AAAI 2020
1864 papers
A Character-Centric Neural Model for Automated Story Generation
Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, Rui Yan A Commentary on the Unsupervised Learning of Disentangled Representations
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem A Constraint-Based Approach to Learning and Explanation
Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning
Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier A General Approach to Fairness with Optimal Transport
Silvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis
Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim A MaxSAT-Based Framework for Group Testing
Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S. Meel A Multi-Channel Neural Graphical Event Model with Negative Evidence
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories
Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet A Novel Model for Imbalanced Data Classification
Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhi-Jie Wang A Practical Approach to Forgetting in Description Logics with Nominals
Yizheng Zhao, Renate A. Schmidt, Yuejie Wang, Xuanming Zhang, Hao Feng A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang A Robust Adversarial Training Approach to Machine Reading Comprehension
Kai Liu, Xin Liu, An Yang, Jing Liu, Jinsong Su, Sujian Li, Qiaoqiao She A Simple and Efficient Tensor Calculus
Sören Laue, Matthias Mitterreiter, Joachim Giesen ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs
Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network
Jialin Gao, Zhixiang Shi, Guanshuo Wang, Jiani Li, Yufeng Yuan, Shiming Ge, Xi Zhou Actionable Ethics Through Neural Learning
Daniele Rossini, Danilo Croce, Sara Mancini, Massimo Pellegrino, Roberto Basili Active Goal Recognition
Maayan Shvo, Sheila A. McIlraith ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data
Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy Adapting Language Models for Non-Parallel Author-Stylized Rewriting
Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma Adapting Stable Matchings to Evolving Preferences
Robert Bredereck, Jiehua Chen, Dusan Knop, Junjie Luo, Rolf Niedermeier Adaptive Convolutional ReLUs
Hongyang Gao, Lei Cai, Shuiwang Ji Adaptive Two-Dimensional Embedded Image Clustering
Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, Kuiyuan Yang Adversarial Domain Adaptation with Domain Mixup
Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang Adversarial Dynamic Shapelet Networks
Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang Adversarial-Learned Loss for Domain Adaptation
Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai Adversarially Robust Distillation
Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein Aggregated Gradient Langevin Dynamics
Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian AI for Explaining Decisions in Multi-Agent Environments
Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath AISpace2: An Interactive Visualization Tool for Learning and Teaching Artificial Intelligence
Chenliang Zhou, Dominic Kuang, Jingru Liu, Hanbo Yang, Zijia Zhang, Alan K. Mackworth, David L. Poole Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations
Kai Song, Kun Wang, Heng Yu, Yue Zhang, Zhongqiang Huang, Weihua Luo, Xiangyu Duan, Min Zhang All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu All-Pay Bidding Games on Graphs
Guy Avni, Rasmus Ibsen-Jensen, Josef Tkadlec ALOHA: Artificial Learning of Human Attributes for Dialogue Agents
Aaron W. Li, Veronica Jiang, Steven Y. Feng, Julia Sprague, Wei Zhou, Jesse Hoey Alternating Language Modeling for Cross-Lingual Pre-Training
Jian Yang, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Zhoujun Li, Ming Zhou American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract)
Yuanqi Du, Nguyen Dang, Riley Wilkerson, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka An ADMM Based Framework for AutoML Pipeline Configuration
Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray An Analytical Workflow for Clustering Forensic Images (Student Abstract)
Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos
Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer An Information-Theoretic Quantification of Discrimination with Exempt Features
Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover Analog Accelerator for Simulation and Diagnostics
Alexander Feldman, Ion Matei, Emil Totev, Johan de Kleer Apprenticeship Learning via Frank-Wolfe
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour Approval-Based Apportionment
Markus Brill, Paul Gölz, Dominik Peters, Ulrike Schmidt-Kraepelin, Kai Wilker Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu Assessing Ethical Thinking About AI
Judy Goldsmith, Emanuelle Burton, David M. Dueber, Beth Goldstein, Shannon Sampson, Michael D. Toland Associating Natural Language Comment and Source Code Entities
Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo Asymptotic Risk of Bézier Simplex Fitting
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
Ruohan Zhang, Calen Walshe, Zhuode Liu, Lin Guan, Karl S. Muller, Jake Alden Whritner, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard AtLoc: Attention Guided Camera Localization
Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham Attention-over-Attention Field-Aware Factorization Machine
Zhibo Wang, Jinxin Ma, Yongquan Zhang, Qian Wang, Ju Ren, Peng Sun Attentive Experience Replay
Peiquan Sun, Wengang Zhou, Houqiang Li Attribute Propagation Network for Graph Zero-Shot Learning
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang AUC Optimization with a Reject Option
Song-Qing Shen, Bin-Bin Yang, Wei Gao Automated Synthesis of Social Laws in STRIPS
Ronen Nir, Alexander Shleyfman, Erez Karpas Automated Utterance Generation
Soham Parikh, Quaizar Vohra, Mitul Tiwari Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors
Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu Automatic Fact-Guided Sentence Modification
Darsh J. Shah, Tal Schuster, Regina Barzilay Automatic Generation of Headlines for Online Math Questions
Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles Automatically Neutralizing Subjective Bias in Text
Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang AutoRemover: Automatic Object Removal for Autonomous Driving Videos
Rong Zhang, Wei Li, Peng Wang, Chenye Guan, Jin Fang, Yuhang Song, Jinhui Yu, Baoquan Chen, Weiwei Xu, Ruigang Yang AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture
Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen Balancing Spreads of Influence in a Social Network
Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search
Maximilian Fickert, Tianyi Gu, Leonhard Staut, Wheeler Ruml, Jörg Hoffmann, Marek Petrik Beyond Dropout: Feature mAP Distortion to Regularize Deep Neural Networks
Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu Bi-Level Actor-Critic for Multi-Agent Coordination
Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang Bidding in Smart Grid PDAs: Theory, Analysis and Strategy
Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat Binarized Neural Architecture Search
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji Bivariate Beta-LSTM
Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng Bounding Regret in Empirical Games
Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems
Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti Brain-Mediated Transfer Learning of Convolutional Neural Networks
Satoshi Nishida, Yusuke Nakano, Antoine Blanc, Naoya Maeda, Masataka Kado, Shinji Nishimoto Bursting the Filter Bubble: Fairness-Aware Network Link Prediction
Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian CAiRE: An End-to-End Empathetic Chatbot
Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung Cakewalk Sampling
Uri Patish, Shimon Ullman Capsule Routing via Variational Bayes
Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias Cascading Convolutional Color Constancy
Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia CASE: Context-Aware Semantic Expansion
Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi Causal Knowledge Extraction Through Large-Scale Text Mining
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz CBNet: A Novel Composite Backbone Network Architecture for Object Detection
Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling CGD: Multi-View Clustering via Cross-View Graph Diffusion
Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao Chain Length and CSPs Learnable with Few Queries
Christian Bessiere, Clément Carbonnel, George Katsirelos Channel Attention Is All You Need for Video Frame Interpolation
Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou CircleNet for Hip Landmark Detection
Hai Wu, Hongtao Xie, Chuanbin Liu, Zheng-Jun Zha, Jun Sun, Yongdong Zhang Clarity: Data-Driven Automatic Assessment of Product Competitiveness
Sheema Usmani, Mariana Bernagozzi, Yufeng Huang, Michelle Morales, Amir Sabet Sarvestani, Biplav Srivastava Coarse Correlation in Extensive-Form Games
Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm Cognitive Compliance: Assessing Regulatory Risk in Financial Advice Documents
Wanita Sherchan, Sue Ann Chen, Simon Harris, Nebula Alam, Khoi-Nguyen Tran, Christopher J. Butler Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio Compact Autoregressive Network
Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian Complementary Auxiliary Classifiers for Label-Conditional Text Generation
Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao Complementary-View Multiple Human Tracking
Ruize Han, Wei Feng, Jiewen Zhao, Zicheng Niu, Yujun Zhang, Liang Wan, Song Wang Compressed Self-Attention for Deep Metric Learning
Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du Computing Equilibria in Binary Networked Public Goods Games
Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao Context-Aware Zero-Shot Recognition
Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang Contextual Parameter Generation for Knowledge Graph Link Prediction
George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos Convergence of Opinion Diffusion Is PSPACE-Complete
Dmitry Chistikov, Grzegorz Lisowski, Mike Paterson, Paolo Turrini Corpus Wide Argument Mining - A Working Solution
Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim Cost-Effective Incentive Allocation via Structured Counterfactual Inference
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce
Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan Cross-Lingual Natural Language Generation via Pre-Training
Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification
Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zeng-Guang Hou Crowd Counting with Decomposed Uncertainty
Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation
Caterina Lacerra, Michele Bevilacqua, Tommaso Pasini, Roberto Navigli D-Agree: Crowd Discussion Support System Based on Automated Facilitation Agent
Takayuki Ito, Shota Suzuki, Naoko Yamaguchi, Tomohiro Nishida, Kentaro Hiraishi, Kai Yoshino DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks
Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang Data-Driven Ranking and Visualization of Products by Competitiveness
Sheema Usmani, Mariana Bernagozzi, Yufeng Huang, Michelle Morales, Amir Sabet Sarvestani, Biplav Srivastava DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series
Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong Chi Yuen Day-Ahead Forecasting of Losses in the Distribution Network
Nisha Dalal, Martin Mølnå, Mette Herrem, Magne Røen, Odd Erik Gundersen DCMN+: Dual Co-Matching Network for Multi-Choice Reading Comprehension
Shuailiang Zhang, Hai Zhao, Yuwei Wu, Zhuosheng Zhang, Xi Zhou, Xiang Zhou Deception Through Half-Truths
Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik Deciding Acceptance in Incomplete Argumentation Frameworks
Andreas Niskanen, Daniel Neugebauer, Matti Järvisalo, Jörg Rothe Decoupled Attention Network for Text Recognition
Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, Canjie Luo, Xiaoxue Chen, Yaqiang Wu, Qianying Wang, Mingxiang Cai Deep Camouflage Images
Qing Zhang, Gelin Yin, Yongwei Nie, Wei-Shi Zheng Deep Conservative Policy Iteration
Nino Vieillard, Olivier Pietquin, Matthieu Geist Deep Embedded Non-Redundant Clustering
Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant Deep Message Passing on Sets
Yifeng Shi, Junier Oliva, Marc Niethammer Deep Ranking for Style-Aware Room Recommendations (Student Abstract)
Ilkay Yildiz, Esra Ataer Cansizoglu, Hantian Liu, Peter B. Golbus, Ozan Tezcan, Jae-Woo Choi Deep Reservoir Computing Meets 5g MIMO-OFDM Systems in Symbol Detection
Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi Deep Residual-Dense Lattice Network for Speech Enhancement
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan Delay-Adaptive Distributed Stochastic Optimization
Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam Designing Committees for Mitigating Biases
Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz Detecting and Tracking Communal Bird Roosts in Weather Radar Data
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge
Bonnie J. Dorr, Archna Bhatia, Adam Dalton, Brodie Mather, Bryanna Hebenstreit, Sashank Santhanam, Zhuo Cheng, Samira Shaikh, Alan Zemel, Tomek Strzalkowski Detecting Human-Object Interactions via Functional Generalization
Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa Detecting Semantic Anomalies
Faruk Ahmed, Aaron C. Courville Detecting Suspicious Timber Trades
Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Amelia Meadows, John Simeone, Willow Outhwaite, Chen Hin Keong, Amy Smith, Linda Walker, Naren Ramakrishnan Deterministic Value-Policy Gradients
Qingpeng Cai, Ling Pan, Pingzhong Tang DGE: Deep Generative Network Embedding Based on Commonality and Individuality
Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart Dialog State Tracking with Reinforced Data Augmentation
Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu Diana's World: A Situated Multimodal Interactive Agent
Nikhil Krishnaswamy, Pradyumna Narayana, Rahul Bangar, Kyeongmin Rim, Dhruva Patil, David G. McNeely-White, Jaime Ruiz, Bruce A. Draper, J. Ross Beveridge, James Pustejovsky DIANet: Dense-and-Implicit Attention Network
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang DICR: AI Assisted, Adaptive Platform for Contract Review
Dan G. Tecuci, Ravi Palla, Hamid R. Motahari Nezhad, Nishchal Ahuja, Alex Monteiro, Tigran Ishkhanov, Nigel P. Duffy Differentiable Algorithm for Marginalising Changepoints
Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang Differentiable Grammars for Videos
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo Differentiable Reasoning on Large Knowledge Bases and Natural Language
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette Discovery News: A Generic Framework for Financial News Recommendation
Chong Wang, Lisa Kim, Grace Bang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu Discriminative Sentence Modeling for Story Ending Prediction
Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction
Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo Distilling Portable Generative Adversarial Networks for Image Translation
Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu Distributionally Robust Counterfactual Risk Minimization
Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile Diversified Bayesian Nonnegative Matrix Factorization
Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao Diversified Interactive Recommendation with Implicit Feedback
Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang Diversity Transfer Network for Few-Shot Learning
Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xinyu Zhang, Chang Huang, Wenyu Liu, Bo Wang DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog
Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou DNNs as Layers of Cooperating Classifiers
Marelie H. Davel, Marthinus W. Theunissen, Arnold M. Pretorius, Etienne Barnard Do Not Have Enough Data? Deep Learning to the Rescue!
Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling Domain Conditioned Adaptation Network
Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization
Christabel Wayllace, Sunwoo Ha, Yuchen Han, Jiaming Hu, Shayan Monadjemi, William Yeoh, Alvitta Ottley Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK
Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Daniel Bittleston, Siyu Gao, Emily Peterson, John Trezza, Fei Fang DWM: A Decomposable Winograd Method for Convolution Acceleration
Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen Dynamic Embedding on Textual Networks via a Gaussian Process
Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin Dynamic Instance Normalization for Arbitrary Style Transfer
Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen Dynamic Programming for Predict+Optimise
Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan Efficient Automatic CASH via Rising Bandits
Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui Efficient Model-Based Diagnosis of Sequential Circuits
Alexander Feldman, Ingo Pill, Franz Wotawa, Ion Matei, Johan de Kleer Efficient Residual Dense Block Search for Image Super-Resolution
Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis
Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener End-to-End Argumentation Knowledge Graph Construction
Khalid Al Khatib, Yufang Hou, Henning Wachsmuth, Charles Jochim, Francesca Bonin, Benno Stein End-to-End Game-Focused Learning of Adversary Behavior in Security Games
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe End-to-End Thorough Body Perception for Person Search
Kun Tian, Houjing Huang, Yun Ye, Shiyu Li, Jinbin Lin, Guan Huang Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions
Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, Jiebo Luo Ensembles of Locally Independent Prediction Models
Andrew Slavin Ross, Weiwei Pan, Leo A. Celi, Finale Doshi-Velez ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract)
Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding
Yu Sun, Shuohuan Wang, Yu-Kun Li, Shikun Feng, Hao Tian, Hua Wu, Haifeng Wang Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman Event-Driven Continuous Time Bayesian Networks
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson Exchangeable Generative Models with Flow Scans
Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Junier Oliva, Manzil Zaheer Explainable Data Decompositions
Sebastian Dalleiger, Jilles Vreeken Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere Explicit Sentence Compression for Neural Machine Translation
Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao Exploratory Combinatorial Optimization with Reinforcement Learning
Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky Exploratory Navigation and Selective Reading
Natwar Modani, Paridhi Maheshwari, Harsh Deshpande, Saurab Sirpurkar, Diviya, Somak Aditya Exponential Family Graph Embeddings
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros Facial Attribute Capsules for Noise Face Super Resolution
Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li Fair Division of Mixed Divisible and Indivisible Goods
Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu Fair Division Through Information Withholding
Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Hejun Wang, Lirong Xia Fair Procedures for Fair Stable Marriage Outcomes
Nikolaos Tziavelis, Ioannis Giannakopoulos, Rune Quist Johansen, Katerina Doka, Nectarios Koziris, Panagiotis Karras Fairness for Robust Log Loss Classification
Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart FairyTED: A Fair Rating Predictor for TED Talk Data
Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer Faking Fairness via Stealthily Biased Sampling
Kazuto Fukuchi, Satoshi Hara, Takanori Maehara FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection
Jiangqiao Yan, Yue Zhang, Zhonghan Chang, Tengfei Zhang, Menglong Yan, Wenhui Diao, Hongqi Wang, Xian Sun Fast and Deep Graph Neural Networks
Claudio Gallicchio, Alessio Micheli Fast Learning of Temporal Action Proposal via Dense Boundary Generator
Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji Fastened CROWN: Tightened Neural Network Robustness Certificates
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel FASTER Recurrent Networks for Efficient Video Classification
Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang Fatigue-Aware Bandits for Dependent Click Models
Junyu Cao, Wei Sun, Zuo-Jun Max Shen, Markus Ettl Feature Deformation Meta-Networks in Image Captioning of Novel Objects
Tingjia Cao, Ke Han, Xiaomei Wang, Lin Ma, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue Federated Patient Hashing
Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang Feedback-Based Self-Learning in Large-Scale Conversational AI Agents
Pragaash Ponnusamy, Alireza Roshan Ghias, Chenlei Guo, Ruhi Sarikaya Few Shot Network Compression via Cross Distillation
Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu Few-Shot Bayesian Imitation Learning with Logical Program Policies
Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum Few-Shot Knowledge Graph Completion
Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla Finding Action Tubes with a Sparse-to-Dense Framework
Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu Fine-Grained Argument Unit Recognition and Classification
Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves FlowScope: Spotting Money Laundering Based on Graphs
Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng Forgetting an Argument
Ringo Baumann, Dov M. Gabbay, Odinaldo Rodrigues Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao Fully Convolutional Network for Consistent Voxel-Wise Correspondence
Yungeng Zhang, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing
Zhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadong Ma, Jianhua Liu, Ning Yang Gamma-Nets: Generalizing Value Estimation over Timescale
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski GaSPing for Utility
Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian Gated Convolutional Networks with Hybrid Connectivity for Image Classification
Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu Gated Fully Fusion for Semantic Segmentation
Xiangtai Li, Houlong Zhao, Lei Han, Yunhai Tong, Shaohua Tan, Kuiyuan Yang Generate, Segment, and Refine: Towards Generic Manipulation Segmentation
Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis Generating Engaging Promotional Videos for E-Commerce Platforms (Student Abstract)
Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao Generating Interactive Worlds with Text
Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston Generating Realistic Stock Market Order Streams
Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract)
Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang Generative Continual Concept Learning
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland Generative-Discriminative Complementary Learning
Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich Geometry-Constrained Car Recognition Using a 3D Perspective Network
Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation
Yang Li, Kan Li, Shuai Jiang, Ziyue Zhang, Congzhentao Huang, Richard Yi Da Xu Geospatial Clustering for Balanced and Proximal Schools
Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan Global Greedy Dependency Parsing
Zuchao Li, Hai Zhao, Kevin Parnow Going Deep: Graph Convolutional Ladder-Shape Networks
Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response
M. Arif Imtiazur Rahman, Sarah Masud Preum, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic Gradient-Aware Model-Based Policy Search
Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli Graduate Employment Prediction with Bias
Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang Grammar Filtering for Syntax-Guided Synthesis
Kairo Morton, William T. Hallahan, Elven Shum, Ruzica Piskac, Mark Santolucito Graph Attention Based Proposal 3D ConvNets for Action Detection
Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song Graph Few-Shot Learning via Knowledge Transfer
Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li Graph Representations for Higher-Order Logic and Theorem Proving
Aditya Paliwal, Sarah M. Loos, Markus N. Rabe, Kshitij Bansal, Christian Szegedy Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin GRET: Global Representation Enhanced Transformer
Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen GSSNN: Graph Smoothing Splines Neural Networks
Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang GTNet: Generative Transfer Network for Zero-Shot Object Detection
Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction
Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition
Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari, Debanjan Mahata, Amanda Stent, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems
Daniel Höller, Gregor Behnke, Pascal Bercher, Susanne Biundo, Humbert Fiorino, Damien Pellier, Ron Alford Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data
Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao Heuristic Black-Box Adversarial Attacks on Video Recognition Models
Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang Hidden Trigger Backdoor Attacks
Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling
Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon Hiding in Multilayer Networks
Marcin Waniek, Tomasz P. Michalak, Talal Rahwan Hierarchical Online Instance Matching for Person Search
Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Bernt Schiele Hierarchical Reinforcement Learning for Open-Domain Dialog
Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua How Should an Agent Practice?
Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh Human Synthesis and Scene Compositing
Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic Hybrid Graph Neural Networks for Crowd Counting
Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng Hypergraph Label Propagation Network
Yubo Zhang, Nan Wang, Yufeng Chen, Changqing Zou, Hai Wan, Xibin Zhao, Yue Gao Hypernym Detection Using Strict Partial Order Networks
Sarthak Dash, Md. Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia Identifying Model Weakness with Adversarial Examiner
Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille Image Enhanced Event Detection in News Articles
Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua Image Formation Model Guided Deep Image Super-Resolution
Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang Image-Adaptive GAN Based Reconstruction
Shady Abu Hussein, Tom Tirer, Raja Giryes Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu Improved Algorithms for Conservative Exploration in Bandits
Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta Improved Knowledge Distillation via Teacher Assistant
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh Improved PAC-Bayesian Bounds for Linear Regression
Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihály Petreczky Improving Efficiency of Volunteer-Based Food Rescue Operations
Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang Improving Neural Relation Extraction with Positive and Unlabeled Learning
Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang Incentive-Compatible Classification
Yakov Babichenko, Oren Dean, Moshe Tennenholtz Inception LSTM for Next-Frame Video Prediction (Student Abstract)
Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju Gottumukkala Inducing Relational Knowledge from BERT
Zied Bouraoui, José Camacho-Collados, Steven Schockaert Induction of Subgoal Automata for Reinforcement Learning
Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson Inefficiency of K-FAC for Large Batch Size Training
Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney Inferring Nighttime Satellite Imagery from Human Mobility
Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry A. Kautz Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations
Wei W. Xing, Shireen Y. Elhabian, Robert Michael Kirby, Ross T. Whitaker, Shandian Zhe Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue InstaNAS: Instance-Aware Neural Architecture Search
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun Instance-Adaptive Graph for EEG Emotion Recognition
Tengfei Song, Suyuan Liu, Wenming Zheng, Yuan Zong, Zhen Cui Instance-Wise Dynamic Sensor Selection for Human Activity Recognition
Xiaodong Yang, Yiqiang Chen, Hanchao Yu, Yingwei Zhang, Wang Lu, Ruizhe Sun Integrating Linguistic Knowledge to Sentence Paraphrase Generation
Zibo Lin, Ziran Li, Ning Ding, Haitao Zheng, Ying Shen, Wei Wang, Cong-Zhi Zhao Interactive Dual Generative Adversarial Networks for Image Captioning
Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang Interactive Fiction Games: A Colossal Adventure
Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan Interactive Rare-Category-of-Interest Mining from Large Datasets
Zhenguang Liu, Sihao Hu, Yifang Yin, Jianhai Chen, Kevin Chiew, Luming Zhang, Zetian Wu Invariant Representations Through Adversarial Forgetting
Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models
Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde Iterative Data Programming for Expanding Text Classification Corpora
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta JEC-QA: A Legal-Domain Question Answering Dataset
Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun Joint Parsing and Generation for Abstractive Summarization
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu Justifying All Differences Using Pseudo-Boolean Reasoning
Jan Elffers, Stephan Gocht, Ciaran McCreesh, Jakob Nordström K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang Keyphrase Generation for Scientific Articles Using GANs (Student Abstract)
Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah Keywords-Guided Abstractive Sentence Summarization
Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Xiaodong He Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty Knowledge Distillation from Internal Representations
Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Z. Yao, Xing Fan, Chenlei Guo Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation
Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu Knowledge Graph Transfer Network for Few-Shot Recognition
Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin Knowledge Integration Networks for Action Recognition
Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott Knowledge-Enriched Visual Storytelling
Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao Kenneth Huang, Lun-Wei Ku KPNet: Towards Minimal Face Detector
Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan Kriging Convolutional Networks
Gabriel Appleby, Linfeng Liu, Liping Liu Label Enhancement with Sample Correlations via Low-Rank Representation
Haoyu Tang, Jihua Zhu, Qinghai Zheng, Jun Wang, Shanmin Pang, Zhongyu Li Ladder Loss for Coherent Visual-Semantic Embedding
Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua Large-Scale Multi-View Subspace Clustering in Linear Time
Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu Latent Relation Language Models
Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig LATTE: Latent Type Modeling for Biomedical Entity Linking
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung Learning Deep Relations to Promote Saliency Detection
Changrui Chen, Xin Sun, Yang Hua, Junyu Dong, Hongwei Xv Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation
Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, Cláudio T. Silva Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing
Yunxiao Qin, Chenxu Zhao, Xiangyu Zhu, Zezheng Wang, Zitong Yu, Tianyu Fu, Feng Zhou, Jingping Shi, Zhen Lei Learning Multi-Level Dependencies for Robust Word Recognition
Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu Learning Query Inseparable εℒℋ Ontologies
Ana Ozaki, Cosimo Persia, Andrea Mazzullo Learning Sparse Sharing Architectures for Multiple Tasks
Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang Learning Student Networks with Few Data
Shumin Kong, Tianyu Guo, Shan You, Chang Xu Learning the Value of Teamwork to Form Efficient Teams
Ryan Beal, Narayan Changder, Timothy J. Norman, Sarvapali D. Ramchurn Learning to Communicate Implicitly by Actions
Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang Learning to Crawl
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi Learning to Deblur Face Images via Sketch Synthesis
Songnan Lin, Jiawei Zhang, Jinshan Pan, Yicun Liu, Yongtian Wang, Jing S. J. Chen, Jimmy S. Ren Learning to Follow Directions in Street View
Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell Learning to Generate Maps from Trajectories
Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng Learning to Interactively Learn and Assist
Mark Woodward, Chelsea Finn, Karol Hausman Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation
Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille Learning Weighted Model Integration Distributions
Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini Learning with Unsure Responses
Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada LearnIt: On-Demand Rapid Customization for Event-Event Relation Extraction
Bonan Min, Manaj Srivastava, Haoling Qiu, Prasannakumar Muthukumar, Joshua Fasching Leveraging Title-Abstract Attentive Semantics for Paper Recommendation
Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He Lexical Simplification with Pretrained Encoders
Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu Lifelong Learning with a Changing Action Set
Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas Lifelong Spectral Clustering
Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu Light Multi-Segment Activation for Model Compression
Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu Lightweight and Robust Representation of Economic Scales from Satellite Imagery
Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha Linear Bandits with Feature Feedback
Urvashi Oswal, Aniruddha Bhargava, Robert Nowak Linear Context Transform Block
Dongsheng Ruan, Jun Wen, Nenggan Zheng, Min Zheng LMLFM: Longitudinal Multi-Level Factorization Machine
Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar Local Regularizer Improves Generalization
Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen Logics for Sizes with Union or Intersection
Caleb Kisby, Saúl A. Blanco, Alex Kruckman, Lawrence S. Moss Logo-2k+: A Large-Scale Logo Dataset for Scalable Logo Classification
Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang Long Short-Term Sample Distillation
Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi Loss-Based Attention for Deep Multiple Instance Learning
Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang Low Resource Sequence Tagging with Weak Labels
Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution
Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov LTLƒ Synthesis with Fairness and Stability Assumptions
Shufang Zhu, Giuseppe De Giacomo, Geguang Pu, Moshe Y. Vardi M-NAS: Meta Neural Architecture Search
Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng MA-DST: Multi-Attention-Based Scalable Dialog State Tracking
Adarsh Kumar, Peter Ku, Anuj Kumar Goyal, Angeliki Metallinou, Dilek Hakkani-Tür Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang Mechanism Design with Predicted Task Revenue for Bike Sharing Systems
Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen Mega-Reward: Achieving Human-Level Play Without Extrinsic Rewards
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu Memory Augmented Graph Neural Networks for Sequential Recommendation
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates Message Passing Attention Networks for Document Understanding
Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis Meta-Amortized Variational Inference and Learning
Mike Wu, Kristy Choi, Noah D. Goodman, Stefano Ermon Midas: Microcluster-Based Detector of Anomalies in Edge Streams
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Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu Unsupervised Deep Learning via Affinity Diffusion
Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu Unsupervised Detection of Sub-Events in Large Scale Disasters
Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes Unsupervised Metric Learning with Synthetic Examples
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Gerardo Ocampo Diaz, Vincent Ng Using Small Business Banking Data for Explainable Credit Risk Scoring
Wei Wang, Christopher Lesner, Alexander Ran, Marko Rukonic, Jason Xue, Eric Shiu V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices
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Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong Variational Pathway Reasoning for EEG Emotion Recognition
Tong Zhang, Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang Verb Class Induction with Partial Supervision
Daniel W. Peterson, Susan Windisch Brown, Martha Palmer Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
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