AAAI 2021
1960 papers
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi A Controllable Model of Grounded Response Generation
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan A Deep Learning Framework for Improving Lameness Identification in Dairy Cattle
Yasmine Karoui, Amanda A. Boatswain Jacques, Abdoulaye Baniré Diallo, Elise Shepley, Elsa Vasseur A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris A Flexible Framework for Communication-Efficient Machine Learning
Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson A Free Lunch for Unsupervised Domain Adaptive Object Detection Without Source Data
Xianfeng Li, Weijie Chen, Di Xie, Shicai Yang, Peng Yuan, Shiliang Pu, Yueting Zhuang A Health-Friendly Speaker Verification System Supporting Mask Wearing
Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Chen Jason Zhang, Qian Xu, Lixin Fan, Qiang Yang A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy
Aqib Ahmed, Joshua Leppo, Michal Lesniewski, Riken Patel, Jonathan Pérez, Jeremy Blum A Highly-Parameterized Ensemble to Play Gin Rummy
Masayuki Nagai, Kavya Shrivastava, Kien Ta, Steven Bogaerts, Chad Byers A Hybrid Bandit Framework for Diversified Recommendation
Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang A Market-Inspired Bidding Scheme for Peer Review Paper Assignment
Reshef Meir, Jérôme Lang, Julien Lesca, Nicholas Mattei, Natan Kaminsky A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem
Matthias Bentert, Robert Bredereck, Péter Györgyi, Andrzej Kaczmarczyk, Rolf Niedermeier A Novel AI-Based Methodology for Identifying Cyber Attacks in Honey Pots
Muhammed AbuOdeh, Christian Adkins, Omid Setayeshfar, Prashant Doshi, Kyu Hyung Lee A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments
Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng A Reciprocal Embedding Framework for Modelling Mutual Preferences
R. Ramanathan, Nicolas K. Shinada, Michinobu Shimatani, Yuhei Yamaguchi, Junichi Tanaka, Yuta Iizuka, Sucheendra K. Palaniappan A SAT-Based Resolution of Lam's Problem
Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias S. Kotsireas, Vijay Ganesh A Scalable Two Stage Approach to Computing Optimal Decision Sets
Alexey Ignatiev, Edward Lam, Peter J. Stuckey, João Marques-Silva A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering
Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray A Simple Framework for Cognitive Planning
Jorge Luis Fernandez Davila, Dominique Longin, Emiliano Lorini, Frédéric Maris A Trace-Restricted Kronecker-Factored Approximation to Natural Gradient
Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu A Unified Multi-Scenario Attacking Network for Visual Object Tracking
Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi A Unified Taylor Framework for Revisiting Attribution Methods
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu A Universal 2-State N-Action Adaptive Management Solver
Luz Valerie Pascal, Marianne Akian, Samuel Nicol, Iadine Chades Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing
Johan Bjorck, Brendan H. Rappazzo, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
Rohun Kshirsagar, Li-Yen Hsu, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Miguel Alvarado Accurate and Robust Feature Importance Estimation Under Distribution Shifts
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li ACT: An Attentive Convolutional Transformer for Efficient Text Classification
Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby B. Lee, Jindong Chen Active Bayesian Assessment of Black-Box Classifiers
Disi Ji, Robert L. Logan Iv, Padhraic Smyth, Mark Steyvers Ada-Segment: Automated Multi-Loss Adaptation for Panoptic Segmentation
Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney Adaptive Verifiable Training Using Pairwise Class Similarity
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy Addressing Action Oscillations Through Learning Policy Inertia
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng Adversarial Directed Graph Embedding
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He Adversarial Language Games for Advanced Natural Language Intelligence
Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao Adversarial Training Reduces Information and Improves Transferability
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto Adversarial Turing Patterns from Cellular Automata
Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan V. Oseledets Advice-Guided Reinforcement Learning in a Non-Markovian Environment
Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu Agent Incentives: A Causal Perspective
Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji Aggregating Binary Judgments Ranked by Accuracy
Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, Piotr Skowron AI-Assisted Scientific Data Collection with Iterative Human Feedback
Travis Mandel, James Boyd, Sebastian J. Carter, Randall H. Tanaka, Taishi Nammoto AI-Empowered Decision Support for COVID-19 Social Distancing
Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao AI-Infused Collaborative Inquiry in Upper Elementary School: A Game-Based Learning Approach
Seung Y. Lee, Bradford W. Mott, Anne T. Ottenbreit-Leftwich, J. Adam Scribner, Sandra Taylor, Kyungjin Park, Jonathan P. Rowe, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester Almost Envy-Freeness, Envy-Rank, and Nash Social Welfare Matchings
Alireza Farhadi, Mohammad Taghi Hajiaghayi, Mohamad Latifian, Masoud Seddighin, Hadi Yami Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective
Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng Amnesiac Machine Learning
Laura Graves, Vineel Nagisetty, Vijay Ganesh Amodal Segmentation Based on Visible Region Segmentation and Shape Prior
Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections
Michal Tomasz Godziszewski, Pawel Batko, Piotr Skowron, Piotr Faliszewski An End-to-End Solution for Named Entity Recognition in eCommerce Search
Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange, Priyanka Goyal, Thomas Packer, Faizan Javed An Improved Upper Bound for SAT
Huairui Chu, Mingyu Xiao, Zhe Zhang An LP-Based Approach for Goal Recognition as Planning
Luísa R. de A. Santos, Felipe Meneguzzi, Ramon Fraga Pereira, André Grahl Pereira Analogical Image Translation for Fog Generation
Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool Analogy Training Multilingual Encoders
Nicolas Garneau, Mareike Hartmann, Anders Sandholm, Sebastian Ruder, Ivan Vulic, Anders Søgaard Anomaly Attribution with Likelihood Compensation
Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe Any-Precision Deep Neural Networks
Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua Arbitrary Video Style Transfer via Multi-Channel Correlation
Yingying Deng, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu Argument Mining Driven Analysis of Peer-Reviews
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl Artificial Dummies for Urban Dataset Augmentation
Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic AttnMove: History Enhanced Trajectory Recovery via Attentional Network
Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang Audio-Visual Localization by Synthetic Acoustic Image Generation
Valentina Sanguineti, Pietro Morerio, Alessio Del Bue, Vittorio Murino AugSplicing: Synchronized Behavior Detection in Streaming Tensors
Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng Author Homepage Discovery in CiteSeerX
Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles Automated Cross-Prompt Scoring of Essay Traits
Robert Ridley, Liang He, Xin-Yu Dai, Shujian Huang, Jiajun Chen Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans
Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding Automated Reasoning and Learning for Automated Payroll Management
Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, Koen Denies Automated Storytelling via Causal, Commonsense Plot Ordering
Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl Automatic Optimal Multi-Agent Path Finding Algorithm Selector (Student Abstract)
Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing, Baskin Senbaslar, Nora Ayanian AutoText: An End-to-End AutoAI Framework for Text
Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher Balanced Open Set Domain Adaptation via Centroid Alignment
Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang Bayesian Optimized Monte Carlo Planning
John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer Bayesian Persuasion Under Ex Ante and Ex Post Constraints
Yakov Babichenko, Inbal Talgam-Cohen, Konstantin Zabarnyi Binaural Audio-Visual Localization
Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang Boosting Image-Based Mutual Gaze Detection Using Pseudo 3D Gaze
Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green Bootstrapping Dialog Models from Human to Human Conversation Logs
Pankaj Dhoolia, Vineet Kumar, Danish Contractor, Sachindra Joshi Boundary Proposal Network for Two-Stage Natural Language Video Localization
Shaoning Xiao, Long Chen, Songyang Zhang, Wei Ji, Jian Shao, Lu Ye, Jun Xiao Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
Jingyu Gong, Jiachen Xu, Xin Tan, Jie Zhou, Yanyun Qu, Yuan Xie, Lizhuang Ma Brain Decoding Using fNIRS
Lu Cao, Dandan Huang, Yue Zhang, Xiaowei Jiang, Yanan Chen Bringing UMAP Closer to the Speed of Light with GPU Acceleration
Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson Budget Feasible Mechanisms over Graphs
Xiang Liu, Weiwei Wu, Minming Li, Wanyuan Wang Building Interpretable Interaction Trees for Deep NLP Models
Die Zhang, Hao Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Mengyue Wu, Quanshi Zhang Business Entity Matching with Siamese Graph Convolutional Networks
Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin Camera-Aware Proxies for Unsupervised Person Re-Identification
Menglin Wang, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua CamouFinder: Finding Camouflaged Instances in Images
Trung-Nghia Le, Vuong Nguyen, Cong Le, Tan-Cong Nguyen, Minh-Triet Tran, Tam V. Nguyen Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling
Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong Certifying Top-Down Decision-DNNF Compilers
Florent Capelli, Jean-Marie Lagniez, Pierre Marquis Choosing the Initial State for Online Replanning
Maximilian Fickert, Ivan Gavran, Ivan Fedotov, Jörg Hoffmann, Rupak Majumdar, Wheeler Ruml ChronoR: Rotation Based Temporal Knowledge Graph Embedding
Ali Sadeghian, Mohammadreza Armandpour, Anthony M. Colas, Daisy Zhe Wang Classification Under Human Assistance
Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez Classification with Strategically Withheld Data
Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness
Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe Collaborative Group Learning
Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun Combining Machine Learning & Reasoning for Biodiversity Data Intelligence
Atriya Sen, Beckett W. Sterner, Nico M. Franz, Caleb Powel, Nathan Upham Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André A. Ciré Community-Aware Multi-Task Transportation Demand Prediction
Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong Composite Adversarial Attacks
Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue Computing the Proportional Veto Core
Egor Ianovski, Aleksei Y. Kondratev Consecutive Decoding for Speech-to-Text Translation
Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li Consensus Graph Representation Learning for Better Grounded Image Captioning
Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang Constrained Risk-Averse Markov Decision Processes
Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames Contextual Conditional Reasoning
Giovanni Casini, Thomas Andreas Meyer, Ivan Varzinczak Continual General Chunking Problem and SyncMap
Danilo Vasconcellos Vargas, Toshitake Asabuki Continual Learning for Named Entity Recognition
Natawut Monaikul, Giuseppe Castellucci, Simone Filice, Oleg Rokhlenko Continuous Self-Attention Models with Neural ODE Networks
Jing Zhang, Peng Zhang, Baiwen Kong, Junqiu Wei, Xin Jiang Contrastive Clustering
Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng Contrastive Triple Extraction with Generative Transformer
Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions
Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi Conversational Neuro-Symbolic Commonsense Reasoning
Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell Converse, Focus and Guess - Towards Multi-Document Driven Dialogue
Han Liu, Caixia Yuan, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Wang Copy That! Editing Sequences by Copying Spans
Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon Coupon Design in Advertising Systems
Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation
Minsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, Kwanghoon Sohn Cross-Layer Distillation with Semantic Calibration
Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer
Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen CrossNER: Evaluating Cross-Domain Named Entity Recognition
Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, Pascale Fung Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits
Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn DASZL: Dynamic Action Signatures for Zero-Shot Learning
Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao Data Augmentation for Graph Neural Networks
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah Data-Driven Multimodal Patrol Planning for Anti-Poaching
Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu Debiasing Evaluations That Are Biased by Evaluations
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah DecAug: Augmenting HOI Detection via Decomposition
Haoshu Fang, Yichen Xie, Dian Shao, Yong-Lu Li, Cewu Lu Deep Bayesian Quadrature Policy Optimization
Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue Deep Contextual Clinical Prediction with Reverse Distillation
Rohan S. Kodialam, Rebecca Boiarsky, Justin Lim, Aditya Sai, Neil Dixit, David A. Sontag Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung Deep Event Stereo Leveraged by Event-to-Image Translation
Soikat Hasan Ahmed, Hae Woong Jang, S. M. Nadim Uddin, Yong Ju Jung Deep Fusion Clustering Network
Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng Deep Metric Learning with Graph Consistency
Binghui Chen, Pengyu Li, Zhaoyi Yan, Biao Wang, Lei Zhang Deep Metric Learning with Self-Supervised Ranking
Zheren Fu, Yan Li, Zhendong Mao, Quan Wang, Yongdong Zhang Deep Partial Rank Aggregation for Personalized Attributes
Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang Deep Radial-Basis Value Functions for Continuous Control
Kavosh Asadi, Neev Parikh, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman Deep Style Transfer for Line Drawings
Xueting Liu, Wenliang Wu, Huisi Wu, Zhenkun Wen Deep Wasserstein Graph Discriminant Learning for Graph Classification
Tong Zhang, Yun Wang, Zhen Cui, Chuanwei Zhou, Baoliang Cui, Haikuan Huang, Jian Yang DeepCOVID: An Operational Deep Learning-Driven Framework for Explainable Real-Time COVID-19 Forecasting
Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization
Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
Ruben Tolosana, Paula Delgado-Santos, Andrés Pérez-Uribe, Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales Demodalizing Face Recognition with Synthetic Samples
Zhonghua Zhai, Pengju Yang, Xiaofeng Zhang, Maji Huang, Haijing Cheng, Xuejun Yan, Chunmao Wang, Shiliang Pu Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback
Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox Dense Events Grounding in Video
Peijun Bao, Qian Zheng, Yadong Mu DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation
Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang, Yingjie Victor Chen Designing a Hybrid AI Residency
Felipe Leno da Silva, Silvio Stanzani, Jefferson Fialho, Jorge Mondadori, Muriel Mazzetto, Felipe Sanches Couto, Raphael Cóbe Device Fabrication Knowledge Extraction from Materials Science Literature
Neelanshi Wadhwa, Sarath S, Sapan Shah, Sreedhar Reddy, Pritwish Mitra, Deepak Jain, Beena Rai DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti Differentially Private Stochastic Coordinate Descent
Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell Diffusion Network Inference from Partial Observations
Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li DirectQE: Direct Pretraining for Machine Translation Quality Estimation
Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen Discovering Fully Oriented Causal Networks
Osman Mian, Alexander Marx, Jilles Vreeken Disentangled Information Bottleneck
Ziqi Pan, Li Niu, Jianfu Zhang, Liqing Zhang Disentangled Motif-Aware Graph Learning for Phrase Grounding
Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang Disjunctive Temporal Problems Under Structural Restrictions
Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov Distribution Adaptive INT8 Quantization for Training CNNs
Kang Zhao, Sida Huang, Pan Pan, Yinghan Li, Yingya Zhang, Zhenyu Gu, Yinghui Xu Distribution Matching for Rationalization
Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang District-Fair Participatory Budgeting
D. Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia Diverse Knowledge Distillation for End-to-End Person Search
Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You Dividing a Graphical Cake
Xiaohui Bei, Warut Suksompong Doc2Bot: Document Grounded Bot Framework
Kshitij P. Fadnis, Pankaj Dhoolia, Li Zhu, Q. Vera Liao, Steven Ross, Nathaniel Mills, Sachindra Joshi, Luis A. Lastras DocParser: Hierarchical Document Structure Parsing from Renderings
Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel Does Explainable Artificial Intelligence Improve Human Decision-Making?
Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu Domain Adaptation in Reinforcement Learning via Latent Unified State Representation
Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar Domain General Face Forgery Detection by Learning to Weight
Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Min Su Lee, Byoung-Tak Zhang DropLoss for Long-Tail Instance Segmentation
Ting-I Hsieh, Esther Robb, Hwann-Tzong Chen, Jia-Bin Huang Dual Distribution Alignment Network for Generalizable Person Re-Identification
Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, Rongrong Ji Dual Quaternion Knowledge Graph Embeddings
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang Dual Sparse Attention Network for Session-Based Recommendation
Jiahao Yuan, Zihan Song, Mingyou Sun, Xiaoling Wang, Wayne Xin Zhao Dual-Level Collaborative Transformer for Image Captioning
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