fast sampling and counting k-SAT solutions in the local lemma regime. - Varun Jain, Shivam Aggarwal, Suril Mehta, Ramya Hebbalaguppe:
Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications. - Bennett Kleinberg, Paul McFarlane:
Examining UK drill music through sentiment trajectory analysis. - Daniel J. Diroff:
Bitcoin Coin Selection with Leverage. - Erfan Darzi, Hamid Soltanian-Zadeh:
Using image-extracted features to determine heart rate and blink duration for driver sleepiness detection. - Andrei Ionut Damian, Laurentiu Piciu, Alexandru Purdila, Nicolae Tapus:
CloudifierNet - Deep Vision Models for Artificial Image Processing. - Huacheng Yu:
Nearly Optimal Static Las Vegas Succinct Dictionary. - Weeam Alshangiti, Rafid Saad:
Mice and Covert Channels. - Josh Alman, Huacheng Yu:
Faster Update Time for Turnstile Streaming Algorithms. - Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren:
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. - Wataru Shimoda, Keiji Yanai:
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation. - Giuliano Tortoreto, Evgeny A. Stepanov, Alessandra Cervone, Mateusz Dubiel, Giuseppe Riccardi:
Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter? - Chandra Chekuri, Tanmay Inamdar:
Algorithms for Intersection Graphs of Multiple Intervals and Pseudo Disks. - Dmitry Gavinsky:
Bare quantum simultaneity versus classical interactivity in communication complexity. - Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies:
An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning). - Mehdi Jafari, Laura E. Brown, Lucia Gauchia:
Hierarchical Bayesian Model for Probabilistic Analysis of Electric Vehicle Battery Degradation. - Xiaolan Gu, Ming Li, Li Xiong, Yang Cao:
Providing Input-Discriminative Protection for Local Differential Privacy. - Luba Sapir, Tamara Kogan, Ariel Sapir, Amir Sapir:
Nonstationary iterative processes. - Parisa Rafiee, Omur Ozel:
Active Status Update Packet Drop Control in an Energy Harvesting Node. - Fernando de Terán, Andrii Dmytryshyn, Froilán M. Dopico:
Generic symmetric matrix polynomials with bounded rank and fixed odd grade. - Zakia Zainib, Francesco Ballarin, Stephen Fremes, Piero Triverio, Laura Jiménez-Juan, Gianluigi Rozza:
Reduced order methods for parametric optimal flow control in coronary bypass grafts, towards patient-specific data assimilation. - Sidhanth Mohanty, Prasad Raghavendra, Jeff Xu:
Lifting Sum-of-Squares Lower Bounds: Degree-2 to Degree-4. - Tian Ding, Dawei Li, Ruoyu Sun:
Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks. - Chaim Even-Zohar, Calvin Leng:
Counting Small Permutation Patterns. - Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. - Loren Anderson, Sahitya Senapathy:
On Solving the 2-Dimensional Greedy Shooter Problem for UAVs. - Marc Agenis-Nevers, Neeraj Dhanraj Bokde, Zaher Mundher Yaseen, Mayur Shende:
GuessCompx: An empirical complexity estimation in R. - Bansi Shah, Sunil Kumar Kopparapu:
A Deep Learning approach for Hindi Named Entity Recognition. - Kareem Amin, Matthew Joseph, Jieming Mao:
Pan-Private Uniformity Testing. - Sarik Ghazarian, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng:
Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems. - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. - Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans:
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals. - Shijie Wu, Alexis Conneau, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov:
Emerging Cross-lingual Structure in Pretrained Language Models. - Eduard Eiben, Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider:
On Clustering Incomplete Data. - Giulio Morina, Viktoriia Oliinyk, Julian Waton, Ines Marusic, Konstantinos Georgatzis:
Auditing and Achieving Intersectional Fairness in Classification Problems. - Uchenna Daniel Ani, Jeremy D. McK. Watson, Benjamin Green, Barnaby Craggs, Jason R. C. Nurse:
Design Considerations for Building Credible Security Testbeds: A Systematic Study of Industrial Control System Use Cases. - Mohammad Afshari, Aditya Mahajan:
Optimal local and remote controllers with unreliable uplink channels: An elementary proof. - Alborz Rezazadeh Sereshkeh, Gary Leung, Krish Perumal, Caleb Phillips, Minfan Zhang, Afsaneh Fazly, Iqbal Mohomed:
VASTA: A Vision and Language-assisted Smartphone Task Automation System. - Elisabeth Rodríguez-Heck, Karl Stickler, Matthias Walter, Stefan Weltge:
Persistency of Linear Programming Formulations for the Stable Set Problem. - Brandon Foggo, Nanpeng Yu:
Improving Supervised Phase Identification Through the Theory of Information Losses. - Yi Chern Tan, L. Elisa Celis:
Assessing Social and Intersectional Biases in Contextualized Word Representations. - Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo:
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties. - Peter Bastian, Mirco Altenbernd, Nils-Arne Dreier, Christian Engwer, Jorrit Fahlke, René Fritze, Markus Geveler, Dominik Göddeke, Oleg Iliev, Olaf Ippisch, Jan Mohring, Steffen Müthing, Mario Ohlberger, Dirk Ribbrock, Nikolay Shegunov, Stefan Turek:
Exa-Dune - Flexible PDE Solvers, Numerical Methods and Applications. - Vikas Raunak, Vaibhav Kumar, Florian Metze:
On Compositionality in Neural Machine Translation. - Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. - Chen Wang, Virgilio A. Centeno, Kevin D. Jones, Duotong Yang:
Transmission Lines Positive Sequence Parameters Estimation and Instrument Transformers Calibration Based on PMU Measurement Error Model. - Chong Shangguan, Itzhak Tamo:
Combinatorial list-decoding of Reed-Solomon codes beyond the Johnson radius. - Daniel Carter, Gregory Herschlag, Zach Hunter, Jonathan Mattingly:
A Merge-Split Proposal for Reversible Monte Carlo Markov Chain Sampling of Redistricting Plans. - Matthew Coulson, Ewan Davies, Alexandra Kolla, Viresh Patel, Guus Regts:
Statistical physics approaches to Unique Games. - Nikita Tafintsev, Dmitri Moltchanov, Mikhail Gerasimenko, Margarita Gapeyenko, Jing Zhu, Shu-Ping Yeh, Nageen Himayat, Sergey Andreev, Yevgeni Koucheryavy, Mikko Valkama:
Aerial Access and Backhaul in mmWave B5G Systems: Performance Dynamics and Optimization. - James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum:
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations. - Siddharth Krishna, Michael Emmi, Constantin Enea, Dejan Jovanovic:
Verifying Visibility-Based Weak Consistency. - Moninder Singh, Karthikeyan Natesan Ramamurthy:
Understanding racial bias in health using the Medical Expenditure Panel Survey data. - Shih-Hao Tseng, James Anderson:
Deployment Architectures for Cyber-Physical Control Systems. - Chuin Hong Yap, Connah Kendrick, Moi Hoon Yap:
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset. - Shromona Ghosh, Hadi Ravanbakhsh, Sanjit A. Seshia:
Counterexample-Guided Synthesis of Perception Models and Control. - Lean Karlo S. Tolentino, Dan Frederico P. Abacco, Mar Jun M. Siquihod:
Efficiency Improvement of Commercially Available MPPT Controllers Using Boost Converter. - Hang Chen, Vahan Huroyan, Utkarsh Soni, Yafeng Lu, Ross Maciejewski, Stephen G. Kobourov:
Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties. - Jamshid Mozafari, Afsaneh Fatemi, Mohammad Ali Nematbakhsh:
BAS: An Answer Selection Method Using BERT Language Model. - Jan Blumenkamp, Andreas Baude, Tim Laue:
Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation for Semantic Segmentation in Robot Soccer. - Hadi Ravanbakhsh, Forrest Laine, Sanjit A. Seshia:
Real-time Funnel Generation for Restricted Motion Planning. - Shuang Gao, Peter E. Caines:
Spectral Representations of Graphons in Very Large Network Systems Control. - Negin Musavi, Dawei Sun, Sayan Mitra, Geir E. Dullerud, Sanjay Shakkottai:
Optimistic Optimization for Statistical Model Checking with Regret Bounds. - Florian Heimerl, Christoph Kralj, Torsten Möller, Michael Gleicher:
embComp: Visual Interactive Comparison of Vector Embeddings. - Sethuraman Sankaran, David Lesage, Rhea Tombropoulos, Nan Xiao, Hyun Jin Kim, David Spain, Michiel Schaap, Charles A. Taylor:
Physics driven reduced order model for real time blood flow simulations. - Forough Arabshahi, Zhichu Lu, Sameer Singh, Animashree Anandkumar:
Memory Augmented Recursive Neural Networks. - Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill:
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy. - François Chollet:
On the Measure of Intelligence. - Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu:
Dynamic Graph Embedding via LSTM History Tracking. - Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. - Jack Collins, Jessie McVicar, David Wedlock, Ross Brown, David Howard, Jürgen Leitner:
Benchmarking Simulated Robotic Manipulation through a Real World Dataset. - Ren Pang, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Ting Wang:
The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models. - Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy:
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. - Zijian Wang, Zheng Zhang, Yadan Luo, Zi Huang:
Deep Collaborative Discrete Hashing with Semantic-Invariant Structure. - Duc Nguyen, Nhan Tran, Hung Le:
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory. - Bowen Li, Shiyong Zhu, Jianquan Lu:
An improved transformation between Fibonacci FSRs and Galois FSRs. - Marcin Bienkowski, Jaroslaw Byrka, Christian Coester, Lukasz Jez:
Unbounded lower bound for k-server against weak adversaries. - Yong Shan, Yang Feng, Jinchao Zhang, Fandong Meng, Wen Zhang:
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation. - Edward Collins, Nikolai Rozanov, Bingbing Zhang:
LIDA: Lightweight Interactive Dialogue Annotator. - Hamada A. Nayel, H. L. Shashirekha:
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition. - Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim:
Flight Delay Prediction using Airport Situational Awareness Map. - James Ferlez, Yasser Shoukry:
AReN: Assured ReLU NN Architecture for Model Predictive Control of LTI Systems. - Jingrun Chen, Rui Du, Panchi Li, Liyao Lyu:
Quasi-Monte Carlo sampling for machine-learning partial differential equations. - Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. - Lu Ji, Zhongyu Wei, Jing Li, Qi Zhang, Xuanjing Huang:
Discrete Argument Representation Learning for Interactive Argument Pair Identification. - Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Adversarial Language Games for Advanced Natural Language Intelligence. - Xinyi Jiang, Zhengzhe Yang, Jinho D. Choi:
Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings. - Wenye Li, Senyue Hao:
Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations. - Jason Li:
Faster Parallel Algorithm for Approximate Shortest Path. - Mahaveer Jain, Kjell Schubert, Jay Mahadeokar, Ching-Feng Yeh, Kaustubh Kalgaonkar, Anuroop Sriram, Christian Fuegen, Michael L. Seltzer:
RNN-T For Latency Controlled ASR With Improved Beam Search. - Shuchi Chawla, Evangelia Gergatsouli, Yifeng Teng, Christos Tzamos, Ruimin Zhang:
Learning Optimal Search Algorithms from Data. - Sina Shaham, Saba Rafieian, Ming Ding, Mahyar Shirvanimoghaddam, Zihuai Lin:
On the Importance of Location Privacy for Users of Location Based Applications. - Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang:
New Potential-Based Bounds for Prediction with Expert Advice. - Geonmo Gu, Siwoo Song, Simone Faro, Thierry Lecroq, Kunsoo Park:
Fast Multiple Pattern Cartesian Tree Matching. - Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang:
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation. - Wei Wang, Chuang Wang, Tao Cui, Yue Li:
Study of Constrained Network Structures for WGANs on Numeric Data Generation. - Sagnik Mukhopadhyay, Danupon Nanongkai:
Weighted Min-Cut: Sequential, Cut-Query and Streaming Algorithms. - Kasra Babaei, Zhiyuan Chen, Tomás Maul:
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF). - Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee:
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks. - Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu:
Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification. - (Withdrawn) A Heuristic Algorithm Based on Tour Rebuilding Operator for the Traveling Salesman Problem.
- Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu:
Adaptive Context Network for Scene Parsing. - Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu:
ROI Pooled Correlation Filters for Visual Tracking. - Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Feifei Li, Guanrong Chen, Qi Xuan:
Adversarial Enhancement for Community Detection in Complex Networks. - Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama:
Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage. - Andreia Correia, Pedro Ramalhete, Pascal Felber:
A Wait-Free Universal Construct for Large Objects. - Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency. - Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour:
Apprenticeship Learning via Frank-Wolfe. - Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen:
Improving Slot Filling by Utilizing Contextual Information. - Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction. - Mahyar Shirvanimoghaddam, Hossein Khayami, Yonghui Li, Branka Vucetic:
Dynamic HARQ with Guaranteed Delay. - Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko:
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. - Zhuo Wang, Runlong Hu, Qian Chen, Pei Gao, Xiaowei Xu:
ColluEagle: Collusive review spammer detection using Markov random fields. - Nader H. Bshouty, George Haddad, Catherine A. Haddad-Zaknoon:
Bounds for the Number of Tests in Non-Adaptive Randomized Algorithms for Group Testing. - Mohammadi Zaki, Avinash Mohan, Aditya Gopalan:
Towards Optimal and Efficient Best Arm Identification in Linear Bandits. - Zhaoxia Yin, Yinyin Peng, Youzhi Xiang:
Reversible Data Hiding in Encrypted Images based on Pixel Prediction and Bit-plane Compression. - Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel:
DocParser: Hierarchical Structure Parsing of Document Renderings. - Liu Yang, Rudrasis Chakraborty:
A GMM based algorithm to generate point-cloud and its application to neuroimaging. - Johannes Müller, Michael Buchholz:
A Risk and Comfort Optimizing Motion Planning Scheme for Merging Scenarios. - Olasupo O. Ajayi, Antoine B. Bagula, Kun Ma:
Fourth Industrial Revolution for Development: The Relevance of Cloud Federation in Healthcare Support. - Diego Ferigo, Silvio Traversaro, Daniele Pucci:
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning. - Panchi Li, Jingrun Chen, Rui Du, Xiao-Ping Wang:
Numerical methods for antiferromagnetics. - Zuo Ye, Tao Zhang, Xiande Zhang, Gennian Ge:
Some New Results on Splitter Sets. - Yifan Zhou, Simon Maskell:
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs). - Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan:
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction. - Xiaozhou Yang, Nan Chen, Chao Zhai:
A Control Chart Approach to Power System Line Outage Detection Under Transient Dynamics. - Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li:
Coreference Resolution as Query-based Span Prediction. - Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain:
Goal-based angular adaptivity for Boltzmann transport in the presence of ray-effects. - Hendry Ferreira Chame, Jun Tani:
Cognitive and motor compliance in intentional human-robot interaction. - Christof Löding, Anton Pirogov:
New Optimizations and Heuristics for Determinization of Büchi Automata. - Felice De Luca, Emilio Di Giacomo, Seok-Hee Hong, Stephen G. Kobourov, William J. Lenhart, Giuseppe Liotta, Henk Meijer, Alessandra Tappini, Stephen K. Wismath:
Packing Trees into 1-planar Graphs. - Rahat Yeasin Emon, Sharmistha Chanda Tista:
An Efficient Word Lookup System by using Improved Trie Algorithm. - Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel:
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. - Peidong Liu, Yiming Li, Yong Jiang, Shu-Tao Xia:
Visual Privacy Protection via Mapping Distortion. - Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou:
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. - Shuqi Liu, Zhaoxia Wu:
Efficient Multi-robot Exploration via Multi-head Attention-based Cooperation Strategy. - Paulo J. P. de Souza, Cesar H. Comin, Luciano da F. Costa:
Distance-Based Network Partitioning. - Qin Huang, Li Quan, Shengli Zhang:
Downsampling and Transparent Coding for Blockchain. - H. Murat Gürsu, Hansini Vijayaraghavan, Wolfgang Kellerer:
Boost Your CotS IEEE 802.15.4 Network with Inter-Slot Interference Cancellation for Industrial IoT. - Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Deep Flow Collaborative Network for Online Visual Tracking. - Mehmet Çakir, Timo Häckel, Sandra Reider, Philipp Meyer, Franz Korf, Thomas C. Schmidt:
A QoS Aware Approach to Service-Oriented Communication in Future Automotive Networks. - Zaoxing Liu, Tian Li, Virginia Smith, Vyas Sekar:
Enhancing the Privacy of Federated Learning with Sketching. - Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies:
Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE. - Jun Zhao, Osman Yagan, Virgil D. Gligor:
On Connectivity and Robustness in Random Intersection Graphs. - Christian Eder:
Breaking the Hidden Irreducible Polynomials Scheme. - Jonas Degrave, Abbas Abdolmaleki, Jost Tobias Springenberg, Nicolas Heess, Martin A. Riedmiller:
Quinoa: a Q-function You Infer Normalized Over Actions. - Simon Muntwiler, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger:
Distributed Model Predictive Safety Certification for Learning-based Control. - Soheil Behnezhad, Jakub Lacki, Vahab S. Mirrokni:
Fully Dynamic Matching: Beating 2-Approximation in Δε Update Time. - Paola Bonizzoni, Clelia De Felice, Rocco Zaccagnino, Rosalba Zizza:
Lyndon words versus inverse Lyndon words: queries on suffixes and bordered words. - Huanhou Xiao, Jinglun Shi:
Video Captioning with Text-based Dynamic Attention and Step-by-Step Learning. - Frédéric Nataf:
Adaptive Domain Decomposition method for Saddle Point problem in Matrix Form. - Anastasiia Doinychko, Massih-Reza Amini:
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. - Ayman Taha, Hoda M. Onsi, Mohammed Nour El din, Osman M. Hegazy:
A Model for Spatial Outlier Detection Based on Weighted Neighborhood Relationship. - Hanxiao Liu, Yilin Mo, Jiaqi Yan, Lihua Xie, Karl Henrik Johansson:
An Online Approach to Physical Watermark Design. - Sayak Ray Chowdhury, Aditya Gopalan:
On Online Learning in Kernelized Markov Decision Processes. - Chris Welty, Praveen K. Paritosh, Lora Aroyo:
Metrology for AI: From Benchmarks to Instruments. - Yunjie Gu, Yitong Li, Yue Zhu, Timothy C. Green:
Impedance-Based Whole-System Modeling for a Composite Grid via Frame-Dynamics Embedding. - Alin Albu-Schäffer, Dominic Lakatos, Stefano Stramigioli:
One-Dimensional Solution Families of Nonlinear Systems Characterized by Scalar Functions on Riemannian Manifolds. - Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios:
Reducing audio membership inference attack accuracy to chance: 4 defenses. - Jun Zhao:
Analyzing connectivity of heterogeneous secure sensor networks. - Roberto Dessì, Diane Bouchacourt, Davide Crepaldi, Marco Baroni:
Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game. - Tomas Geffner, Justin Domke:
A Rule for Gradient Estimator Selection, with an Application to Variational Inference. - Thomas Ehrhard:
Non-idempotent intersection types in logical form. - Mojdeh Karbalaee Motalleb, Vahid Shah-Mansouri, Salar Nouri Naghadeh:
Joint Power Allocation and Network Slicing in an Open RAN System. - Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam:
BlenderProc. - Candice Bentéjac, Anna Csörgo, Gonzalo Martínez-Muñoz:
A Comparative Analysis of XGBoost. - Pablo Morales-Alvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. - Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel:
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems. - John Licato, Zaid Marji, Sophia Abraham:
Scenarios and Recommendations for Ethical Interpretive AI. - Philip Sperl, Ching-yu Kao, Peng Chen, Konstantin Böttinger:
DLA: Dense-Layer-Analysis for Adversarial Example Detection. - Mazen Al-Wadi, Aziz Mohaisen, Amro Awad:
Phoenix: Towards Persistently Secure, Recoverable, and NVM Friendly Tree of Counters. - Hafiz ur Rahman, Farag Azzedin, Ahmad Shawahna, Faisal Sajjad, Alyahya Saleh Abdulrahman:
Performance Evaluation of VDI Environment. - Hanbaek Lyu, Deanna Needell, Laura Balzano:
Online matrix factorization for Markovian data and applications to Network Dictionary Learning. - Amelia Drew, Alexander Heinecke:
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F). - Junjie Yang, Hai Zhao:
Deepening Hidden Representations from Pre-trained Language Models for Natural Language Understanding. - Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila, Sanjay Misra, Mohammad Sadegh Aslanpour, Harshit Mehta, Vlado Stankovski, Peter Garraghan:
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. - Thomas Führer, Michael Karkulik:
Space-time least-squares finite elements for parabolic equations. - Yaniv Shulman:
Dynamic Time Warp Convolutional Networks. - (Withdrawn) The Bron-Kerbosch Algorithm with Vertex Ordering is Output-Sensitive.
- Wei Huang, Youcheng Sun, James Sharp, Xiaowei Huang:
Test Metrics for Recurrent Neural Networks. - Alexandr Andoni, Clifford Stein, Peilin Zhong:
Parallel Approximate Undirected Shortest Paths Via Low Hop Emulators. - Jess Banks, Sidhanth Mohanty, Prasad Raghavendra:
Local Statistics, Semidefinite Programming, and Community Detection. - Mehdi El Krari, Belaïd Ahiod:
A Memetic Algorithm Based on Breakout Local Search for the Generalized Travelling Salesman Problem. - Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik:
Thermodynamic Computing. - Elena Limonova, Daniil Matveev, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
Bipolar Morphological Neural Networks: Convolution Without Multiplication. - Jeonghun J. Lee, Sander Rhebergen:
A hybridized discontinuous Galerkin method for Poisson-type problems with sign-changing coefficients. - Xuan-Phi Nguyen, Shafiq R. Joty, Wu Kui, Ai Ti Aw:
Data Diversification: An Elegant Strategy For Neural Machine Translation. - Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz:
Dancing to Music. - Luca Celotti, Simon Brodeur, Jean Rouat:
Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents. - Amit Kumar Verma, Diksha Tiwari:
A note on Legendre, Hermite, Chebyshev, Laguerre and Gegenbauer wavelets with an application on sbvps arising in real life. - Wubing Chen, Zhiying Xu, Shuyu Shi, Yang Zhao, Jun Zhao:
A Survey of Blockchain Applications in Different Domains. - Sitan Chen, Jerry Li, Ankur Moitra:
Efficiently Learning Structured Distributions from Untrusted Batches. - Mohamed Tarek Ibn Ziad, Miguel A. Arroyo, Evgeny Manzhosov, Vasileios P. Kemerlis, Simha Sethumadhavan:
PAIRS: Control Flow Protection using Phantom Addressed Instructions. - William S. Evans, Ellen Gethner, Jack Spalding-Jamieson, Alexander Wolff:
Angle Covers: Algorithms and Complexity. - Thai Le, Suhang Wang, Dongwon Lee:
Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. - Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Data Poisoning Attacks to Local Differential Privacy Protocols. - Pavel Sulimov, Elena Sukmanova, Roman Chereshnev, Attila Kertész-Farkas:
Guided Layer-wise Learning for Deep Models using Side Information. - Mate Kisantal, Sumant Sharma, Tae Ha Park, Dario Izzo, Marcus Märtens, Simone D'Amico:
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results. - Zhisheng Xiao, Qing Yan, Yali Amit:
A Method to Model Conditional Distributions with Normalizing Flows. - Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon, Mikhail Yurochkin:
Alleviating Label Switching with Optimal Transport. - Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko:
Federated Adversarial Domain Adaptation. - Saeed Alaei, Ashwinkumar Badanidiyuru, Mohammad Mahdian, Sadra Yazdanbod:
Response Prediction for Low-Regret Agents. - Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. - Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig:
Click Maximization in Online Social Networks Using Optimal Choice of Targeted Interests. - Karan Juj, Charith Perera:
Exploring the Suitability of BLE Beacons to Track Poacher Vehicles in Harsh Jungle Terrains. - Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. - Alper Ahmetoglu, Ethem Alpaydin:
Hierarchical Mixtures of Generators for Adversarial Learning. - Max Morrison, Bryan Pardo:
OtoMechanic: Auditory Automobile Diagnostics via Query-by-Example. - Kunal Talwar:
Computational Separations between Sampling and Optimization. - Hui Guan, Andrey Malevich, Jiyan Yang, Jongsoo Park, Hector Yuen:
Post-Training 4-bit Quantization on Embedding Tables. - Kshitij P. Fadnis, Kartik Talamadupula, Pavan Kapanipathi, Haque Ishfaq, Salim Roukos, Achille Fokoue:
Heuristics for Interpretable Knowledge Graph Contextualization. - Tolulope A. Odetola, Ogheneuriri Oderhohwo, Syed Rafay Hasan:
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices. - Alba Herrera-Palacio, Carles Ventura, Carina Silberer, Ionut-Teodor Sorodoc, Gemma Boleda, Xavier Giró-i-Nieto:
Recurrent Instance Segmentation using Sequences of Referring Expressions. - Mine Sarac, Allison M. Okamura, Massimiliano Di Luca:
Effects of Haptic Feedback on the Wrist during Virtual Manipulation. - Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan:
Spatial-Temporal Cluster Relations - A Foundation for Trajectory Cluster Lifetime Analysis. - Zhiqiang Cai, Jingshuang Chen, Min Liu, Xinyu Liu:
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs. - Bashar Huleihel, Oron Sabag, Haim H. Permuter, Navin Kashyap, Shlomo Shamai:
Computable Upper Bounds on the Capacity of Finite-State Channels. - Li Tan, Marc Charest, Nathan DeBardeleben, Qiang Guan, Ben Bergen:
Soft Error Resilience and Failure Recovery for Continuum Dynamics Applications. - Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. - Li Tan, Nathan DeBardeleben:
Failure Analysis and Quantification for Contemporary and Future Supercomputers. - Yanqi Zhang, Yu Gan, Christina Delimitrou:
uqSim: Scalable and Validated Simulation of Cloud Microservices. - Wenhao Zhuo:
Control Strategies for Microgrids with Renewable Energy Generation and Battery Energy Storage Systems. - Santhosh Prabhu, Kuan-Yen Chou, Ali Kheradmand, Philip Brighten Godfrey, Matthew Caesar:
Plankton: Scalable network configuration verification through model checking. - Farley Lai, Ning Xie, Derek Doran, Asim Kadav:
Contextual Grounding of Natural Language Entities in Images. - Yujing Chen, Yue Ning, Huzefa Rangwala:
Asynchronous Online Federated Learning for Edge Devices. - Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu:
Fully Parameterized Quantile Function for Distributional Reinforcement Learning. - Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro:
Intriguing Properties of Adversarial ML Attacks in the Problem Space. - Johannes Brustle, Yang Cai, Constantinos Daskalakis:
Multi-Item Mechanisms without Item-Independence: Learnability via Robustness. - Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Osmar R. Zaïane:
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. - Jing Sun, Daxin Nie, Weihua Deng:
Error estimates for backward fractional Feynman-Kac equation with non-smooth initial data. - Noam Shazeer:
Fast Transformer Decoding: One Write-Head is All You Need. - Therese Biedl:
Are highly connected 1-planar graphs Hamiltonian? - James M. Murphy:
Spatially regularized active diffusion learning for high-dimensional images. - Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Safe Linear Thompson Sampling. - Junliang Lin, Gongpu Wang, Rongfei Fan, Theodoros A. Tsiftsis, Chintha Tellambura:
Channel Estimation for Wireless Communication Systems Assisted by Large Intelligent Surfaces. - Chuyang Ke, Jean Honorio:
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation. - Xiao Sun, Zhouhui Lian, Jianguo Xiao:
SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation. - Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu:
Distributional Reward Decomposition for Reinforcement Learning. - Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu:
CoKE: Contextualized Knowledge Graph Embedding. - Deming Ye, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network. - Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai:
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. - Ahmed M. Elmisery, Mirela Sertovic:
Privacy Preserving Threat Hunting in Smart Home Environments. - Emily Herbert, Arjun Guha:
A Language-based Serverless Function Accelerator. - Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux:
Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision. - Junru Ma, Jinquan Luo:
Symbol-pair Weight Distributions of Some Linear Codes. - Lucas Oliveira Souza, Gabriel de Oliveira Ramos, Célia Ghedini Ralha:
Experience Sharing Between Cooperative Reinforcement Learning Agents. - Mikhail Kopeliovich, Yuriy Mironenko, Mikhail Petrushan:
Architectural Tricks for Deep Learning in Remote Photoplethysmography. - Sayandev Mukherjee:
Machine Learning using the Variational Predictive Information Bottleneck with a Validation Set. - Mark Braverman, Elad Hazan, Max Simchowitz, Blake E. Woodworth:
The gradient complexity of linear regression. - Jiahua Jiang, Yanlai Chen:
Multi-level adaptive greedy algorithms for the reduced basis method. - Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. - Meng Xi, Zhiling Luo, Naibo Wang, Jianwei Yin:
A Latent Feelings-aware RNN Model for User Churn Prediction with Behavioral Data. - Zhaojie Yang, Yi Fang, Guohua Zhang, Francis C. M. Lau, Shahid Mumtaz, Daniel B. da Costa:
Analysis and Optimization of Tail-Biting Spatially Coupled Protograph LDPC Codes for BICM-ID Systems. - Valeri Aronov:
Fast Derivatives for Multilinear Polynomials. - Zihao Xie, Wenbing Tao, Li Zhu, Lin Zhao:
Localization-aware Channel Pruning for Object Detection. - Haoyuan Pan, Soung Chang Liew:
Information Update: TDMA or FDMA? - Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Unsupervised Multi-Document Opinion Summarization as Copycat-Review Generation. - Fan Wang, Xiaomin Fang, Lihang Liu, Hao Tian, Zhiming Peng:
MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems. - Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen:
Secure Federated Submodel Learning. - Seyed Kamyar Seyed Ghasemipour, Richard S. Zemel, Shixiang Gu:
A Divergence Minimization Perspective on Imitation Learning Methods. - Ying Luo, Fengshun Xiao, Hai Zhao:
Hierarchical Contextualized Representation for Named Entity Recognition. - Jaroslaw Byrka, Fabrizio Grandoni, Afrouz Jabal Ameli:
Breaching the 2-Approximation Barrier for Connectivity Augmentation: a Reduction to Steiner Tree. - (Withdrawn) Predictive modeling of brain tumor: A Deep learning approach.
- Devansh Verma, Priyansh Saxena, Ritu Tiwari:
Robot navigation and target capturing using nature-inspired approaches in a dynamic environment. - Ahmed Ben Saad, Youssef Tamaazousti, Josselin Kherroubi, Alexis He:
Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting. - Yujing Wang, Darrel Ma:
Developing a Process in Architecting Microservice Infrastructure with Docker, Kubernetes, and Istio. - Sina Molavipour, Germán Bassi, Mikael Skoglund:
Conditional Mutual Information Neural Estimator. - Claudia Malzer, Marcus Baum:
HDBSCAN(ε̂): An Alternative Cluster Extraction Method for HDBSCAN.