Table of Contents

• Flexible Representative Democracy: An Introduction with Binary IssuesBen Abramowitz, Nicholas Mattei. 3-10 [doi]
• Portioning Using Ordinal Preferences: Fairness and EfficiencyStéphane Airiau, Haris Aziz 0001, Ioannis Caragiannis, Justin Kruger, Jérôme Lang, Dominik Peters. 11-17 [doi]
• An Efficient Algorithm for Skeptical Preferred Acceptance in Dynamic Argumentation FrameworksGianvincenzo Alfano, Sergio Greco, Francesco Parisi. 18-24 [doi]
• Strategic Signaling for Selling Information GoodsShani Alkoby, David Sarne, Igal Milchtaich. 25-31 [doi]
• Probabilistic Strategy LogicBenjamin Aminof, Marta Kwiatkowska, Bastien Maubert, Aniello Murano, Sasha Rubin. 32-38 [doi]
• Multi-Agent Pathfinding with Continuous TimeAnton Andreychuk, Konstantin Yakovlev, Dor Atzmon, Roni Stern. 39-45 [doi]
• Weighted Maxmin Fair Share Allocation of Indivisible ChoresHaris Aziz 0001, Hau Chan, Bo Li 0037. 46-52 [doi]
• Fair Allocation of Indivisible Goods and ChoresHaris Aziz 0001, Ioannis Caragiannis, Ayumi Igarashi, Toby Walsh. 53-59 [doi]
• Strategyproof and Approximately Maxmin Fair Share Allocation of ChoresHaris Aziz 0001, Bo Li 0037, Xiaowei Wu. 60-66 [doi]
• Stable and Envy-free Partitions in Hedonic GamesNathanaël Barrot, Makoto Yokoo. 67-73 [doi]
• How Hard Is the Manipulative Design of Scoring Systems?Dorothea Baumeister, Tobias Hogrebe. 74-80 [doi]
• The Price of Fairness for Indivisible GoodsXiaohui Bei, Xinhang Lu, Pasin Manurangsi, Warut Suksompong. 81-87 [doi]
• Strategy Logic with Simple Goals: Tractable Reasoning about StrategiesFrancesco Belardinelli, Wojciech Jamroga, Damian Kurpiewski, Vadim Malvone, Aniello Murano. 88-94 [doi]
• Fairness Towards Groups of Agents in the Allocation of Indivisible ItemsNawal Benabbou, Mithun Chakraborty, Edith Elkind, Yair Zick. 95-101 [doi]
• Optimality and Nash Stability in Additive Separable Generalized Group Activity Selection ProblemsVittorio Bilò, Angelo Fanelli 0001, Michele Flammini, Gianpiero Monaco, Luca Moscardelli. 102-108 [doi]
• An Experimental View on Committees Providing Justified RepresentationRobert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk 0001, Rolf Niedermeier. 109-115 [doi]
• A Contribution to the Critique of Liquid DemocracyIoannis Caragiannis, Evi Micha. 116-122 [doi]
• Be a Leader or Become a Follower: The Strategy to Commit to with Multiple LeadersMatteo Castiglioni, Alberto Marchesi, Nicola Gatti 0001. 123-129 [doi]
• On the Problem of Assigning PhD GrantsKatarína Cechlárová, Laurent Gourvès, Julien Lesca. 130-136 [doi]
• Maximin-Aware Allocations of Indivisible GoodsHau Chan, Jing Chen 0001, Bo Li 0037, Xiaowei Wu. 137-143 [doi]
• Reachability and Coverage Planning for Connected AgentsTristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber. 144-150 [doi]
• Approximately Maximizing the Broker's Profit in a Two-sided MarketJing Chen 0001, Bo Li 0037, Yingkai Li. 151-157 [doi]
• Election with Bribe-Effect Uncertainty: A Dichotomy ResultLin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi. 158-164 [doi]
• Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic PricesMengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo. 165-171 [doi]
• ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and SelectionShuo Chen 0006, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang 0002. 172-179 [doi]
• Network Formation under Random Attack and Probabilistic SpreadYu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern. 180-186 [doi]
• Cap-and-Trade Emissions Regulation: A Strategic AnalysisFrank Cheng, Yagil Engel, Michael P. Wellman. 187-193 [doi]
• A Value-based Trust Assessment Model for Multi-agent SystemsKinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam. 194-200 [doi]
• Exploiting Social Influence to Control Elections Based on Scoring RulesFederico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani. 201-207 [doi]
• Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric BeliefsSankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar. 208-214 [doi]
• Anytime Heuristic for Weighted Matching Through Altruism-Inspired BehaviorPanayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings. 215-222 [doi]
• AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization ProblemsYanchen Deng, Ziyu Chen, Dingding Chen, Wenxin Zhang, Xingqiong Jiang. 223-230 [doi]
• Preferred Deals in General EnvironmentsYuan Deng, Sébastien Lahaie, Vahab S. Mirrokni. 231-237 [doi]
• A Parameterized Perspective on Protecting ElectionsPalash Dey, Neeldhara Misra, Swaprava Nath, Garima Shakya. 238-244 [doi]
• Spotting Collective Behaviour of Online Frauds in Customer ReviewsSarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty 0002. 245-251 [doi]
• Equilibrium Characterization for Data Acquisition GamesJinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman. 252-258 [doi]
• Protecting Elections by Recounting BallotsEdith Elkind, Jiarui Gan, Svetlana Obraztsova, Zinovi Rabinovich, Alexandros A. Voudouris. 259-265 [doi]
• Schelling Games on GraphsEdith Elkind, Jiarui Gan, Ayumi Igarashi, Warut Suksompong, Alexandros A. Voudouris. 266-272 [doi]
• Reallocating Multiple Facilities on the LineDimitris Fotakis, Loukas Kavouras, Panagiotis Kostopanagiotis, Philip Lazos, Stratis Skoulakis, Nikolas Zarifis. 273-279 [doi]
• Equitable Allocations of Indivisible GoodsRupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia. 280-286 [doi]
• Average-case Analysis of the Assignment Problem with Independent PreferencesYansong Gao, Jie Zhang 0008. 287-293 [doi]
• Improving Nash Social Welfare ApproximationsJugal Garg, Peter McGlaughlin. 294-300 [doi]
• On the Efficiency and Equilibria of Rich AdsMohammadAmin Ghiasi, MohammadTaghi Hajiaghayi, Sébastien Lahaie, Hadi Yami. 301-307 [doi]
• Identifying vulnerabilities in trust and reputation systemsTaha D. Günes, Long Tran-Thanh, Timothy J. Norman. 308-314 [doi]
• An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project ProblemMingyu Guo. 315-321 [doi]
• On Succinct Encodings for the Tournament Fixing ProblemSushmita Gupta, Saket Saurabh 0001, Ramanujan Sridharan, Meirav Zehavi. 322-328 [doi]
• On Computational Tractability for Rational VerificationJulian Gutierrez 0001, Muhammad Najib, Giuseppe Perelli, Michael J. Wooldridge. 329-335 [doi]
• Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10, 000 Robot SwarmJohn Harwell, Maria L. Gini. 336-342 [doi]
• Achieving a Fairer Future by Changing the PastJiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng. 343-349 [doi]
• Compact Representation of Value Function in Partially Observable Stochastic GamesKarel Horák, Branislav Bosanský, Christopher Kiekintveld, Charles A. Kamhoua. 350-356 [doi]
• Explicitly Coordinated Policy IterationYujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao. 357-363 [doi]
• Robustness against Agent Failure in Hedonic GamesAyumi Igarashi, Kazunori Ota, Yuko Sakurai, Makoto Yokoo. 364-370 [doi]
• The Interplay of Emotions and Norms in Multiagent SystemsAnup K. Kalia, Nirav Ajmeri, Kevin S. Chan, Jin-Hee Cho, Sibel Adali, Munindar P. Singh. 371-377 [doi]
• An Ordinal Banzhaf Index for Social RankingHossein Khani, Stefano Moretti, Meltem Öztürk. 378-384 [doi]
• Multigoal Committee SelectionMaciej Kocot, Anna Kolonko, Edith Elkind, Piotr Faliszewski, Nimrod Talmon. 385-391 [doi]
• Neural Networks for Predicting Human Interactions in Repeated GamesYoav Kolumbus, Gali Noti. 392-399 [doi]
• Almost Envy-Freeness in Group Resource AllocationMaria Kyropoulou, Warut Suksompong, Alexandros A. Voudouris. 400-406 [doi]
• A Quantitative Analysis of Multi-Winner RulesMartin Lackner, Piotr Skowron. 407-413 [doi]
• Correlating Preferences and Attributes: Nearly Single-Crossing ProfilesForam Lakhani, Dominik Peters, Edith Elkind. 414-420 [doi]
• Automated Negotiation with Gaussian Process-based Utility ModelsHaralambie Leahu, Michael Kaisers, Tim Baarslag. 421-427 [doi]
• Temporal Information Design in ContestsPriel Levy, David Sarne, Yonatan Aumann. 428-434 [doi]
• Diffusion and Auction on GraphsBin Li, Dong Hao, Dengji Zhao, Makoto Yokoo. 435-441 [doi]
• Improved Heuristics for Multi-Agent Path Finding with Conflict-Based SearchJiaoyang Li, Ariel Felner, Eli Boyarski, Hang Ma 0001, Sven Koenig. 442-449 [doi]
• Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under UncertaintyMinglong Li, Wenjing Yang, Zhongxuan Cai, Shaowu Yang, Ji Wang. 450-456 [doi]
• Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step ReturnsYong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan. 457-463 [doi]
• Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability DescentEdward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls. 464-470 [doi]
• Computational Aspects of Equilibria in Discrete Preference GamesPhani Raj Lolakapuri, Umang Bhaskar, Ramasuri Narayanam, Gyana R. Parija, Pankaj S. Dayama. 471-477 [doi]
• Multi-Robot Planning Under Uncertain Travel Times and Safety ConstraintsMasoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora. 478-484 [doi]
• Leadership in Congestion Games: Multiple User Classes and Non-Singleton ActionsAlberto Marchesi, Matteo Castiglioni, Nicola Gatti 0001. 485-491 [doi]
• Graphical One-Sided MarketsSagar Massand, Sunil Simon. 492-498 [doi]
• Reachability Games in Dynamic Epistemic LogicBastien Maubert, Sophie Pinchinat, François Schwarzentruber. 499-505 [doi]
• FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized SettingsMoin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Sujit Gujar. 506-512 [doi]
• Learning Swarm Behaviors using Grammatical Evolution and Behavior TreesAadesh Neupane, Michael A. Goodrich. 513-520 [doi]
• A Probabilistic Logic for Resource-Bounded Multi-Agent SystemsHoang Nga Nguyen, Abdur Rakib. 521-527 [doi]
• Imitative Attacker Deception in Stackelberg Security GamesThanh Nguyen, Haifeng Xu. 528-534 [doi]
• Priority Inheritance with Backtracking for Iterative Multi-agent Path FindingKeisuke Okumura, Manao Machida, Xavier Défago, Yasumasa Tamura. 535-542 [doi]
• Approval-Based Elections and Distortion of Voting RulesGrzegorz Pierczynski, Piotr Skowron. 543-549 [doi]
• Ad Hoc Teamwork With Behavior Switching AgentsManish Ravula, Shani Alkoby, Peter Stone. 550-556 [doi]
• Ridesharing with Driver Location PreferencesDuncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, David C. Parkes. 557-564 [doi]
• Multi-Population Congestion Games With Incomplete InformationCharlotte Roman, Paolo Turrini. 565-571 [doi]
• Sybil-Resilient Reality-Aware Social ChoiceGal Shahaf, Ehud Shapiro, Nimrod Talmon. 572-579 [doi]
• Preferences Single-Peaked on a Tree: Sampling and Tree RecognitionJakub Sliwinski, Edith Elkind. 580-586 [doi]
• Model-Free Model ReconciliationSarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati. 587-594 [doi]
• Aggregating Incomplete Pairwise Preferences by WeightZoi Terzopoulou, Ulle Endriss. 595-601 [doi]
• A Regularized Opponent Model with Maximum Entropy ObjectiveZheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang. 602-608 [doi]
• Exploring the Task Cooperation in Multi-goal Visual NavigationYuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha. 609-615 [doi]
• On Strategyproof Conference Peer ReviewYichong Xu, Han Zhao 0002, Xiaofei Shi, Nihar B. Shah. 616-622 [doi]
• Towards Efficient Detection and Optimal Response against Sophisticated OpponentsTianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng. 623-629 [doi]
• Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning FrameworkYaodong Yang, Jianye Hao, Yan Zheng, Chao Yu. 630-636 [doi]
• Complexity of Manipulating and Controlling Approval-Based Multiwinner VotingYongjie Yang. 637-643 [doi]
• On the Tree Representations of Dichotomous PreferencesYongjie Yang. 644-650 [doi]
• The Price of Governance: A Middle Ground Solution to Coordination in Organizational ControlChao Yu, Guozhen Tan. 651-657 [doi]
• Decentralized Optimization with Edge SamplingChi Zhang 0007, Qianxiao Li, Peilin Zhao. 658-664 [doi]
• Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing EconomyPengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang. 665-671 [doi]
• CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional NetworkSayan Banerjee, Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan. 673-679 [doi]
• Multi-Margin based Decorrelation Learning for Heterogeneous Face RecognitionBing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li. 680-686 [doi]
• Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine FrameworkHong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang 0003, Jonathan Li, Rongrong Ji. 687-693 [doi]
• Structure-Aware Residual Pyramid Network for Monocular Depth EstimationXiaotian Chen, Xuejin Chen, Zheng-Jun Zha. 694-700 [doi]
• A Deep Bi-directional Attention Network for Human Motion RecoveryQiongjie Cui, HuaiJiang Sun, Yupeng Li, Yue Kong. 701-707 [doi]
• On Retrospecting Human Dynamics with AttentionMinjing Dong, Chang Xu. 708-714 [doi]
• Learning to Draw Text in Natural Images with Conditional Adversarial NetworksShancheng Fang, Hongtao Xie, Jianjun Chen, Jianlong Tan, Yongdong Zhang. 715-722 [doi]
• Beyond Product Quantization: Deep Progressive Quantization for Image RetrievalLianli Gao, Xiaosu Zhu, Jingkuan Song, Zhou Zhao, Heng Tao Shen. 723-729 [doi]
• ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEsAmir Gholaminejad, Kurt Keutzer, George Biros. 730-736 [doi]
• Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex OptimizationBin Gu, Wenhan Xian, Heng Huang. 737-743 [doi]
• Dense Temporal Convolution Network for Sign Language TranslationDan Guo, Shuo Wang, Qi Tian, Meng Wang. 744-750 [doi]
• Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign LabelingDan Guo, Shengeng Tang, Meng Wang. 751-757 [doi]
• 3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with AttentionZhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen. 758-765 [doi]
• Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple ViewsZhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker. 766-773 [doi]
• MAT-Net: Medial Axis Transform Network for 3D Object RecognitionJianwei Hu, Bin Wang, Lihui Qian, Yiling Pan, Xiaohu Guo, Lingjie Liu, Wenping Wang. 774-781 [doi]
• Dynamic Feature Fusion for Semantic Edge DetectionYuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng. 782-788 [doi]
• Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text MatchingZhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen. 789-795 [doi]
• Learning Unsupervised Visual Grounding Through Semantic Self-SupervisionSyed Ashar Javed, Shreyas Saxena, Vineet Gandhi. 796-802 [doi]
• Supervised Set-to-Set Hashing in Visual RecognitionI-Hong Jhuo. 803-810 [doi]
• Generative Image Inpainting with Submanifold AlignmentAng Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao. 811-817 [doi]
• Detecting Robust Co-Saliency with Recurrent Co-Attention Neural NetworkBo Li 0061, Zhengxing Sun, Lv Tang, Yunhan Sun, Jinlong Shi. 818-825 [doi]
• Variation Generalized Feature Learning via Intra-view Variation AdaptationJiawei Li, Mang Ye, Andy Jinhua Ma, Pong C. Yuen. 826-832 [doi]
• Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge DistillationQiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang. 833-839 [doi]
• Rethinking Loss Design for Large-scale 3D Shape RetrievalZhaoqun Li, Cheng Xu, Biao Leng. 840-846 [doi]
• Attribute-Aware Convolutional Neural Networks for Facial Beauty PredictionLuojun Lin, Lingyu Liang, Lianwen Jin, Weijie Chen. 847-853 [doi]
• Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNsChunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo. 854-860 [doi]
• Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature FusionDongnan Liu, Donghao Zhang, Yang Song 0001, Chaoyi Zhang, Fan Zhang 0013, Lauren O'Donnell, Weidong Cai. 861-868 [doi]
• Densely Connected Attention Flow for Visual Question AnsweringFei Liu, Jing Liu 0001, Zhiwei Fang, Richang Hong, Hanqing Lu. 869-875 [doi]
• Unsupervised Learning of Scene Flow Estimation Fusing with Local RigidityLiang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu. 876-882 [doi]
• Resolution-invariant Person Re-IdentificationShunan Mao, Shiliang Zhang, Ming Yang. 883-889 [doi]
• Low Shot Box Correction for Weakly Supervised Object DetectionTianxiang Pan, Bin Wang, Guiguang Ding, Jungong Han, Jun-Hai Yong. 890-896 [doi]
• DBDNet: Learning Bi-directional Dynamics for Early Action PredictionGuoliang Pang, Xionghui Wang, Jianfang Hu, Qing Zhang, Wei-Shi Zheng. 897-903 [doi]
• Deep Light-field-driven Saliency Detection from a Single ViewYongri Piao, Zhengkun Rong, Miao Zhang, Xiao Li, Huchuan Lu. 904-911 [doi]
• Deep Recurrent Quantization for Generating Sequential Binary CodesJingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen. 912-918 [doi]
• Talking Face Generation by Conditional Recurrent Adversarial NetworkYang Song, Jingwen Zhu, Dawei Li, Andy Wang, Hairong Qi. 919-925 [doi]
• Hallucinating Optical Flow Features for Video ClassificationYongyi Tang, Lin Ma 0002, Lianqiang Zhou. 926-932 [doi]
• Color-Sensitive Person Re-IdentificationGuan'an Wang, Yang Yang, Jian Cheng 0001, Jinqiao Wang, Zeng-Huang Hou. 933-939 [doi]
• Convolutional Auto-encoding of Sentence Topics for Image Paragraph GenerationJing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei. 940-946 [doi]
• DSRN: A Deep Scale Relationship Network for Scene Text DetectionYuxin Wang, Hongtao Xie, Zilong Fu, Yongdong Zhang. 947-953 [doi]
• Transferable Adversarial Attacks for Image and Video Object DetectionXingxing Wei, Siyuan Liang, Ning Chen, Xiaochun Cao. 954-960 [doi]
• Video Interactive Captioning with Human PromptsAming Wu, Yahong Han, Yi Yang 0001. 961-967 [doi]
• Mutually Reinforced Spatio-Temporal Convolutional Tube for Human Action RecognitionHaoze Wu, Jiawei Liu, Zheng-Jun Zha, Zhenzhong Chen, Xiaoyan Sun. 968-974 [doi]
• Densely Supervised Hierarchical Policy-Value Network for Image Paragraph GenerationSiying Wu, Zheng-Jun Zha, Zilei Wang, Houqiang Li, Feng Wu. 975-981 [doi]
• Graph Convolutional Network Hashing for Cross-Modal RetrievalRuiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu. 982-988 [doi]
• MSR: Multi-Scale Shape Regression for Scene Text DetectionChuhui Xue, Shijian Lu, Wei Zhang. 989-995 [doi]
• Dynamically Visual Disambiguation of Keyword-based Image SearchYazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu 0001, Lizhong Ding, Gangshan Wu, Ling Shao 0001. 996-1002 [doi]
• High Performance Gesture Recognition via Effective and Efficient Temporal ModelingYang Yi, Feng Ni, Yuexin Ma, Xinge Zhu, Yuankai Qi, Riming Qiu, Shijie Zhao, Feng Li, Yongtao Wang. 1003-1009 [doi]
• Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial LearningShi Yin, Shangfei Wang, Guozhu Peng, Xiaoping Chen, Bowen Pan. 1010-1017 [doi]
• Pose-preserving Cross Spectral Face HallucinationJunchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He. 1018-1024 [doi]
• Generative Visual Dialogue System via Weighted Likelihood EstimationHeming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C. C. Jay Kuo. 1025-1031 [doi]
• Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization LossFeng Zheng, Cheng Deng, Heng Huang. 1032-1040 [doi]
• LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute DiscerningQinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Mengran Gou. 1041-1047 [doi]
• Face Photo-Sketch Synthesis via Knowledge TransferMingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li. 1048-1054 [doi]
• Athanor: High-Level Local Search Over Abstract Constraint Specifications in EssenceSaad Attieh, Nguyen-Dang, Christopher Jefferson, Ian Miguel, Peter Nightingale. 1056-1063 [doi]
• Constraint Programming for Mining Borders of Frequent ItemsetsMohamed-Bachir Belaid, Christian Bessiere, Nadjib Lazaar. 1064-1070 [doi]
• How to Tame Your Anticipatory AlgorithmAllegra De Filippo, Michele Lombardi 0001, Michela Milano. 1071-1077 [doi]
• Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear FunctionsEmir Demirovic, Peter J. Stuckey, James Bailey 0001, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns. 1078-1085 [doi]
• Privacy-Preserving Obfuscation of Critical Infrastructure NetworksFerdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck. 1086-1092 [doi]
• Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph ColoringPei Huang, Minghao Liu, Ping Wang, Wenhui Zhang, Feifei Ma, Jian Zhang 0001. 1093-1100 [doi]
• DoubleLex Revisited and BeyondXuming Huang, Jimmy Lee. 1101-1107 [doi]
• Model-Based Diagnosis with Multiple ObservationsAlexey Ignatiev, António Morgado, Georg Weissenbacher, João Marques-Silva. 1108-1115 [doi]
• Enumerating Potential Maximal Cliques via SAT and ASPTuukka Korhonen, Jeremias Berg, Matti Järvisalo. 1116-1122 [doi]
• Entropy-Penalized Semidefinite ProgrammingMikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takác. 1123-1129 [doi]
• Acquiring Integer Programs from DataMohit Kumar, Stefano Teso, Luc De Raedt. 1130-1136 [doi]
• Stochastic Constraint Propagation for Mining Probabilistic NetworksAnna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen. 1137-1145 [doi]
• Optimizing Constraint Solving via Dynamic ProgrammingShu Lin, Na Meng, Wenxin Li. 1146-1154 [doi]
• Constraint-Based Scheduling with Complex Setup Operations: An Iterative Two-Layer ApproachAdriana Pacheco, Cédric Pralet, Stéphanie Roussel. 1155-1161 [doi]
• Phase Transition Behavior of Cardinality and XOR ConstraintsYash Pote, Saurabh Joshi, Kuldeep S. Meel. 1162-1168 [doi]
• GANAK: A Scalable Probabilistic Exact Model CounterShubham Sharma, Subhajit Roy, Mate Soos, Kuldeep S. Meel. 1169-1176 [doi]
• Unifying Search-based and Compilation-based Approaches to Multi-agent Path Finding through Satisfiability Modulo TheoriesPavel Surynek. 1177-1183 [doi]
• Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary AlgorithmsMiguel Terra-Neves, Inês Lynce, Vasco M. Manquinho. 1184-1190 [doi]
• Resolution and Domination: An Improved Exact MaxSAT AlgorithmChao Xu 0010, Wenjun Li, Yongjie Yang, Jianer Chen, Jianxin Wang. 1191-1197 [doi]
• Path Planning with CPD HeuristicsMassimo Bono, Alfonso Emilio Gerevini, Daniel Damir Harabor, Peter J. Stuckey. 1199-1205 [doi]
• A*+IDA*: A Simple Hybrid Search AlgorithmZhaoxing Bu, Richard E. Korf. 1206-1212 [doi]
• Deanonymizing Social Networks Using Structural InformationIoannis Caragiannis, Evanthia Tsitsoka. 1213-1219 [doi]
• Conditions for Avoiding Node Re-expansions in Bounded Suboptimal SearchJingwei Chen, Nathan R. Sturtevant. 1220-1226 [doi]
• An Efficient Evolutionary Algorithm for Minimum Cost Submodular CoverVictoria G. Crawford. 1227-1233 [doi]
• An Evolution Strategy with Progressive Episode Lengths for Playing GamesLior Fuks, Noor Awad, Frank Hutter, Marius Lindauer. 1234-1240 [doi]
• Regarding Jump Point Search and Subgoal GraphsDaniel Damir Harabor, Tansel Uras, Peter J. Stuckey, Sven Koenig. 1241-1248 [doi]
• Iterative Budgeted Exponential SearchMalte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant. 1249-1257 [doi]
• Direction-Optimizing Breadth-First Search with External Memory StorageShuli Hu, Nathan R. Sturtevant. 1258-1264 [doi]
• DeltaDou: Expert-level Doudizhu AI through Self-playQiqi Jiang, Kuangzheng Li, Boyao Du, Hao Chen, Hai Fang. 1265-1271 [doi]
• Graph Mining Meets Crowdsourcing: Extracting Experts for Answer AggregationYasushi Kawase, Yuko Kuroki, Atsushi Miyauchi. 1272-1279 [doi]
• Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search SpacesAkihiro Kishimoto, Adi Botea, Radu Marinescu 0002. 1280-1288 [doi]
• Branch-and-Cut-and-Price for Multi-Agent PathfindingEdward Lam, Pierre Le Bodic, Daniel Damir Harabor, Peter J. Stuckey. 1289-1296 [doi]
• Local Search with Efficient Automatic Configuration for Minimum Vertex CoverChuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang. 1297-1304 [doi]
• Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat GamePeixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang. 1305-1311 [doi]
• Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae ReconstructionXudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen 0012. 1312-1318 [doi]
• Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph ClusteringFariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar, Ramtin Madani. 1319-1326 [doi]
• Explaining Reinforcement Learning to Mere Mortals: An Empirical StudyAndrew Anderson 0002, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett. 1328-1334 [doi]
• Balancing Explicability and Explanations in Human-Aware PlanningTathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati. 1335-1343 [doi]
• Multi-agent Attentional Activity RecognitionKaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu 0001. 1344-1350 [doi]
• Deep Adversarial Social RecommendationWenqi Fan, Tyler Derr, Yao Ma 0001, Jianping Wang, Jiliang Tang, Qing Li. 1351-1357 [doi]
• A Semantics-based Model for Predicting Children's VocabularyIshaan Grover, Hae Won Park, Cynthia Breazeal. 1358-1365 [doi]
• STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural NetworksPengjie Gu, Rong Xiao, Gang Pan 0001, Huajin Tang. 1366-1372 [doi]
• Dynamic Item Block and Prediction Enhancing Block for Sequential RecommendationGuibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu. 1373-1379 [doi]
• Discrete Trust-aware Matrix Factorization for Fast RecommendationGuibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He. 1380-1386 [doi]
• Decoding EEG by Visual-guided Deep Neural NetworksZhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen. 1387-1393 [doi]
• MiSC: Mixed Strategies CrowdsourcingChing Yun Ko, Rui Lin, Shu Li, Ngai Wong. 1394-1400 [doi]
• Exploring Computational User Models for Agent Policy SummarizationIsaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir. 1401-1407 [doi]
• Minimizing Time-to-Rank: A Learning and Recommendation ApproachHaoming Li 0002, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye. 1408-1414 [doi]
• DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural NetworksMarco Maier, Daniel Elsner, Chadly Marouane, Meike Zehnle, Christoph Fuchs. 1415-1421 [doi]
• Why Can't You Do That HAL? Explaining Unsolvability of Planning TasksSarath Sreedharan, Siddharth Srivastava 0001, David E. Smith 0001, Subbarao Kambhampati. 1422-1430 [doi]
• Personalized Multimedia Item and Key Frame RecommendationLe Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang. 1431-1437 [doi]
• Counterfactual Fairness: Unidentification, Bound and AlgorithmYongkai Wu, Lu Zhang 0021, Xintao Wu. 1438-1444 [doi]
• Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking NeuronsRong Xiao, Qiang Yu 0005, Rui Yan, Huajin Tang. 1445-1451 [doi]
• Achieving Causal Fairness through Generative Adversarial NetworksDepeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang 0021, Xintao Wu. 1452-1458 [doi]
• DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video RecommendationHuan Yan, Xiangning Chen, Chen Gao, Yong Li 0008, Depeng Jin. 1459-1465 [doi]
• An Input-aware Factorization Machine for Sparse PredictionYantao Yu, Zhen Wang, Bo Yuan. 1466-1472 [doi]
• Multiple Noisy Label Distribution Propagation for CrowdsourcingHao Zhang, Liangxiao Jiang, Wenqiang Xu. 1473-1479 [doi]
• FAHT: An Adaptive Fairness-aware Decision Tree ClassifierWenbin Zhang, Eirini Ntoutsi. 1480-1486 [doi]
• ASP-based Discovery of Semi-Markovian Causal Models under Weaker AssumptionsZhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li. 1488-1494 [doi]
• On the Integration of CP-nets in ASPRINMario Alviano, Javier Romero 0003, Torsten Schaub. 1495-1501 [doi]
• Compilation of Logical ArgumentsLeila Amgoud, Dragan Doder. 1502-1508 [doi]
• Observations on Darwiche and Pearl's Approach for Iterated Belief RevisionTheofanis Aravanis, Pavlos Peppas, Mary-Anne Williams. 1509-1515 [doi]
• Do You Need Infinite Time?Alessandro Artale, Andrea Mazzullo, Ana Ozaki. 1516-1522 [doi]
• Stratified Evidence LogicsPhilippe Balbiani, David Fernández Duque, Andreas Herzig, Emiliano Lorini. 1523-1529 [doi]
• Worst-Case Optimal Querying of Very Expressive Description Logics with Path Expressions and Succinct CountingBartosz Bednarczyk, Sebastian Rudolph. 1530-1536 [doi]
• Comparing Options with Argument Schemes Powered by CancellationKhaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. 1537-1543 [doi]
• Possibilistic Games with Incomplete InformationNahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi. 1544-1550 [doi]
• Reasoning about Disclosure in Data Integration in the Presence of Source ConstraintsMichael Benedikt, Pierre Bourhis, Louis Jachiet, Michaël Thomazo. 1551-1557 [doi]
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• Ontology Approximation in Horn Description LogicsAnneke Bötcher, Carsten Lutz, Frank Wolter. 1574-1580 [doi]
• Oblivious and Semi-Oblivious Boundedness for Existential RulesPierre Bourhis, Michel Leclère, Marie-Laure Mugnier, Sophie Tison, Federico Ulliana, Lily Gallois. 1581-1587 [doi]
• Reasoning about Quality and Fuzziness of Strategic BehavioursPatricia Bouyer, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano, Giuseppe Perelli. 1588-1594 [doi]
• The Complexity of Model Checking Knowledge and TimeLaura Bozzelli, Bastien Maubert, Aniello Murano. 1595-1601 [doi]
• Planning for LTLf /LDLf Goals in Non-Markovian Fully Observable Nondeterministic DomainsRonen I. Brafman, Giuseppe De Giacomo. 1602-1608 [doi]
• Causal Discovery with Cascade Nonlinear Additive Noise ModelRuichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. 1609-1615 [doi]
• Enriching Ontology-based Data Access with ProvenanceDiego Calvanese, Davide Lanti, Ana Ozaki, Rafael Peñaloza, Guohui Xiao 0001. 1616-1623 [doi]
• Chasing Sets: How to Use Existential Rules for Expressive ReasoningDavid Carral, Irina Dragoste, Markus Krötzsch, Christian Lewe. 1624-1631 [doi]
• Simple Conditionals with Constrained Right WeakeningGiovanni Casini, Thomas Meyer, Ivan Varzinczak. 1632-1638 [doi]
• Explanations for Query Answers under Existential RulesIsmail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius. 1639-1646 [doi]
• Semantic Characterization of Data Services through OntologiesGianluca Cima, Maurizio Lenzerini, Antonella Poggi. 1647-1653 [doi]
• Measuring the Likelihood of Numerical ConstraintsMarco Console, Matthias Hofer, Leonid Libkin. 1654-1660 [doi]
• From Statistical Transportability to Estimating the Effect of Stochastic InterventionsJuan D. Correa, Elias Bareinboim. 1661-1667 [doi]
• Answer Set Programming for Judgment AggregationRonald de Haan, Marija Slavkovik. 1668-1674 [doi]
• An ASP Approach to Generate Minimal Countermodels in Intuitionistic Propositional LogicCamillo Fiorentini. 1675-1681 [doi]
• Learning Description Logic Concepts: When can Positive and Negative Examples be Separated?Maurice Funk, Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter. 1682-1688 [doi]
• Aggressive Driving Saves More Time? Multi-task Learning for Customized Travel Time EstimationRuipeng Gao, Xiaoyu Guo, Fuyong Sun, Lin Dai, Jiayan Zhu, Chenxi Hu, Haibo Li. 1689-1696 [doi]
• Approximating Integer Solution Counting via Space Quantification for Linear ConstraintsCunjing Ge, Feifei Ma, Xutong Ma, Fan Zhang, Pei Huang, Jian Zhang. 1697-1703 [doi]
• Best Answers over Incomplete Data : Complexity and First-Order RewritingsAmélie Gheerbrant, Cristina Sirangelo. 1704-1710 [doi]
• On Division Versus Saturation in Pseudo-Boolean SolvingStephan Gocht, Jakob Nordström, Amir Yehudayoff. 1711-1718 [doi]
• On Finite and Unrestricted Query Entailment beyond SQ with Number Restrictions on Transitive RolesTomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmin Ibáñez-García, Jean Christoph Jung, Filip Murlak. 1719-1725 [doi]
• Belief Revision Operators with Varying Attitudes Towards Initial BeliefsAdrian Haret, Stefan Woltran. 1726-1733 [doi]
• Some Things are Easier for the Dumb and the Bright Ones (Beware the Average!)Wojciech Jamroga, Michal Knapik. 1734-1740 [doi]
• Converging on Common KnowledgeDominik Klein 0004, Rasmus Kræmmer Rendsvig. 1741-1748 [doi]
• Rational Inference Relations from Maximal Consistent Subsets SelectionSébastien Konieczny, Pierre Marquis, Srdjan Vesic. 1749-1755 [doi]
• How to Handle Missing Values in Multi-Criteria Decision Aiding?Christophe Labreuche, Sébastien Destercke. 1756-1763 [doi]
• A Tractable, Expressive, and Eventually Complete First-Order Logic of Limited BeliefGerhard Lakemeyer, Hector J. Levesque. 1764-1771 [doi]
• Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation ApproachWuwei Lan, Yanyan Xu, Bin Zhao. 1772-1778 [doi]
• Augmenting Transfer Learning with Semantic ReasoningFreddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen. 1779-1785 [doi]
• Revisiting Controlled Query Evaluation in Description LogicsDomenico Lembo, Riccardo Rosati, Domenico Fabio Savo. 1786-1792 [doi]
• Unit Selection Based on Counterfactual LogicAng Li, Judea Pearl. 1793-1799 [doi]
• Story Ending Prediction by Transferable BERTZhongyang Li, Xiao Ding, Ting Liu. 1800-1806 [doi]
• Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning MechanismWei Liu 0061, Zhi-jie Wang, Bin Yao 0002, Jian Yin. 1807-1813 [doi]
• Automatic Verification of FSA Strategies via Counterexample-Guided Local Search for InvariantsKailun Luo, Yongmei Liu 0001. 1814-1821 [doi]
• BiOWA for Preference Aggregation with Bipolar Scales: Application to Fair Optimization in Combinatorial DomainsHugo Martin, Patrice Perny. 1822-1828 [doi]
• Satisfaction and Implication of Integrity Constraints in Ontology-based Data AccessCharalampos Nikolaou, Bernardo Cuenca Grau, Egor V. Kostylev, Mark Kaminski, Ian Horrocks. 1829-1835 [doi]
• Monitoring of a Dynamic System Based on AutoencodersAomar Osmani, Massinissa Hamidi, Salah Bouhouche. 1836-1843 [doi]
• Boosting for Comparison-Based LearningMichaël Perrot, Ulrike von Luxburg. 1844-1850 [doi]
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• Belief Update without Compactness in Non-finitary LanguagesJandson S. Ribeiro, Abhaya Nayak, Renata Wassermann. 1858-1864 [doi]
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• Estimating Causal Effects of Tone in Online DebatesDhanya Sridhar, Lise Getoor. 1872-1878 [doi]
• Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous DrivingJakob Suchan, Mehul Bhatt, Srikrishna Varadarajan. 1879-1885 [doi]
• DatalogMTL: Computational Complexity and Expressive PowerPrzemyslaw Andrzej Walega, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev. 1886-1892 [doi]
• Cross-City Transfer Learning for Deep Spatio-Temporal PredictionLeye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang. 1893-1899 [doi]
• A Modal Characterization Theorem for a Probabilistic Fuzzy Description LogicPaul Wild, Lutz Schröder, Dirk Pattinson, Barbara König 0001. 1900-1906 [doi]
• Graph WaveNet for Deep Spatial-Temporal Graph ModelingZonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang. 1907-1913 [doi]
• Profit-driven Task Assignment in Spatial CrowdsourcingJinfu Xia, Yan Zhao 0008, Guanfeng Liu, Jiajie Xu, Min Zhang 0005, Kai Zheng 0001. 1914-1920 [doi]
• Boosting Causal Embeddings via Potential Verb-Mediated Causal PatternsZhipeng Xie, Feiteng Mu. 1921-1927 [doi]
• Graph Convolutional Networks using Heat Kernel for Semi-supervised LearningBingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng. 1928-1934 [doi]
• TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional SemanticsShihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin. 1935-1942 [doi]
• Neighborhood-Aware Attentional Representation for Multilingual Knowledge GraphsQiannan Zhu, Xiaofei Zhou, Jia Wu 0001, Jianlong Tan, Li Guo. 1943-1949 [doi]
• The Expected-Length Model of OptionsDavid Abel, John Winder, Marie desJardins, Michael L. Littman. 1951-1958 [doi]
• Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data SetsHomayun Afrabandpey, Tomi Peltola, Samuel Kaski. 1959-1966 [doi]
• Inter-node Hellinger Distance based Decision TreePritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib. 1967-1973 [doi]
• Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across ContextsHamoon Azizsoltani, Yeo-Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi. 1974-1980 [doi]
• STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand ForecastingLei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang 0001, Quan Z. Sheng. 1981-1987 [doi]
• Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph ProximityYunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen 0007, Yizhou Sun, Wei Wang. 1988-1994 [doi]
• Conditional GAN with Discriminative Filter Generation for Text-to-Video SynthesisYogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf. 1995-2001 [doi]
• An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view EnvironmentsElaheh Barati, Xuewen Chen. 2002-2008 [doi]
• Motion Invariance in Visual EnvironmentsAlessandro Betti, Marco Gori, Stefano Melacci. 2009-2015 [doi]
• Optimal Exploitation of Clustering and History Information in Multi-armed BanditDjallel Bouneffouf, Srinivasan Parthasarathy 0002, Horst Samulowitz, Martin Wistuba. 2016-2022 [doi]
• Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear RegressionNadjet Bourdache, Patrice Perny, Olivier Spanjaard. 2023-2029 [doi]
• A Gradient-Based Split Criterion for Highly Accurate and Transparent Model TreesKlaus Broelemann, Gjergji Kasneci. 2030-2037 [doi]
• Matrix Completion in the Unit Hypercube via Structured Matrix FactorizationEmanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh. 2038-2044 [doi]
• Active Learning within Constrained Environments through Imitation of an Expert QuestionerKalesha Bullard, Yannick Schroecker, Sonia Chernova. 2045-2052 [doi]
• Multi-View Active Learning for Video RecommendationJia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang. 2053-2059 [doi]
• Learning Disentangled Semantic Representation for Domain AdaptationRuichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang 0001, Zhifeng Hao. 2060-2066 [doi]
• Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph ClusteringBertrand Charpentier, Thomas Bonald. 2067-2073 [doi]
• FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real DataHaipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian. 2074-2080 [doi]
• Theoretical Investigation of Generalization Bound for Residual NetworksHao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang. 2081-2087 [doi]
• Learning Semantic Annotations for Tabular DataJiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton. 2088-2094 [doi]
• Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention NetworkLiang Chen, Yang Liu, Xiangnan He 0001, Lianli Gao, Zibin Zheng. 2095-2101 [doi]
• Cooperative Pruning in Cross-Domain Deep Neural Network CompressionShangyu Chen, Wenya Wang, Sinno Jialin Pan. 2102-2108 [doi]
• Extensible Cross-Modal HashingTian-Yi Chen, Lan Zhang, Shi-cong Zhang, Zi-long Li, Bai-chuan Huang. 2109-2115 [doi]
• Semi-supervised User Profiling with Heterogeneous Graph Attention NetworksWeijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He 0001, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang. 2116-2122 [doi]
• ActiveHNE: Active Heterogeneous Network EmbeddingXia Chen, Guoxian Yu, Jun Wang 0035, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang. 2123-2129 [doi]
• A Restart-based Rank-1 Evolution Strategy for Reinforcement LearningZefeng Chen, Yuren Zhou, Xiaoyu He, Siyu Jiang. 2130-2136 [doi]
• Co-Attentive Multi-Task Learning for Explainable RecommendationZhongxia Chen, Xiting Wang, Xing Xie 0001, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen. 2137-2143 [doi]
• Variational Graph Embedding and Clustering with Laplacian EigenmapsZitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou. 2144-2150 [doi]
• Deep Active Learning for Anchor User PredictionAnfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu 0001, Lei Li, Jianlong Tan, Li Guo 0001. 2151-2157 [doi]
• Success Prediction on Crowdfunding with Multimodal Deep LearningChaoran Cheng, Fei Tan, Xiurui Hou, Zhi Wei. 2158-2164 [doi]
• Approximate Optimal Transport for Continuous Densities with CopulasJinjin Chi, Jihong OuYang, XiMing Li, Yang Wang, Meng Wang. 2165-2171 [doi]
• Ornstein Auto-EncodersYoungwon Choi, Joong-Ho Won. 2172-2178 [doi]
• A Strongly Asymptotically Optimal Agent in General EnvironmentsMichael K. Cohen, Elliot Catt, Marcus Hutter. 2179-2186 [doi]
• Extrapolating Paths with Graph Neural NetworksJean-Baptiste Cordonnier, Andreas Loukas. 2187-2194 [doi]
• Recommending Links to Maximize the Influence in Social NetworksFederico Corò, Gianlorenzo D'Angelo, Yllka Velaj. 2195-2201 [doi]
• Three-Player Wasserstein GAN via Amortised DualityNhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung. 2202-2208 [doi]
• Learn Smart with Less: Building Better Online Decision Trees with Fewer Training ExamplesAriyam Das, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang 0010, Carlo Zaniolo. 2209-2215 [doi]
• IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video GenerationKangle Deng, Tianyi Fei, Xin Huang 0006, Yuxin Peng. 2216-2222 [doi]
• Marginal Posterior Sampling for Slate BanditsMaria Dimakopoulou, Nikos Vlassis, Tony Jebara. 2223-2229 [doi]
• Reinforced Negative Sampling for Recommendation with Exposure DataJingtao Ding, Yuhan Quan, Xiangnan He 0001, Yong Li 0008, Depeng Jin. 2230-2236 [doi]
• Group Reconstruction and Max-Pooling Residual Capsule NetworkXinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang. 2237-2243 [doi]
• Crafting Efficient Neural Graph of Large EntropyMinjing Dong, Hanting Chen, Yunhe Wang, Chang Xu 0002. 2244-2250 [doi]
• Joint Link Prediction and Network Alignment via Cross-graph EmbeddingXingbo Du, Junchi Yan, Hongyuan Zha. 2251-2257 [doi]
• Fast Algorithm for K-Truss Discovery on Public-Private GraphsSoroush Ebadian, Xin Huang. 2258-2264 [doi]
• Mindful Active LearningZhila Esna Ashari, Hassan Ghasemzadeh. 2265-2271 [doi]
• iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack OverflowYujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu. 2272-2278 [doi]
• Hybrid Actor-Critic Reinforcement Learning in Parameterized Action SpaceZhou Fan, Rui Su, Weinan Zhang 0001, Yong Yu 0001. 2279-2285 [doi]
• GSTNet: Global Spatial-Temporal Network for Traffic Flow PredictionShen Fang, Qi Zhang, Gaofeng Meng, Shiming Xiang, Chunhong Pan. 2286-2293 [doi]
• Partial Label Learning by Semantic Difference MaximizationLei Feng, Bo An. 2294-2300 [doi]
• Deep Session Interest Network for Click-Through Rate PredictionYufei Feng, FuYu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang. 2301-2307 [doi]
• Curriculum Learning for Cumulative Return MaximizationFrancesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti. 2308-2314 [doi]
• Advocacy Learning: Learning through Competition and Class-Conditional RepresentationsIan Fox, Jenna Wiens. 2315-2321 [doi]
• Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised HashingChaoyou Fu, Liangchen Song, Xiang Wu 0001, Guoli Wang, Ran He. 2322-2328 [doi]
• Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action SpacesHaotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan. 2329-2335 [doi]
• Automatic Successive Reinforcement Learning with Multiple Auxiliary RewardsZhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu. 2336-2342 [doi]
• RecoNet: An Interpretable Neural Architecture for Recommender SystemsFrancesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider. 2343-2349 [doi]
• Reward Learning for Efficient Reinforcement Learning in Extractive Document SummarisationYang Gao 0023, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych. 2350-2356 [doi]
• Fully Distributed Bayesian Optimization with Stochastic PoliciesJavier Garcia-Barcos, Ruben Martinez-Cantin. 2357-2363 [doi]
• Scalable Semi-Supervised SVM via Triply Stochastic GradientsXiang Geng, Bin Gu, Xiang Li 0012, Wanli Shi, Guansheng Zheng, Heng Huang. 2364-2370 [doi]
• Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision ProcessesMahsa Ghasemi, Ufuk Topcu. 2371-2377 [doi]
• Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level OptimizationJoachim Giesen, Frank Nussbaum, Christopher Schneider. 2378-2384 [doi]
• Using Natural Language for Reward Shaping in Reinforcement LearningPrasoon Goyal, Scott Niekum, Raymond J. Mooney. 2385-2391 [doi]
• Sketched Iterative Algorithms for Structured Generalized Linear ModelsQilong Gu, Arindam Banerjee. 2392-2398 [doi]
• SPINE: Structural Identity Preserved Inductive Network EmbeddingJunliang Guo, Linli Xu, Jingchang Liu. 2399-2405 [doi]
• Discriminative Sample Generation for Deep Imbalanced LearningTing Guo, Xingquan Zhu, Yang Wang 0002, Fang Chen. 2406-2412 [doi]
• Affine Equivariant AutoencoderXifeng Guo, En Zhu, Xinwang Liu, Jianping Yin. 2413-2419 [doi]
• AdaLinUCB: Opportunistic Learning for Contextual BanditsXueying Guo, Xiaoxiao Wang, Xin Liu. 2420-2427 [doi]
• Zero-shot Learning with Many Classes by High-rank Deep Embedding NetworksYuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai. 2428-2434 [doi]
• Landmark Selection for Zero-shot LearningYuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai. 2435-2441 [doi]
• MineRL: A Large-Scale Dataset of Minecraft DemonstrationsWilliam H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov. 2442-2448 [doi]
• Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian ProcessesJiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi. 2449-2455 [doi]
• Attribute Aware Pooling for Pedestrian Attribute RecognitionKai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu 0002. 2456-2462 [doi]
• Network Embedding under Partial Monitoring for Evolving NetworksYu Han, Jie Tang 0001, Qian Chen. 2463-2469 [doi]
• Deep Active Learning with Adaptive AcquisitionManuel Haußmann, Fred A. Hamprecht, Melih Kandemir. 2470-2476 [doi]
• One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial NetworksTao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song. 2477-2483 [doi]
• Deliberation Learning for Image-to-Image TranslationTianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen 0001. 2484-2490 [doi]
• Online Learning from Capricious Data Streams: A Generative ApproachYi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen 0008, Xindong Wu 0001. 2491-2497 [doi]
• Learning Topic Models by Neighborhood AggregationRyohei Hisano. 2498-2505 [doi]
• Group-based Learning of Disentangled Representations with Generalizability for Novel ContentsHaruo Hosoya. 2506-2513 [doi]
• Robust Learning from Noisy Side-information by Semidefinite ProgrammingEn-Liang Hu, Quanming Yao. 2514-2520 [doi]
• Hybrid Item-Item Recommendation via Semi-Parametric EmbeddingPeng Hu, Rong Du, Yao Hu, Nan Li. 2521-2527 [doi]
• Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound BanditYi-Qi Hu, Yang Yu 0001, Jun-Da Liao. 2528-2534 [doi]
• Deep Metric Learning: The Generalization Analysis and an Adaptive AlgorithmMengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang. 2535-2541 [doi]
• Privacy-aware Synthesizing for Crowdsourced DataMengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu 0001, Aidong Zhang. 2542-2548 [doi]
• Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth OptimizationFeihu Huang, Shangqian Gao, Songcan Chen, Heng Huang. 2549-2555 [doi]
• Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning RateHaiwen Huang, Chang Wang, Bin Dong. 2556-2562 [doi]
• Multi-view Spectral Clustering NetworkZhenyu Huang, Joey Tianyi Zhou, Xi Peng 0001, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv. 2563-2569 [doi]
• Conditions on Features for Temporal Difference-Like Methods to ConvergeMarcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed. 2570-2577 [doi]
• Entangled KernelsRiikka Huusari, Hachem Kadri. 2578-2584 [doi]
• Efficient Protocol for Collaborative Dictionary Learning in Decentralized NetworksTsuyoshi Idé, Rudy Raymond, Dzung T. Phan. 2585-2591 [doi]
• SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation SetsEugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng Tze Cheng, Tushar Chandra, Craig Boutilier. 2592-2599 [doi]
• Accelerating Extreme Classification via Adaptive Feature AgglomerationAnkit Jalan, Purushottam Kar. 2600-2606 [doi]
• Assumed Density Filtering Q-learningHeejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee. 2607-2613 [doi]
• Learning to Learn Gradient Aggregation by Gradient DescentJinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li 0001. 2614-2620 [doi]
• Patent Citation Dynamics Modeling via Multi-Attention Recurrent NetworksTaoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan. 2621-2627 [doi]
• Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland MonitoringXiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar. 2628-2634 [doi]
• Dynamic Hypergraph Neural NetworksJianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao. 2635-2641 [doi]
• Convolutional Gaussian Embeddings for Personalized Recommendation with UncertaintyJunyang Jiang, Deqing Yang, Yanghua Xiao, Chenlu Shen. 2642-2648 [doi]
• Robust Low-Tubal-Rank Tensor Completion via Convex OptimizationQiang Jiang, Michael Ng. 2649-2655 [doi]
• CensNet: Convolution with Edge-Node Switching in Graph Neural NetworksXiaodong Jiang, Pengsheng Ji, Sheng Li. 2656-2662 [doi]
• Network-Specific Variational Auto-Encoder for Embedding in Attribute NetworksDi Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang. 2663-2669 [doi]
• Hypergraph Induced Convolutional Manifold NetworksTaisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji. 2670-2676 [doi]
• Submodular Batch Selection for Training Deep Neural NetworksK. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian. 2677-2683 [doi]
• Obstacle Tower: A Generalization Challenge in Vision, Control, and PlanningArthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Ervin Teng, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange. 2684-2691 [doi]
• Interactive Teaching Algorithms for Inverse Reinforcement LearningParameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla. 2692-2700 [doi]
• Multiple Partitions Aligned ClusteringZhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu. 2701-2707 [doi]
• Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAIEoin M. Kenny, Mark T. Keane. 2708-2715 [doi]
• What to Expect of Classifiers? Reasoning about Logistic Regression with Missing FeaturesPasha Khosravi, Yitao Liang, Yoojung Choi, Guy Van den Broeck. 2716-2724 [doi]
• Outlier Detection for Time Series with Recurrent Autoencoder EnsemblesTung Kieu, Bin Yang 0002, Chenjuan Guo, Christian S. Jensen. 2725-2732 [doi]
• DeepMellow: Removing the Need for a Target Network in Deep Q-LearningSeungchan Kim, Kavosh Asadi, Michael L. Littman, George Konidaris. 2733-2739 [doi]
• Sequential and Diverse Recommendation with Long TailYejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu. 2740-2746 [doi]
• Single-Channel Signal Separation and Deconvolution with Generative Adversarial NetworksQiuqiang Kong, Yong Xu 0004, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley. 2747-2753 [doi]
• Autoregressive Policies for Continuous Control Deep Reinforcement LearningDmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra. 2754-2762 [doi]
• Adaptive Ensemble Active Learning for Drifting Data Stream MiningBartosz Krawczyk, Alberto Cano 0001. 2763-2771 [doi]
• Learning Sound Events from Webly Labeled DataAnurag Kumar 0003, Ankit Shah, Alexander G. Hauptmann, Bhiksha Raj. 2772-2778 [doi]
• Harnessing the Vulnerability of Latent Layers in Adversarially Trained ModelsNupur Kumari, Mayank Singh 0007, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian. 2779-2785 [doi]
• Perturbed-History Exploration in Stochastic Multi-Armed BanditsBranislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier. 2786-2793 [doi]
• Meta Reinforcement Learning with Task Embedding and Shared PolicyLin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang. 2794-2800 [doi]
• The Dangers of Post-hoc Interpretability: Unjustified Counterfactual ExplanationsThibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki. 2801-2807 [doi]
• Correlation-Sensitive Next-Basket RecommendationDuc-Trong Le, Hady W. Lauw, Yuan Fang. 2808-2814 [doi]
• Learning Multiple Maps from Conditional Ordinal TripletsDung D. Le, Hady W. Lauw. 2815-2822 [doi]
• Learning Generative Adversarial Networks from Multiple Data SourcesTrung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung. 2823-2829 [doi]
• Action Space Learning for Heterogeneous User Behavior PredictionDongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu. 2830-2836 [doi]
• Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional NetworksSeungWon Lee, James Stokes, Eric Eaton. 2837-2844 [doi]
• Similarity Preserving Representation Learning for Time Series ClusteringQi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon. 2845-2851 [doi]
• Differentially Private Optimal Transport: Application to Domain AdaptationNam LeTien, Amaury Habrard, Marc Sebban. 2852-2858 [doi]
• Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade ModelChang Li 0003, Maarten de Rijke. 2859-2865 [doi]
• A Review-Driven Neural Model for Sequential RecommendationChenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan. 2866-2872 [doi]
• Hierarchical Representation Learning for Bipartite GraphsChong Li, Kunyang Jia, Dan Shen, C.-J. Richard Shi, Hongxia Yang. 2873-2879 [doi]
• Multi-Class Learning using Unlabeled Samples: Theory and AlgorithmJian Li, Yong Liu, Rong Yin, Weiping Wang 0005. 2880-2886 [doi]
• Approximate Manifold Regularization: Scalable Algorithm and Generalization AnalysisJian Li, Yong Liu, Rong Yin, Weiping Wang 0005. 2887-2893 [doi]
• Dense Transformer Networks for Brain Electron Microscopy Image SegmentationJun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji. 2894-2900 [doi]
• Learning Interpretable Deep State Space Model for Probabilistic Time Series ForecastingLongyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin. 2901-2908 [doi]
• Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet LossPengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang. 2909-2915 [doi]
• Flexible Multi-View Representation Learning for Subspace ClusteringRuihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang. 2916-2922 [doi]
• Improved Algorithm on Online Clustering of BanditsShuai Li 0010, Wei Chen, Shuai Li 0011, Kwong-Sak Leung. 2923-2929 [doi]
• Linear Time Complexity Time Series Clustering with Symbolic Pattern ForestXiaosheng Li, Jessica Lin 0001, Liang Zhao. 2930-2936 [doi]
• Learning Network Embedding with Community Structural InformationYu Li, Ying Wang 0009, Tingting Zhang, Jiawei Zhang, Yi Chang. 2937-2943 [doi]
• ARMIN: Towards a More Efficient and Light-weight Recurrent Memory NetworkZhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li. 2944-2951 [doi]
• Deep Adversarial Multi-view Clustering NetworkZhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang. 2952-2958 [doi]
• GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional NetworksZiyao Li, Liang Zhang, Guojie Song. 2959-2965 [doi]
• Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and RetrievalXiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang. 2966-2972 [doi]
• Worst-Case Discriminative Feature SelectionShuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang. 2973-2979 [doi]
• Image-to-Image Translation with Multi-Path Consistency RegularizationJianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen 0001. 2980-2986 [doi]
• Balanced Clustering: A Uniform Model and Fast AlgorithmWeibo Lin, Zhu He, Mingyu Xiao. 2987-2993 [doi]
• Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial RobustnessChihuang Liu, Joseph JáJá. 2994-3000 [doi]
• Learning Instance-wise Sparsity for Accelerating Deep ModelsChuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu 0002. 3001-3007 [doi]
• Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm DistancesKai Liu 0018, Lodewijk Brand, Hua Wang 0007, Feiping Nie. 3008-3014 [doi]
• Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category GraphLu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang. 3015-3022 [doi]
• Margin Learning Embedded Prediction for Video Anomaly Detection with A Few AnomaliesWen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao. 3023-3030 [doi]
• Supervised Short-Length HashingXingbo Liu, Xiushan Nie, Quan Zhou, Xiaoming Xi, Lei Zhu 0002, Yilong Yin. 3031-3037 [doi]
• Graph and Autoencoder Based Feature Extraction for Zero-shot LearningYang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao. 3038-3044 [doi]
• Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling FactorYuanyuan Liu, Fanhua Shang, Licheng Jiao. 3045-3051 [doi]
• Omnidirectional Scene Text Detection with Sequential-free Box DiscretizationYuliang Liu, Sheng Zhang 0024, Lianwen Jin, Lele Xie, Yaqiang Wu, Zhepeng Wang. 3052-3058 [doi]
• Hi-Fi Ark: Deep User Representation via High-Fidelity Archive NetworkZheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie. 3059-3065 [doi]
• Learning Low-precision Neural Networks without Straight-Through Estimator (STE)Zhi-gang Liu, Matthew Mattina. 3066-3072 [doi]
• Parametric Manifold Learning of Gaussian Mixture ModelsZiquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan. 3073-3079 [doi]
• Multi-Objective Generalized Linear BanditsShiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang. 3080-3086 [doi]
• Knowledge Amalgamation from Heterogeneous Networks by Common Feature LearningSihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song. 3087-3093 [doi]
• E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series ImputationYonghong Luo, Ying Zhang 0015, Xiangrui Cai, Xiaojie Yuan. 3094-3100 [doi]
• Weakly Supervised Multi-Label Learning via Label EnhancementJiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng. 3101-3107 [doi]
• AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity RecognitionHaojie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu. 3109-3115 [doi]
• Monte Carlo Tree Search for Policy OptimizationXiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer. 3116-3122 [doi]
• Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local CorrelationYuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu. 3123-3129 [doi]
• On Principled Entropy Exploration in Policy OptimizationJincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller 0003. 3130-3136 [doi]
• Anytime Bottom-Up Rule Learning for Knowledge Graph CompletionChristian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt. 3137-3143 [doi]
• Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and RepresentationsKatherine Metcalf, David Leake. 3144-3150 [doi]
• Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue SystemsFei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings. 3151-3157 [doi]
• Robust Flexible Feature Selection via Exclusive L21 RegularizationDi Ming, Chris Ding. 3158-3164 [doi]
• Advantage Amplification in Slowly Evolving Latent-State EnvironmentsMartin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier. 3165-3172 [doi]
• Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and ControlJeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer. 3173-3179 [doi]
• DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical SystemsNikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan. 3180-3186 [doi]
• Outlier-Robust Multi-Aspect Streaming Tensor Completion and FactorizationMehrnaz Najafi, Lifang He 0001, Philip S. Yu. 3187-3194 [doi]
• Incremental Learning of Planning Actions in Model-Based Reinforcement LearningJun Hao Alvin Ng, Ronald P. A. Petrick. 3195-3201 [doi]
• Group LASSO with Asymmetric Structure Estimation for Multi-Task LearningSaullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben. 3202-3208 [doi]
• Hill Climbing on Value Estimates for Search-control in DynaYangchen Pan, Hengshuai Yao, Amir Massoud Farahmand, Martha White. 3209-3215 [doi]
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• Exploiting Interaction Links for Node Classification with Deep Graph Neural NetworksHogun Park, Jennifer Neville. 3223-3230 [doi]
• Improving Cross-lingual Entity Alignment via Optimal TransportShichao Pei, Lu Yu 0006, Xiangliang Zhang. 3231-3237 [doi]
• Fine-grained Event Categorization with Heterogeneous Graph Convolutional NetworksHao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu. 3238-3245 [doi]
• A Practical Semi-Parametric Contextual BanditYi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin. 3246-3252 [doi]
• Graph Space EmbeddingJoão Pereira, Albert K. Groen, Erik S. G. Stroes, Evgeni Levin. 3253-3259 [doi]
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• Improving representation learning in autoencoders via multidimensional interpolation and dual regularizationsSheng Qian, Guanyue Li, Wen-Ming Cao 0002, Cheng Liu 0001, Si Wu, Hau-San Wong. 3268-3274 [doi]
• Scalable Bayesian Non-linear Matrix CompletionXiangju Qin, Paul Blomstedt, Samuel Kaski. 3275-3281 [doi]
• Noise-Resilient Similarity Preserving Network Embedding for Social NetworksZhenYu Qiu, Wenbin Hu, Jia Wu 0001, Zhongzheng Tang, Xiaohua Jia. 3282-3288 [doi]
• Fairwalk: Towards Fair Graph EmbeddingTahleen Rahman, Bartlomiej Surma, Michael Backes 0001, Yang Zhang 0016. 3289-3295 [doi]
• Automated Machine Learning with Monte-Carlo Tree SearchHerilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag. 3296-3303 [doi]
• Successor Options: An Option Discovery Framework for Reinforcement LearningRahul Ramesh, Manan Tomar, Balaraman Ravindran. 3304-3310 [doi]
• Unifying the Stochastic and the Adversarial Bandits with KnapsackAnshuka Rangi, Massimo Franceschetti, Long Tran-Thanh. 3311-3317 [doi]
• Label distribution learning with label-specific featuresTingting Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li. 3318-3324 [doi]
• Label Distribution Learning with Label Correlations via Low-Rank ApproximationTingting Ren, Xiuyi Jia, Weiwei Li, Shu Zhao. 3325-3331 [doi]
• Closed-Loop Memory GAN for Continual LearningAmanda Rios, Laurent Itti. 3332-3338 [doi]
• Complementary Learning for Overcoming Catastrophic Forgetting Using Experience ReplayMohammad Rostami, Soheil Kolouri, Praveen K. Pilly. 3339-3345 [doi]
• Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding ModelChunyang Ruan, Jiangang Ma, Ye Wang, Yanchun Zhang, Yun Yang. 3346-3352 [doi]
• A Degeneracy Framework for Scalable Graph AutoencodersGuillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis. 3353-3359 [doi]
• Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich DocumentsRitesh Sarkhel, Arnab Nandi 0001. 3360-3366 [doi]
• SynthNet: Learning to Synthesize Music End-to-EndFlorin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey 0001. 3367-3374 [doi]
• Weakly Supervised Multi-task Learning for Semantic ParsingBo Shao, Yeyun Gong, Jun-Wei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan. 3375-3381 [doi]
• Community Detection and Link Prediction via Cluster-driven Low-rank Matrix CompletionJunming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang. 3382-3388 [doi]
• On the Effectiveness of Low Frequency PerturbationsYash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker. 3389-3396 [doi]
• A Part Power Set Model for Scale-Free Person RetrievalYunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang. 3397-3403 [doi]
• Rapid Performance Gain through Active Model ReuseFeng Shi, Yu-Feng Li. 3404-3410 [doi]
• A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient SparsificationShaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu. 3411-3417 [doi]
• Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC OptimizationWanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang. 3418-3424 [doi]
• Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement LearningWenjie Shi, Shiji Song, Cheng Wu. 3425-3431 [doi]
• Gradient Boosting with Piece-Wise Linear Regression TreesYu Shi, Jian Li, Zhize Li. 3432-3438 [doi]
• The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble LearningBonggun Shin, Hao Yang, Jinho D. Choi. 3439-3445 [doi]
• A Principled Approach for Learning Task Similarity in Multitask LearningChangjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné. 3446-3452 [doi]
• Structure Learning for Safe Policy ImprovementThiago D. Simão, Matthijs T. J. Spaan. 3453-3459 [doi]
• Play and Prune: Adaptive Filter Pruning for Deep Model CompressionPravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri. 3460-3466 [doi]
• Solving Continual Combinatorial Selection via Deep Reinforcement LearningHyungSeok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi. 3467-3474 [doi]
• Playing FPS Games With Environment-Aware Hierarchical Reinforcement LearningShihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu. 3475-3482 [doi]
• Parallel Wasserstein Generative Adversarial Nets with Multiple DiscriminatorsYuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu. 3483-3489 [doi]
• Finding Statistically Significant Interactions between Continuous FeaturesMahito Sugiyama, Karsten M. Borgwardt. 3490-3498 [doi]
• Fast and Robust Multi-View Multi-Task Learning via Group SparsityLu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka. 3499-3505 [doi]
• Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task LearningLu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka. 3506-3512 [doi]
• Adversarial Imitation Learning from Incomplete DemonstrationsMingfei Sun, Xiaojuan Ma. 3513-3519 [doi]
• Heavy-ball Algorithms Always Escape Saddle PointsTao Sun 0005, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou. 3520-3526 [doi]
• MEGAN: A Generative Adversarial Network for Multi-View Network EmbeddingYiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar. 3527-3533 [doi]
• Metric Learning on Healthcare Data with Incomplete ModalitiesQiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan 0006, Jing Gao 0004, Aidong Zhang. 3534-3540 [doi]
• HMLasso: Lasso with High Missing RateMasaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa. 3541-3547 [doi]
• Deeply-learned Hybrid Representations for Facial Age EstimationZichang Tan, Yang Yang, Jun Wan 0001, Guodong Guo, Stan Z. Li. 3548-3554 [doi]
• AugBoost: Gradient Boosting Enhanced with Step-Wise Feature AugmentationPhilip Tannor, Lior Rokach. 3555-3561 [doi]
• Adversarial Graph Embedding for Ensemble ClusteringZhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu 0001. 3562-3568 [doi]
• Hierarchical Inter-Attention Network for Document Classification with Multi-Task LearningBing Tian, Yong Zhang, Jin Wang, Chunxiao Xing. 3569-3575 [doi]
• Image Captioning with Compositional Neural Module NetworksJunjiao Tian, Jean Oh. 3576-3584 [doi]
• Imitation Learning from Video by Leveraging ProprioceptionFaraz Torabi, Garrett Warnell, Peter Stone. 3585-3591 [doi]
• Exchangeability and Kernel Invariance in Trained MLPsRussell Tsuchida, Fred Roosta, Marcus Gallagher. 3592-3598 [doi]
• Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active LearningEvgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov. 3599-3605 [doi]
• Object Detection based Deep Unsupervised HashingRong-Cheng Tu, Xianling Mao, Bo-Si Feng, Shu-ying Yu. 3606-3612 [doi]
• Ensemble-based Ultrahigh-dimensional Variable ScreeningWei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian. 3613-3619 [doi]
• Learning to Interpret Satellite Images using WikipediaBurak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon. 3620-3626 [doi]
• DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment AnalysisSunny Verma, Chen Wang 0008, Liming Zhu, Wei Liu. 3627-3634 [doi]
• Interpolation Consistency Training for Semi-supervised LearningVikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz. 3635-3641 [doi]
• Sharing Experience in Multitask Reinforcement LearningTung Long Vuong, Do Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu, Viet Cuong Ta, Quoc-Long Tran, Thanh-Ha Le. 3642-3648 [doi]
• Planning with Expectation ModelsYi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton. 3649-3655 [doi]
• Recurrent Existence Determination Through Policy OptimizationBaoxiang Wang. 3656-3662 [doi]
• Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation ApproachBin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang. 3663-3669 [doi]
• Attributed Graph Clustering: A Deep Attentional Embedding ApproachChun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang. 3670-3676 [doi]
• Spectral Perturbation Meets Incomplete Multi-view DataHao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou. 3677-3683 [doi]
• Measuring Structural Similarities in Finite MDPsHao Wang, Shaokang Dong, Ling Shao 0001. 3684-3690 [doi]
• Discriminative and Correlative Partial Multi-Label LearningHaobo Wang, Weiwei Liu 0003, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen. 3691-3697 [doi]
• DMRAN: A Hierarchical Fine-Grained Attention-Based Network for RecommendationHuizhao Wang, Guanfeng Liu, An Liu 0002, Zhixu Li, Kai Zheng 0001. 3698-3704 [doi]
• CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial MarketsJia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu. 3705-3711 [doi]
• Classification with Label Distribution LearningJing Wang, Xin Geng. 3712-3718 [doi]
• Attributed Subspace ClusteringJing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi. 3719-3725 [doi]
• Deep Cascade Generation on Point SetsKaiqi Wang, Ke Chen 0004, Kui Jia. 3726-3732 [doi]
• Discrete Binary Coding based Label Distribution LearningKe Wang, Xin Geng. 3733-3739 [doi]
• Differentially Private Iterative Gradient Hard Thresholding for Sparse LearningLingxiao Wang, Quanquan Gu. 3740-3747 [doi]
• MUSICAL: Multi-Scale Image Contextual Attention Learning for InpaintingNing Wang, Jingyuan Li, Lefei Zhang, Bo Du. 3748-3754 [doi]
• Partial Label Learning with Unlabeled DataQian-Wei Wang, Yu-Feng Li, Zhi-Hua Zhou. 3755-3761 [doi]
• Heterogeneous Graph Matching Networks for Unknown Malware DetectionShen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu. 3762-3770 [doi]
• Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing NetworksShoujin Wang, Liang Hu 0004, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao. 3771-3777 [doi]
• Multi-view Clustering via Late Fusion Alignment MaximizationSiwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin. 3778-3784 [doi]
• COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level PruningWenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He. 3785-3791 [doi]
• Position Focused Attention Network for Image-Text MatchingYaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan. 3792-3798 [doi]
• Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged NetworksYun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun. 3799-3805 [doi]
• Weak Supervision Enhanced Generative Network for Question GenerationYutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao 0001, Yueting Zhuang. 3806-3812 [doi]
• Unified Embedding Model over Heterogeneous Information Network for Personalized RecommendationZekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang. 3813-3819 [doi]
• Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent DemonstrationsZhaodong Wang, Matthew E. Taylor. 3820-3827 [doi]
• Hierarchical Diffusion Attention NetworkZhitao Wang, Wenjie Li. 3828-3834 [doi]
• Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized RankingNirandika Wanigasekara, Yuxuan Liang, Siong-Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum. 3835-3841 [doi]
• Learning for Tail Label Data: A Label-Specific Feature ApproachTong Wei, Wei-Wei Tu, Yu-Feng Li. 3842-3848 [doi]
• Bayesian Uncertainty Matching for Unsupervised Domain AdaptationJun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen. 3849-3855 [doi]
• RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend FilteringQingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun 0001, Jian Tan. 3856-3862 [doi]
• Neural News Recommendation with Attentive Multi-View LearningChuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie. 3863-3869 [doi]
• PD-GAN: Adversarial Learning for Personalized Diversity-Promoting RecommendationQiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan. 3870-3876 [doi]
• Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social TrustQitian Wu, Lei Jiang, Xiaofeng Gao, Xiaochun Yang 0001, Guihai Chen. 3877-3883 [doi]
• Multi-View Multi-Label Learning with View-Specific Information ExtractionXuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang, Xiaobo Wang, Min-Ling Zhang. 3884-3890 [doi]
• Trend-Aware Tensor Factorization for Job Skill Demand AnalysisXunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong. 3891-3897 [doi]
• Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship InferenceYongji Wu, Defu Lian, Shuowei Jin, Enhong Chen. 3898-3904 [doi]
• BPAM: Recommendation Based on BP Neural Network with Attention MechanismWu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai. 3905-3911 [doi]
• Incremental Few-Shot Learning for Pedestrian Attribute RecognitionLiuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li. 3912-3918 [doi]
• Reparameterizable Subset Sampling via Continuous RelaxationsSang Michael Xie, Stefano Ermon. 3919-3925 [doi]
• CFM: Convolutional Factorization Machines for Context-Aware RecommendationXin Xin, Bo Chen, Xiangnan He 0001, Dong Wang, Yue Ding, Joemon Jose. 3926-3932 [doi]
• Adversarial Incomplete Multi-view ClusteringCai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling. 3933-3939 [doi]
• Graph Contextualized Self-Attention Network for Session-based RecommendationChengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou. 3940-3946 [doi]
• Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed GraphsDongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang 0001. 3947-3953 [doi]
• Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual DiscriminatorsHan Xu, Pengwei Liang, Wei Yu, Junjun Jiang, Jiayi Ma 0001. 3954-3960 [doi]
• Topology Attack and Defense for Graph Neural Networks: An Optimization PerspectiveKaidi Xu, Hongge Chen, Sijia Liu 0001, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin. 3961-3967 [doi]
• MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity InteractionsNuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao. 3968-3974 [doi]
• Commit Message Generation for Source Code ChangesShengbin Xu, Yuan Yao 0001, Feng Xu 0007, Tianxiao Gu, Hanghang Tong, Jian Lu 0001. 3975-3981 [doi]
• Latent Semantics Encoding for Label Distribution LearningSuping Xu, Lin Shang, Furao Shen. 3982-3988 [doi]
• Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph PropagationXiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu. 3989-3995 [doi]
• Zero-shot Metric LearningXinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng. 3996-4002 [doi]
• On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex MinimizationYi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang. 4003-4009 [doi]
• Transfer of Temporal Logic Formulas in Reinforcement LearningZhe Xu 0005, Ufuk Topcu. 4010-4018 [doi]
• Deep Spectral Kernel LearningHui Xue, Zheng-Fan Wu, Wei-Xiang Sun. 4019-4025 [doi]
• Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised ClassificationZhe Xue, Junping Du, Dawei Du, Wenqi Ren, Siwei Lyu. 4026-4032 [doi]
• Multi-scale Information Diffusion Prediction with Reinforced Recurrent NetworksCheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu 0001. 4033-4039 [doi]
• Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted MethodHaoxuan Yang, Kai Liu, Hua Wang, Feiping Nie. 4040-4046 [doi]
• Low-Bit Quantization for Attributed Network Representation LearningHong Yang, Shirui Pan, Ling Chen 0006, Chuan Zhou, Peng Zhang 0001. 4047-4053 [doi]
• Topology Optimization based Graph Convolutional NetworkLiang Yang 0002, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang 0002, Yuanfang Guo. 4054-4061 [doi]
• Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by TopologyLiang Yang 0002, Zhiyang Chen, Junhua Gu, Yuanfang Guo. 4062-4069 [doi]
• Masked Graph Convolutional NetworkLiang Yang 0002, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo. 4070-4077 [doi]
• Deep Multi-Task Learning with Adversarial-and-Cooperative NetsPei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He. 4078-4084 [doi]
• Legal Judgment Prediction via Multi-Perspective Bi-Feedback NetworkWenmian Yang, Weijia Jia, Xiaojie Zhou, Yutao Luo. 4085-4091 [doi]
• Comprehensive Semi-Supervised Multi-Modal LearningYang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang 0001. 4092-4098 [doi]
• SPAGAN: Shortest Path Graph Attention NetworkYiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao. 4099-4105 [doi]
• On the Estimation of Treatment Effect with Text CovariatesLiuyi Yao, Sheng Li 0001, Yaliang Li, Hongfei Xue, Jing Gao 0004, Aidong Zhang. 4106-4113 [doi]
• Privacy-Preserving Stacking with Application to Cross-organizational Diabetes PredictionQuanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang 0001. 4114-4120 [doi]
• Multi-View Multiple ClusteringShixin Yao, Guoxian Yu, Jun Wang 0035, Carlotta Domeniconi, Xiangliang Zhang. 4121-4127 [doi]
• Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task TeachersJingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song. 4128-4134 [doi]
• A Vectorized Relational Graph Convolutional Network for Multi-Relational Network AlignmentRui Ye, Xin Li 0033, Yujie Fang, Hongyu Zang, Mingzhong Wang. 4135-4141 [doi]
• Distributed Collaborative Feature Selection Based on Intermediate RepresentationXiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai. 4142-4149 [doi]
• Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware DetectionYanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao. 4150-4156 [doi]
• Neural Network based Continuous Conditional Random Field for Fine-grained Crime PredictionFei Yi, Zhiwen Yu 0001, Fuzhen Zhuang, Bin Guo. 4157-4163 [doi]
• BN-invariant Sharpness Regularizes the Training Model to Better GeneralizationMingyang Yi, Huishuai Zhang, Wei Chen 0034, Zhi-Ming Ma, Tie-Yan Liu. 4164-4170 [doi]
• Geometric Understanding for Unsupervised Subspace LearningShihui Ying, Lipeng Cai, Changzhou He, Yaxin Peng. 4171-4177 [doi]
• Belief Propagation Network for Hard Inductive Semi-Supervised LearningJaemin Yoo, Hyunsik Jeon, U. Kang. 4178-4184 [doi]
• Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning ControlKenny Young, Baoxiang Wang, Matthew E. Taylor. 4185-4191 [doi]
• Semi-supervised Three-dimensional Reconstruction Framework with GANChong Yu. 4192-4198 [doi]
• Interpreting and Evaluating Neural Network RobustnessFuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen. 4199-4205 [doi]
• VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational AutoencodersXianwen Yu, Xiaoning Zhang, Yang Cao, Min Xia. 4206-4212 [doi]
• Adaptive User Modeling with Long and Short-Term Preferences for Personalized RecommendationZeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie 0001. 4213-4219 [doi]
• Progressive Transfer Learning for Person Re-identificationZhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua. 4220-4226 [doi]
• DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating PatternsFeng Yuan, Lina Yao, Boualem Benatallah. 4227-4233 [doi]
• KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural NetworkLinghua Zeng, Zhangcheng Wang, Xinmei Tian. 4234-4242 [doi]
• Experience Replay OptimizationDaochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu. 4243-4249 [doi]
• Positive and Unlabeled Learning with Label DisambiguationChuang Zhang, DeXin Ren, Tongliang Liu, Jian Yang 0003, Chen Gong 0002. 4250-4256 [doi]
• Generalized Majorization-Minimization for Non-Convex OptimizationHu Zhang, Pan Zhou, Yi Yang, Jiashi Feng. 4257-4263 [doi]
• STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender SystemsJiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King. 4264-4270 [doi]
• Light-Weight Hybrid Convolutional Network for Liver Tumor SegmentationJianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen. 4271-4277 [doi]
• ProNE: Fast and Scalable Network Representation LearningJie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding. 4278-4284 [doi]
• Towards Robust ResNet: A Small Step but a Giant LeapJingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan S. Kankanhalli. 4285-4291 [doi]
• High Dimensional Bayesian Optimization via Supervised Dimension ReductionMiao Zhang, Huiqi Li, Steven W. Su. 4292-4298 [doi]
• Efficient Non-parametric Bayesian Hawkes ProcessesRui Zhang, Christian Walder, Marian-Andrei Rizoiu, Lexing Xie. 4299-4305 [doi]
• Inferring Substitutable Products with Deep Network EmbeddingShijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen. 4306-4312 [doi]
• Quaternion Collaborative Filtering for RecommendationShuai Zhang 0007, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay. 4313-4319 [doi]
• Feature-level Deeper Self-Attention Network for Sequential RecommendationTingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou. 4320-4326 [doi]
• Attributed Graph Clustering via Adaptive Graph ConvolutionXiaotong Zhang 0003, Han Liu, Qimai Li, Xiao-Ming Wu. 4327-4333 [doi]
• InteractionNN: A Neural Network for Learning Hidden Features in Sparse PredictionXiaowang Zhang, Qiang Gao, Zhiyong Feng. 4334-4340 [doi]
• Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality PredictionYawen Zhang, Qin Lv, Duanfeng Gao, Si Shen, Robert P. Dick, Michael Hannigan, Qi Liu. 4341-4347 [doi]
• Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch SizesYikai Zhang, Hui Qu, Chao Chen 0012, Dimitris N. Metaxas. 4348-4354 [doi]
• Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask StructureYipeng Zhang, Bo Du, Lefei Zhang, Rongchun Li, Yong Dou. 4355-4361 [doi]
• DANE: Domain Adaptive Network EmbeddingYizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin. 4362-4368 [doi]
• ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression ModelingYuan Zhang, Xi Yang, Julie S. Ivy, Min Chi. 4369-4375 [doi]
• Scalable Block-Diagonal Locality-Constrained Projective Dictionary LearningZhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li 0001, Guangcan Liu, Jie Qin. 4376-4382 [doi]
• Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention NetworksZhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He. 4383-4389 [doi]
• Localizing Unseen Activities in Video via Image QueryZhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai. 4390-4396 [doi]
• Multi-Prototype Networks for Unconstrained Set-based Face RecognitionJian Zhao 0006, Jianshu Li, Xiaoguang Tu, Fang Zhao 0006, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng. 4397-4403 [doi]
• GAN-EM: GAN Based EM Learning FrameworkWentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi 0005, Chenliang Xu. 4404-4411 [doi]
• Large Scale Evolving Graphs with Burst DetectionYifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang 0001. 4412-4418 [doi]
• AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCNLi Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao. 4419-4425 [doi]
• Metadata-driven Task Relation Discovery for Multi-task LearningZimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang. 4426-4432 [doi]
• BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time SeriesBin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye. 4433-4439 [doi]
• Latent Distribution Preserving Deep Subspace ClusteringLei Zhou, Xiao Bai 0001, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock. 4440-4446 [doi]
• Reinforcement Learning Experience Reuse with Policy Residual RepresentationWen-Ji Zhou, Yang Yu 0001, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou. 4447-4453 [doi]
• Collaborative Metric Learning with Memory Network for Multi-Relational Recommender SystemsXiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie 0001. 4454-4460 [doi]
• One-Shot Texture Retrieval with Global Context MetricKai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao 0010. 4461-4467 [doi]
• HDI-Forest: Highest Density Interval Regression ForestLin Zhu, Jiaxing Lu, Yihong Chen. 4468-4474 [doi]
• Prediction of Mild Cognitive Impairment Conversion Using Auxiliary InformationXiaofeng Zhu. 4475-4481 [doi]
• Simultaneous Representation Learning and Clustering for Incomplete Multi-view DataWenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi. 4482-4488 [doi]
• Persistence Bag-of-Words for Topological Data AnalysisBartosz Zielinski 0001, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko. 4489-4495 [doi]
• Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous DomainsMatthieu Zimmer, Paul Weng. 4496-4502 [doi]
• Predicting the Visual Focus of Attention in Multi-Person Discussion VideosChongyang Bai, Srijan Kumar, Jure Leskovec, Miriam Metzger, Jay F. Nunamaker Jr., V. S. Subrahmanian. 4504-4510 [doi]
• A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix FactorizationZhihuai Chen, Yinan Li, Xiaoming Sun, Pei Yuan, Jialin Zhang. 4511-4517 [doi]
• MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction PredictionXu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao. 4518-4524 [doi]
• Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many ConstraintsJoachim Giesen, Sören Laue. 4525-4531 [doi]
• Hierarchical Graph Convolutional Networks for Semi-supervised Node ClassificationFenyu Hu, Yanqiao Zhu 0001, Shu Wu, Liang Wang, Tieniu Tan. 4532-4539 [doi]
• Playing Card-Based RTS Games with Deep Reinforcement LearningTianyu Liu, Zijie Zheng, Hongchang Li, Kaigui Bian, Lingyang Song. 4540-4546 [doi]
• FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence PowerZhongzhou Liu, Wenbin Hu. 4547-4553 [doi]
• Pseudo Supervised Matrix Factorization in Discriminative SubspaceJiaqi Ma, Yipeng Zhang, Lefei Zhang, Bo Du, Dapeng Tao. 4554-4560 [doi]
• Representation Learning-Assisted Click-Through Rate PredictionWentao Ouyang, Xiuwu Zhang, Shukui Ren, Chao Qi, Zhaojie Liu, Yanlong Du. 4561-4567 [doi]
• Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional NetworksWei Qiu, Haipeng Chen, Bo An. 4568-4574 [doi]
• FireCast: Leveraging Deep Learning to Predict Wildfire SpreadDavid Radke, Anna Hessler, Dan Ellsworth. 4575-4581 [doi]
• Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient DescentShuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng. 4582-4589 [doi]
• Randomized Adversarial Imitation Learning for Autonomous DrivingMyungjae Shin, Joongheon Kim. 4590-4596 [doi]
• Scaling Fine-grained Modularity Clustering for Massive GraphsHiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa. 4597-4604 [doi]
• Node Embedding over Temporal GraphsUriel Singer, Ido Guy, Kira Radinsky. 4605-4612 [doi]
• Medical Concept Embedding with Multiple Ontological RepresentationsLihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon. 4613-4619 [doi]
• Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for RecommendationYanan Xu, Yanmin Zhu, Yanyan Shen, Jiadi Yu. 4620-4626 [doi]
• Dual-Path in Dual-Path Network for Single Image DehazingAiping Yang, Haixin Wang, Zhong Ji, Yanwei Pang, Ling Shao 0001. 4627-4634 [doi]
• Disparity-preserved Deep Cross-platform Association for Cross-platform Video RecommendationShengze Yu, Xin Wang, Wenwu Zhu 0001, Peng Cui 0001, Jingdong Wang. 4635-4641 [doi]
• Predicting dominance in multi-person videosChongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian. 4643-4650 [doi]
• Procedural Generation of Initial States of SokobanDâmaris S. Bento, André G. Pereira, Levi H. S. Lelis. 4651-4657 [doi]
• DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural NetworksHuili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar. 4658-4664 [doi]
• VulSniper: Focus Your Attention to Shoot Fine-Grained VulnerabilitiesXu Duan, JingZheng Wu, Shouling Ji, Zhiqing Rui, Tianyue Luo, Mutian Yang, Yanjun Wu. 4665-4671 [doi]
• Real-Time Adversarial AttacksYuan Gong, Boyang Li, Christian Poellabauer, Yiyu Shi. 4672-4680 [doi]
• Explainable Fashion Recommendation: A Semantic Attribute Region Guided ApproachMin Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu. 4681-4688 [doi]
• Model-Agnostic Adversarial Detection by Random PerturbationsBo Huang, Yi Wang, Wei Wang 0011. 4689-4696 [doi]
• Musical Composition Style Transfer via Disentangled Timbre RepresentationsYun-Ning Hung, I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang. 4697-4703 [doi]
• Multiple Policy Value Monte Carlo Tree SearchLi-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu. 4704-4710 [doi]
• Robustra: Training Provable Robust Neural Networks over Reference Adversarial SpaceLinyi Li, Zexuan Zhong, Bo Li, Tao Xie 0001. 4711-4717 [doi]
• Dilated Convolution with Dilated GRU for Music Source SeparationJen-Yu Liu, Yi-Hsuan Yang. 4718-4724 [doi]
• Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural NetworksTianlong Liu, Yu Qi, Liang Shi, Jianan Yan. 4725-4731 [doi]
• Data Poisoning against Differentially-Private Learners: Attacks and DefensesYuzhe Ma, Xiaojin Zhu 0001, Justin Hsu. 4732-4738 [doi]
• LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured LogsWeibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou. 4739-4745 [doi]
• Decidability of Model Checking Multi-Agent Systems with Regular Expressions against Epistemic HS SpecificationsJakub Michaliszyn, Piotr Witkowski 0001. 4746-4752 [doi]
• Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable RobustnessNhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai. 4753-4759 [doi]
• Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault LocalizationSofia Reis, Rui Abreu, Marcelo d'Amorim. 4760-4766 [doi]
• Equally-Guided Discriminative Hashing for Cross-modal RetrievalYufeng Shi, Xinge You, Feng Zheng, Shuo Wang, Qinmu Peng. 4767-4773 [doi]
• A Privacy Preserving Collusion Secure DCOP AlgorithmTamir Tassa, Tal Grinshpoun, Avishai Yanay. 4774-4780 [doi]
• Two-Stage Generative Models of Simulating Training Data at The Voxel Level for Large-Scale Microscopy Bioimage SegmentationDeli Wang, Ting Zhao, Nenggan Zheng, Zhefeng Gong. 4781-4787 [doi]
• Lower Bound of Locally Differentially Private Sparse Covariance Matrix EstimationDi Wang, Jinhui Xu 0001. 4788-4794 [doi]
• Principal Component Analysis in the Local Differential Privacy ModelDi Wang, Jinhui Xu 0001. 4795-4801 [doi]
• Binarized Collaborative Filtering with Distilling Graph Convolutional NetworkHaoyu Wang, Defu Lian, Yong Ge. 4802-4808 [doi]
• Novel Collaborative Filtering Recommender Friendly to Privacy ProtectionJun Wang 0020, Qiang Tang 0001, Afonso Arriaga, Peter Y. A. Ryan. 4809-4815 [doi]
• Adversarial Examples for Graph Data: Deep Insights into Attack and DefenseHuijun Wu, Chen Wang 0008, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu. 4816-4823 [doi]
• FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural NetworksQi Xia, Zeyi Tao, Zijiang Hao, Qun Li. 4824-4830 [doi]
• BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN InferencePeichen Xie, Bingzhe Wu, Guangyu Sun 0003. 4831-4837 [doi]
• Toward Efficient Navigation of Massive-Scale Geo-Textual StreamsChengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu 0001, Li Liu, Ling Shao 0001. 4838-4845 [doi]
• Temporal Pyramid Pooling Convolutional Neural Network for Cover Song IdentificationZhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang. 4846-4852 [doi]
• Data Poisoning Attack against Knowledge Graph EmbeddingHengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren 0001. 4853-4859 [doi]
• On Privacy Protection of Latent Dirichlet Allocation Model TrainingFangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang. 4860-4866 [doi]
• K-Core Maximization: An Edge Addition ApproachZhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang, Chen Chen 0017. 4867-4873 [doi]
• Pivotal Relationship Identification: The K-Truss Minimization ProblemWeijie Zhu, Mengqi Zhang, Chen Chen 0017, Xiaoyang Wang 0002, Fan Zhang, Xuemin Lin. 4874-4880 [doi]
• Early Discovery of Emerging Entities in MicroblogsSatoshi Akasaki, Naoki Yoshinaga 0001, Masashi Toyoda. 4882-4889 [doi]
• Neural Program Induction for KBQA Without Gold Programs or Query AnnotationsGhulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti. 4890-4896 [doi]
• Medical Concept Representation Learning from Multi-source DataTian Bai, Brian L. Egleston, Richard Bleicher, Slobodan Vucetic. 4897-4903 [doi]
• Multi-Domain Sentiment Classification Based on Domain-Aware Embedding and AttentionYitao Cai, Xiaojun Wan 0001. 4904-4910 [doi]
• A Latent Variable Model for Learning Distributional Relation VectorsJosé Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert. 4911-4917 [doi]
• Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping SelectionChaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu. 4918-4924 [doi]
• Sentiment-Controllable Chinese Poetry GenerationHuimin Chen, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Zhipeng Guo. 4925-4931 [doi]
• From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual PivotsShizhe Chen, Qin Jin, Jianlong Fu. 4932-4938 [doi]
• Learning towards Abstractive Timeline SummarizationXiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao 0001, Rui Yan. 4939-4945 [doi]
• Coreference Aware Representation Learning for Neural Named Entity RecognitionZeyu Dai, Hongliang Fei, Ping Li 0001. 4946-4953 [doi]
• Learning Assistance from an Adversarial Critic for Multi-Outputs PredictionYue Deng, Yilin Shen, Hongxia Jin. 4954-4960 [doi]
• End-to-End Multi-Perspective Matching for Entity ResolutionCheng Fu, Xianpei Han, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong. 4961-4967 [doi]
• Difficulty Controllable Generation of Reading Comprehension QuestionsYiFan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King. 4968-4974 [doi]
• Modeling Source Syntax and Semantics for Neural AMR ParsingDongLai Ge, Junhui Li, Muhua Zhu, Shoushan Li. 4975-4981 [doi]
• CNN-Based Chinese NER with Lexicon RethinkingTao Gui, Ruotian Ma, Qi Zhang 0001, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang. 4982-4988 [doi]
• Dual Visual Attention Network for Visual DialogDan Guo, Hui Wang, Meng Wang. 4989-4995 [doi]
• AmazonQA: A Review-Based Question Answering TaskMansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton. 4996-5002 [doi]
• Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human ExpertsOktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz 0001. 5003-5009 [doi]
• GSN: A Graph-Structured Network for Multi-Party DialoguesWenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao 0001, Jinwen Ma, Rui Yan. 5010-5016 [doi]
• Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationTing Huang, Gehui Shen, Zhi-Hong Deng. 5017-5023 [doi]
• Relation Extraction Using Supervision from Topic Knowledge of Relation LabelsHaiyun Jiang, Li Cui, Zhe Xu, Deqing Yang, Jindong Chen, Chenguang Li, JingPing Liu, Jiaqing Liang, Chao Wang, Yanghua Xiao, Wei Wang 0009. 5024-5030 [doi]
• Representation Learning with Weighted Inner Product for Universal Approximation of General SimilaritiesGeewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira. 5031-5038 [doi]
• Incorporating Structural Information for Better Coreference ResolutionFang Kong, Fu Jian. 5039-5045 [doi]
• Knowledge Base Question Answering with Topic UnitsYunshi Lan, Shuohang Wang, Jing Jiang 0001. 5046-5052 [doi]
• Adversarial Transfer for Named Entity Boundary Detection with Pointer NetworksJing Li 0034, Deheng Ye, Shuo Shang. 5053-5059 [doi]
• Towards Discriminative Representation Learning for Speech Emotion RecognitionRunnan Li, Zhiyong Wu, Jia Jia 0001, Yaohua Bu, Sheng Zhao, Helen Meng. 5060-5066 [doi]
• Self-attentive Biaffine Dependency ParsingYing Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 5067-5073 [doi]
• Reading selectively via Binary Input Gated Recurrent UnitZhe Li, Peisong Wang, Hanqing Lu, Jian Cheng. 5074-5080 [doi]
• Learning to Select Knowledge for Response Generation in Dialog SystemsRongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu. 5081-5087 [doi]
• Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment ClassificationPeiqin Lin, Meng Yang, Jianhuang Lai. 5088-5094 [doi]
• Exploring and Distilling Cross-Modal Information for Image CaptioningFenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun 0001. 5095-5101 [doi]
• Network Embedding with Dual Generation TasksJie Liu, Na Li, Zhicheng He. 5102-5108 [doi]
• Building Personalized Simulator for Interactive SearchQianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong. 5109-5115 [doi]
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• Unsupervised Neural Aspect Extraction with SememesLing Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu. 5123-5129 [doi]
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• Aspect-Based Sentiment Classification with Attentive Neural Turing MachinesQianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang. 5139-5145 [doi]
• Learning Task-Specific Representation for Novel Words in Sequence LabelingMinlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, JinLan Fu, Xuanjing Huang. 5146-5152 [doi]
• Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow ControlAmir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou. 5153-5159 [doi]
• Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment AnalysisXiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang. 5160-5167 [doi]
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• Knowledge Aware Semantic Concept Expansion for Image-Text MatchingBotian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan. 5182-5189 [doi]
• Exploiting Persona Information for Diverse Generation of Conversational ResponsesHaoyu Song, Wei-Nan Zhang, Yiming Cui, Dong Wang, Ting Liu. 5190-5196 [doi]
• Cold-Start Aware Deep Memory Network for Multi-Entity Aspect-Based Sentiment AnalysisKaisong Song, Wei Gao 0001, Lujun Zhao, Jun Lin, Changlong Sun, Xiaozhong Liu. 5197-5203 [doi]
• GANs for Semi-Supervised Opinion Spam DetectionGray Stanton, Athirai Aravazhi Irissappane. 5204-5210 [doi]
• PRoFET: Predicting the Risk of Firms from Event TranscriptsChristoph Kilian Theil, Samuel Broscheit, Heiner Stuckenschmidt. 5211-5217 [doi]
• Unsupervised Embedding Enhancements of Knowledge Graphs using Textual AssociationsNeil Veira, Brian Keng, Kanchana Padmanabhan, Andreas G. Veneris. 5218-5225 [doi]
• Swell-and-Shrink: Decomposing Image Captioning by Transformation and SummarizationHanzhang Wang, Hanli Wang, Kaisheng Xu. 5226-5232 [doi]
• T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story CompletionTianming Wang, Xiaojun Wan 0001. 5233-5239 [doi]
• Robust Embedding with Multi-Level Structures for Link PredictionZihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu. 5240-5246 [doi]
• Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map GenerationYang Wei, Honglei Guo, Jin-Mao Wei, Zhong Su. 5247-5254 [doi]
• Correct-and-Memorize: Learning to Translate from Interactive RevisionsRongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen. 5255-5263 [doi]
• Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting ApproachJunshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai. 5264-5270 [doi]
• Mask and Infill: Applying Masked Language Model for Sentiment TransferXing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu. 5271-5277 [doi]
• Relation-Aware Entity Alignment for Heterogeneous Knowledge GraphsYuting Wu, Xiao Liu, Yansong Feng, Zheng Wang 0001, Rui Yan, Dongyan Zhao 0001. 5278-5284 [doi]
• RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause ExtractionRui Xia, Mengran Zhang, Zixiang Ding. 5285-5291 [doi]
• Sharing Attention Weights for Fast TransformerTong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu 0001, Tongran Liu. 5292-5298 [doi]
• A Goal-Driven Tree-Structured Neural Model for Math Word ProblemsZhipeng Xie, Shichao Sun. 5299-5305 [doi]
• Dual-View Variational Autoencoders for Semi-Supervised Text MatchingZhongbin Xie, Shuai Ma. 5306-5312 [doi]
• Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment AnalysisBowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang. 5313-5319 [doi]
• Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation ModelsChang Xu, Tao Qin, Gang Wang, Tie-Yan Liu. 5320-5326 [doi]
• Neural Collective Entity Linking Based on Recurrent Random Walk Network LearningMengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang. 5327-5333 [doi]
• Robust Audio Adversarial Example for a Physical AttackHiromu Yakura, Jun Sakuma. 5334-5341 [doi]
• HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image CaptioningShiyang Yan, Jun Xu, Yuai Liu, Lin Xu. 5342-5348 [doi]
• Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive LearningMin Yang 0007, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen. 5349-5355 [doi]
• Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual StorytellingPengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun 0001. 5356-5362 [doi]
• Triplet Enhanced AutoEncoder: Model-free Discriminative Network EmbeddingYao Yang, Haoran Chen, Junming Shao. 5363-5369 [doi]
• Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin SoftmaxYinfei Yang, Gustavo Hernández Ábrego, Steve Yuan, Mandy Guo, Qinlan Shen, Daniel Cer, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil. 5370-5378 [doi]
• Utilizing Non-Parallel Text for Style Transfer by Making Partial ComparisonsDi Yin, Shujian Huang, Xin-Yu Dai, Jiajun Chen. 5379-5386 [doi]
• Graph-based Neural Sentence OrderingYongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou, Jiebo Luo. 5387-5393 [doi]
• Refining Word Representations by Manifold LearningYonghe Chu, Hongfei Lin, Liang Yang 0003, Yufeng Diao, ShaoWu Zhang, Xiaochao Fan. 5394-5400 [doi]
• Beyond Word Attention: Using Segment Attention in Neural Relation ExtractionBowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li. 5401-5407 [doi]
• Adapting BERT for Target-Oriented Multimodal Sentiment ClassificationJianfei Yu, Jing Jiang 0001. 5408-5414 [doi]
• Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker ConversationsDong Zhang, Liangqing Wu, Changlong Sun, Shoushan Li, Qiaoming Zhu, Guodong Zhou. 5415-5421 [doi]
• Extracting Entities and Events as a Single Task Using a Transition-Based Neural ModelJunchi Zhang, Yanxia Qin, Yue Zhang, Mengchi Liu, Donghong Ji. 5422-5428 [doi]
• Multi-view Knowledge Graph Embedding for Entity AlignmentQingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu. 5429-5435 [doi]
• Quantum-Inspired Interactive Networks for Conversational Sentiment AnalysisYazhou Zhang, Qiuchi Li, Dawei Song 0001, Peng Zhang, Panpan Wang. 5436-5442 [doi]
• A Document-grounded Matching Network for Response Selection in Retrieval-based ChatbotsXueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao 0001, Rui Yan. 5443-5449 [doi]
• Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense ConnectionsYi Zhao, Yanyan Shen, Junjie Yao. 5450-5456 [doi]
• RLTM: An Efficient Neural IR Framework for Long DocumentsChen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu. 5457-5463 [doi]
• Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text ClassificationWanshan Zheng, Zibin Zheng, Hai Wan, Chuan Chen. 5464-5470 [doi]
• Sequence Generation: From Both Sides to the MiddleLong Zhou, Jiajun Zhang, Chengqing Zong, Heng Yu. 5471-5477 [doi]
• Getting in Shape: Word Embedding SubSpacesTianyuan Zhou, João Sedoc, Jordan Rodu. 5478-5484 [doi]
• A Span-based Joint Model for Opinion Target Extraction and Target Sentiment ClassificationYan Zhou, Longtao Huang, Tao Guo, Jizhong Han, Songlin Hu. 5485-5491 [doi]
• Earliest-Completion Scheduling of Contract Algorithms with End GuaranteesSpyros Angelopoulos 0001, Shendan Jin. 5493-5499 [doi]
• Finding Optimal Solutions in HTN Planning - A SAT-based ApproachGregor Behnke, Daniel Höller, Susanne Biundo. 5500-5508 [doi]
• Faster Dynamic Controllability Checking in Temporal Networks with Integer BoundsNikhil Bhargava, Brian C. Williams. 5509-5515 [doi]
• Regular Decision Processes: A Model for Non-Markovian DomainsRonen I. Brafman, Giuseppe De Giacomo. 5516-5522 [doi]
• Strong Fully Observable Non-Deterministic Planning with LTL and LTLf GoalsAlberto Camacho, Sheila A. McIlraith. 5523-5531 [doi]
• Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural NetworksSteven Carr, Nils Jansen 0001, Ralf Wimmer, Alexandru Constantin Serban, Bernd Becker 0001, Ufuk Topcu. 5532-5539 [doi]
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• Generalized Potential Heuristics for Classical PlanningGuillem Francès, Augusto B. Corrêa, Cedric Geissmann, Florian Pommerening. 5554-5561 [doi]
• Subgoal-Based Temporal Abstraction in Monte-Carlo Tree SearchThomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien. 5562-5568 [doi]
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• Approximability of Constant-horizon Constrained POMDPMajid Khonji, Ashkan Jasour, Brian Williams. 5583-5590 [doi]
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• Partitioning Techniques in LTLf SynthesisLucas Martinelli Tabajara, Moshe Y. Vardi. 5599-5606 [doi]
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• Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANsMadhu Babu Vankadari, Swagat Kumar, Anima Majumder, Kaushik Das. 5677-5684 [doi]
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• Decision Making for Improving Maritime Traffic Safety Using Constraint ProgrammingSaumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau. 5794-5800 [doi]
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• AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart CushionKatia Bourahmoune, Toshiyuki Amagasa. 5808-5814 [doi]
• Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under UncertaintyJonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau. 5815-5821 [doi]
• Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention RepresentationDawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang 0001. 5822-5828 [doi]
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• Enhancing Stock Movement Prediction with Adversarial TrainingFuli Feng, Huimin Chen, Xiangnan He 0001, Ji Ding, Maosong Sun, Tat-Seng Chua. 5843-5849 [doi]
• Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control TuningMarcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause 0001. 5850-5856 [doi]
• DDL: Deep Dictionary Learning for Predictive PhenotypingTianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun. 5857-5863 [doi]
• Improving Customer Satisfaction in Bike Sharing Systems through Dynamic RepositioningSupriyo Ghosh, Jing Yu Koh, Patrick Jaillet. 5864-5870 [doi]
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• Systematic Conservation Planning for Sustainable Land-use Policies: A Constrained Partitioning Approach to Reserve Selection and Design.Dimitri Justeau-Allaire, Philippe Vismara, Philippe Birnbaum, Xavier Lorca. 5902-5908 [doi]
• Truly Batch Apprenticeship Learning with Deep Successor FeaturesDonghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez. 5909-5915 [doi]
• Scribble-to-Painting Transformation with Multi-Task Generative Adversarial NetworksJinning Li, Yexiang Xue. 5916-5922 [doi]
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• KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural NetworkDonghyeon Park, Keonwoo Kim, Yonggyu Park, Jungwoon Shin, Jaewoo Kang. 5930-5936 [doi]
• MNN: Multimodal Attentional Neural Networks for Diagnosis PredictionZhi Qiao, Xian Wu, Shen Ge, Wei Fan 0001. 5937-5943 [doi]
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• Bidirectional Active Learning with Gold-Instance-Based Human TrainingFeilong Tang. 5989-5996 [doi]
• Group-Fairness in Influence MaximizationAlan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick. 5997-6005 [doi]
• Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous DrivingAkifumi Wachi. 6006-6012 [doi]
• Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic DefensesXiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Peter Chin. 6013-6019 [doi]
• Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National CybersecurityXinrun Wang, Bo An, Hau Chan. 6020-6027 [doi]
• Automatic Grassland Degradation Estimation Using Deep LearningXiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng. 6028-6034 [doi]
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• A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal DataMingyang Zhang, Tong Li, Hongzhi Shi, Yong Li 0008, Pan Hui. 6043-6049 [doi]
• Learning Interpretable Relational Structures of Hinge-loss Markov Random FieldsYue Zhang, Arti Ramesh. 6050-6056 [doi]
• K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation DetectionYuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie. 6057-6063 [doi]
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• Playgol: Learning Programs Through PlayAndrew Cropper. 6074-6080 [doi]
• Learning Relational Representations with Auto-encoding Logic ProgramsSebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel. 6081-6087 [doi]
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• Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge TransferJames R. Kirk, John E. Laird. 6095-6102 [doi]
• EL Embeddings: Geometric Construction of Models for the Description Logic EL++Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf. 6103-6109 [doi]
• How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale DatasetYusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, Yi Zhou. 6110-6116 [doi]
• Synthesizing Datalog Programs using Numerical RelaxationXujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik. 6117-6124 [doi]
• A Refined Understanding of Cost-optimal Planning with Polytree Causal GraphsChrister Bäckström, Peter Jonsson, Sebastian Ordyniak. 6126-6130 [doi]
• Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom OntologiesStefan Borgwardt, Walter Forkel. 6131-6135 [doi]
• Quality Control Attack Schemes in CrowdsourcingAlessandro Checco, Jo Bates, Gianluca Demartini. 6136-6140 [doi]
• Do We Need Many-valued Logics for Incomplete Information?Marco Console, Paolo Guagliardo, Leonid Libkin. 6141-6145 [doi]
• Addressing Age-Related Bias in Sentiment AnalysisMark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle. 6146-6150 [doi]
• Sharpness of the Satisfiability Threshold for Non-Uniform Random k-SATTobias Friedrich 0001, Ralf Rothenberger. 6151-6155 [doi]
• A Dual Approach to Verify and Train Deep NetworksSven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli. 6156-6160 [doi]
• The Provable Virtue of Laziness in Motion PlanningNika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa. 6161-6165 [doi]
• Clause Learning and New Bounds for Graph ColoringEmmanuel Hebrard, George Katsirelos. 6166-6170 [doi]
• On Guiding Search in HTN Planning with Classical Planning HeuristicsDaniel Höller, Pascal Bercher, Gregor Behnke, Susanne Biundo. 6171-6175 [doi]
• The Power of Context in Networks: Ideal Point Models with Social InteractionsMohammad Tanvir Irfan, Tucker Gordon. 6176-6180 [doi]
• On Causal Identification under Markov EquivalenceAmin Jaber, Jiji Zhang, Elias Bareinboim. 6181-6185 [doi]
• Meta-Interpretive Learning Using HEX-ProgramsTobias Kaminski, Thomas Eiter, Katsumi Inoue. 6186-6190 [doi]
• A Walkthrough for the Principle of Logit SeparationGil Keren, Sivan Sabato, Björn W. Schuller. 6191-6195 [doi]
• Delayed Impact of Fair Machine LearningLydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt. 6196-6200 [doi]
• Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender SystemsBenedikt Loepp, Tim Donkers, Timm Kleemann, Jürgen Ziegler 0001. 6201-6205 [doi]
• Discovering Reliable Dependencies from Data: Hardness and Improved AlgorithmsPanagiotis Mandros, Mario Boley, Jilles Vreeken. 6206-6210 [doi]
• Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting (Extended Abstract)Kuldeep S. Meel, Aditya A. Shrotri, Moshe Y. Vardi. 6211-6215 [doi]
• Constraint Games for Stable and Optimal Allocation of Demands in SDNAnthony Palmieri, Arnaud Lallouet, Luc Pons. 6216-6220 [doi]
• Optimally Efficient Bidirectional SearchEshed Shaham, Ariel Felner, Nathan R. Sturtevant, Jeffrey S. Rosenschein. 6221-6225 [doi]
• Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational ModelsHarold Soh, Pan Shu, Min Chen 0018, David Hsu. 6226-6230 [doi]
• Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended AbtractMarc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum. 6231-6235 [doi]
• Causal Embeddings for Recommendation: An Extended AbstractFlavian Vasile, Stephen Bonner. 6236-6240 [doi]
• Taskonomy: Disentangling Task Transfer LearningAmir Roshan Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese. 6241-6245 [doi]
• Adversarial Attacks on Neural Networks for Graph DataDaniel Zügner, Amir Akbarnejad, Stephan Günnemann. 6246-6250 [doi]
• Integrating Knowledge and Reasoning in Image UnderstandingSomak Aditya, Yezhou Yang, Chitta Baral. 6252-6259 [doi]
• A Replication Study of Semantics in ArgumentationLeila Amgoud. 6260-6266 [doi]
• A Survey on Hierarchical Planning - One Abstract Idea, Many Concrete RealizationsPascal Bercher, Ron Alford, Daniel Höller. 6267-6275 [doi]
• Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human ReasoningRuth M. J. Byrne. 6276-6282 [doi]
• Deep Learning for Video Captioning: A ReviewShaoxiang Chen, Ting Yao, Yu-Gang Jiang. 6283-6290 [doi]
• Learning and Inference for Structured Prediction: A Unifying PerspectiveAryan Deshwal, Janardhan Rao Doppa, Dan Roth. 6291-6299 [doi]
• Automated Essay Scoring: A Survey of the State of the ArtZixuan Ke, Vincent Ng. 6300-6308 [doi]
• A Survey of Reinforcement Learning Informed by Natural LanguageJelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel. 6309-6317 [doi]
• Social Media-based User Embedding: A Literature ReviewShimei Pan, Tao Ding. 6318-6324 [doi]
• Recent Advances in Imitation Learning from ObservationFaraz Torabi, Garrett Warnell, Peter Stone. 6325-6331 [doi]
• Sequential Recommender Systems: Challenges, Progress and ProspectsShoujin Wang, Liang Hu 0004, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun. 6332-6338 [doi]
• Leveraging Human Guidance for Deep Reinforcement Learning TasksRuohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone. 6339-6346 [doi]
• Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract)Pierre Baldi, Peter J. Sadowski, Zhiqin Lu. 6348-6352 [doi]
• Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty (Extended Abstract)Nikhil Bhargava, Brian C. Williams. 6353-6357 [doi]
• A Core Method for the Weak Completion Semantics with Skeptical Abduction (Extended Abstract)Emmanuelle-Anna Dietz Saldanha, Steffen Hölldobler, Carroline Dewi Puspa Kencana Ramli, Luis Palacios Medinacelli. 6358-6361 [doi]
• Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract)Bettina Fazzinga, Sergio Flesca, Filippo Furfaro. 6362-6366 [doi]
• Shielded Base Contraction (Extended Abstract)Marco Garapa, Eduardo Fermé, Maurício D. Luís Reis. 6367-6371 [doi]
• Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract)Bernhard Nebel, Thomas Bolander, Thorsten Engesser, Robert Mattmüller. 6372-6376 [doi]
• Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy OrchestrationRitesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi. 6377-6381 [doi]
• On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract)Claudia Schulz 0001, Francesca Toni. 6382-6386 [doi]
• The Quest For "Always-On" Autonomous Mobile RobotsJoydeep Biswas. 6388-6392 [doi]
• Integrating Learning with Game Theory for Societal ChallengesFei Fang. 6393-6397 [doi]
• Multiagent Decision Making and Learning in Urban EnvironmentsAkshat Kumar. 6398-6402 [doi]
• From Data to Knowledge Engineering for CybersecurityGerardo I. Simari. 6403-6407 [doi]
• AI Planning for Enterprise: Putting Theory Into PracticeShirin Sohrabi. 6408-6410 [doi]
• Domain-Dependent and Domain-Independent Problem Solving TechniquesRoni Stern. 6411-6415 [doi]
• What Does the Evidence Say? Models to Help Make Sense of the Biomedical LiteratureByron C. Wallace. 6416-6420 [doi]
• Conditional Preference Network with Constraints and UncertaintySultan Ahmed. 6422-6423 [doi]
• Constraint Solving and Optimization Using Evolutionary TechniquesMahdi Bidar, Malek Mouhoub. 6424-6425 [doi]
• Visionary Security: Using Uncertain Real-Time Information in Signaling GamesElizabeth Bondi. 6426-6427 [doi]
• AI in Recruiting. Multi-agent Systems Architecture for Ethical and Legal AuditingMaría del Carmen Fernández Martínez, Alberto Fernández. 6428-6429 [doi]
• A Similarity Measurement Method Based on Graph Kernel for Disconnected GraphsJun Gao, Jianliang Gao. 6430-6431 [doi]
• Finding Justifications by Approximating Core for Large-scale OntologiesMengyu Gao, Yuxin Ye, Dantong Ouyang, Bin Wang. 6432-6433 [doi]
• Teaching Robots to Interact with Humans in a Smart EnvironmentShivam Goel. 6434-6435 [doi]
• Vision beyond Pixels: Visual Reasoning via Blocksworld AbstractionsTejas Gokhale. 6436-6437 [doi]
• A Unified Mathematical Approach for Foraging and Construction Systems in a 1, 000, 000 Robot SwarmJohn Harwell. 6438-6439 [doi]
• Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?Céline Hocquette. 6440-6441 [doi]
• Unsupervised Multi-view LearningLing Huang. 6442-6443 [doi]
• Intelligent Agent for Assessing and Guiding Rehabilitation ExercisesMin Hun Lee. 6444-6445 [doi]
• Optimizing Interactive Systems with Data-Driven ObjectivesZiming Li. 6446-6447 [doi]
• Split Q Learning: Reinforcement Learning with Two-Stream RewardsBaihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi. 6448-6449 [doi]
• Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural NetworkBonaventure C. Molokwu. 6450-6451 [doi]
• Towards Architecture-Agnostic Neural Transfer: a Knowledge-Enhanced ApproachSeán Quinn, Alessandra Mileo. 6452-6453 [doi]
• Technical, Hard and Explainable Question Answering (THE-QA)Shailaja Sampat. 6454-6455 [doi]
• Preference Elicitation and Explanation in Iterative PlanningLindsay Sanneman. 6456-6457 [doi]
• Intelligent Querying in Camera Networks for Efficient Target TrackingAnil Sharma. 6458-6459 [doi]
• Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored EnvironmentsThiago D. Simão. 6460-6461 [doi]
• Deep Learning with Relational Logic RepresentationsGustav Sourek. 6462-6463 [doi]
• Matching with ConstraintsZhaohong Sun. 6464-6465 [doi]
• Cautious Rule-Based Collective InferenceMartin Svatos. 6466-6467 [doi]
• The Design of Human Oversight in Autonomous Weapon SystemsIlse Verdiesen. 6468-6469 [doi]
• A Compliance Checking Framework for DNN ModelsSunny Verma, Chen Wang 0008, Liming Zhu, Wei Liu. 6470-6471 [doi]
• Adversarial Machine Learning with Double OracleKai Wang. 6472-6473 [doi]
• AI at the Margins: Data, Decisions, and Inclusive Social ImpactBryan Wilder. 6474-6475 [doi]
• Self-Organizing Incremental Neural Networks for Continual LearningChayut Wiwatcharakoses, Daniel Berrar. 6476-6477 [doi]
• Evolutionary Learning of Existential RulesLianlong Wu. 6478-6479 [doi]
• Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional NetworksFan Xiong, Jianliang Gao. 6480-6481 [doi]
• Personal Context Recognition via Skeptical LearningWanyi Zhang. 6482-6483 [doi]
• OpenMarkov, an Open-Source Tool for Probabilistic Graphical ModelsManuel Arias, Jorge Pérez-Martín, Manuel Luque, Francisco Javier Díez. 6485-6487 [doi]
• Explainable Deep Neural Networks for Multivariate Time Series PredictionsRoy Assaf, Anika Schumann. 6488-6490 [doi]
• Multi-Agent Path Finding on OzobotsRoman Barták, Ivan Krasicenko, Jirí Svancara. 6491-6493 [doi]
• Hintikka's World: Scalable Higher-order KnowledgeTristan Charrier, Sébastien Gamblin, Alexandre Niveau, François Schwarzentruber. 6494-6496 [doi]
• AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service BotCen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li. 6497-6499 [doi]
• Crowd View: Converting Investors' Opinions into IndicatorsChung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen. 6500-6502 [doi]
• VEST: A System for Vulnerability Exploit Scoring & TimingHaipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian. 6503-6505 [doi]
• Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music GenerationYu-Hua Chen, Bryan Wang, Yi-Hsuan Yang. 6506-6508 [doi]
• InterSpot: Interactive Spammer Detection in Social MediaKaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu. 6509-6511 [doi]
• Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive DialogueRahul R. Divekar, Xiangyang Mou, Lisha Chen, Maíra Gatti de Bayser, Melina Alberio Guerra, Hui Su. 6512-6514 [doi]
• A Mobile Application for Sound Event DetectionYingwei Fu, Kele Xu, Haibo Mi, Huaimin Wang, Dezhi Wang, Boqing Zhu. 6515-6517 [doi]
• The Open Vault Challenge - Learning How to Build Calibration-Free Interactive Systems by Cracking the Code of a VaultJonathan Grizou. 6518-6520 [doi]
• Agent-based Decision Support for Pain Management in Primary Care SettingsXu Guo, Han Yu 0001, Chunyan Miao, Yiqiang Chen. 6521-6523 [doi]
• DISPUTool - A tool for the Argumentative Analysis of Political DebatesShohreh Haddadan, Elena Cabrio, Serena Villata. 6524-6526 [doi]
• Contextual Typeahead Sticker Suggestions on Hike MessengerMohamed Hanoosh, Abhishek Laddha, Debdoot Mukherjee. 6527-6529 [doi]
• The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model IntegrationSamuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt. 6530-6532 [doi]
• ERICA and WikiTalkDivesh Lala, Graham Wilcock, Kristiina Jokinen, Tatsuya Kawahara. 6533-6535 [doi]
• Design and Implementation of a Disambiguity Framework for Smart Voice Controlled DevicesKehua Lei, Tianyi Ma, Jia Jia, Cunjun Zhang, Zhihan Yang. 6536-6538 [doi]
• Neural Discourse SegmentationJing Li. 6539-6541 [doi]
• CoTrRank: Trust Evaluation of Users and TweetsPeiyao Li, Weiliang Zhao, Jian Yang, Jia Wu 0001. 6542-6544 [doi]
• Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial ImaginationRuixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He. 6545-6547 [doi]
• CRSRL: Customer Routing System Using Reinforcement LearningChong Long, Zining Liu, Xiaolu Lu 0002, Zehong Hu, Yafang Wang. 6548-6550 [doi]
• ACTA A Tool for Argumentative Clinical Trial AnalysisTobias Mayer 0002, Elena Cabrio, Serena Villata. 6551-6553 [doi]
• A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision ModelHaibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun. 6554-6556 [doi]
• SAGE: A Hybrid Geopolitical Event Forecasting SystemFred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrés Abeliuk, Mehrnoosh Mirtaheri, KSM Tozammel Hossain, Pedro Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas. 6557-6559 [doi]
• Reagent: Converting Ordinary Webpages into Interactive Software AgentsMatthew Peveler, Jeffrey O. Kephart, Hui Su. 6560-6562 [doi]
• AiD-EM: Adaptive Decision Support for Electricity Markets NegotiationsTiago Pinto, Zita A. Vale. 6563-6565 [doi]
• Deep Reinforcement Learning for Ride-sharing Dispatching and RepositioningZhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li. 6566-6568 [doi]
• GraspSnooker: Automatic Chinese Commentary Generation for Snooker VideosZhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang. 6569-6571 [doi]
• Multi-Agent Visualization for Explaining Federated LearningXiguang Wei, Quan Li, Yang Liu, Han Yu 0001, Tianjian Chen, Qiang Yang. 6572-6574 [doi]
• Fair and Explainable Dynamic Engagement of Crowd WorkersHan Yu 0001, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng. 6575-6577 [doi]
• An Online Intelligent Visual Interaction SystemAnxiang Zeng, Han Yu 0001, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao. 6578-6580 [doi]
• DeepRec: An Open-source Toolkit for Deep Learning based RecommendationShuai Zhang 0007, Yi Tay, Lina Yao, Bin Wu, Aixin Sun. 6581-6583 [doi]
• ATTENet: Detecting and Explaining Suspicious Tax Evasion GroupsQinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong. 6584-6586 [doi]
• Intelligent Decision Support for Improving Power ManagementYongqing Zheng, Han Yu 0001, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao. 6587-6589 [doi]