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ORCIDCoRR, December 2019
- Nurettin Turan, Wolfgang Utschick:
Reproducible Evaluation of Neural Network Based Channel Estimators And Predictors Using A Generic Dataset. - (Withdrawn) Randpay: The Technology for Blockchain Micropayments and Transactions Which Require Recipient's Consent.
- Shiyuan Li:
MSTDP: A More Biologically Plausible Learning. - Flavio Ferrarotti, Senén González, Klaus-Dieter Schewe, José Maria Turull Torres:
A Restricted Second-Order Logic for Non-deterministic Poly-Logarithmic Time. - Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristic Strategies in Uncertain Approval Voting Environments. - Rob Arthan, Paulo Oliva:
Negative Translations for Affine and Lukasiewicz Logic. - Deniz Ekiz, Yekta Said Can, Cem Ersoy:
Long Short-Term Network Based Unobtrusive Perceived Workload Monitoring with Consumer Grade Smartwatches in the Wild. - Tinghao Zhang, Jingxu Li, Jingfeng Li, Ling Wang, Feng Li, Jie Liu:
Model Embedded DRL for Intelligent Greenhouse Control. - Shuowen Zhang, Rui Zhang:
Radio Map Based 3D Path Planning for Cellular-Connected UAV. - Angela Dai, Christian Diller, Matthias Nießner:
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. - Chandan Pradhan, Ang Li, Lingyang Song, Branka Vucetic, Yonghui Li:
Hybrid Precoding Design for Reconfigurable Intelligent Surface aided mmWave Communication Systems. - Christina Winkler, Daniel E. Worrall, Emiel Hoogeboom, Max Welling:
Learning Likelihoods with Conditional Normalizing Flows. - Serguei Barannikov
, Alexander Korotin, Dmitry Oganesyan, Daniil Emtsev, Evgeny Burnaev:
Barcodes as summary of objective function's topology. - (Withdrawn) An HLL Riemann solver for the hybridised discontinuous Galerkin formulation of compressible flows.
- Jonnatan Arroyo, Ramiro Velazquez:
Mechanism for Embossing Braille Characters on Paper: Conceptual Design. - Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein:
Square Attack: a query-efficient black-box adversarial attack via random search. - Grigorios Loukides, George Theodorakopoulos:
Location histogram privacy by sensitive location hiding and target histogram avoidance/resemblance (extended version). - Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu:
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. - Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla, Vishal M. Patel:
Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions. - Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen J. Roberts:
Safety Guarantees for Planning Based on Iterative Gaussian Processes. - Pin Wang, Hanhan Li, Ching-Yao Chan:
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles. - Zicong Fan, Si Yi Meng, Leonid Sigal, James J. Little:
OptiBox: Breaking the Limits of Proposals for Visual Grounding. - Itay Mosafi, Eli David, Nathan S. Netanyahu:
DeepMimic: Mentor-Student Unlabeled Data Based Training. - Dario Frascaria, Neil Olver:
Algorithms for flows over time with scheduling costs. - Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Learning Perceptual Inference by Contrasting. - Stefano Siccardi, Andrew Adamatzky, Jack A. Tuszynski, Florian Huber, Jörg Schnauß:
Actin Networks Voltage Circuits. - Peng Yin, Jianing Qian, Yibo Cao, David Held, Howie Choset:
FusionMapping: Learning Depth Prediction with Monocular Images and 2D Laser Scans. - Hideki Ochiai, Patrick Mitran, H. Vincent Poor:
Capacity-Approaching Polar Codes with Long Codewords and Successive Cancellation Decoding Based on Improved Gaussian Approximation. - Thomas Bosman, Neil Olver:
Improved Approximation Algorithms for Inventory Problems. - Siming Ma, David Brooks, Gu-Yeon Wei:
A binary-activation, multi-level weight RNN and training algorithm for processing-in-memory inference with eNVM. - Xinyang Deng:
Belief and plausibility measures for D numbers. - Xuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, Yi-Kun Tang:
Tag Recommendation by Word-Level Tag Sequence Modeling. - (Withdrawn) Validation of Automatically Generated Patches: An Appetizer.
- Matthew Shunshi Zhang, Bradly C. Stadie:
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. - Jihyeon Janel Lee, Sho Arora:
A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop. - Md. Hasibur Rahman, Chowdhury Rafeed Rahman, Ruhul Amin, Md. Habibur Rahman Sifat, Afra Anika:
A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique. - Kallista A. Bonawitz, Fariborz Salehi, Jakub Konecný, Brendan McMahan, Marco Gruteser:
Federated Learning with Autotuned Communication-Efficient Secure Aggregation. - Rafaela C. Nascimento, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra:
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting. - Yannick Wend Kuni Zoetgnandé, Geoffroy Cormier, Alain-Jérôme Fougères, Jean-Louis Dillenseger:
Sub-pixel matching method for low-resolution thermal stereo images. - Christian Marzahl, Marc Aubreville, Christof A. Bertram, Stefan Gerlach, Jennifer Maier, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier:
Fooling the Crowd with Deep Learning-based Methods. - Siddhartha Jain:
Inapproximability of Additive Weak Contraction under SSEH and Strong UGC. - Huangxing Lin, Weihong Zeng, Xinghao Ding, Yue Huang, Chenxi Huang, John W. Paisley:
Learning Rate Dropout. - Biao Zhang, Peter Wonka:
Point Cloud Instance Segmentation using Probabilistic Embeddings. - Ishaan Lodha, Lakshana Kolur, K. Sree Hari, Honnavalli Prasad:
Secure Wireless Internet of Things Communication using Virtual Private Networks. - Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. - Muhammet Abdullah Soytürk, Konstantinos Parasyris, Behzad Salami, Osman S. Unsal, Gulay Yalcin, Leonardo Bautista-Gomez:
Hardware Versus Software Fault Injection of Modern Undervolted SRAMs. - Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang:
Disentanglement Challenge: From Regularization to Reconstruction. - Shady Abu Hussein, Tom Tirer, Raja Giryes:
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. - Lucy Linder, Michael Jungo, Jean Hennebert, Claudiu Musat, Andreas Fischer:
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German. - Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel:
Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations. - Ramadan Abdul-Rashid:
An Energy Efficient Distributed Gossip Algorithm for Wireless Sensor Networks based on a Randomized Markovian Duty-Cycling. - Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica:
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. - Xiyuan Liu, Li Qiu:
Bird Flocking Inspired Control Strategy for Multi-UAV Collective Motion. - Nadia Labai, Tomer Kotek, Magdalena Ortiz, Helmut Veith:
Pebble-Intervals Automata and FO2 with Two Orders (Extended Version). - Anton Kolonin:
Generalized Reputation Computation Ontology and Temporal Graph Architecture. - Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall:
Urban Driving with Conditional Imitation Learning. - Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu:
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. - Anton Kolonin:
Latent Semantic Search and Information Extraction Architecture. - Yang Song, Qiyu Kang, Wee Peng Tay:
Error-Correcting Neural Network. - Isac Arnekvist, Dmytro Kalpakchi:
[Re] Learning to Learn By Self-Critique. - Paulo José Fernandes Almeida, Julia Lieb:
Constructions of (2, 1, 2) complete j-MDP convolutional codes. - Ramadan Abdul-Rashid, Basit Olakunle Alawode:
Robustness Evaluation of the Butterfly Optimization Algorithm on a Control System. - Mohsen Tajallifar, Sina Ebrahimi, Mohammad Reza Javan, Nader Mokari, Luca Chiaraviglio:
QoS-Aware Joint Power Allocation and Task Offloading in a MEC/NFV-enabled C-RAN Network. - Shi-Gui Yang, Yuan-Yuan Wang, Di Liu, Xu Jiang, Hui Fang, Yu Yang, Mingxiong Zhao:
ReLeTA: Reinforcement Learning for Thermal-Aware Task Allocation on Multicore. - Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou:
Learning Driving Decisions by Imitating Drivers' Control Behaviors. - Sina Ebrahimi, Abulfazl Zakeri, Behzad Akbari, Nader Mokari:
Joint Resource and Admission Management for Slice-enabled Networks. - Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
SGAS: Sequential Greedy Architecture Search. - Andrei B. Bogatyrev:
Projective view at Optimization Problem for Multiband Filter. - Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi:
Pruning at a Glance: Global Neural Pruning for Model Compression. - Zhimin Yuan, Jialin Peng:
EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network. - Mingtao Feng, Syed Zulqarnain Gilani, Yaonan Wang, Liang Zhang, Ajmal Mian:
Relation Graph Network for 3D Object Detection in Point Clouds. - Joachim von zur Gathen, Mark Giesbrecht, Konstantin Ziegler:
Counting invariant subspaces and decompositions of additive polynomials. - Cinjon Resnick, Zeping Zhan, Joan Bruna:
Probing the State of the Art: A Critical Look at Visual Representation Evaluation. - Christos N. Efrem, Athanasios D. Panagopoulos:
Energy Efficiency Optimization: A New Trade-off Between Fairness and Total System Performance. - Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu:
Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare. - Emil Pricop, Sanda Florentina Mihalache:
Fuzzy approach on modelling cyber attacks patterns on data transfer in industrial control systems. - Fernando Alegre, John Underwoood, Juana Moreno, Mario Alegre:
Introduction to Computational Thinking: a new high school curriculum using CodeWorld. - Edoardo Galimberti, Chiara Madeddu, Francesco Bonchi, Giancarlo Ruffo:
Visualizing structural balance in signed networks. - Charlotte Rochereau, Benoît Sagot, Emmanuel Dupoux:
Modeling German Verb Argument Structures: LSTMs vs. Humans. - Christian Schulz:
Scalable Graph Algorithms. - Brian Swenson, H. Vincent Poor:
Smooth Fictitious Play in N×2 Potential Games. - Ngai Meng Kou, Cheng Peng, Hang Ma, T. K. Satish Kumar, Sven Koenig:
Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers. - Amnon Geifman, Yoni Kasten, Meirav Galun, Ronen Basri:
Averaging Essential and Fundamental Matrices in Collinear Camera Settings. - Junfeng Ding, Chen Wang, Cewu Lu:
Transferable Force-Torque Dynamics Model for Peg-in-hole Task. - Chenglong Fu, Qiang Zeng, Xiaojiang Du:
Towards Efficient Integration of Blockchain for IoT Security: The Case Study of IoT Remote Access. - Yipeng Li, Qiao Chen, Xuebin Wang, Xiangmin Jiao:
WLS-ENO Remap: Superconvergent and Non-Oscillatory Weighted Least Squares Data Transfer on Surfaces. - Shervin Minaee, AmirAli Abdolrashidi, Hang Su, Mohammed Bennamoun, David Zhang:
Biometric Recognition Using Deep Learning: A Survey. - Guangmo Tong, Ruiqi Wang, Zheng Dong:
On Multi-Cascade Influence Maximization: Model, Hardness and Algorithmic Framework. - Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu:
Morphing and Sampling Network for Dense Point Cloud Completion. - Jack H. Lutz, Neil Lutz:
Who Asked Us? How the Theory of Computing Answers Questions about Analysis. - Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang:
Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters. - Muntadher Sallal, Steve A. Schneider, Matthew Casey, Constantin Catalin Dragan, François Dupressoir, Luke Riley, Helen Treharne, Joe Wadsworth, Phil Wright:
VMV: Augmenting an Internet Voting System with Selene Verifiability. - Edward Kim, Divya Gopinath, Corina S. Pasareanu, Sanjit A. Seshia:
A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors. - Yue Zhao, Maciej K. Hryniewicki:
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning. - Prabu Ravindran, Emmanuel Ebanyenle, Alberta Asi Ebeheakey, Kofi Bonsu Abban, Ophilious Lambog, Richard Soares, Adriana Costa, Alex C. Wiedenhoeft:
Image Based Identification of Ghanaian Timbers Using the XyloTron: Opportunities, Risks and Challenges. - Han Zhang, Hong Xu:
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings. - Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang:
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. - Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli:
Learning to Relate from Captions and Bounding Boxes. - Eric Deng, Bilge Mutlu, Maja J. Mataric:
Embodiment in Socially Interactive Robots. - Xiao Zhang, Manish Marwah, I-Ta Lee, Martin F. Arlitt, Dan Goldwasser:
An Anomaly Contribution Explainer for Cyber-Security Applications. - Yuchen Guo, Nicholas Hanoian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou:
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization. - Daniel Votipka, Seth M. Rabin, Kristopher K. Micinski, Jeffrey S. Foster, Michelle L. Mazurek:
An Observational Investigation of Reverse Engineers' Processes. - Wen Zhang, Dongrui Wu:
Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA). - Bo Li, Jie Feng, Bingfeng Zhou:
A SVBRDF Modeling Pipeline using Pixel Clustering. - Vinayak Mathur, Jinesh Mehta, Sanjay Singh:
HCA-DBSCAN: HyperCube Accelerated Density Based Spatial Clustering for Applications with Noise. - Yuan Xiao, Yinqian Zhang, Radu Teodorescu:
SPEECHMINER: A Framework for Investigating and Measuring Speculative Execution Vulnerabilities. - Zhaoyuan Gu, Zhenzhong Jia, Howie Choset:
Adversary A3C for Robust Reinforcement Learning. - Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang:
Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework. - Santosh Mohan Rajkumar, Sayan Chakraborty, Rajeeb Dey:
Development of Embedded Speed Control System for DC Servo Motor using Wireless Communication. - Won-Ik Cho, Young Ki Moon, Sangwhan Moon, Seok Min Kim, Nam Soo Kim:
Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives. - Santosh Mohan Rajkumar, Sayan Chakraborty, Rajeeb Dey, Dipankar Deb:
Online Delay Estimation and Adaptive Compensation in Wireless Networked System: An Embedded Control Design. - Lanqing Xue, Xiaopeng Li, Nevin L. Zhang:
Not All Attention Is Needed: Gated Attention Network for Sequence Data. - Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen:
Online Knowledge Distillation with Diverse Peers. - Pulkit Sharma, Farah E. Shamout, David A. Clifton:
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality. - Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. - Shir Gur, Tal Shaharabany, Lior Wolf:
End to End Trainable Active Contours via Differentiable Rendering. - Roger K. Moore:
Talking with Robots: Opportunities and Challenges. - Mahdi Abolghasemi, Rob J. Hyndman, Garth Tarr, Christoph Bergmeir:
Machine learning applications in time series hierarchical forecasting. - Junhong Kim, Doo-Hyun Cho, Jaemyung Ahn, Han-Lim Choi:
Task Scheduling of Multiple Agile Satellites with Transition Time and Stereo Imaging Constraints. - Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan:
Dynamic Graph Representation for Partially Occluded Biometrics. - Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang:
HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation. - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
Gate-Shift Networks for Video Action Recognition. - Min Ren, Caiyong Wang, Yunlong Wang, Zhenan Sun, Tieniu Tan:
Alignment Free and Distortion Robust Iris Recognition. - Zhaohui Yang, Miaojing Shi, Yannis Avrithis, Chao Xu, Vittorio Ferrari:
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images. - Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss for Deep Metric Learning. - Hayoung Um, Heeyoul Choi:
Active Search for Nearest Neighbors. - Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng, Xiangdong Hu:
An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis. - Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Qing Yin, Ou Wu:
Deep Human Answer Understanding for Natural Reverse QA. - Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng:
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network. - Dean Zadok, Daniel McDuff, Ashish Kapoor:
Affect-based Intrinsic Rewards for Learning General Representations. - Zhiyao Tang, Liang Sun, Lu Cao, Shutong Qi, Yong Feng:
Reconsidering Design of Multi-Antenna NOMA Systems with Limited Feedback. - Stefano Buzzi, Carmen D'Andrea, Marco Lops:
Using Massive MIMO Arrays for Joint Communication and Sensing. - Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky:
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. - David Reiser, Volker Nannen, Gero Hubel, Hans W. Griepentrog:
Design, modelling and control of a novel agricultural robot with interlock drive system. - Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox:
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. - Biao Qian, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang, Ling Shao:
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. - Daniel Cotter, Vernon K. Cody Bumgardner:
Semantic Enrichment of Streaming Healthcare Data. - Yang Li:
Area Queries Based on Voronoi Diagrams. - Qiuxiang Zhong, Ke Yin, Yuping Duan:
Image Reconstruction via Discrete Curvatures. - Jyoti Prakash, Abhishek Tiwari, Christian Hammer:
PointEval: On the Impact of Pointer Analysis Frameworks. - Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani:
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving. - Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer:
DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. - Faen Zhang, Xinyu Fan, Wenfeng Zhou, Pengcheng Zhou:
PACLP: a fine-grained partition-based access control policy language for provenance. - Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio:
Automated curriculum generation for Policy Gradients from Demonstrations. - Faen Zhang, Xinyu Fan, Wenfeng Zhou, Pengcheng Zhou:
Purpose-based access policy on provenance and data algebra. - Faen Zhang, Xinyu Fan, Pengcheng Zhou, Wenfeng Zhou:
Zero knowledge proofs for cloud storage integrity checking. - Naveen Mohan, Martin Törngren:
AD-EYE: A Co-simulation Platform for Early Verification of Functional Safety Concepts. - Mohammad Ghasem Kazemi, Mohsen Montazeri:
A Novel Robust Fault Detection Scheme of Lipschitz Nonlinear Systems Using Combination of Bond Graph and Observer. - Ebrahim Badrestani, Behnam Bahrak, Ali Elahi, Adib Faramarzi, Pouria Golshanrad, Amin Karimi Monsefi, Hamid Mahini, Armin Zirak:
Real-time Travel Time Estimation Using Matrix Factorization. - Erel Segal-Halevi:
Fair Division with Bounded Sharing. - Abdullah Hamdi, Sara Rojas, Ali K. Thabet, Bernard Ghanem:
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds. - Vivek Deulkar, Jayakrishnan Nair, Ankur A. Kulkarni:
Statistical Economies of Scale in Battery Sharing. - Ivan Smirnov:
Generalizable prediction of academic performance from short texts on social media. - Lin Gong, Lu Lin, Weihao Song, Hongning Wang:
JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. - Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
A Method for Computing Class-wise Universal Adversarial Perturbations. - Ali Bereyhi, Vahid Jamali, Ralf R. Müller, Georg Fischer, Robert Schober, Antonia M. Tulino:
PAPR-Limited Precoding in Massive MIMO Systems with Reflect- and Transmit-Array Antennas. - Saba Asaad, Ali Bereyhi, Ralf R. Müller, Rafael F. Schaefer:
Secure Regularized Zero Forcing for Multiuser MIMOME Channels. - Neil Lindquist:
Replicated Computational Results (RCR) Report for "Code Generation for Generally Mapped Finite Elements". - Hardik Kothari, Rolf Krause:
A Multigrid Method for a Nitsche-based Extended Finite Element Method. - Himangi Mittal, Brian Okorn, David Held:
Just Go with the Flow: Self-Supervised Scene Flow Estimation. - Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher:
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents. - Himangi Mittal, Ajith Abraham, Anuja Arora:
Interpreting Context of Images using Scene Graphs. - Jacek Szybowski, Konrad Kulakowski, Anna Prusak:
New inconsistency indicators for incomplete pairwise comparisons matrices. - Chang Li, Haoyun Feng, Maarten de Rijke:
A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity. - Matheus Werner, Eduardo Sany Laber:
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings. - Saieed Akbari, Hossein Baktash, Amin Behjati, Afshin Behmaram, Mohammad Roghani:
Some Results on Dominating Induced Matchings. - Ugur Kursuncu, Manas Gaur, Amit P. Sheth:
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. - Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang:
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression. - Jayanta Dey, Mohammad Ariful Haque:
Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers. - Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin:
Adaptive Divergence for Rapid Adversarial Optimization. - Niladri S. Chatterji, Behnam Neyshabur, Hanie Sedghi:
The intriguing role of module criticality in the generalization of deep networks. - Marion Maisonobe:
The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019). - Leonardo Babun, Hidayet Aksu, A. Selcuk Uluagac:
A System-level Behavioral Detection Framework for Compromised CPS Devices: Smart-Grid Case. - Susanna F. de Rezende, Jakob Nordström, Kilian Risse, Dmitry Sokolov:
Exponential Resolution Lower Bounds for Weak Pigeonhole Principle and Perfect Matching Formulas over Sparse Graphs. - Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei:
Deep Learning for Visual Tracking: A Comprehensive Survey. - Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine:
Gaussian Embedding of Large-scale Attributed Graphs. - San Gultekin, John W. Paisley:
Risk Bounds for Low Cost Bipartite Ranking. - Aditya Kashi, Siva Nadarajah:
An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids. - Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang:
Multi-Scale Self-Attention for Text Classification. - Koya Sakakibara, Yuto Miyatake:
A fully discrete curve-shortening polygonal evolution law for moving boundary problems. - Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito:
Large-scale text processing pipeline with Apache Spark. - Vatche Ishakian, Azer Bestavros, Assaf J. Kfoury:
MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud. - Yang Ye, Shihao Ji:
Sparse Graph Attention Networks. - Hiroyasu Ando, Hanten Chang:
Road traffic reservoir computing. - Jingwei Hu, Ruiwen Shu:
On the uniform accuracy of implicit-explicit backward differentiation formulas (IMEX-BDF) for stiff hyperbolic relaxation systems and kinetic equations. - Hossein Rastgoftar, Ella M. Atkins:
An Integrative Data-Driven Physics-Inspired Approach to Traffic Congestion Control. - Tao Wang, Shaohui Kuang, Deyi Xiong, António Branco:
Merging External Bilingual Pairs into Neural Machine Translation. - Kecheng Zheng, Zheng-Jun Zha, Wei Wei:
Abstract Reasoning with Distracting Features. - Jianfeng Zhan, Lei Wang, Wanling Gao, Rui Ren:
BenchCouncil's View on Benchmarking AI and Other Emerging Workloads. - Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. - Chhavi Dhiman, Dinesh Kumar Vishwakarma, Paras Aggarwal:
Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues. - Shruti Bhargava, David A. Forsyth:
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models. - Peng Yang, Xing Xi, Tony Q. S. Quek, Jingxuan Chen, Xianbin Cao, Dapeng Oliver Wu:
How Should I Orchestrate Resources of My Slices for Bursty URLLC Service Provision? - Pulkit A. Misra, Jeffrey S. Chase, Johannes Gehrke, Alvin R. Lebeck:
Multi-version Indexing in Flash-based Key-Value Stores. - William Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rañó, KongFatt Wong-Lin:
Optimality and limitations of audio-visual integration for cognitive systems. - Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman:
BLiMP: A Benchmark of Linguistic Minimal Pairs for English. - YeongHyeon Park, Won Seok Park, Yeong Beom Kim, Seok Woong Chang:
Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network. - Cong Thanh Nguyen, Paul D. Walker, Nong Zhang:
Beneficial Investigation of Extended-Range Electric Powertrains with Dual Motor Input and Automated Manual Transmission. - Shuang Song, David Berthelot, Afshin Rostamizadeh:
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels. - G. Sai Sesha Chalapathi, Vinay Chamola, Aabhaas Vaish, Rajkumar Buyya:
Industrial Internet of Things (IIoT) Applications of Edge and Fog Computing: A Review and Future Directions. - Samuel W. F. Earp, Pavit Noinongyao, Justin A. Cairns, Ankush Ganguly:
Face Detection with Feature Pyramids and Landmarks. - (Withdrawn) SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking.
- Meng Qiao, Zheng Shan, Fudong Liu, Wenjie Sun:
A Fast Matrix-Completion-Based Approach for Recommendation Systems. - Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen, Jianzhong Li, Hong Gao:
ExperienceThinking: Hyperparameter Optimization with Budget Constraints. - Zehui Meng, Qi Heng Ho, Zefan Huang, Hongliang Guo, Marcelo H. Ang Jr., Daniela Rus:
Online Multi-Target Tracking for Maneuvering Vehicles in Dynamic Road Context. - Sivan Doveh, Raja Giryes:
DEGAS: Differentiable Efficient Generator Search. - Yabing Zhu, Yanfeng Zhang, Huili Yang, Fangjing Wang:
GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach based on GAN. - Frank Nielsen:
On a generalization of the Jensen-Shannon divergence. - Taihei Oki:
A Generalized Matrix-Tree Theorem for Pfaffian Pairs. - Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan:
Patchy Image Structure Classification Using Multi-Orientation Region Transform. - Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann:
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. - Qiuxiang Zhong, Ryan Wen Liu, Yuping Duan:
Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective. - Ryu Hasegawa:
A categorical reduction system for linear logic. - Ziming Liu, Guangyu Gao, Lin Sun:
IPG-Net: Image Pyramid Guidance Network for Object Detection. - Chenguang Wang:
Meta-Path Constrained Random Walk Inference for Large-Scale Heterogeneous Information Networks. - Yongrae Jo, Chanik Park:
BlockLot: Blockchain based Verifiable Lottery. - Sukavanan Nanjundan, Shreeviknesh Sankaran, C. R. Arjun, G. Paavai Anand:
Identifying the number of clusters for K-Means: A hypersphere density based approach. - Ayush Jaiswal, Rob Brekelmans, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan:
Discovery and Separation of Features for Invariant Representation Learning. - Claudio Gambella, Julien Monteil, Anton Dekusar, Sergio Cabrero Barros, Andrea Simonetto, Yassine Lassoued:
A city-scale IoT-enabled ridesharing platform. - Jungwoo Pyo, Joohyun Lee, Youngjune Park, Tien-Cuong Bui, Sang-Kyun Cha:
An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios. - Chunlin Ji, Haige Shen:
Stochastic Variational Inference via Upper Bound. - Malte Bonart, Anastasiia Samokhina, Gernot Heisenberg, Philipp Schaer:
An Investigation of Biases in Web Search Engine Query Suggestions. - Anup Bhattacharya, Jan Eube, Heiko Röglin, Melanie Schmidt:
Noisy, Greedy and Not So Greedy k-means++. - Yanlin Qian, Alan Lukezic, Matej Kristan, Joni-Kristian Kämäräinen, Jiri Matas:
DAL - A Deep Depth-aware Long-term Tracker. - Javier Fernandez-Anakabe, Ekhi Zugasti Uriguen, Urko Zurutuza Ortega:
An Attribute Oriented Induction based Methodology for Data Driven Predictive Maintenance. - Igor Janiszewski, Dmitry Slugin, Vladimir V. Arlazarov:
Training the Convolutional Neural Network with Statistical Dependence of the Response on the Input Data Distortion. - Jose A. Ordonez-Lucena, Jesús Folgueira Chavarria, Luis M. Contreras, Antonio Pastor:
The use of 5G Non-Public Networks to support Industry 4.0 scenarios. - Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux:
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. - Wenwu Qu, Xiaoyu Chi, Wei Zheng:
KRM-based Dialogue Management. - Vera Traub, Jens Vygen:
An improved approximation algorithm for ATSP. - Henry Howard-Jenkins, Yiwen Li, Victor Adrian Prisacariu:
GroSS: Group-Size Series Decomposition for Whole Search-Space Training. - Casper Boone, Niels de Bruin, Arjan Langerak, Fabian Stelmach:
DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context. - Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. - Benjamin Clavié, Kobi Gal:
EduBERT: Pretrained Deep Language Models for Learning Analytics. - Hongshan Li, Zhongyi Huang:
Artificial boundary method for the solution of pricing European options under the Heston model. - Vitor Hugo Mickus Rodrigues, Lucas Cavalcante, Maelso Bruno Pereira, Fabio Luporini, István Z. Reguly, Gerard Gorman, Samuel Xavier de Souza:
GPU Support for Automatic Generation of Finite-Differences Stencil Kernels. - Alberto Carelli, Cataldo Basile, Alessandro Savino, Alessandro Vallero, Stefano Di Carlo:
Securing Soft IP Cores in FPGA based Reconfigurable Mobile Heterogeneous Systems. - Yuri Safovich, Amos Azaria:
Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling. - Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. - Craig Costello, Benjamin Smith:
The supersingular isogeny problem in genus 2 and beyond. - Ruth Schöbel, Robert Speck:
PFASST-ER: Combining the Parallel Full Approximation Scheme in Space and Time with parallelization across the method. - Roman Feldbauer, Thomas Rattei, Arthur Flexer:
scikit-hubness: Hubness Reduction and Approximate Neighbor Search. - Ángel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez:
Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation. - Neville Kenneth Kitson, Anthony C. Constantinou:
Learning Bayesian networks from demographic and health survey data. - Jaroslaw Byrka, Mateusz Lewandowski, Syed Mohammad Meesum, Joachim Spoerhase, Sumedha Uniyal:
PTAS for Steiner Tree on Map Graphs. - Johan Östman, Alejandro Lancho, Giuseppe Durisi:
Short-Packet Transmission over a Bidirectional Massive MIMO link. - Jules Wulms, Juri Buchmüller, Wouter Meulemans, Kevin Verbeek, Bettina Speckmann:
Spatially and Temporally Coherent Visual Summaries. - Yonghui Bo, Wenjun Cai, Yushun Wang:
A general symplectic integrator for canonical Hamiltonian systems. - Xingjian Li, Jun Fang, Feifei Gao, Hongbin Li:
Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems. - Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin, Karin Verspoor:
SemEval-2017 Task 3: Community Question Answering. - James Pavur, Casey Knerr:
GDPArrrrr: Using Privacy Laws to Steal Identities. - Hossein Khazaei, X. Andy Sun, Yue Zhao:
On the Equilibria and Efficiency of Electricity Markets with Renewable Power Producers and Congestion Constraints. - Edouard Pineau:
Using Laplacian Spectrum as Graph Feature Representation. - Mohammadreza Fani Sani, Mathilde Boltenhagen, Wil M. P. van der Aalst:
Prototype Selection Based on Clustering and Conformance Metrics for Model Discovery. - Talha Bin Masood, Ingrid Hotz:
Continuous Histograms for Anisotropy of 2D Symmetric Piece-wise Linear Tensor Fields. - Sara Rosenthal, Noura Farra, Preslav Nakov:
SemEval-2017 Task 4: Sentiment Analysis in Twitter. - Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan:
Pythia: AI-assisted Code Completion System. - Farnaz Sohrabi, Farkhondeh Jabari, Behnam Mohammadi-Ivatloo, Alireza Soroudi:
Coordination of interdependent natural gas and electricity systems based on information gap decision theory. - Chen Lu, Jing Wang, Shan Luo:
Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor. - Ross Gruetzemacher, Jess Whittlestone:
Defining and Unpacking Transformative AI. - Manzoor Ansari, Syed Arshad Ali, Mansaf Alam:
A Synergistic Approach for Internet of Things and Cloud Integration: Current Research and Future Direction. - Zhiwen Tang, Grace Hui Yang:
Corpus-Level End-to-End Exploration for Interactive Systems. - Siming Zheng, Rahmita Wirza O. K. Rahmat, Fatimah Khalid, Nurul Amelina Nasharuddin:
A Robust Iris Authentication System on GPU-Based Edge Devices using Multi-Modalities Learning Model. - Nicholas Vincent, Yichun Li, Renee Zha, Brent J. Hecht:
Mapping the Potential and Pitfalls of "Data Dividends" as a Means of Sharing the Profits of Artificial Intelligence. - Carlos Gershenson:
Guiding the Self-organization of Cyber-Physical Systems. - Antonio Maria Sudoso, Veronica Piccialli:
Non-Intrusive Load Monitoring with an Attention-based Deep Neural Network. - Tobias Tempel, Claudia Niederée, Christian Jilek, Andrea Ceroni, Heiko Maus, Yannick Runge, Christian Frings:
Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science. - Alice Xiang, Inioluwa Deborah Raji:
On the Legal Compatibility of Fairness Definitions. - Tim Ziemer, Holger Schultheis:
Three Orthogonal Dimensions for Psychoacoustic Sonification. - Jaroslaw Byrka, Mateusz Lewandowski:
Concave connection cost Facility Location and the Star Inventory Routing problem. - Elizaveta Rebrova, Deanna Needell:
Sketching for Motzkin's Iterative Method for Linear Systems. - Cameron R. Wolfe, Keld T. Lundgaard:
Data Augmentation for Deep Transfer Learning. - Yi Huang, Xiaoshan Yang, Changsheng Xu:
Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data. - Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope:
Learning a faceted customer segmentation for discovering new business opportunities at Intel. - Mircea-Dan Hernest:
Experiments with a PCCoder extension. - Ehsan Toreini, Mhairi Aitken, Kovila P. L. Coopamootoo, Karen Elliott, Carlos Gonzalez Zelaya, Aad van Moorsel:
The relationship between trust in AI and trustworthy machine learning technologies. - Valentin Robu, David Flynn, Merlinda Andoni, Maizura Mokhtar:
Consider ethical and social challenges in smart grid research. - Xiaoming Li, Tao Lin:
On Clearing Prices in Matching Markets: A Simple Characterization without Duality. - Xin Mao, Zhaoyu Su, Pin Siang Tan, Jun Kang Chow, Yu-Hsing Wang:
Is Discriminator a Good Feature Extractor? - Yusuke Sekikawa, Teppei Suzuki:
Tabulated MLP for Fast Point Feature Embedding. - Andreas Look, Melih Kandemir:
Differential Bayesian Neural Nets. - Adonai Sant'Anna, Otavio Bueno, Marcio de Franca:
Follow the Flow: sets, relations, and categories as special cases of functions with no domain. - Christopher Goddard:
Policies for constraining the behaviour of coalitions of agents in the context of algebraic information theory. - Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand:
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study. - Majid Majidi, Behnam Mohammadi-Ivatloo, Alireza Soroudi:
Application of information gap decision theory in practical energy problems: A comprehensive review. - Goiuri Peralta, Pablo Garrido, Josu Bilbao, Ramón Agüero, Pedro M. Crespo:
Fog to cloud and network coded based architecture: Minimizing data download time for smart mobility. - Xiaokai Huo, Hailiang Liu:
A positivity-preserving energy stable scheme for a quantum diffusion equation. - Qinmeng Zou, Frédéric Magoulès:
Recent Developments in Iterative Methods for Reducing Synchronization. - Manoj Ghuhan Arivazhagan, Vinay Aggarwal, Aaditya Kumar Singh, Sunav Choudhary:
Federated Learning with Personalization Layers. - Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators. - Ali Varamesh, Tinne Tuytelaars:
Mixture Dense Regression for Object Detection and Human Pose Estimation. - S. Kelbij Star, Giovanni Stabile, Francesco Belloni, Gianluigi Rozza, Joris Degroote:
Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems. - Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Aifu Han, Shengzong Zhou:
Improving Model Drift for Robust Object Tracking. - Slava Voloshynovskiy, Mouad Kondah, Shideh Rezaeifar, Olga Taran, Taras Holotyak, Danilo Jimenez Rezende:
Information bottleneck through variational glasses. - Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun:
On the Delta Method for Uncertainty Approximation in Deep Learning. - Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, Tao Mei:
Mis-classified Vector Guided Softmax Loss for Face Recognition. - Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan:
Low Rank Factorization for Compact Multi-Head Self-Attention. - (Withdrawn) Improved Algorithm for Tolerant Junta Testing.
- Peng Xiao, Bin Liao, Nikos Deligiannis:
DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements. - Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles:
Automatic Generation of Headlines for Online Math Questions. - (Withdrawn) Distributional Locational Marginal Pricing Based Optimization for Electric Vehicle Charging Management.
- Verónica Quintuna Rodriguez, Fabrice Guillemin:
Contribution to the design and the implementation of a Cloud Radio Access Network. - Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, Kyomin Jung:
Attentive Modality Hopping Mechanism for Speech Emotion Recognition. - Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. - Nora Vogt:
CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data. - Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo:
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization. - Fei Li, Hong Yu:
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network. - Van Tung Pham, Haihua Xu, Yerbolat Khassanov, Zhiping Zeng, Eng Siong Chng, Chongjia Ni, Bin Ma, Haizhou Li:
Independent language modeling architecture for end-to-end ASR. - Makoto Nakatsuji, Sohei Okui:
Conclusion-Supplement Answer Generation for Non-Factoid Questions. - Fredrik Dahlqvist, Rocco Salvia, George A. Constantinides:
A Probabilistic Approach to Floating-Point Arithmetic. - Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. - Kaden Griffith, Jugal Kalita:
Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations. - Matt Chapman-Rounds, Marc-Andre Schulz, Erik Pazos, Konstantinos Georgatzis:
EMAP: Explanation by Minimal Adversarial Perturbation. - Ehsan Kharazmi, Zhongqiang Zhang, George Em Karniadakis:
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations. - Rui Lebre, Eduardo Pinho, Jorge Miguel Silva, Carlos Costa:
Dicoogle Framework for Medical Imaging Teaching and Research. - Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Oliver Wu:
Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring. - Nils Lukas, Yuxuan Zhang, Florian Kerschbaum:
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples. - Erik Burman, Ali Feizmohammadi, Arnaud Münch, Lauri Oksanen:
Space time stabilized finite element methods for a unique continuation problem subject to the wave equation. - Kehinde Owoeye:
Learning to smell for wellness. - Pietro Ghezzi, Peter G. Bannister, Gonzalo Casino, Alessia Catalani, Michel Goldman, Jessica Morley, Marie Neunez, Andreu Prados, Mariarosaria Taddeo, Tania Vanzolini, Luciano Floridi:
Online information of vaccines: information quality is an ethical responsibility of search engines. - Luca Chiaraviglio, Giuseppe Bianchi, Nicola Blefari-Melazzi, Marco Fiore:
Will the Proliferation of 5G Base Stations Increase the Radio-Frequency "Pollution"? - Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer:
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation. - Ta-Chung Chi, Mihail Eric, Seokhwan Kim, Minmin Shen, Dilek Hakkani-Tür:
Just Ask: An Interactive Learning Framework for Vision and Language Navigation. - Markku-Juhani O. Saarinen:
Mobile Energy Requirements of the Upcoming NIST Post-Quantum Cryptography Standards. - Christos N. Efrem, Athanasios D. Panagopoulos:
Dynamic Energy-Efficient Power Allocation in Multibeam Satellite Systems. - Ingo Müller, Renato Marroquín, Gustavo Alonso:
Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure. - Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. - Grzegorz Fabianski:
Properties of nowhere dense graph classes related to independent set problem. - Yixiang Wang, Feng Wu:
Multi-Agent Deep Reinforcement Learning with Adaptive Policies. - Sumeet Batra, John Klingner, Nikolaus Correll:
Augmented Reality for Human-Swarm Interaction in a Swarm-Robotic Chemistry Simulation. - Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap:
LOGAN: Latent Optimisation for Generative Adversarial Networks. - Shubhi Tyagi, Marco Nicolis, Jonas Rohnke, Thomas Drugman, Jaime Lorenzo-Trueba:
Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection. - Surabhi Punjabi, Harish Arsikere, Sri Garimella:
Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition. - Bechir Hamdaoui, Mohamed Alkalbani, Taieb Znati, Ammar Rayes:
Unleashing the Power of Participatory IoT with Blockchains for Increased Safety and Situation Awareness of Smart Cities. - Rizal Fathony, J. Zico Kolter:
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. - Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre, Allam Dinesh Reddy:
GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks. - Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang:
Continuous Graph Neural Networks. - Youtian Lin, Pengming Feng, Jian Guan:
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection. - Gerhard P. Fettweis, Meik Dörpinghaus, Sandra Bender, Lukas Landau, Peter Neuhaus, Martin Schlüter:
Zero Crossing Modulation for Communication with Temporally Oversampled 1-Bit Quantization. - Yufan Zhou, Changyou Chen, Jinhui Xu:
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling. - Samuel Drews, Aws Albarghouthi, Loris D'Antoni:
Proving Data-Poisoning Robustness in Decision Trees. - Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein:
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. - Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu:
Core-Periphery Structure in Directed Networks. - Nelda Kote, Marenglen Biba, Jenna Kanerva, Samuel Rönnqvist, Filip Ginter:
Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models. - Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Adversarial normalization for multi domain image segmentation. - Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. - Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu:
View-Invariant Probabilistic Embedding for Human Pose. - Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang:
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints. - Mahesh Narayanamurthi, Adrian Sandu:
Efficient implementation of partitioned stiff exponential Runge-Kutta methods. - Anthony M. Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim:
TutorialVQA: Question Answering Dataset for Tutorial Videos. - Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li:
Estimating Numerical Distributions under Local Differential Privacy. - Fabian Groh, Lukas Ruppert, Patrick Wieschollek, Hendrik P. A. Lensch:
GGNN: Graph-based GPU Nearest Neighbor Search. - Xi Lin, Dingyi Sun, Tzu-Yuan Lin, Ryan M. Eustice, Maani Ghaffari Jadidi:
A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation. - Yu Guo, Milos Hasan, Lingqi Yan, Shuang Zhao:
A Bayesian Inference Framework for Procedural Material Parameter Estimation. - Bohao Wu, Xue Bai:
About how to make novel Visible by using Newly Translated Tale of Genji as an example. - Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum:
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision. - Matej Martinc, Petra Kralj Novak, Senja Pollak:
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift. - Nicholas R. J. Frick, Felix Brünker, Björn Ross, Stefan Stieglitz:
Towards Successful Collaboration: Design Guidelines for AI-based Services enriching Information Systems in Organisations. - João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar:
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. - Qi Chen, Sihai Tang, Jacob Hochstetler, Jingda Guo, Yuan Li, Jinbo Xiong, Qing Yang, Song Fu:
Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks. - Yong Deng, Min Dong:
Structure of Optimal Cache Placement for Coded Caching with Heterogeneous Demands. - Seyyed Ali Hashemi, Nghia Doan, Thibaud Tonnellier, Warren J. Gross:
Deep-Learning-Aided Successive-Cancellation Decoding of Polar Codes. - J. Campbell Scott, Thomas F. Hayes, Ahmet S. Ozcan, Winfried W. Wilcke:
Simulation of neural function in an artificial Hebbian network. - Avrim Blum, Kevin Stangl:
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? - Shen Zhang, Fei Ye, Bingnan Wang, Thomas G. Habetler:
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders. - Rikhav Shah, Sandeep Silwal:
Using Dimensionality Reduction to Optimize t-SNE. - Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco, Davide Maltoni:
Latent Replay for Real-Time Continual Learning. - Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le:
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices. - Fabio Burco, Marino Miculan, Marco Peressotti:
Towards a Formal Model for Composable Container Systems. - David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar:
Diagnostic Curves for Black Box Models. - Ngoc C. Lê, Ngoc-Yen Nguyen, Anh-Duong Trinh:
On the Vietnamese Name Entity Recognition: A Deep Learning Method Approach. - Vijini Liyanage, Surangika Ranathunga:
A Multi-language Platform for Generating Algebraic Mathematical Word Problems. - Dipankar Chakrabarti, Neelam Patodia, Udayan Bhattacharya, Indranil Mitra, Satyaki Roy, Jayanta Mandi, Nandini Roy, Prasun Nandy:
Use of Artificial Intelligence to Analyse Risk in Legal Documents for a Better Decision Support. - Larisa Beilina, I. Gainova:
Time-adaptive optimization in a parameter identification problem of HIV infection. - Preslav Nakov:
Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics. - Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu:
Importance-Aware Learning for Neural Headline Editing. - Karol Chlasta, Krzysztof Wolk, Izabela Krejtz:
Automated speech-based screening of depression using deep convolutional neural networks. - Jeremy Gordon, David Rawlinson, Subutai Ahmad:
Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling. - Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha:
Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs. - Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Deep Bayesian Active Learning for Multiple Correct Outputs. - Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin:
Discovering Opioid Use Patterns from Social Media for Relapse Prevention. - Tianqi Liu, Qizhan Shao:
BERT for Large-scale Video Segment Classification with Test-time Augmentation. - Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin:
Addict Free - A Smart and Connected Relapse Intervention Mobile App. - Paulo Mann, Aline Paes, Elton H. Matsushima:
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data. - Claudia Latella:
Human Whole-Body Dynamics Estimation for Enhancing Physical Human-Robot Interaction. - Pitoyo Hartono:
Mixing autoencoder with classifier: conceptual data visualization. - Fei Huang, Hao Huang:
Event Ticket Price Prediction with Deep Neural Network on Spatial-Temporal Sparse Data. - David Bamman, Olivia Lewke, Anya Mansoor:
An Annotated Dataset of Coreference in English Literature. - Changqi Chen:
An Empirical Investigation of Correlation between Code Complexity and Bugs. - Basilis Mamalis:
Prolonging Network Lifetime in Wireless Sensor Networks with Path-Constrained Mobile Sink. - Eduardo Betine Bucker, Antonio José Grandson Busson, Ruy Luiz Milidiú, Sérgio Colcher, Bruno Pereira Dias, André Bulcão:
A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification. - Yizheng Chen, Shiqi Wang, Weifan Jiang, Asaf Cidon, Suman Jana:
Training Robust Tree Ensembles for Security. - Matt Groff:
The Polynomial Transform. - Octavia-Maria Sulea, Steve Young:
Unsupervised Inflection Generation Using Neural Language Modeling. - Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. - Thi Huyen Chau Nguyen, Werner Grass, Klaus Jansen:
Exact Polynomial Time Algorithm for the Response Time Analysis of Harmonic Tasks with Constrained Release Jitter. - Brighter Agyemang, Wei-Ping Wu, Michael Y. Kpiebaareh, Ebenezer Nanor:
Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints. - He He, Dongrui Wu:
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach. - Zihan Liu, Xiao Zhang, Dongrui Wu:
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs. - Ravit Dotan, Smitha Milli:
Value-laden Disciplinary Shifts in Machine Learning. - Canqun Xiang, Shishun Tian, Wenbin Zou, Chen Xu:
SAIS: Single-stage Anchor-free Instance Segmentation. - Jaehyun Nam, Hyesun Chung, Young Ah Seong, Honggu Lee:
A New Terrain in HCI: Emotion Recognition Interface using Biometric Data for an Immersive VR Experience. - Qin Shi, Xiaowei Cui, Wei Li, Yu Xia, Mingquan Lu:
Visual-UWB Navigation System for Unknown Environments. - Yi Zhang, Xinyue Wei, Weichao Qiu, Zihao Xiao, Gregory D. Hager, Alan L. Yuille:
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition. - Xin Ma, Guorong Wu, Won Hwa Kim:
Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity. - Qin Shi, Xiaowei Cui, Sihao Zhao, Jian Wen, Mingquan Lu:
Range-only Collaborative Localization for Ground Vehicles. - Stefan Henneking, Jacob Grosek, Leszek F. Demkowicz:
A DPG Maxwell approach for studying nonlinear thermal effects in active gain fiber amplifiers. - Kevin Lu, Igor Mordatch, Pieter Abbeel:
Adaptive Online Planning for Continual Lifelong Learning. - Tiancheng Jin, Haipeng Luo:
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition. - Buddhima Gamlath, Vadim Grinberg:
Approximating Star Cover Problems. - S. Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon:
Learning to Super Resolve Intensity Images from Events. - Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu:
Structure Learning with Similarity Preserving. - Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu:
Towards Understanding the Spectral Bias of Deep Learning. - Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu:
Multi-view Subspace Clustering via Partition Fusion. - Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation from Dense Detections. - Lifeng Tan, Cong Jin, Zhiyuan Cheng, Xin Lv, Leiyu Song:
Music Style Classification with Compared Methods in XGB and BPNN. - Mahesh Subedar, Nilesh A. Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo:
Deep Probabilistic Models to Detect Data Poisoning Attacks. - Sheikh Ariful Islam:
On the (In)security of Approximate Computing Synthesis. - Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud:
Rank Aggregation via Heterogeneous Thurstone Preference Models. - Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo:
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation. - Austin K. Williams, Jack Peterson:
Decentralized Common Knowledge Oracles. - Carroll L. Wainwright, Peter Eckersley:
SafeLife 1.0: Exploring Side Effects in Complex Environments. - Daan van Esch, Elnaz Sarbar, Tamar Lucassen, Jeremy O'Brien, Theresa Breiner, Manasa Prasad, Evan Crew, Chieu Nguyen, Françoise Beaufays:
Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard. - Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song:
WaveFlow: A Compact Flow-based Model for Raw Audio. - Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Modelling Semantic Categories using Conceptual Neighborhood. - Xiangyang Zhi, Qingwen Xu, Sören Schwertfeger:
Evaluation of Smartphone IMUs for Small Mobile Search and Rescue Robots. - Qinmeng Zou, Frédéric Magoulès:
On Extensions of Limited Memory Steepest Descent Method. - Seri Nishimoto, Takashi Horiyama, Tomohiro Tachi:
Geodesic Folding of Tetrahedron. - Yifei Yang, Shuowen Zhang, Rui Zhang:
IRS-Enhanced OFDMA: Joint Resource Allocation and Passive Beamforming Optimization. - Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim:
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. - Xiaoyi Qin, Hui Bu, Ming Li:
HI-MIA : A Far-field Text-Dependent Speaker Verification Database and the Baselines. - Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim:
EDAS: Efficient and Differentiable Architecture Search. - Patrick H. Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai:
Overcoming Catastrophic Forgetting by Generative Regularization. - Jaemoon Lee, Hoda Shajari:
A Hidden Variables Approach to Multilabel Logistic Regression. - Qinge Xie, Tiancheng Guo, Yang Chen, Yu Xiao, Xin Wang, Ben Y. Zhao:
"How do urban incidents affect traffic speed?" A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction. - Manouchehr Zaker:
On irreversible spread of influence in edge-weighted graphs. - Maxence Reberol, Alexandre Chemin, Jean-François Remacle:
Multiple Approaches to Frame Field Correction for CAD Models. - Dvir Ginzburg, Dan Raviv:
Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes. - Tom Willaert, Sven Banisch, Paul Van Eecke, Katrien Beuls:
Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian. - Jonathan Lee, Ching-An Cheng, Ken Goldberg, Byron Boots:
Continuous Online Learning and New Insights to Online Imitation Learning. - Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson:
Explainable artificial intelligence model to predict acute critical illness from electronic health records. - Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik:
Optimizing the energy consumption of spiking neural networks for neuromorphic applications. - Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry:
The Knowledge Within: Methods for Data-Free Model Compression. - Christian Schön, Jens Dittrich:
Make Thunderbolts Less Frightening - Predicting Extreme Weather Using Deep Learning. - Sören Schwertfeger, Tianyan Yu:
Room Detection for Topological Maps. - Davide Magrin, Martina Capuzzo, Andrea Zanella, Michele Zorzi:
A Complete LoRaWAN Model for Single-Gateway Scenarios. - Rocco De Nicola, Gianluigi Ferrari, Rosario Pugliese, Francesco Tiezzi:
A Formal Approach to the Engineering of Domain-Specific Distributed Systems. - Rio Mukaide, Kenjiro Tadakuma, Masahiro Watanabe, Yu Ozawa, Tomoya Takahashi, Masashi Konyo, Satoshi Tadokoro:
Radial-Layer Jamming Mechanism for String Configuration. - Tori Shimizu, Kenjiro Tadakuma, Masahiro Watanabe, Eri Takane, Masashi Konyo, Satoshi Tadokoro:
Internally-Balanced Magnetic Mechanisms Using Magnetic Spring for Producing Large Amplified Clamping Force. - R. Q. Wang, W. Z. Wang, D. Z. Zhao, G. H. Chen:
Scene recognition based on DNN and game theory with its applications in human-robot interaction. - Qingwen Xu, Sören Schwertfeger:
Comparison and Evaluation of 2D and 3D Range Sensors. - Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Wei-Shi Zheng, Xing Sun:
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. - Quoc Hung Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Predicting Soil pH by Using Nearest Fields. - Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard:
Joint Graph-based Depth Refinement and Normal Estimation. - Yulei Liao, Pingbing Ming:
Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions. - Zhiyuan Jiang, Siyu Fu, Sheng Zhou, Zhisheng Niu, Shunqing Zhang, Shugong Xu:
AI-Assisted Low Information Latency Wireless Networking. - Arren Glover, Alan B. Stokes, Steve B. Furber, Chiara Bartolozzi:
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration. - Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. - Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, Thomas B. Moeslund:
A Context-Aware Loss Function for Action Spotting in Soccer Videos. - Qinge Xie, Qingyuan Gong, Xinlei He, Yang Chen, Xin Wang, Haitao Zheng, Ben Y. Zhao:
Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions. - Jingyue Lu, M. Pawan Kumar:
Neural Network Branching for Neural Network Verification. - Paulo Oliva, Chuangjie Xu:
On the Herbrand Functional Interpretation. - Yahia Alghorani, Ahmed Salim Chekkouri, Djabir Chekired, Sami Muhaidat, Samuel Pierre, Mark F. Flanagan:
Improved S-AF and S-DF Relaying Schemes using Machine Learning based Power Allocation over Cascaded Rayleigh Fading Channels. - Farshad Moradi, Hooman Farkhani, Behzad Zeinali, Hamdam Ghanatian, Johan Michel Alain Pelloux-Prayer, Tim Böhnert, Mohammad Zahedinejad, Hadi Heidari, Vahid Nabaei, Ricardo Ferreira, Johan Åkerman, Jens Kargaard Madsen:
Spin-Orbit-Torque-based Devices, Circuits and Architectures. - Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li:
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification. - Kevin Haninger, Abner Asignacion, Sehoon Oh:
Safe rendering of high impedance on a series-elastic actuator with disturbance observer-based torque control. - André Gaul, Ismail Khoffi, Jörg Liesen, Torsten Stüber:
Mathematical Analysis and Algorithms for Federated Byzantine Agreement Systems. - Christian Menard, Andres Goens, Marten Lohstroh, Jerónimo Castrillón:
Achieving Determinism in Adaptive AUTOSAR. - Ektor Vrettakis, Vassilis Kourtis, Akrivi Katifori, Manos Karvounis, Christos Lougiakis, Yannis E. Ioannidis:
Narralive - Creating and experiencing mobile digital storytelling in cultural heritage. - Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. - Jag Mohan Singh, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch:
Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance. - Sung-Kwon Choo, Wonkyo Seo, Nam Ik Cho:
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation. - Mehmet Utkan Gezer:
Windable Heads & Recognizing NL with Constant Randomness. - Florian Auer, Michael Felderer:
Characteristics of an Online Controlled Experiment: Preliminary Results of a Literature Review. - Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. - Taesun Moon, Parul Awasthy, Jian Ni, Radu Florian:
Towards Lingua Franca Named Entity Recognition with BERT. - Ryan Vaughn, Tyrus Berry, Harbir Antil:
Diffusion Maps for Embedded Manifolds with Boundary with Applications to PDEs. - Elahe Arani, Shabbir Marzban, Andrei Pata, Bahram Zonooz:
RGPNet: A Real-Time General Purpose Semantic Segmentation. - Amit Kumar Verma, Narendra Kumar, Diksha Tiwari:
System of Lane-Emden equations as IVPs BVPs and Four Point BVPs & Computation with Haar Wavelets. - Ronan L. Keane, Huaizhu Oliver Gao:
Increasing Traffic Throughput by Controlling Autonomous Vehicles at Low Penetration Rates. - Harald Hofstätter, Winfried Auzinger, Othmar Koch:
An Algorithm for Computing Coefficients of Words in Expressions Involving Exponentials and its Application to the Construction of Exponential Integrators. - Anton Trusov, Elena Limonova:
The Analysis of Projective Transformation Algorithms for Image Recognition on Mobile Devices. - Jag Mohan Singh, Sushma Venkatesh, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition. - Jie Zhong, Daniel W. C. Ho, Jianquan Lu:
A New Framework for Pinning Control of Boolean Networks. - Guillaume Lample, François Charton:
Deep Learning for Symbolic Mathematics. - Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Optimal Laplacian regularization for sparse spectral community detection. - Beate Bollig, Martin Farenholtz:
On the relation between structured d-DNNFs and SDDs. - Zirui Wang, Shuda Li, Henry Howard-Jenkins, Victor Adrian Prisacariu, Min Chen:
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation. - Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage. - Jiaman Wu, Zhiqi Wang, Chenye Wu, Kui Wang, Yang Yu:
A Data-driven Storage Control Framework for Dynamic Pricing. - Aleksey Buzmakov, Daria Semenova, Maria Temirkaeva:
The Comparison of Methods for Individual Treatment Effect Detection. - Xu Shen, Xinmei Tian, Anfeng He, Shaoyan Sun, Dacheng Tao:
Transform-Invariant Convolutional Neural Networks for Image Classification and Search. - Daniel C. McNamee:
Hierarchical model-based policy optimization: from actions to action sequences and back. - Jiaqi Zhang, Beilun Wang:
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models. - Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece:
Sanity Checks for Saliency Metrics. - Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring:
Assessing the Robustness of Visual Question Answering. - Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance. - Kamran Ali, Charles E. Hughes:
Facial Expression Representation Learning by Synthesizing Expression Images. - Alexander Fengler, Saeid Haghighatshoar, Peter Jung, Giuseppe Caire:
Grant-Free Massive Random Access With a Massive MIMO Receiver. - Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti:
Age of Information in Random Access Channels. - Francesco Contaldo, Patrick Trentin, Roberto Sebastiani:
From MiniZinc to Optimization Modulo Theories, and Back (Extended Version). - Hongliang Zhang, Boya Di, Lingyang Song, Zhu Han:
Reconfigurable Intelligent Surfaces assisted Communications with Limited Phase Shifts: How Many Phase Shifts Are Enough? - Shanthanu S. Rai, Rohit M. P, Sreepathi Pai:
A Hybrid Graph Coloring Algorithm for GPUs. - Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique. - Christine Bauer:
Context Adaptivity as Enabler for Meaningful Pervasive Advertising. - Ishai Rosenberg, Guillaume Sicard, Eli David:
End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware. - Ido Cohen, Eli David, Nathan S. Netanyahu:
Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images. - Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao Kenneth Huang, Lun-Wei Ku:
Knowledge-Enriched Visual Storytelling. - Xianghao Yu, Dongfang Xu, Ying Sun, Derrick Wing Kwan Ng, Robert Schober:
Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces. - Christian Gebbe:
Nonintrusive Load Monitoring for Machines used in Manufacturing. - Marek Rosa, Olga Afanasjeva, Simon Andersson, Joseph Davidson, Nicholas Guttenberg, Petr Hlubucek, Martin Poliak, Jaroslav Vitku, Jan Feyereisl:
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication). - Adam Kasperski, Pawel Zielinski:
Soft robust solutions to possibilistic optimization problems. - Martin Thomas Horsch, Silvia Chiacchiera, Michael A. Seaton, Ilian T. Todorov, Karel Sindelka, Martin Lísal, Barbara Andreon, Esteban Bayro Kaiser, Gabriele Mogni, Gerhard Goldbeck, Ralf Kunze, Georg Summer, Andreas Fiseni, Hauke Brüning, Peter Schiffels, Welchy Leite Cavalcanti:
Ontologies for the Virtual Materials Marketplace. - Oren Barkan:
Multiscale Self Attentive Convolutions for Vision and Language Modeling. - Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger:
Convolutional STN for Weakly Supervised Object Localization and Beyond. - Chad E. Brown, Thibault Gauthier:
Self-Learned Formula Synthesis in Set Theory. - Qing Ke:
The citation disadvantage of clinical research. - Nicolas Beldiceanu, Mats Carlsson, Claude-Guy Quimper, Maria-Isabel Restrepo-Ruiz:
Classifying Pattern and Feature Properties to Get a Θ(n) Checker and Reformulation for Sliding Time-Series Constraints. - Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QUEST: Quantized embedding space for transferring knowledge. - Adrian Dumitrescu:
On the Shortest Separating Cycle. - Kevin Buchin, Sariel Har-Peled, Dániel Oláh:
Sometimes Reliable Spanners of Almost Linear Size. - Zachary Chase:
Experimental Evidence for Asymptotic Non-Optimality of Comb Adversary Strategy. - Eraldo Pereira Marinho:
On the connection between Deutsch-Jozsa algorithm and bent functions. - Joel Michelson, Joshua H. Palmer, Aneesha Dasari, Maithilee Kunda:
Learning Spatially Structured Image Transformations Using Planar Neural Networks. - Qiao Lan, Zezhong Zhang, Yuqing Du, Zhenyi Lin, Kaibin Huang:
An Introduction to Communication Efficient Edge Machine Learning. - Saba Ahmadian, Farhad Taheri, Hossein Asadi:
Evaluating Reliability of SSD-Based I/O Caches in Enterprise Storage Systems. - Oyku Melikoglu, Oguz Ergin, Behzad Salami, Julian Pavon, Osman S. Unsal, Adrián Cristal:
A Novel FPGA-Based High Throughput Accelerator For Binary Search Trees. - Jingbin Liu, Xinyang Gu, Dexiang Zhang, Shuai Liu:
On-policy Reinforcement Learning with Entropy Regularization. - Novak Boskov, Mihailo Isakov, Michel A. Kinsy:
Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design. - Maksim Jenihhin, Said Hamdioui, Matteo Sonza Reorda, Milos Krstic, Peter Langendörfer, Christian Sauer, Anton Klotz, Michael Hübner, Jörg Nolte, Heinrich Theodor Vierhaus, Georgios N. Selimis, Dan Alexandrescu, Mottaqiallah Taouil, Geert Jan Schrijen, Jaan Raik, Luca Sterpone, Giovanni Squillero, Zoya Dyka:
RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems. - Shuai Zhao, Piotr Dziurzanski, Leandro Soares Indrusiak:
Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation. - Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez, S. Nabavi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, Daniel Ödman, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, Kevin Mika, A. Hüffmeier, Th. Jungeblu, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber:
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul:
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. - Mohammad Ostadijafari, Rahul Ranjan Jha, Anamika Dubey:
Conservation Voltage Reduction by Coordinating Legacy Devices, Smart Inverters and Battery. - Alex Zihao Zhu, Ziyun Wang, Kaung Khant, Kostas Daniilidis:
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras. - Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. - Karl Cobbe, Christopher Hesse, Jacob Hilton, John Schulman:
Leveraging Procedural Generation to Benchmark Reinforcement Learning. - Ehab Hassan:
CheasePy. - Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Towards an Integrative Educational Recommender for Lifelong Learners. - Dmitry Kovalev, Konstantin Mishchenko, Peter Richtárik:
Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates. - Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. - Danijar Hafner, Timothy P. Lillicrap, Jimmy Ba, Mohammad Norouzi:
Dream to Control: Learning Behaviors by Latent Imagination. - Volkan Dedeoglu, Ali Dorri, Raja Jurdak, Regio A. Michelin, Roben Castagna Lunardi, Salil S. Kanhere, Avelino F. Zorzo:
A journey in applying blockchain for cyberphysical systems. - Danial A. Muhammed, Soran A. M. Saeed, Tarik A. Rashid:
A Simulation Model for Pedestrian Crowd Evacuation Based on Various AI Techniques. - Sariel Har-Peled, Mitchell Jones:
Fast Algorithms for Geometric Consensuses. - Michael Riesch, Tien Dat Nguyen, Christian Jirauschek:
bertha: Project Skeleton for Scientific Software. - Man-Chung Yeung, Long Lee:
A FEAST variant incorporated with a power iteration. - Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío, Jesus Malo:
Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications. - Samuel K. Ainsworth, Matt Barnes, Siddhartha S. Srinivasa:
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation. - Eric Heiden, Ziang Liu, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. - Daniel Zhengyu Huang, Philip Avery, Charbel Farhat, Jason Rabinovitch, Armen Derkevorkian, Lee D. Peterson:
Modeling, simulation and validation of supersonic parachute inflation dynamics during Mars landing. - Michael Hazoglou, Todd Hylton:
Integrating Motion into Vision Models for Better Visual Prediction. - Robert Guirado, Hyoukjun Kwon, Eduard Alarcón, Sergi Abadal, Tushar Krishna:
Understanding the Impact of On-chip Communication on DNN Accelerator Performance. - Gangshan Jing, Changhuang Wan, Ran Dai:
Angle-Based Sensor Network Localization. - Siavash Haghiri, Leena Chennuru Vankadara, Ulrike von Luxburg:
Large scale representation learning from triplet comparisons. - Siddhant Bhambri, Sumanyu Muku, Avinash Tulasi, Arun Balaji Buduru:
A Study of Black Box Adversarial Attacks in Computer Vision. - Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-dimensional Indexes. - Petra Barancíková, Ondrej Bojar:
COSTRA 1.0: A Dataset of Complex Sentence Transformations. - Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke:
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes. - Lisa Jin, Daniel Gildea:
AMR-to-Text Generation with Cache Transition Systems. - Alexander Matt Turner:
Optimal Farsighted Agents Tend to Seek Power. - Zirui Xu, Zhao Yang, Jinjun Xiong, Jianlei Yang, Xiang Chen:
ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices. - Luca Bugliari Armenio, Lorenzo Fagiano, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Scenario optimization for optimal training of Echo State Networks. - Abdul Wahab, Phil Maguire:
Smart Parking: IoT and Blockchain. - Dayeol Lee, Dongha Jung, Ian T. Fang, Chia-Che Tsai, Raluca Ada Popa:
An Off-Chip Attack on Hardware Enclaves via the Memory Bus. - Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. - Xiaotian Liu, Pengyi Shi, Sarra M. Alqahtani, Victor Paúl Pauca, Miles R. Silman:
Robustness-Driven Exploration with Probabilistic Metric Temporal Logic. - Nicolas Garneau, Mathieu Godbout, David Beauchemin, Audrey Durand, Luc Lamontagne:
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well. - Charan D. Prakash, Lina J. Karam:
It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality. - Abhishek Kesarwani, Pabitra Mohan Khilar:
Development of trust based access control models using fuzzy logic in cloud computing. - Xin Fang, Stratis Ioannidis, Miriam Leeser:
SIFO: Secure Computational Infrastructure using FPGA Overlays. - Jorge Peña Queralta, Tomi Westerlund:
Managing Collaboration in Heterogeneous Swarms of Robots with Blockchains. - Aliya Tabassum, Wadha Lebda:
Security Framework for IoT Devices against Cyber-Attacks. - (Withdrawn) Cross-Blockchain Databases for Governments: The Technology for Public Registries and Smart Laws.
- Jonas Tjomsland, Ali Shafti, A. Aldo Faisal:
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions. - Davide Dardari:
Communicating with Large Intelligent Surfaces: Fundamental Limits and Models. - Krystian Radlak, Lukasz Malinski, Bogdan Smolka:
Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images. - Wanchun Liu, Xiangyun Zhou, Salman Durrani, Petar Popovski:
SWIPT with Practical Modulation and RF Energy Harvesting Sensitivity. - Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell:
Fast Intent Classification for Spoken Language Understanding. - Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister:
Distance-Based Learning from Errors for Confidence Calibration. - Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao:
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition. - Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox:
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. - Marco A. C. Simões, Robson Marinho da Silva, Tatiane Nogueira:
A Dataset Schema for Cooperative Learning from Demonstration in Multi-robots Systems. - Fuyang Zhang, Nelson Nauata, Yasutaka Furukawa:
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction. - Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui:
Deep Physiological State Space Model for Clinical Forecasting. - Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang:
Universal approximation of symmetric and anti-symmetric functions. - Thomas Ketseoglou, Matthew C. Valenti, Ender Ayanoglu:
Millimeter Wave Massive MIMO Downlink Per-Group Communications with Hybrid Linear Precoding. - Mingjun Duan, Carlos Fasola, Sai Krishna Rallabandi, Rodolfo M. Vega, Antonios Anastasopoulos, Lori S. Levin, Alan W. Black:
A Resource for Computational Experiments on Mapudungun. - Rongxiang Weng, Heng Yu, Shujian Huang, Shanbo Cheng, Weihua Luo:
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation. - Mithilesh Kumar:
Faster Lattice Enumeration. - Abulikemu Abuduweili, Changliu Liu:
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy. - Songtao Lu, Yawen Zhang, Yunlong Wang, Christina Mack:
Learn Electronic Health Records by Fully Decentralized Federated Learning. - Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu:
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets. - Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels:
SquirRL: Automating Attack Discovery on Blockchain Incentive Mechanisms with Deep Reinforcement Learning. - Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley:
Addressing Marketing Bias in Product Recommendations. - Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. - Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang:
Adversarial Domain Adaptation with Domain Mixup. - Xiulong Yang, Shihao Ji:
Learning with Multiplicative Perturbations. - Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. - Evyatar Illouz, Eli David, Nathan S. Netanyahu:
Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks. - Ming-Min Zhao, Qingqing Wu, Min-Jian Zhao, Rui Zhang:
Intelligent Reflecting Surface Enhanced Wireless Network: Two-timescale Beamforming Optimization. - Yanou Ramon, David Martens, Foster J. Provost, Theodoros Evgeniou:
Counterfactual Explanation Algorithms for Behavioral and Textual Data. - Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire:
Domain-independent Dominance of Adaptive Methods. - Lars Ruthotto, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung:
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. - Evgeni Stefchov, Galia Angelova, Preslav Nakov:
Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts. - Weiwei Cai, Zhanguo Wei:
Diversity-Generated Image Inpainting with Style Extraction. - Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya:
Knee Cartilage Segmentation Using Diffusion-Weighted MRI. - Yuval Bahat, Tomer Michaeli:
Explorable Super Resolution. - Ignacio Serna, Aythami Morales, Julian Fiérrez, Manuel Cebrián, Nick Obradovich, Iyad Rahwan:
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics. - Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu, Guanghui Wang:
Object Detection with Convolutional Neural Networks. - Vincent Neiger, Éric Schost:
Computing syzygies in finite dimension using fast linear algebra. - Dominik Linzner, Heinz Koeppl:
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes. - Chengqi Deng, Chengzhu Yu, Heng Lu, Chao Weng, Dong Yu:
PitchNet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network. - Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Lei Zhang, Aakash Patil, Arindam Basu:
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS. - Telikepalli Kavitha, Tamás Király, Jannik Matuschke, Ildikó Schlotter, Ulrike Schmidt-Kraepelin:
Popular Branchings and Their Dual Certificates. - Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, Matthias Weidlich:
Secure Multi-Party Computation for Inter-Organizational Process Mining. - Byungju Kim, Junmo Kim:
Adjusting Decision Boundary for Class Imbalanced Learning. - Qiongxing Tao, Xiangfeng Luo, Hao Wang:
Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts. - Anuj Shanker Saxena, Siddharth Dawar, Vikram Goyal, Debajyoti Bera:
Mining Top-k Trajectory-Patterns from Anonymized Data. - Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha:
StarGAN v2: Diverse Image Synthesis for Multiple Domains. - Abel Gawel, Hermann Blum, Johannes Pankert, Koen Krämer, Luca Bartolomei, Selen Ercan, Farbod Farshidian, Margarita Chli, Fabio Gramazio, Roland Siegwart, Marco Hutter, Timothy Sandy:
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction. - Yiming He, Wei Hu, Siyuan Yang, Xiaochao Qu, Pengfei Wan, Zongming Guo:
GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs. - Munyque Mittelmann, Laurent Perrussel:
Game Description Logic with Integers: A GDL Numerical Extension. - Serkut Ayvasik, H. Murat Gürsu, Wolfgang Kellerer:
Veni Vidi Dixi: Reliable Wireless Communication with Depth Images. - Zheng-cong Fei:
Better Understanding Hierarchical Visual Relationship for Image Caption. - Ekaterina I. Panfilova, Mikhail A. Aliev, Irina A. Kunina, Vasiliy V. Postnikov, Dmitry P. Nikolaev:
A Method of Detecting End-To-End Curves of Limited Curvature. - Julia Shemiakina, Ivan Konovalenko, Daniil V. Tropin, Igor Faradjev:
Fast Projective Image Rectification for Planar Objects with Manhattan Structure. - Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao:
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning. - Jibril Frej, Didier Schwab, Jean-Pierre Chevallet:
WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset. - Sandra Alves, Delia Kesner, Daniel Ventura:
A Quantitative Understanding of Pattern Matching. - Irina A. Kunina, Mikhail A. Aliev, N. V. Arlazarov, Dmitry V. Polevoy:
A Method of Fluorescent Fibers Detection on Identity Documents under Ultraviolet Light. - V. P. Denysiuk:
Fundamental trigonometric interpolation and approximating polynomials and splines. - Mikhail A. Aliev, D. A. Bocharov, Irina A. Kunina, Dmitry P. Nikolaev:
A Low Computational Approach for Price Tag Recognition. - Holger Trittenbach, Klemens Böhm, Ira Assent:
Active Learning of SVDD Hyperparameter Values. - Eimear Byrne, Giuseppe Cotardo, Alberto Ravagnani:
Rank-Metric Codes, Generalized Binomial Moments and their Zeta Functions. - Ahmed AbdelWahab, Niels Landwehr:
Deep Distributional Sequence Embeddings Based on a Wasserstein Loss. - Saeideh Ghanbari Azar, Hadi Seyedarabi:
Trajectory-Based Recognition of Dynamic Persian Sign Language Using Hidden Markov Model. - Henning Schlüter, Frank Allgöwer:
A Constraint-Tightening Approach to Nonlinear Stochastic Model Predictive Control for Systems under General Disturbances. - Matti Pouke, Katherine J. Mimnaugh, Timo Ojala, Steven M. LaValle:
The Plausibility Paradox in Small-Scale Virtual Environments. - Raul Barbosa, Frederico Cerveira, Luís Gonçalo, Henrique Madeira:
The most frequent programming mistakes that cause software vulnerabilities. - Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou:
EmbedMask: Embedding Coupling for One-stage Instance Segmentation. - Chundra Aroor Cathcart:
A probabilistic assessment of the Indo-Aryan Inner-Outer Hypothesis. - Paul Théron, Alexander Kott:
When Autonomous Intelligent Goodware will Fight Autonomous Intelligent Malware: A Possible Future of Cyber Defense. - Sebastian Gündel, Andreas K. Maier:
Epoch-wise label attacks for robustness against label noise. - Fabian Hinder, André Artelt, Barbara Hammer:
A probability theoretic approach to drifting data in continuous time domains. - Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, Walid Magdy, Hamdy Mubarak, Abed Alhakim Freihat, James R. Glass, Bilal Randeree:
SemEval-2016 Task 3: Community Question Answering. - Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. - Sariel Har-Peled, Mitchell Jones:
Proof of Dudley's Convex Approximation. - Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. - Meng Hua, Luxi Yang, Chunguo Li, Qingqing Wu, A. Lee Swindlehurst:
Throughput Maximization for UAV-aided Backscatter Communication Networks. - Samet Demir, Uras Mutlu, Özgür Özdemir:
Neural Academic Paper Generation. - Edwin Simpson, Iryna Gurevych:
Scalable Bayesian Preference Learning for Crowds. - Geevarghese Philip, M. R. Rani, R. Subashini:
On Computing the Hamiltonian Index of Graphs. - Ishan Misra, Laurens van der Maaten:
Self-Supervised Learning of Pretext-Invariant Representations. - Dexin Wang:
Research on dynamic target detection and tracking system of hexapod robot. - Meng Hua, Yi Wang, Qingqing Wu, Haibo Dai, Yongming Huang, Luxi Yang:
Energy-Efficient Cooperative Secure Transmission in Multi-UAV Enabled Wireless Networks. - Kenjiro Tadakuma, Toshiaki Fujimoto, Masahiro Watanabe, Tori Shimizu:
Fire Resistance Deformable Soft Gripper Based on Wire Jamming Mechanism. - Martina Vanelli, Laura Arditti, Giacomo Como, Fabio Fagnani:
On games with coordinating and anti-coordinating agents. - Naveen Mohan, Martin Törngren, Viacheslav Izosimov, Viktor Kaznov, Per Roos, Johan Svahn, Joakim Gustavsson, Damir Nesic:
Challenges in Architecting Fully Automated Driving; with an Emphasis on Heavy Commercial Vehicles. - Leonardo Cianfanelli, Giacomo Como:
On stability of users equilibria in heterogeneous routing games. - Zimin Chen, Steve Kommrusch, Martin Monperrus:
Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities. - Joakim Oscarsson, Max Stolz-Sundnes, Naveen Mohan, Viacheslav Izosimov:
Applying systems-theoretic process analysis in the context of cooperative driving. - Pascal Koiran, Mateusz Skomra:
Derandomization and absolute reconstruction for sums of powers of linear forms. - Annalisa Franco, Antonio Magnani, Dario Maio:
Template co-updating in multi-modal human activity recognition systems. - Shengtian Yang, Jun Chen:
A Maximin Optimal Online Power Control Policy for Energy Harvesting Communications. - Thomas Holterbach, Tobias Bühler, Tino Rellstab, Laurent Vanbever:
An Open Platform to Teach How the Internet Practically Works. - Nguyen Hong Son, Ha Thanh Dung:
The method of detecting online password attacks based on high-level protocol analysis and clustering techniques. - Chen Gao, Yunpeng Chen, Si Liu, Zhenxiong Tan, Shuicheng Yan:
AdversarialNAS: Adversarial Neural Architecture Search for GANs. - Xiaojie Zhu, Erman Ayday, Roman Vitenberg, Narasimha Raghavan Veeraragavan:
Privacy-Preserving Search for a Similar Genomic Makeup in the Cloud. - Felix Stahlberg:
Neural Machine Translation: A Review. - Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff:
Robust Visual Object Tracking with Natural Language Region Proposal Network. - Ali Mohammed, Florina M. Ciorba:
SimAS: A Simulation-assisted Approach for the Scheduling Algorithm Selection under Perturbations. - Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang:
RTN: Reparameterized Ternary Network. - Zheyuan Wang, Matthew C. Gombolay:
Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks. - Geoffroy Dubourg-Felonneau, Omar Darwish, Christopher Parsons, Dami Rebergen, John W. Cassidy, Nirmesh Patel, Harry W. Clifford:
Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer. - Guenther Ruhe:
Optimization in Software Engineering - A Pragmatic Approach. - Lars Grasedyck, Lukas Juschka, Christian Löbbert:
Finding entries of maximum absolute value in low-rank tensors. - Ofir Nachum, Bo Dai, Ilya Kostrikov, Yinlam Chow, Lihong Li, Dale Schuurmans:
AlgaeDICE: Policy Gradient from Arbitrary Experience. - Rezarta Islamaj Dogan, Lana Yeganova, Won Kim, Natalie Xie, W. John Wilbur:
PDC - a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed. - Dillon J. Lohr, Lee Friedman, Oleg V. Komogortsev:
Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study using SMI's Eye-Tracking HTC Vive. - Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang:
Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy. - Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Protecting Geolocation Privacy of Photo Collections. - Faen Zhang, Xinyu Fan, Pengcheng Zhou, Wenfeng Zhou:
On the Security of A Remote Cloud Storage Integrity Checking Protocol. - Daniel Omeiza:
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models. - Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò, Peter Kontschieder:
Learning Multi-Object Tracking and Segmentation from Automatic Annotations. - Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots:
Expressiveness and Learning of Hidden Quantum Markov Models. - Amulya Yadav:
Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World. - Amulya Yadav:
Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities. - Bill Yang Cai, Xiaojiang Li, Carlo Ratti:
Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks. - Md. Saiful Islam, Mohammed Eunus Ali, Yong-Bin Kang, Timos Sellis, Farhana Murtaza Choudhury:
Keyword Aware Influential Community Search in Large Attributed Graphs. - Josef Musil, Jakub Knir, Athanasios Vitsas, Irene Gallou:
Towards Sustainable Architecture: 3D Convolutional Neural Networks for Computational Fluid Dynamics Simulation and Reverse DesignWorkflow.