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ORCID28th IJCAI 2019: Macao, China
- Sarit Kraus:
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. ijcai.org 2019, ISBN 978-0-9992411-4-1
Agent-based and Multi-agent Systems
- Ben Abramowitz, Nicholas Mattei
:
Flexible Representative Democracy: An Introduction with Binary Issues. 3-10 - Stéphane Airiau, Haris Aziz, Ioannis Caragiannis, Justin Kruger, Jérôme Lang, Dominik Peters:
Portioning Using Ordinal Preferences: Fairness and Efficiency. 11-17 - Gianvincenzo Alfano, Sergio Greco, Francesco Parisi:
An Efficient Algorithm for Skeptical Preferred Acceptance in Dynamic Argumentation Frameworks. 18-24 - Shani Alkoby, David Sarne, Igal Milchtaich:
Strategic Signaling for Selling Information Goods. 25-31 - Benjamin Aminof, Marta Kwiatkowska, Bastien Maubert, Aniello Murano, Sasha Rubin:
Probabilistic Strategy Logic. 32-38 - Anton Andreychuk, Konstantin S. Yakovlev, Dor Atzmon, Roni Stern:
Multi-Agent Pathfinding with Continuous Time. 39-45 - Haris Aziz, Hau Chan, Bo Li:
Weighted Maxmin Fair Share Allocation of Indivisible Chores. 46-52 - Haris Aziz, Ioannis Caragiannis, Ayumi Igarashi, Toby Walsh:
Fair Allocation of Indivisible Goods and Chores. 53-59 - Haris Aziz, Bo Li, Xiaowei Wu:
Strategyproof and Approximately Maxmin Fair Share Allocation of Chores. 60-66 - Nathanaël Barrot, Makoto Yokoo:
Stable and Envy-free Partitions in Hedonic Games. 67-73 - Dorothea Baumeister, Tobias Hogrebe:
How Hard Is the Manipulative Design of Scoring Systems?. 74-80 - Xiaohui Bei, Xinhang Lu, Pasin Manurangsi, Warut Suksompong:
The Price of Fairness for Indivisible Goods. 81-87 - Francesco Belardinelli, Wojciech Jamroga, Damian Kurpiewski, Vadim Malvone, Aniello Murano:
Strategy Logic with Simple Goals: Tractable Reasoning about Strategies. 88-94 - Nawal Benabbou, Mithun Chakraborty, Edith Elkind, Yair Zick:
Fairness Towards Groups of Agents in the Allocation of Indivisible Items. 95-101 - Vittorio Bilò, Angelo Fanelli, Michele Flammini, Gianpiero Monaco, Luca Moscardelli:
Optimality and Nash Stability in Additive Separable Generalized Group Activity Selection Problems. 102-108 - Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Rolf Niedermeier:
An Experimental View on Committees Providing Justified Representation. 109-115 - Ioannis Caragiannis, Evi Micha:
A Contribution to the Critique of Liquid Democracy. 116-122 - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders. 123-129 - Katarína Cechlárová, Laurent Gourvès, Julien Lesca:
On the Problem of Assigning PhD Grants. 130-136 - Hau Chan, Jing Chen, Bo Li, Xiaowei Wu:
Maximin-Aware Allocations of Indivisible Goods. 137-143 - Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber:
Reachability and Coverage Planning for Connected Agents. 144-150 - Jing Chen, Bo Li, Yingkai Li:
Approximately Maximizing the Broker's Profit in a Two-sided Market. 151-157 - Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi:
Election with Bribe-Effect Uncertainty: A Dichotomy Result. 158-164 - Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo:
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices. 165-171 - Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang:
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. 172-179 - Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern:
Network Formation under Random Attack and Probabilistic Spread. 180-186 - Frank Cheng, Yagil Engel, Michael P. Wellman:
Cap-and-Trade Emissions Regulation: A Strategic Analysis. 187-193 - Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam:
A Value-based Trust Assessment Model for Multi-agent Systems. 194-200 - Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani:
Exploiting Social Influence to Control Elections Based on Scoring Rules. 201-207 - Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar:
Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs. 208-214 - Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings:
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior. 215-222 - Yanchen Deng, Ziyu Chen, Dingding Chen, Wenxin Zhang, Xingqiong Jiang:
AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems. 223-230 - Yuan Deng, Sébastien Lahaie, Vahab S. Mirrokni:
Preferred Deals in General Environments. 231-237 - Palash Dey, Neeldhara Misra, Swaprava Nath, Garima Shakya:
A Parameterized Perspective on Protecting Elections. 238-244 - Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty:
Spotting Collective Behaviour of Online Frauds in Customer Reviews. 245-251 - Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman:
Equilibrium Characterization for Data Acquisition Games. 252-258 - Edith Elkind, Jiarui Gan, Svetlana Obraztsova, Zinovi Rabinovich, Alexandros A. Voudouris:
Protecting Elections by Recounting Ballots. 259-265 - Edith Elkind, Jiarui Gan, Ayumi Igarashi, Warut Suksompong, Alexandros A. Voudouris:
Schelling Games on Graphs. 266-272 - Dimitris Fotakis, Loukas Kavouras, Panagiotis Kostopanagiotis, Philip Lazos, Stratis Skoulakis, Nikos Zarifis:
Reallocating Multiple Facilities on the Line. 273-279 - Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia:
Equitable Allocations of Indivisible Goods. 280-286 - Yansong Gao, Jie Zhang:
Average-case Analysis of the Assignment Problem with Independent Preferences. 287-293 - Jugal Garg, Peter McGlaughlin:
Improving Nash Social Welfare Approximations. 294-300 - MohammadAmin Ghiasi, MohammadTaghi Hajiaghayi, Sébastien Lahaie, Hadi Yami:
On the Efficiency and Equilibria of Rich Ads. 301-307 - Taha D. Günes, Long Tran-Thanh, Timothy J. Norman:
Identifying vulnerabilities in trust and reputation systems. 308-314 - Mingyu Guo:
An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project Problem. 315-321 - Sushmita Gupta, Saket Saurabh, Ramanujan Sridharan, Meirav Zehavi:
On Succinct Encodings for the Tournament Fixing Problem. 322-328 - Julian Gutierrez, Muhammad Najib, Giuseppe Perelli, Michael J. Wooldridge:
On Computational Tractability for Rational Verification. 329-335 - John Harwell, Maria L. Gini:
Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10, 000 Robot Swarm. 336-342 - Jiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng:
Achieving a Fairer Future by Changing the Past. 343-349 - Karel Horák, Branislav Bosanský, Christopher Kiekintveld, Charles A. Kamhoua:
Compact Representation of Value Function in Partially Observable Stochastic Games. 350-356 - Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao:
Explicitly Coordinated Policy Iteration. 357-363 - Ayumi Igarashi, Kazunori Ota, Yuko Sakurai, Makoto Yokoo:
Robustness against Agent Failure in Hedonic Games. 364-370 - Anup K. Kalia, Nirav Ajmeri, Kevin S. Chan, Jin-Hee Cho, Sibel Adali, Munindar P. Singh:
The Interplay of Emotions and Norms in Multiagent Systems. 371-377 - Hossein Khani, Stefano Moretti, Meltem Öztürk:
An Ordinal Banzhaf Index for Social Ranking. 378-384 - Maciej Kocot, Anna Kolonko, Edith Elkind, Piotr Faliszewski, Nimrod Talmon:
Multigoal Committee Selection. 385-391 - Yoav Kolumbus, Gali Noti:
Neural Networks for Predicting Human Interactions in Repeated Games. 392-399 - Maria Kyropoulou, Warut Suksompong, Alexandros A. Voudouris:
Almost Envy-Freeness in Group Resource Allocation. 400-406 - Martin Lackner, Piotr Skowron:
A Quantitative Analysis of Multi-Winner Rules. 407-413 - Foram Lakhani, Dominik Peters, Edith Elkind:
Correlating Preferences and Attributes: Nearly Single-Crossing Profiles. 414-420 - Haralambie Leahu, Michael Kaisers, Tim Baarslag:
Automated Negotiation with Gaussian Process-based Utility Models. 421-427 - Priel Levy, David Sarne, Yonatan Aumann:
Temporal Information Design in Contests. 428-434 - Bin Li, Dong Hao, Dengji Zhao, Makoto Yokoo:
Diffusion and Auction on Graphs. 435-441 - Jiaoyang Li, Ariel Felner, Eli Boyarski, Hang Ma, Sven Koenig:
Improved Heuristics for Multi-Agent Path Finding with Conflict-Based Search. 442-449 - Minglong Li, Wenjing Yang, Zhongxuan Cai, Shaowu Yang, Ji Wang:
Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty. 450-456 - Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan:
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. 457-463 - Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls:
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. 464-470 - Phani Raj Lolakapuri, Umang Bhaskar, Ramasuri Narayanam, Gyana R. Parija, Pankaj S. Dayama:
Computational Aspects of Equilibria in Discrete Preference Games. 471-477 - Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora:
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. 478-484 - Alberto Marchesi, Matteo Castiglioni, Nicola Gatti:
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions. 485-491 - Sagar Massand, Sunil Simon:
Graphical One-Sided Markets. 492-498 - Bastien Maubert, Sophie Pinchinat, François Schwarzentruber:
Reachability Games in Dynamic Epistemic Logic. 499-505 - Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Sujit Gujar:
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings. 506-512 - Aadesh Neupane, Michael A. Goodrich:
Learning Swarm Behaviors using Grammatical Evolution and Behavior Trees. 513-520 - Hoang Nga Nguyen, Abdur Rakib:
A Probabilistic Logic for Resource-Bounded Multi-Agent Systems. 521-527 - Thanh Nguyen, Haifeng Xu:
Imitative Attacker Deception in Stackelberg Security Games. 528-534 - Keisuke Okumura, Manao Machida, Xavier Défago, Yasumasa Tamura:
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding. 535-542 - Grzegorz Pierczynski, Piotr Skowron:
Approval-Based Elections and Distortion of Voting Rules. 543-549 - Manish Ravula, Shani Alkoby, Peter Stone:
Ad Hoc Teamwork With Behavior Switching Agents. 550-556 - Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, David C. Parkes:
Ridesharing with Driver Location Preferences. 557-564 - Charlotte Roman, Paolo Turrini:
Multi-Population Congestion Games With Incomplete Information. 565-571 - Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Sybil-Resilient Reality-Aware Social Choice. 572-579 - Jakub Sliwinski, Edith Elkind:
Preferences Single-Peaked on a Tree: Sampling and Tree Recognition. 580-586 - Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati:
Model-Free Model Reconciliation. 587-594 - Zoi Terzopoulou, Ulle Endriss:
Aggregating Incomplete Pairwise Preferences by Weight. 595-601 - Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang:
A Regularized Opponent Model with Maximum Entropy Objective. 602-608 - Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha:
Exploring the Task Cooperation in Multi-goal Visual Navigation. 609-615 - Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah:
On Strategyproof Conference Peer Review. 616-622 - Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng:
Towards Efficient Detection and Optimal Response against Sophisticated Opponents. 623-629 - Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu:
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. 630-636 - Yongjie Yang:
Complexity of Manipulating and Controlling Approval-Based Multiwinner Voting. 637-643 - Yongjie Yang:
On the Tree Representations of Dichotomous Preferences. 644-650 - Chao Yu, Guozhen Tan:
The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control. 651-657 - Chi Zhang, Qianxiao Li, Peilin Zhao:
Decentralized Optimization with Edge Sampling. 658-664 - Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang:
Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy. 665-671
Computer Vision
- Sayan Banerjee, Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan:
CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network. 673-679 - Bing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li:
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition. 680-686 - Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji:
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework. 687-693 - Xiaotian Chen, Xuejin Chen, Zheng-Jun Zha:
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation. 694-700 - Qiongjie Cui, Huaijiang Sun, Yupeng Li, Yue Kong:
A Deep Bi-directional Attention Network for Human Motion Recovery. 701-707 - Minjing Dong, Chang Xu:
On Retrospecting Human Dynamics with Attention. 708-714 - Shancheng Fang, Hongtao Xie, Jianjun Chen, Jianlong Tan, Yongdong Zhang:
Learning to Draw Text in Natural Images with Conditional Adversarial Networks. 715-722 - Lianli Gao, Xiaosu Zhu, Jingkuan Song, Zhou Zhao, Heng Tao Shen:
Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval. 723-729 - Amir Gholaminejad, Kurt Keutzer, George Biros:
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs. 730-736 - Bin Gu, Wenhan Xian, Heng Huang:
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. 737-743 - Dan Guo, Shuo Wang, Qi Tian, Meng Wang:
Dense Temporal Convolution Network for Sign Language Translation. 744-750 - Dan Guo, Shengeng Tang, Meng Wang:
Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling. 751-757 - Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen:
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. 758-765 - Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. 766-773 - Jianwei Hu, Bin Wang, Lihui Qian, Yiling Pan, Xiaohu Guo, Lingjie Liu, Wenping Wang:
MAT-Net: Medial Axis Transform Network for 3D Object Recognition. 774-781 - Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng:
Dynamic Feature Fusion for Semantic Edge Detection. 782-788 - Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen:
Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching. 789-795 - Syed Ashar Javed, Shreyas Saxena, Vineet Gandhi:
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision. 796-802 - I-Hong Jhuo:
Supervised Set-to-Set Hashing in Visual Recognition. 803-810 - Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao:
Generative Image Inpainting with Submanifold Alignment. 811-817 - Bo Li, Zhengxing Sun, Lv Tang, Yunhan Sun, Jinlong Shi:
Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network. 818-825 - Jiawei Li, Mang Ye, Andy Jinhua Ma, Pong C. Yuen:
Variation Generalized Feature Learning via Intra-view Variation Adaptation. 826-832 - Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang:
Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation. 833-839 - Zhaoqun Li, Cheng Xu, Biao Leng:
Rethinking Loss Design for Large-scale 3D Shape Retrieval. 840-846 - Luojun Lin, Lingyu Liang, Lianwen Jin, Weijie Chen:
Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction. 847-853 - Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo:
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. 854-860 - Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai:
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion. 861-868 - Fei Liu, Jing Liu, Zhiwei Fang, Richang Hong, Hanqing Lu:
Densely Connected Attention Flow for Visual Question Answering. 869-875 - Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu:
Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity. 876-882 - Shunan Mao, Shiliang Zhang, Ming Yang:
Resolution-invariant Person Re-Identification. 883-889 - Tianxiang Pan, Bin Wang, Guiguang Ding, Jungong Han, Jun-Hai Yong:
Low Shot Box Correction for Weakly Supervised Object Detection. 890-896 - Guoliang Pang, Xionghui Wang, Jianfang Hu, Qing Zhang, Wei-Shi Zheng:
DBDNet: Learning Bi-directional Dynamics for Early Action Prediction. 897-903 - Yongri Piao, Zhengkun Rong, Miao Zhang, Xiao Li, Huchuan Lu:
Deep Light-field-driven Saliency Detection from a Single View. 904-911 - Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen:
Deep Recurrent Quantization for Generating Sequential Binary Codes. 912-918 - Yang Song, Jingwen Zhu, Dawei Li, Andy Wang, Hairong Qi:
Talking Face Generation by Conditional Recurrent Adversarial Network. 919-925 - Yongyi Tang, Lin Ma, Lianqiang Zhou:
Hallucinating Optical Flow Features for Video Classification. 926-932 - Guan'an Wang, Yang Yang, Jian Cheng, Jinqiao Wang, Zeng-Guang Hou:
Color-Sensitive Person Re-Identification. 933-939 - Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei:
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation. 940-946 - Yuxin Wang, Hongtao Xie, Zilong Fu, Yongdong Zhang:
DSRN: A Deep Scale Relationship Network for Scene Text Detection. 947-953 - Xingxing Wei, Siyuan Liang, Ning Chen, Xiaochun Cao:
Transferable Adversarial Attacks for Image and Video Object Detection. 954-960 - Aming Wu, Yahong Han, Yi Yang:
Video Interactive Captioning with Human Prompts. 961-967 - Haoze Wu, Jiawei Liu, Zheng-Jun Zha, Zhenzhong Chen, Xiaoyan Sun:
Mutually Reinforced Spatio-Temporal Convolutional Tube for Human Action Recognition. 968-974 - Siying Wu, Zheng-Jun Zha, Zilei Wang, Houqiang Li, Feng Wu:
Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation. 975-981 - Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu:
Graph Convolutional Network Hashing for Cross-Modal Retrieval. 982-988 - Chuhui Xue, Shijian Lu, Wei Zhang:
MSR: Multi-Scale Shape Regression for Scene Text Detection. 989-995 - Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. 996-1002 - Yang Yi, Feng Ni, Yuexin Ma, Xinge Zhu, Yuankai Qi, Riming Qiu, Shijie Zhao, Feng Li, Yongtao Wang:
High Performance Gesture Recognition via Effective and Efficient Temporal Modeling. 1003-1009 - Shi Yin, Shangfei Wang, Guozhu Peng, Xiaoping Chen, Bowen Pan:
Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning. 1010-1017 - Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He:
Pose-preserving Cross Spectral Face Hallucination. 1018-1024 - Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo:
Generative Visual Dialogue System via Weighted Likelihood Estimation. 1025-1031 - Feng Zheng, Cheng Deng, Heng Huang:
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. 1032-1040 - Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Mengran Gou:
LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning. 1041-1047 - Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li:
Face Photo-Sketch Synthesis via Knowledge Transfer. 1048-1054
Constraints and SAT
- Saad Attieh, Nguyen Dang, Christopher Jefferson, Ian Miguel, Peter Nightingale:
Athanor: High-Level Local Search Over Abstract Constraint Specifications in Essence. 1056-1063 - Mohamed-Bachir Belaid, Christian Bessiere, Nadjib Lazaar:
Constraint Programming for Mining Borders of Frequent Itemsets. 1064-1070 - Allegra De Filippo, Michele Lombardi, Michela Milano:
How to Tame Your Anticipatory Algorithm. 1071-1077 - Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns:
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. 1078-1085 - Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Privacy-Preserving Obfuscation of Critical Infrastructure Networks. 1086-1092 - Pei Huang, Minghao Liu, Ping Wang, Wenhui Zhang, Feifei Ma, Jian Zhang:
Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring. 1093-1100 - Xuming Huang, Jimmy Lee:
DoubleLex Revisited and Beyond. 1101-1107 - Alexey Ignatiev, António Morgado, Georg Weissenbacher, João Marques-Silva:
Model-Based Diagnosis with Multiple Observations. 1108-1115 - Tuukka Korhonen, Jeremias Berg, Matti Järvisalo:
Enumerating Potential Maximal Cliques via SAT and ASP. 1116-1122 - Mikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takác:
Entropy-Penalized Semidefinite Programming. 1123-1129 - Mohit Kumar, Stefano Teso, Luc De Raedt:
Acquiring Integer Programs from Data. 1130-1136 - Anna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen:
Stochastic Constraint Propagation for Mining Probabilistic Networks. 1137-1145 - Shu Lin, Na Meng, Wenxin Li:
Optimizing Constraint Solving via Dynamic Programming. 1146-1154 - Adriana Pacheco, Cédric Pralet, Stéphanie Roussel:
Constraint-Based Scheduling with Complex Setup Operations: An Iterative Two-Layer Approach. 1155-1161 - Yash Pote, Saurabh Joshi, Kuldeep S. Meel:
Phase Transition Behavior of Cardinality and XOR Constraints. 1162-1168 - Shubham Sharma, Subhajit Roy, Mate Soos, Kuldeep S. Meel:
GANAK: A Scalable Probabilistic Exact Model Counter. 1169-1176 - Pavel Surynek:
Unifying Search-based and Compilation-based Approaches to Multi-agent Path Finding through Satisfiability Modulo Theories. 1177-1183 - Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary Algorithms. 1184-1190 - Chao Xu, Wenjun Li, Yongjie Yang, Jianer Chen, Jianxin Wang:
Resolution and Domination: An Improved Exact MaxSAT Algorithm. 1191-1197
Heuristic Search and Game Playing
- Massimo Bono, Alfonso Emilio Gerevini, Daniel Damir Harabor, Peter J. Stuckey:
Path Planning with CPD Heuristics. 1199-1205 - Zhaoxing Bu, Richard E. Korf:
A*+IDA*: A Simple Hybrid Search Algorithm. 1206-1212 - Ioannis Caragiannis, Evanthia Tsitsoka:
Deanonymizing Social Networks Using Structural Information. 1213-1219 - Jingwei Chen, Nathan R. Sturtevant:
Conditions for Avoiding Node Re-expansions in Bounded Suboptimal Search. 1220-1226 - Victoria G. Crawford:
An Efficient Evolutionary Algorithm for Minimum Cost Submodular Cover. 1227-1233 - Lior Fuks, Noor H. Awad, Frank Hutter, Marius Lindauer:
An Evolution Strategy with Progressive Episode Lengths for Playing Games. 1234-1240 - Daniel Damir Harabor, Tansel Uras, Peter J. Stuckey, Sven Koenig:
Regarding Jump Point Search and Subgoal Graphs. 1241-1248 - Malte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant:
Iterative Budgeted Exponential Search. 1249-1257 - Shuli Hu, Nathan R. Sturtevant:
Direction-Optimizing Breadth-First Search with External Memory Storage. 1258-1264 - Qiqi Jiang, Kuangzheng Li, Boyao Du, Hao Chen, Hai Fang:
DeltaDou: Expert-level Doudizhu AI through Self-play. 1265-1271 - Yasushi Kawase, Yuko Kuroki, Atsushi Miyauchi:
Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation. 1272-1279 - Akihiro Kishimoto, Adi Botea, Radu Marinescu:
Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces. 1280-1288 - Edward Lam, Pierre Le Bodic, Daniel Damir Harabor, Peter J. Stuckey:
Branch-and-Cut-and-Price for Multi-Agent Pathfinding. 1289-1296 - Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang:
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. 1297-1304 - Peixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang:
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game. 1305-1311 - Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen:
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. 1312-1318 - Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar, Ramtin Madani:
Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering. 1319-1326
Humans and AI
- Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett:
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. 1328-1334 - Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati:
Balancing Explicability and Explanations in Human-Aware Planning. 1335-1343 - Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu:
Multi-agent Attentional Activity Recognition. 1344-1350 - Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li:
Deep Adversarial Social Recommendation. 1351-1357 - Ishaan Grover, Hae Won Park, Cynthia Breazeal:
A Semantics-based Model for Predicting Children's Vocabulary. 1358-1365 - Pengjie Gu, Rong Xiao, Gang Pan, Huajin Tang:
STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks. 1366-1372 - Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu:
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. 1373-1379 - Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He:
Discrete Trust-aware Matrix Factorization for Fast Recommendation. 1380-1386 - Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen:
Decoding EEG by Visual-guided Deep Neural Networks. 1387-1393 - Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong:
MiSC: Mixed Strategies Crowdsourcing. 1394-1400 - Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir:
Exploring Computational User Models for Agent Policy Summarization. 1401-1407 - Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye:
Minimizing Time-to-Rank: A Learning and Recommendation Approach. 1408-1414 - Marco Maier, Daniel Elsner, Chadly Marouane, Meike Zehnle, Christoph Fuchs:
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. 1415-1421 - Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati:
Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks. 1422-1430 - Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. 1431-1437 - Yongkai Wu, Lu Zhang, Xintao Wu:
Counterfactual Fairness: Unidentification, Bound and Algorithm. 1438-1444 - Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang:
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. 1445-1451 - Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu:
Achieving Causal Fairness through Generative Adversarial Networks. 1452-1458 - Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin:
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. 1459-1465 - Yantao Yu, Zhen Wang, Bo Yuan:
An Input-aware Factorization Machine for Sparse Prediction. 1466-1472 - Hao Zhang, Liangxiao Jiang, Wenqiang Xu:
Multiple Noisy Label Distribution Propagation for Crowdsourcing. 1473-1479 - Wenbin Zhang, Eirini Ntoutsi:
FAHT: An Adaptive Fairness-aware Decision Tree Classifier. 1480-1486
Knowledge Representation and Reasoning
- Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li:
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. 1488-1494 - Mario Alviano, Javier Romero, Torsten Schaub:
On the Integration of CP-nets in ASPRIN. 1495-1501 - Leila Amgoud, Dragan Doder:
Compilation of Logical Arguments. 1502-1508 - Theofanis I. Aravanis, Pavlos Peppas, Mary-Anne Williams:
Observations on Darwiche and Pearl's Approach for Iterated Belief Revision. 1509-1515 - Alessandro Artale, Andrea Mazzullo, Ana Ozaki:
Do You Need Infinite Time?. 1516-1522 - Philippe Balbiani, David Fernández-Duque, Andreas Herzig, Emiliano Lorini:
Stratified Evidence Logics. 1523-1529 - Bartosz Bednarczyk, Sebastian Rudolph:
Worst-Case Optimal Querying of Very Expressive Description Logics with Path Expressions and Succinct Counting. 1530-1536 - Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane:
Comparing Options with Argument Schemes Powered by Cancellation. 1537-1543 - Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi:
Possibilistic Games with Incomplete Information. 1544-1550 - Michael Benedikt, Pierre Bourhis, Louis Jachiet, Michaël Thomazo:
Reasoning about Disclosure in Data Integration in the Presence of Source Constraints. 1551-1557 - Meghyn Bienvenu, Pierre Bourhis:
Mixed-World Reasoning with Existential Rules under Active-Domain Semantics. 1558-1565 - Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín, Daniel Borrajo:
Guarantees for Sound Abstractions for Generalized Planning. 1566-1573 - Anneke Bötcher, Carsten Lutz, Frank Wolter:
Ontology Approximation in Horn Description Logics. 1574-1580 - Pierre Bourhis, Michel Leclère, Marie-Laure Mugnier, Sophie Tison, Federico Ulliana, Lily Gallois:
Oblivious and Semi-Oblivious Boundedness for Existential Rules. 1581-1587 - Patricia Bouyer, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano, Giuseppe Perelli:
Reasoning about Quality and Fuzziness of Strategic Behaviours. 1588-1594 - Laura Bozzelli, Bastien Maubert, Aniello Murano:
The Complexity of Model Checking Knowledge and Time. 1595-1601 - Ronen I. Brafman, Giuseppe De Giacomo:
Planning for LTLf /LDLf Goals in Non-Markovian Fully Observable Nondeterministic Domains. 1602-1608 - Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Model. 1609-1615 - Diego Calvanese, Davide Lanti, Ana Ozaki, Rafael Peñaloza, Guohui Xiao:
Enriching Ontology-based Data Access with Provenance. 1616-1623 - David Carral, Irina Dragoste, Markus Krötzsch, Christian Lewe:
Chasing Sets: How to Use Existential Rules for Expressive Reasoning. 1624-1631 - Giovanni Casini, Thomas Meyer, Ivan Varzinczak:
Simple Conditionals with Constrained Right Weakening. 1632-1638 - Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Explanations for Query Answers under Existential Rules. 1639-1646 - Gianluca Cima, Maurizio Lenzerini, Antonella Poggi:
Semantic Characterization of Data Services through Ontologies. 1647-1653 - Marco Console, Matthias F. J. Hofer, Leonid Libkin:
Measuring the Likelihood of Numerical Constraints. 1654-1660 - Juan D. Correa, Elias Bareinboim:
From Statistical Transportability to Estimating the Effect of Stochastic Interventions. 1661-1667 - Ronald de Haan, Marija Slavkovik:
Answer Set Programming for Judgment Aggregation. 1668-1674 - Camillo Fiorentini:
An ASP Approach to Generate Minimal Countermodels in Intuitionistic Propositional Logic. 1675-1681 - Maurice Funk, Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter:
Learning Description Logic Concepts: When can Positive and Negative Examples be Separated?. 1682-1688 - Ruipeng Gao, Xiaoyu Guo, Fuyong Sun, Lin Dai, Jiayan Zhu, Chenxi Hu, Haibo Li:
Aggressive Driving Saves More Time? Multi-task Learning for Customized Travel Time Estimation. 1689-1696 - Cunjing Ge, Feifei Ma, Xutong Ma, Fan Zhang, Pei Huang, Jian Zhang:
Approximating Integer Solution Counting via Space Quantification for Linear Constraints. 1697-1703 - Amélie Gheerbrant, Cristina Sirangelo:
Best Answers over Incomplete Data : Complexity and First-Order Rewritings. 1704-1710 - Stephan Gocht, Jakob Nordström, Amir Yehudayoff:
On Division Versus Saturation in Pseudo-Boolean Solving. 1711-1718 - Tomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung, Filip Murlak:
On Finite and Unrestricted Query Entailment beyond SQ with Number Restrictions on Transitive Roles. 1719-1725 - Adrian Haret, Stefan Woltran:
Belief Revision Operators with Varying Attitudes Towards Initial Beliefs. 1726-1733 - Wojciech Jamroga, Michal Knapik:
Some Things are Easier for the Dumb and the Bright Ones (Beware the Average!). 1734-1740 - Dominik Klein, Rasmus Kræmmer Rendsvig:
Converging on Common Knowledge. 1741-1748 - Sébastien Konieczny, Pierre Marquis, Srdjan Vesic:
Rational Inference Relations from Maximal Consistent Subsets Selection. 1749-1755 - Christophe Labreuche, Sébastien Destercke:
How to Handle Missing Values in Multi-Criteria Decision Aiding?. 1756-1763 - Gerhard Lakemeyer, Hector J. Levesque:
A Tractable, Expressive, and Eventually Complete First-Order Logic of Limited Belief. 1764-1771 - Wuwei Lan, Yanyan Xu, Bin Zhao:
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach. 1772-1778 - Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen:
Augmenting Transfer Learning with Semantic Reasoning. 1779-1785 - Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo:
Revisiting Controlled Query Evaluation in Description Logics. 1786-1792 - Ang Li, Judea Pearl:
Unit Selection Based on Counterfactual Logic. 1793-1799 - Zhongyang Li, Xiao Ding, Ting Liu:
Story Ending Prediction by Transferable BERT. 1800-1806 - Wei Liu, Zhi-Jie Wang, Bin Yao, Jian Yin:
Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism. 1807-1813 - Kailun Luo, Yongmei Liu:
Automatic Verification of FSA Strategies via Counterexample-Guided Local Search for Invariants. 1814-1821 - Hugo Martin, Patrice Perny:
BiOWA for Preference Aggregation with Bipolar Scales: Application to Fair Optimization in Combinatorial Domains. 1822-1828 - Charalampos Nikolaou, Bernardo Cuenca Grau, Egor V. Kostylev, Mark Kaminski, Ian Horrocks:
Satisfaction and Implication of Integrity Constraints in Ontology-based Data Access. 1829-1835 - Aomar Osmani, Massinissa Hamidi, Salah Bouhouche:
Monitoring of a Dynamic System Based on Autoencoders. 1836-1843 - Michaël Perrot, Ulrike von Luxburg:
Boosting for Comparison-Based Learning. 1844-1850 - Vladislav Ryzhikov, Przemyslaw Andrzej Walega, Michael Zakharyaschev:
Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics. 1851-1857 - Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann:
Belief Update without Compactness in Non-finitary Languages. 1858-1864 - Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario. 1865-1871 - Dhanya Sridhar, Lise Getoor:
Estimating Causal Effects of Tone in Online Debates. 1872-1878 - Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan:
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving. 1879-1885 - Przemyslaw Andrzej Walega, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev:
DatalogMTL: Computational Complexity and Expressive Power. 1886-1892 - Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang:
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction. 1893-1899 - Paul Wild, Lutz Schröder, Dirk Pattinson, Barbara König:
A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic. 1900-1906 - Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. 1907-1913 - Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng:
Profit-driven Task Assignment in Spatial Crowdsourcing. 1914-1920 - Zhipeng Xie, Feiteng Mu:
Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns. 1921-1927 - Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. 1928-1934 - Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin:
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. 1935-1942 - Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo:
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. 1943-1949
Machine Learning A-L
- David Abel, John Winder, Marie desJardins, Michael L. Littman:
The Expected-Length Model of Options. 1951-1958 - Homayun Afrabandpey, Tomi Peltola, Samuel Kaski:
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. 1959-1966 - Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib:
Inter-node Hellinger Distance based Decision Tree. 1967-1973 - Hamoon Azizsoltani, Yeo-Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts. 1974-1980 - Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng:
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. 1981-1987 - Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang:
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. 1988-1994 - Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf:
Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. 1995-2001 - Elaheh Barati, Xuewen Chen:
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments. 2002-2008 - Alessandro Betti, Marco Gori, Stefano Melacci:
Motion Invariance in Visual Environments. 2009-2015 - Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba:
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. 2016-2022 - Nadjet Bourdache, Patrice Perny, Olivier Spanjaard:
Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression. 2023-2029 - Klaus Broelemann, Gjergji Kasneci:
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. 2030-2037 - Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh:
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. 2038-2044 - Kalesha Bullard, Yannick Schroecker, Sonia Chernova:
Active Learning within Constrained Environments through Imitation of an Expert Questioner. 2045-2052 - Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang:
Multi-View Active Learning for Video Recommendation. 2053-2059 - Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. 2060-2066 - Bertrand Charpentier, Thomas Bonald:
Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering. 2067-2073 - Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian:
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. 2074-2080 - Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang:
Theoretical Investigation of Generalization Bound for Residual Networks. 2081-2087 - Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton:
Learning Semantic Annotations for Tabular Data. 2088-2094 - Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng:
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. 2095-2101 - Shangyu Chen, Wenya Wang, Sinno Jialin Pan:
Cooperative Pruning in Cross-Domain Deep Neural Network Compression. 2102-2108 - Tian-Yi Chen, Lan Zhang, Shi-cong Zhang, Zi-long Li, Bai-chuan Huang:
Extensible Cross-Modal Hashing. 2109-2115 - Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang:
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. 2116-2122 - Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. 2123-2129 - Zefeng Chen, Yuren Zhou, Xiaoyu He, Siyu Jiang:
A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning. 2130-2136 - Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen:
Co-Attentive Multi-Task Learning for Explainable Recommendation. 2137-2143 - Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou:
Variational Graph Embedding and Clustering with Laplacian Eigenmaps. 2144-2150 - Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo:
Deep Active Learning for Anchor User Prediction. 2151-2157 - Chaoran Cheng, Fei Tan, Xiurui Hou, Zhi Wei:
Success Prediction on Crowdfunding with Multimodal Deep Learning. 2158-2164 - Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang:
Approximate Optimal Transport for Continuous Densities with Copulas. 2165-2171 - Youngwon Choi, Joong-Ho Won:
Ornstein Auto-Encoders. 2172-2178 - Michael K. Cohen, Elliot Catt, Marcus Hutter:
A Strongly Asymptotically Optimal Agent in General Environments. 2179-2186 - Jean-Baptiste Cordonnier, Andreas Loukas:
Extrapolating Paths with Graph Neural Networks. 2187-2194 - Federico Corò, Gianlorenzo D'Angelo, Yllka Velaj:
Recommending Links to Maximize the Influence in Social Networks. 2195-2201 - Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung:
Three-Player Wasserstein GAN via Amortised Duality. 2202-2208 - Ariyam Das, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang, Carlo Zaniolo:
Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples. 2209-2215 - Kangle Deng, Tianyi Fei, Xin Huang, Yuxin Peng:
IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation. 2216-2222 - Maria Dimakopoulou, Nikos Vlassis, Tony Jebara:
Marginal Posterior Sampling for Slate Bandits. 2223-2229 - Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin:
Reinforced Negative Sampling for Recommendation with Exposure Data. 2230-2236 - Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang:
Group Reconstruction and Max-Pooling Residual Capsule Network. 2237-2243 - Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu:
Crafting Efficient Neural Graph of Large Entropy. 2244-2250 - Xingbo Du, Junchi Yan, Hongyuan Zha:
Joint Link Prediction and Network Alignment via Cross-graph Embedding. 2251-2257 - Soroush Ebadian, Xin Huang:
Fast Algorithm for K-Truss Discovery on Public-Private Graphs. 2258-2264 - Zhila Esna Ashari, Hassan Ghasemzadeh:
Mindful Active Learning. 2265-2271 - Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu:
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. 2272-2278 - Zhou Fan, Rui Su, Weinan Zhang, Yong Yu:
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. 2279-2285 - Shen Fang, Qi Zhang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction. 2286-2293 - Lei Feng, Bo An:
Partial Label Learning by Semantic Difference Maximization. 2294-2300 - Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang:
Deep Session Interest Network for Click-Through Rate Prediction. 2301-2307 - Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti:
Curriculum Learning for Cumulative Return Maximization. 2308-2314 - Ian Fox, Jenna Wiens:
Advocacy Learning: Learning through Competition and Class-Conditional Representations. 2315-2321 - Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He:
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. 2322-2328 - Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan:
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. 2329-2335 - Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu:
Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards. 2336-2342 - Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider:
RecoNet: An Interpretable Neural Architecture for Recommender Systems. 2343-2349 - Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. 2350-2356 - Javier Garcia-Barcos, Ruben Martinez-Cantin:
Fully Distributed Bayesian Optimization with Stochastic Policies. 2357-2363 - Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. 2364-2370 - Mahsa Ghasemi, Ufuk Topcu:
Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes. 2371-2377 - Joachim Giesen, Frank Nussbaum, Christopher Schneider:
Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization. 2378-2384 - Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. 2385-2391 - Qilong Gu, Arindam Banerjee:
Sketched Iterative Algorithms for Structured Generalized Linear Models. 2392-2398 - Junliang Guo, Linli Xu, Jingchang Liu:
SPINE: Structural Identity Preserved Inductive Network Embedding. 2399-2405 - Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen:
Discriminative Sample Generation for Deep Imbalanced Learning. 2406-2412 - Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Affine Equivariant Autoencoder. 2413-2419 - Xueying Guo, Xiaoxiao Wang, Xin Liu:
AdaLinUCB: Opportunistic Learning for Contextual Bandits. 2420-2427 - Yuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai:
Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks. 2428-2434 - Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai:
Landmark Selection for Zero-shot Learning. 2435-2441 - William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. 2442-2448 - Jiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi:
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes. 2449-2455 - Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. 2456-2462 - Yu Han, Jie Tang, Qian Chen:
Network Embedding under Partial Monitoring for Evolving Networks. 2463-2469 - Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir:
Deep Active Learning with Adaptive Acquisition. 2470-2476 - Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song:
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks. 2477-2483 - Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen:
Deliberation Learning for Image-to-Image Translation. 2484-2490 - Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu:
Online Learning from Capricious Data Streams: A Generative Approach. 2491-2497 - Ryohei Hisano:
Learning Topic Models by Neighborhood Aggregation. 2498-2505 - Haruo Hosoya:
Group-based Learning of Disentangled Representations with Generalizability for Novel Contents. 2506-2513 - En-Liang Hu, Quanming Yao:
Robust Learning from Noisy Side-information by Semidefinite Programming. 2514-2520 - Peng Hu, Rong Du, Yao Hu, Nan Li:
Hybrid Item-Item Recommendation via Semi-Parametric Embedding. 2521-2527 - Yi-Qi Hu, Yang Yu, Jun-Da Liao:
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. 2528-2534 - Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang:
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. 2535-2541 - Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang:
Privacy-aware Synthesizing for Crowdsourced Data. 2542-2548 - Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang:
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. 2549-2555 - Haiwen Huang, Chang Wang, Bin Dong:
Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate. 2556-2562 - Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv:
Multi-view Spectral Clustering Network. 2563-2569 - Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed:
Conditions on Features for Temporal Difference-Like Methods to Converge. 2570-2577 - Riikka Huusari, Hachem Kadri:
Entangled Kernels. 2578-2584 - Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan:
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks. 2585-2591 - Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier:
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. 2592-2599 - Ankit Jalan, Purushottam Kar:
Accelerating Extreme Classification via Adaptive Feature Agglomeration. 2600-2606 - Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee:
Assumed Density Filtering Q-learning. 2607-2613 - Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li:
Learning to Learn Gradient Aggregation by Gradient Descent. 2614-2620 - Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. 2621-2627 - Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring. 2628-2634 - Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao:
Dynamic Hypergraph Neural Networks. 2635-2641 - Junyang Jiang, Deqing Yang, Yanghua Xiao, Chenlu Shen:
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty. 2642-2648 - Qiang Jiang, Michael Ng:
Robust Low-Tubal-Rank Tensor Completion via Convex Optimization. 2649-2655 - Xiaodong Jiang, Pengsheng Ji, Sheng Li:
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks. 2656-2662 - Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang:
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. 2663-2669 - Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji:
Hypergraph Induced Convolutional Manifold Networks. 2670-2676 - K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian:
Submodular Batch Selection for Training Deep Neural Networks. 2677-2683 - Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Ervin Teng, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange:
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning. 2684-2691 - Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Interactive Teaching Algorithms for Inverse Reinforcement Learning. 2692-2700 - Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu:
Multiple Partitions Aligned Clustering. 2701-2707 - Eoin M. Kenny, Mark T. Keane:
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI. 2708-2715 - Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck:
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. 2716-2724 - Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. 2725-2732 - Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris:
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. 2733-2739 - Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu:
Sequential and Diverse Recommendation with Long Tail. 2740-2746 - Qiuqiang Kong, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley:
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks. 2747-2753 - Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra:
Autoregressive Policies for Continuous Control Deep Reinforcement Learning. 2754-2762 - Bartosz Krawczyk, Alberto Cano:
Adaptive Ensemble Active Learning for Drifting Data Stream Mining. 2763-2771 - Anurag Kumar, Ankit Shah, Alexander G. Hauptmann, Bhiksha Raj:
Learning Sound Events from Webly Labeled Data. 2772-2778 - Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. 2779-2785 - Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier:
Perturbed-History Exploration in Stochastic Multi-Armed Bandits. 2786-2793 - Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang:
Meta Reinforcement Learning with Task Embedding and Shared Policy. 2794-2800 - Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki:
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. 2801-2807 - Duc-Trong Le, Hady W. Lauw, Yuan Fang:
Correlation-Sensitive Next-Basket Recommendation. 2808-2814 - Dung D. Le, Hady W. Lauw:
Learning Multiple Maps from Conditional Ordinal Triplets. 2815-2822 - Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung:
Learning Generative Adversarial Networks from Multiple Data Sources. 2823-2829 - Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu:
Action Space Learning for Heterogeneous User Behavior Prediction. 2830-2836 - Seungwon Lee, James Stokes, Eric Eaton:
Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks. 2837-2844 - Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon:
Similarity Preserving Representation Learning for Time Series Clustering. 2845-2851 - Nam Lê Tien, Amaury Habrard, Marc Sebban:
Differentially Private Optimal Transport: Application to Domain Adaptation. 2852-2858 - Chang Li, Maarten de Rijke:
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model. 2859-2865 - Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan:
A Review-Driven Neural Model for Sequential Recommendation. 2866-2872 - Chong Li, Kunyang Jia, Dan Shen, Chuanjin Richard Shi, Hongxia Yang:
Hierarchical Representation Learning for Bipartite Graphs. 2873-2879 - Jian Li, Yong Liu, Rong Yin, Weiping Wang:
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm. 2880-2886 - Jian Li, Yong Liu, Rong Yin, Weiping Wang:
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis. 2887-2893 - Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji:
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation. 2894-2900 - Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. 2901-2908 - Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang:
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss. 2909-2915 - Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang:
Flexible Multi-View Representation Learning for Subspace Clustering. 2916-2922 - Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung:
Improved Algorithm on Online Clustering of Bandits. 2923-2929 - Xiaosheng Li, Jessica Lin, Liang Zhao:
Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. 2930-2936 - Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang:
Learning Network Embedding with Community Structural Information. 2937-2943 - Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li:
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. 2944-2951 - Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang:
Deep Adversarial Multi-view Clustering Network. 2952-2958 - Ziyao Li, Liang Zhang, Guojie Song:
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. 2959-2965 - Xiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang:
Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval. 2966-2972 - Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang:
Worst-Case Discriminative Feature Selection. 2973-2979 - Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen:
Image-to-Image Translation with Multi-Path Consistency Regularization. 2980-2986 - Weibo Lin, Zhu He, Mingyu Xiao:
Balanced Clustering: A Uniform Model and Fast Algorithm. 2987-2993 - Chihuang Liu, Joseph F. JáJá:
Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness. 2994-3000 - Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. 3001-3007 - Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie:
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. 3008-3014 - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. 3015-3022 - Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao:
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. 3023-3030 - Xingbo Liu, Xiushan Nie, Quan Zhou, Xiaoming Xi, Lei Zhu, Yilong Yin:
Supervised Short-Length Hashing. 3031-3037 - Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao:
Graph and Autoencoder Based Feature Extraction for Zero-shot Learning. 3038-3044 - Yuanyuan Liu, Fanhua Shang, Licheng Jiao:
Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor. 3045-3051 - Yuliang Liu, Sheng Zhang, Lianwen Jin, Lele Xie, Yaqiang Wu, Zhepeng Wang:
Omnidirectional Scene Text Detection with Sequential-free Box Discretization. 3052-3058 - Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie:
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. 3059-3065 - Zhi Gang Liu, Matthew Mattina:
Learning Low-precision Neural Networks without Straight-Through Estimator (STE). 3066-3072 - Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan:
Parametric Manifold Learning of Gaussian Mixture Models. 3073-3079 - Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang:
Multi-Objective Generalized Linear Bandits. 3080-3086 - Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song:
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. 3087-3093 - Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan:
E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation. 3094-3100 - Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng:
Weakly Supervised Multi-Label Learning via Label Enhancement. 3101-3107
Machine Learning M-Z
- Haojie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu:
AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition. 3109-3115 - Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte Carlo Tree Search for Policy Optimization. 3116-3122 - Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu:
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. 3123-3129 - Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller:
On Principled Entropy Exploration in Policy Optimization. 3130-3136 - Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt:
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. 3137-3143 - Katherine Metcalf, David Leake:
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations. 3144-3150 - Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings:
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. 3151-3157 - Di Ming, Chris Ding:
Robust Flexible Feature Selection via Exclusive L21 Regularization. 3158-3164 - Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier:
Advantage Amplification in Slowly Evolving Latent-State Environments. 3165-3172 - Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer:
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. 3173-3179 - Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan:
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. 3180-3186 - Mehrnaz Najafi, Lifang He, Philip S. Yu:
Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization. 3187-3194 - Jun Hao Alvin Ng, Ronald P. A. Petrick:
Incremental Learning of Planning Actions in Model-Based Reinforcement Learning. 3195-3201 - Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben:
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning. 3202-3208 - Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White:
Hill Climbing on Value Estimates for Search-control in Dyna. 3209-3215 - Elham Parhizkar, Mohammad Hossein Nikravan, Sandra Zilles:
Indirect Trust is Simple to Establish. 3216-3222 - Hogun Park, Jennifer Neville:
Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks. 3223-3230 - Shichao Pei, Lu Yu, Xiangliang Zhang:
Improving Cross-lingual Entity Alignment via Optimal Transport. 3231-3237 - Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu:
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. 3238-3245 - Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin:
A Practical Semi-Parametric Contextual Bandit. 3246-3252 - João P. B. Pereira, Albert K. Groen, Erik S. G. Stroes, Evgeni Levin:
Graph Space Embedding. 3253-3259 - Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. 3260-3267 - Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong:
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. 3268-3274 - Xiangju Qin, Paul Blomstedt, Samuel Kaski:
Scalable Bayesian Non-linear Matrix Completion. 3275-3281 - Zhenyu Qiu, Wenbin Hu, Jia Wu, Zhongzheng Tang, Xiaohua Jia:
Noise-Resilient Similarity Preserving Network Embedding for Social Networks. 3282-3288 - Tahleen A. Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang:
Fairwalk: Towards Fair Graph Embedding. 3289-3295 - Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag:
Automated Machine Learning with Monte-Carlo Tree Search. 3296-3303 - Rahul Ramesh, Manan Tomar, Balaraman Ravindran:
Successor Options: An Option Discovery Framework for Reinforcement Learning. 3304-3310 - Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Unifying the Stochastic and the Adversarial Bandits with Knapsack. 3311-3317 - Tingting Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li:
Label distribution learning with label-specific features. 3318-3324 - Tingting Ren, Xiuyi Jia, Weiwei Li, Shu Zhao:
Label Distribution Learning with Label Correlations via Low-Rank Approximation. 3325-3331 - Amanda Rios, Laurent Itti:
Closed-Loop Memory GAN for Continual Learning. 3332-3338 - Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly:
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. 3339-3345 - Chunyang Ruan, Jiangang Ma, Ye Wang, Yanchun Zhang, Yun Yang:
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model. 3346-3352 - Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
A Degeneracy Framework for Scalable Graph Autoencoders. 3353-3359 - Ritesh Sarkhel, Arnab Nandi:
Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents. 3360-3366 - Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey:
SynthNet: Learning to Synthesize Music End-to-End. 3367-3374 - Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan:
Weakly Supervised Multi-task Learning for Semantic Parsing. 3375-3381 - Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang:
Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion. 3382-3388 - Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. 3389-3396 - Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang:
A Part Power Set Model for Scale-Free Person Retrieval. 3397-3403 - Feng Shi, Yufeng Li:
Rapid Performance Gain through Active Model Reuse. 3404-3410 - Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu:
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. 3411-3417 - Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. 3418-3424 - Wenjie Shi, Shiji Song, Cheng Wu:
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning. 3425-3431 - Yu Shi, Jian Li, Zhize Li:
Gradient Boosting with Piece-Wise Linear Regression Trees. 3432-3438 - Bonggun Shin, Hao Yang, Jinho D. Choi:
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. 3439-3445 - Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné:
A Principled Approach for Learning Task Similarity in Multitask Learning. 3446-3452 - Thiago D. Simão, Matthijs T. J. Spaan:
Structure Learning for Safe Policy Improvement. 3453-3459 - Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. 3460-3466 - HyungSeok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi:
Solving Continual Combinatorial Selection via Deep Reinforcement Learning. 3467-3474 - Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu:
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning. 3475-3482 - Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. 3483-3489 - Mahito Sugiyama, Karsten M. Borgwardt:
Finding Statistically Significant Interactions between Continuous Features. 3490-3498 - Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. 3499-3505 - Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. 3506-3512 - Mingfei Sun, Xiaojuan Ma:
Adversarial Imitation Learning from Incomplete Demonstrations. 3513-3519 - Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou:
Heavy-ball Algorithms Always Escape Saddle Points. 3520-3526 - Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar:
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. 3527-3533 - Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang:
Metric Learning on Healthcare Data with Incomplete Modalities. 3534-3540 - Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa:
HMLasso: Lasso with High Missing Rate. 3541-3547 - Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li:
Deeply-learned Hybrid Representations for Facial Age Estimation. 3548-3554 - Philip Tannor, Lior Rokach:
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation. 3555-3561 - Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu:
Adversarial Graph Embedding for Ensemble Clustering. 3562-3568 - Bing Tian, Yong Zhang, Jin Wang, Chunxiao Xing:
Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning. 3569-3575 - Junjiao Tian, Jean Oh:
Image Captioning with Compositional Neural Module Networks. 3576-3584 - Faraz Torabi, Garrett Warnell, Peter Stone:
Imitation Learning from Video by Leveraging Proprioception. 3585-3591 - Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher:
Exchangeability and Kernel Invariance in Trained MLPs. 3592-3598 - Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov:
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning. 3599-3605 - Rong-Cheng Tu, Xianling Mao, Bo-Si Feng, Shu-ying Yu:
Object Detection based Deep Unsupervised Hashing. 3606-3612 - Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian:
Ensemble-based Ultrahigh-dimensional Variable Screening. 3613-3619 - Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images using Wikipedia. 3620-3626 - Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis. 3627-3634 - Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz:
Interpolation Consistency Training for Semi-supervised Learning. 3635-3641 - Tung-Long Vuong, Do Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu, Viet-Cuong Ta, Quoc-Long Tran, Thanh Ha Le:
Sharing Experience in Multitask Reinforcement Learning. 3642-3648 - Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton:
Planning with Expectation Models. 3649-3655 - Baoxiang Wang:
Recurrent Existence Determination Through Policy Optimization. 3656-3662 - Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang:
Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. 3663-3669 - Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang:
Attributed Graph Clustering: A Deep Attentional Embedding Approach. 3670-3676 - Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. 3677-3683 - Hao Wang, Shaokang Dong, Ling Shao:
Measuring Structural Similarities in Finite MDPs. 3684-3690 - Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen:
Discriminative and Correlative Partial Multi-Label Learning. 3691-3697 - Huizhao Wang, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng:
DMRAN: A Hierarchical Fine-Grained Attention-Based Network for Recommendation. 3698-3704 - Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu:
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets. 3705-3711 - Jing Wang, Xin Geng:
Classification with Label Distribution Learning. 3712-3718 - Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi:
Attributed Subspace Clustering. 3719-3725 - Kaiqi Wang, Ke Chen, Kui Jia:
Deep Cascade Generation on Point Sets. 3726-3732 - Ke Wang, Xin Geng:
Discrete Binary Coding based Label Distribution Learning. 3733-3739 - Lingxiao Wang, Quanquan Gu:
Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning. 3740-3747 - Ning Wang, Jingyuan Li, Lefei Zhang, Bo Du:
MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting. 3748-3754 - Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou:
Partial Label Learning with Unlabeled Data. 3755-3761 - Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks for Unknown Malware Detection. 3762-3770 - Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. 3771-3777 - Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin:
Multi-view Clustering via Late Fusion Alignment Maximization. 3778-3784 - Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He:
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning. 3785-3791 - Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan:
Position Focused Attention Network for Image-Text Matching. 3792-3798 - Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun:
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. 3799-3805 - Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang:
Weak Supervision Enhanced Generative Network for Question Generation. 3806-3812 - Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang:
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. 3813-3819 - Zhaodong Wang, Matthew E. Taylor:
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations. 3820-3827 - Zhitao Wang, Wenjie Li:
Hierarchical Diffusion Attention Network. 3828-3834 - Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum:
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. 3835-3841 - Tong Wei, Wei-Wei Tu, Yufeng Li:
Learning for Tail Label Data: A Label-Specific Feature Approach. 3842-3848 - Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen:
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation. 3849-3855 - Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan:
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. 3856-3862 - Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. 3863-3869 - Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan:
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation. 3870-3876 - Qitian Wu, Lei Jiang, Xiaofeng Gao, Xiaochun Yang, Guihai Chen:
Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust. 3877-3883 - Xuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang, Xiaobo Wang, Min-Ling Zhang:
Multi-View Multi-Label Learning with View-Specific Information Extraction. 3884-3890 - Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong:
Trend-Aware Tensor Factorization for Job Skill Demand Analysis. 3891-3897 - Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen:
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. 3898-3904 - Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai:
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. 3905-3911 - Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li:
Incremental Few-Shot Learning for Pedestrian Attribute Recognition. 3912-3918 - Sang Michael Xie, Stefano Ermon:
Reparameterizable Subset Sampling via Continuous Relaxations. 3919-3925 - Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose:
CFM: Convolutional Factorization Machines for Context-Aware Recommendation. 3926-3932 - Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling:
Adversarial Incomplete Multi-view Clustering. 3933-3939 - Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou:
Graph Contextualized Self-Attention Network for Session-based Recommendation. 3940-3946 - Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang:
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. 3947-3953 - Han Xu, Pengwei Liang, Wei Yu, Junjun Jiang, Jiayi Ma:
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators. 3954-3960 - Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin:
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. 3961-3967 - Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao:
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions. 3968-3974 - Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu:
Commit Message Generation for Source Code Changes. 3975-3981 - Suping Xu, Lin Shang, Furao Shen:
Latent Semantics Encoding for Label Distribution Learning. 3982-3988 - Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu:
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation. 3989-3995 - Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng:
Zero-shot Metric Learning. 3996-4002 - Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang:
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization. 4003-4009 - Zhe Xu, Ufuk Topcu:
Transfer of Temporal Logic Formulas in Reinforcement Learning. 4010-4018 - Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun:
Deep Spectral Kernel Learning. 4019-4025 - Zhe Xue, Junping Du, Dawei Du, Wenqi Ren, Siwei Lyu:
Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification. 4026-4032 - Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu:
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. 4033-4039 - Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie:
Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method. 4040-4046 - Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang:
Low-Bit Quantization for Attributed Network Representation Learning. 4047-4053 - Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo:
Topology Optimization based Graph Convolutional Network. 4054-4061 - Liang Yang, Zhiyang Chen, Junhua Gu, Yuanfang Guo:
Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology. 4062-4069 - Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo:
Masked Graph Convolutional Network. 4070-4077 - Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He:
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. 4078-4084 - Wenmian Yang, Weijia Jia, Xiaojie Zhou, Yutao Luo:
Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network. 4085-4091 - Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang:
Comprehensive Semi-Supervised Multi-Modal Learning. 4092-4098 - Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao:
SPAGAN: Shortest Path Graph Attention Network. 4099-4105 - Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang:
On the Estimation of Treatment Effect with Text Covariates. 4106-4113 - Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. 4114-4120 - Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clustering. 4121-4127 - Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. 4128-4134 - Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang:
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment. 4135-4141 - Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai:
Distributed Collaborative Feature Selection Based on Intermediate Representation. 4142-4149 - Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection. 4150-4156 - Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo:
Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction. 4157-4163 - Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
BN-invariant Sharpness Regularizes the Training Model to Better Generalization. 4164-4170 - Shihui Ying, Lipeng Cai, Changzhou He, Yaxin Peng:
Geometric Understanding for Unsupervised Subspace Learning. 4171-4177 - Jaemin Yoo, Hyunsik Jeon, U Kang:
Belief Propagation Network for Hard Inductive Semi-Supervised Learning. 4178-4184 - Kenny Young, Baoxiang Wang, Matthew E. Taylor:
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control. 4185-4191 - Chong Yu:
Semi-supervised Three-dimensional Reconstruction Framework with GAN. 4192-4198 - Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen:
Interpreting and Evaluating Neural Network Robustness. 4199-4205 - Xianwen Yu, Xiaoning Zhang, Yang Cao, Min Xia:
VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders. 4206-4212 - Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie:
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. 4213-4219 - Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Progressive Transfer Learning for Person Re-identification. 4220-4226 - Feng Yuan, Lina Yao, Boualem Benatallah:
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. 4227-4233 - Linghua Zeng, Zhangcheng Wang, Xinmei Tian:
KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network. 4234-4242 - Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Experience Replay Optimization. 4243-4249 - Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong:
Positive and Unlabeled Learning with Label Disambiguation. 4250-4256 - Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng:
Generalized Majorization-Minimization for Non-Convex Optimization. 4257-4263 - Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King:
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. 4264-4270 - Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen:
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. 4271-4277 - Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding:
ProNE: Fast and Scalable Network Representation Learning. 4278-4284 - Jingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan S. Kankanhalli:
Towards Robust ResNet: A Small Step but a Giant Leap. 4285-4291 - Miao Zhang, Huiqi Li, Steven W. Su:
High Dimensional Bayesian Optimization via Supervised Dimension Reduction. 4292-4298 - Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie:
Efficient Non-parametric Bayesian Hawkes Processes. 4299-4305 - Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen:
Inferring Substitutable Products with Deep Network Embedding. 4306-4312 - Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. 4313-4319 - Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou:
Feature-level Deeper Self-Attention Network for Sequential Recommendation. 4320-4326 - Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu:
Attributed Graph Clustering via Adaptive Graph Convolution. 4327-4333 - Xiaowang Zhang, Qiang Gao, Zhiyong Feng:
InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction. 4334-4340 - Yawen Zhang, Qin Lv, Duanfeng Gao, Si Shen, Robert P. Dick, Michael Hannigan, Qi Liu:
Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction. 4341-4347 - Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas:
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. 4348-4354 - Yipeng Zhang, Bo Du, Lefei Zhang, Rongchun Li, Yong Dou:
Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure. 4355-4361 - Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin:
DANE: Domain Adaptive Network Embedding. 4362-4368 - Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi:
ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling. 4369-4375 - Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. 4376-4382 - Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He:
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks. 4383-4389 - Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai:
Localizing Unseen Activities in Video via Image Query. 4390-4396 - Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Multi-Prototype Networks for Unconstrained Set-based Face Recognition. 4397-4403 - Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu:
GAN-EM: GAN Based EM Learning Framework. 4404-4411 - Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang:
Large Scale Evolving Graphs with Burst Detection. 4412-4418 - Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao:
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. 4419-4425 - Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang:
Metadata-driven Task Relation Discovery for Multi-task Learning. 4426-4432 - Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye:
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. 4433-4439 - Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Latent Distribution Preserving Deep Subspace Clustering. 4440-4446 - Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. 4447-4453 - Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie:
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. 4454-4460 - Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao:
One-Shot Texture Retrieval with Global Context Metric. 4461-4467 - Lin Zhu, Jiaxing Lu, Yihong Chen:
HDI-Forest: Highest Density Interval Regression Forest. 4468-4474 - Xiaofeng Zhu:
Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information. 4475-4481 - Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi:
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. 4482-4488 - Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko:
Persistence Bag-of-Words for Topological Data Analysis. 4489-4495 - Matthieu Zimmer, Paul Weng:
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. 4496-4502
Machine Learning Applications
- Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam J. Metzger, Jay F. Nunamaker Jr., V. S. Subrahmanian:
Predicting the Visual Focus of Attention in Multi-Person Discussion Videos. 4504-4510 - Zhihuai Chen, Yinan Li, Xiaoming Sun, Pei Yuan, Jialin Zhang:
A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization. 4511-4517 - Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao:
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. 4518-4524 - Joachim Giesen, Sören Laue:
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints. 4525-4531 - Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan:
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. 4532-4539 - Tianyu Liu, Zijie Zheng, Hongchang Li, Kaigui Bian, Lingyang Song:
Playing Card-Based RTS Games with Deep Reinforcement Learning. 4540-4546 - Zhongzhou Liu, Wenbin Hu:
FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power. 4547-4553 - Jiaqi Ma, Yipeng Zhang, Lefei Zhang, Bo Du, Dapeng Tao:
Pseudo Supervised Matrix Factorization in Discriminative Subspace. 4554-4560 - Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Chao Qi, Zhaojie Liu, Yanlong Du:
Representation Learning-Assisted Click-Through Rate Prediction. 4561-4567 - Wei Qiu, Haipeng Chen, Bo An:
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. 4568-4574 - David Radke, Anna Hessler, Dan Ellsworth:
FireCast: Leveraging Deep Learning to Predict Wildfire Spread. 4575-4581 - Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng:
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. 4582-4589 - Myungjae Shin, Joongheon Kim:
Randomized Adversarial Imitation Learning for Autonomous Driving. 4590-4596 - Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Scaling Fine-grained Modularity Clustering for Massive Graphs. 4597-4604 - Uriel Singer, Ido Guy, Kira Radinsky:
Node Embedding over Temporal Graphs. 4605-4612 - Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Medical Concept Embedding with Multiple Ontological Representations. 4613-4619 - Yanan Xu, Yanmin Zhu, Yanyan Shen, Jiadi Yu:
Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation. 4620-4626 - Aiping Yang, Haixin Wang, Zhong Ji, Yanwei Pang, Ling Shao:
Dual-Path in Dual-Path Network for Single Image Dehazing. 4627-4634 - Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang:
Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. 4635-4641
Multidisciplinary Topics and Applications
- Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian:
Predicting dominance in multi-person videos. 4643-4650 - Dâmaris S. Bento, André Grahl Pereira, Levi H. S. Lelis:
Procedural Generation of Initial States of Sokoban. 4651-4657 - Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks. 4658-4664 - Xu Duan, Jingzheng Wu, Shouling Ji, Zhiqing Rui, Tianyue Luo, Mutian Yang, Yanjun Wu:
VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities. 4665-4671 - Yuan Gong, Boyang Li, Christian Poellabauer, Yiyu Shi:
Real-Time Adversarial Attacks. 4672-4680 - Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. 4681-4688 - Bo Huang, Yi Wang, Wei Wang:
Model-Agnostic Adversarial Detection by Random Perturbations. 4689-4696 - Yun-Ning Hung, I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang:
Musical Composition Style Transfer via Disentangled Timbre Representations. 4697-4703 - Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu:
Multiple Policy Value Monte Carlo Tree Search. 4704-4710 - Linyi Li, Zexuan Zhong, Bo Li, Tao Xie:
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. 4711-4717 - Jen-Yu Liu, Yi-Hsuan Yang:
Dilated Convolution with Dilated GRU for Music Source Separation. 4718-4724 - Tianlong Liu, Yu Qi, Liang Shi, Jianan Yan:
Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural Networks. 4725-4731 - Yuzhe Ma, Xiaojin Zhu, Justin Hsu:
Data Poisoning against Differentially-Private Learners: Attacks and Defenses. 4732-4738 - Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou:
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs. 4739-4745 - Jakub Michaliszyn, Piotr Witkowski:
Decidability of Model Checking Multi-Agent Systems with Regular Expressions against Epistemic HS Specifications. 4746-4752 - NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai:
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. 4753-4759 - Sofia Reis, Rui Abreu, Marcelo d'Amorim:
Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault Localization. 4760-4766 - Yufeng Shi, Xinge You, Feng Zheng, Shuo Wang, Qinmu Peng:
Equally-Guided Discriminative Hashing for Cross-modal Retrieval. 4767-4773 - Tamir Tassa, Tal Grinshpoun, Avishay Yanai:
A Privacy Preserving Collusion Secure DCOP Algorithm. 4774-4780 - Deli Wang, Ting Zhao, Nenggan Zheng, Zhefeng Gong:
Two-Stage Generative Models of Simulating Training Data at The Voxel Level for Large-Scale Microscopy Bioimage Segmentation. 4781-4787 - Di Wang, Jinhui Xu:
Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation. 4788-4794 - Di Wang, Jinhui Xu:
Principal Component Analysis in the Local Differential Privacy Model. 4795-4801 - Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Network. 4802-4808 - Jun Wang, Qiang Tang, Afonso Arriaga, Peter Y. A. Ryan:
Novel Collaborative Filtering Recommender Friendly to Privacy Protection. 4809-4815 - Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu:
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense. 4816-4823 - Qi Xia, Zeyi Tao, Zijiang Hao, Qun Li:
FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks. 4824-4830 - Peichen Xie, Bingzhe Wu, Guangyu Sun:
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. 4831-4837 - Chengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams. 4838-4845 - Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang:
Temporal Pyramid Pooling Convolutional Neural Network for Cover Song Identification. 4846-4852 - Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren:
Data Poisoning Attack against Knowledge Graph Embedding. 4853-4859 - Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang:
On Privacy Protection of Latent Dirichlet Allocation Model Training. 4860-4866 - Zhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang, Chen Chen:
K-Core Maximization: An Edge Addition Approach. 4867-4873 - Weijie Zhu, Mengqi Zhang, Chen Chen, Xiaoyang Wang, Fan Zhang, Xuemin Lin:
Pivotal Relationship Identification: The K-Truss Minimization Problem. 4874-4880
Natural Language Processing
- Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda:
Early Discovery of Emerging Entities in Microblogs. 4882-4889 - Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti:
Neural Program Induction for KBQA Without Gold Programs or Query Annotations. 4890-4896 - Tian Bai, Brian L. Egleston, Richard Bleicher, Slobodan Vucetic:
Medical Concept Representation Learning from Multi-source Data. 4897-4903 - Yitao Cai, Xiaojun Wan:
Multi-Domain Sentiment Classification Based on Domain-Aware Embedding and Attention. 4904-4910 - José Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert:
A Latent Variable Model for Learning Distributional Relation Vectors. 4911-4917 - Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu:
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection. 4918-4924 - Huimin Chen, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Zhipeng Guo:
Sentiment-Controllable Chinese Poetry Generation. 4925-4931 - Shizhe Chen, Qin Jin, Jianlong Fu:
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots. 4932-4938 - Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan:
Learning towards Abstractive Timeline Summarization. 4939-4945 - Zeyu Dai, Hongliang Fei, Ping Li:
Coreference Aware Representation Learning for Neural Named Entity Recognition. 4946-4953 - Yue Deng, Yilin Shen, Hongxia Jin:
Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction. 4954-4960 - Cheng Fu, Xianpei Han, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong:
End-to-End Multi-Perspective Matching for Entity Resolution. 4961-4967 - Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King:
Difficulty Controllable Generation of Reading Comprehension Questions. 4968-4974 - DongLai Ge, Junhui Li, Muhua Zhu, Shoushan Li:
Modeling Source Syntax and Semantics for Neural AMR Parsing. 4975-4981 - Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang:
CNN-Based Chinese NER with Lexicon Rethinking. 4982-4988 - Dan Guo, Hui Wang, Meng Wang:
Dual Visual Attention Network for Visual Dialog. 4989-4995 - Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton:
AmazonQA: A Review-Based Question Answering Task. 4996-5002 - Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz:
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. 5003-5009 - Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan:
GSN: A Graph-Structured Network for Multi-Party Dialogues. 5010-5016 - Ting Huang, Gehui Shen, Zhi-Hong Deng:
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization. 5017-5023 - Haiyun Jiang, Li Cui, Zhe Xu, Deqing Yang, Jindong Chen, Chenguang Li, Jingping Liu, Jiaqing Liang, Chao Wang, Yanghua Xiao, Wei Wang:
Relation Extraction Using Supervision from Topic Knowledge of Relation Labels. 5024-5030 - Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira:
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. 5031-5038 - Fang Kong, Jian Fu:
Incorporating Structural Information for Better Coreference Resolution. 5039-5045 - Yunshi Lan, Shuohang Wang, Jing Jiang:
Knowledge Base Question Answering with Topic Units. 5046-5052 - Jing Li, Deheng Ye, Shuo Shang:
Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks. 5053-5059 - Runnan Li, Zhiyong Wu, Jia Jia, Yaohua Bu, Sheng Zhao, Helen Meng:
Towards Discriminative Representation Learning for Speech Emotion Recognition. 5060-5066 - Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si:
Self-attentive Biaffine Dependency Parsing. 5067-5073 - Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng:
Reading selectively via Binary Input Gated Recurrent Unit. 5074-5080 - Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu:
Learning to Select Knowledge for Response Generation in Dialog Systems. 5081-5087 - Peiqin Lin, Meng Yang, Jianhuang Lai:
Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Classification. 5088-5094 - Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun:
Exploring and Distilling Cross-Modal Information for Image Captioning. 5095-5101 - Jie Liu, Na Li, Zhicheng He:
Network Embedding with Dual Generation Tasks. 5102-5108 - Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong:
Building Personalized Simulator for Interactive Search. 5109-5115 - Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. 5116-5122 - Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu:
Unsupervised Neural Aspect Extraction with Sememes. 5123-5129 - Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth:
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning. 5130-5138 - Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang:
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. 5139-5145 - Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang:
Learning Task-Specific Representation for Novel Words in Sequence Labeling. 5146-5152 - Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou:
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control. 5153-5159 - Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang:
Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis. 5160-5167 - Swarnadeep Saha, Malolan Chetlur, Tejas Indulal Dhamecha, K. Gayathri Wijayarathna, Red Mendoza, Paul Gagnon, Nabil Zary, Shantanu Godbole:
Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach. 5168-5174 - Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti:
A Deep Generative Model for Code Switched Text. 5175-5181 - Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan:
Knowledge Aware Semantic Concept Expansion for Image-Text Matching. 5182-5189 - Haoyu Song, Weinan Zhang, Yiming Cui, Dong Wang, Ting Liu:
Exploiting Persona Information for Diverse Generation of Conversational Responses. 5190-5196 - Kaisong Song, Wei Gao, Lujun Zhao, Jun Lin, Changlong Sun, Xiaozhong Liu:
Cold-Start Aware Deep Memory Network for Multi-Entity Aspect-Based Sentiment Analysis. 5197-5203 - Gray Stanton, Athirai Aravazhi Irissappane:
GANs for Semi-Supervised Opinion Spam Detection. 5204-5210 - Christoph Kilian Theil, Samuel Broscheit, Heiner Stuckenschmidt:
PRoFET: Predicting the Risk of Firms from Event Transcripts. 5211-5217 - Neil Veira, Brian Keng, Kanchana Padmanabhan, Andreas G. Veneris:
Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations. 5218-5225 - Hanzhang Wang, Hanli Wang, Kaisheng Xu:
Swell-and-Shrink: Decomposing Image Captioning by Transformation and Summarization. 5226-5232 - Tianming Wang, Xiaojun Wan:
T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion. 5233-5239 - Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu:
Robust Embedding with Multi-Level Structures for Link Prediction. 5240-5246 - Yang Wei, Honglei Guo, Jin-Mao Wei, Zhong Su:
Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map Generation. 5247-5254 - Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen:
Correct-and-Memorize: Learning to Translate from Interactive Revisions. 5255-5263 - Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai:
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. 5264-5270 - Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu:
Mask and Infill: Applying Masked Language Model for Sentiment Transfer. 5271-5277 - Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, Dongyan Zhao:
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs. 5278-5284 - Rui Xia, Mengran Zhang, Zixiang Ding:
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. 5285-5291 - Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu:
Sharing Attention Weights for Fast Transformer. 5292-5298 - Zhipeng Xie, Shichao Sun:
A Goal-Driven Tree-Structured Neural Model for Math Word Problems. 5299-5305 - Zhongbin Xie, Shuai Ma:
Dual-View Variational Autoencoders for Semi-Supervised Text Matching. 5306-5312 - Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang:
Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis. 5313-5319 - Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu:
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. 5320-5326 - Mengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang:
Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. 5327-5333 - Hiromu Yakura, Jun Sakuma:
Robust Audio Adversarial Example for a Physical Attack. 5334-5341 - Shiyang Yan, Jun Xu, Yuai Liu, Lin Xu:
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning. 5342-5348 - Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen:
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. 5349-5355 - Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun:
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling. 5356-5362 - Yao Yang, Haoran Chen, Junming Shao:
Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding. 5363-5369 - Yinfei Yang, Gustavo Hernández Ábrego, Steve Yuan, Mandy Guo, Qinlan Shen, Daniel Cer, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax. 5370-5378 - Di Yin, Shujian Huang, Xin-Yu Dai, Jiajun Chen:
Utilizing Non-Parallel Text for Style Transfer by Making Partial Comparisons. 5379-5386 - Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou, Jiebo Luo:
Graph-based Neural Sentence Ordering. 5387-5393 - Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, Xiaochao Fan:
Refining Word Representations by Manifold Learning. 5394-5400 - Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li:
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. 5401-5407 - Jianfei Yu, Jing Jiang:
Adapting BERT for Target-Oriented Multimodal Sentiment Classification. 5408-5414 - Dong Zhang, Liangqing Wu, Changlong Sun, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations. 5415-5421 - Junchi Zhang, Yanxia Qin, Yue Zhang, Mengchi Liu, Donghong Ji:
Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model. 5422-5428 - Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu:
Multi-view Knowledge Graph Embedding for Entity Alignment. 5429-5435 - Yazhou Zhang, Qiuchi Li, Dawei Song, Peng Zhang, Panpan Wang:
Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis. 5436-5442 - Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan:
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. 5443-5449 - Yi Zhao, Yanyan Shen, Junjie Yao:
Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections. 5450-5456 - Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu:
RLTM: An Efficient Neural IR Framework for Long Documents. 5457-5463 - Wanshan Zheng, Zibin Zheng, Hai Wan, Chuan Chen:
Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification. 5464-5470 - Long Zhou, Jiajun Zhang, Chengqing Zong, Heng Yu:
Sequence Generation: From Both Sides to the Middle. 5471-5477 - Tianyuan Zhou, João Sedoc, Jordan Rodu:
Getting in Shape: Word Embedding SubSpaces. 5478-5484 - Yan Zhou, Longtao Huang, Tao Guo, Jizhong Han, Songlin Hu:
A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification. 5485-5491
Planning and Scheduling
- Spyros Angelopoulos, Shendan Jin:
Earliest-Completion Scheduling of Contract Algorithms with End Guarantees. 5493-5499 - Gregor Behnke, Daniel Höller, Susanne Biundo:
Finding Optimal Solutions in HTN Planning - A SAT-based Approach. 5500-5508 - Nikhil Bhargava, Brian C. Williams:
Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds. 5509-5515 - Ronen I. Brafman, Giuseppe De Giacomo:
Regular Decision Processes: A Model for Non-Markovian Domains. 5516-5522 - Alberto Camacho, Sheila A. McIlraith:
Strong Fully Observable Non-Deterministic Planning with LTL and LTLf Goals. 5523-5531 - Steven Carr, Nils Jansen, Ralf Wimmer, Alexandru Constantin Serban, Bernd Becker, Ufuk Topcu:
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks. 5532-5539 - Alberto Castellini, Georgios Chalkiadakis, Alessandro Farinelli:
Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning. 5540-5546 - Ramon Fraga Pereira, Mor Vered, Felipe Meneguzzi, Miquel Ramírez:
Online Probabilistic Goal Recognition over Nominal Models. 5547-5553 - Guillem Francès, Augusto B. Corrêa, Cedric Geissmann, Florian Pommerening:
Generalized Potential Heuristics for Classical Planning. 5554-5561 - Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien:
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. 5562-5568 - Enrico H. Gerding, Alvaro Perez-Diaz, Haris Aziz, Serge Gaspers, Antonia Marcu, Nicholas Mattei, Toby Walsh:
Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging. 5569-5575 - Andreas Herzig, Frédéric Maris, Julien Vianey:
Dynamic logic of parallel propositional assignments and its applications to planning. 5576-5582 - Majid Khonji, Ashkan Jasour, Brian C. Williams:
Approximability of Constant-horizon Constrained POMDP. 5583-5590 - Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah:
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. 5591-5598 - Lucas Martinelli Tabajara, Moshe Y. Vardi:
Partitioning Techniques in LTLf Synthesis. 5599-5606 - Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien:
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. 5607-5613 - Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao:
A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. 5614-5620 - Jendrik Seipp:
Pattern Selection for Optimal Classical Planning with Saturated Cost Partitioning. 5621-5627 - Richard Stec, Antonín Novák, Premysl Sucha, Zdenek Hanzálek:
Scheduling Jobs with Stochastic Processing Time on Parallel Identical Machines. 5628-5634 - Xing Tan, Jimmy Xiangji Huang:
On Computational Complexity of Pickup-and-Delivery Problems with Precedence Constraints or Time Windows. 5635-5643 - Álvaro Torralba, Silvan Sievers:
Merge-and-Shrink Task Reformulation for Classical Planning. 5644-5652 - Alvaro Velasquez:
Steady-State Policy Synthesis for Verifiable Control. 5653-5661
Robotics
- Zhenshan Bing, Christian Lemke, Zhuangyi Jiang, Kai Huang, Alois C. Knoll:
Energy-Efficient Slithering Gait Exploration for a Snake-Like Robot Based on Reinforcement Learning. 5663-5669 - Siddharth Gupta, Guy Sa'ar, Meirav Zehavi:
The Parameterized Complexity of Motion Planning for Snake-Like Robots. 5670-5676 - Madhu Babu Vankadari, Swagat Kumar, Anima Majumder, Kaushik Das:
Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs. 5677-5684 - Haofei Xu, Jianmin Zheng, Jianfei Cai, Juyong Zhang:
Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos. 5685-5691
Uncertainty in AI
- Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti, Andrea Patane, Matthew Wicker:
Statistical Guarantees for the Robustness of Bayesian Neural Networks. 5693-5700 - Yuqiao Chen, Nicholas Ruozzi, Sriraam Natarajan:
Lifted Message Passing for Hybrid Probabilistic Inference. 5701-5707 - Yi Chou, Sriram Sankaranarayanan:
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis. 5708-5714 - Abhimanyu Dubey, Alex Pentland:
Thompson Sampling on Symmetric Alpha-Stable Bandits. 5715-5721 - Tal Friedman, Guy Van den Broeck:
On Constrained Open-World Probabilistic Databases. 5722-5729 - Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang:
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph. 5730-5736 - Masakazu Ishihata, Takanori Maehara:
Exact Bernoulli Scan Statistics using Binary Decision Diagrams. 5737-5743 - Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha:
Hyper-parameter Tuning under a Budget Constraint. 5744-5750 - Tahrima Rahman, Shasha Jin, Vibhav Gogate:
Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models. 5751-5757 - Tjitze Rienstra:
Ranked Programming. 5758-5764 - Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang:
ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. 5765-5771 - Xiaofei Xie, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, Xiaohong Li:
DiffChaser: Detecting Disagreements for Deep Neural Networks. 5772-5778
AI for Improving Human Well-being
- Alireza Abedin, Seyed Hamid Rezatofighi, Qinfeng Shi, Damith Chinthana Ranasinghe:
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. 5780-5786 - Andrea Aler Tubella, Andreas Theodorou, Frank Dignum, Virginia Dignum:
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour. 5787-5793 - Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau:
Decision Making for Improving Maritime Traffic Safety Using Constraint Programming. 5794-5800 - Serena Booth, Christian Muise, Julie Shah:
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively. 5801-5807 - Katia Bourahmoune, Toshiyuki Amagasa:
AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion. 5808-5814 - Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau:
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. 5815-5821 - Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang:
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation. 5822-5828 - Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu:
PI-Bully: Personalized Cyberbullying Detection with Peer Influence. 5829-5835 - Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
The Price of Local Fairness in Multistage Selection. 5836-5842 - Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua:
Enhancing Stock Movement Prediction with Adversarial Training. 5843-5849 - Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause:
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning. 5850-5856 - Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun:
DDL: Deep Dictionary Learning for Predictive Phenotyping. 5857-5863 - Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet:
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. 5864-5870 - Xavier Gitiaux, Huzefa Rangwala:
mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers. 5871-5879 - Negar Hassanpour, Russell Greiner:
CounterFactual Regression with Importance Sampling Weights. 5880-5887 - Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. 5888-5894 - Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. 5895-5901 - Dimitri Justeau-Allaire, Philippe Vismara, Philippe Birnbaum, Xavier Lorca:
Systematic Conservation Planning for Sustainable Land-use Policies: A Constrained Partitioning Approach to Reserve Selection and Design.. 5902-5908 - Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez:
Truly Batch Apprenticeship Learning with Deep Successor Features. 5909-5915 - Jinning Li, Yexiang Xue:
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks. 5916-5922 - Muhammad A. Masood, Finale Doshi-Velez:
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies. 5923-5929 - Donghyeon Park, Keonwoo Kim, Yonggyu Park, Jungwoon Shin, Jaewoo Kang:
KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network. 5930-5936 - Zhi Qiao, Xian Wu, Shen Ge, Wei Fan:
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction. 5937-5943 - Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska:
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance. 5944-5952 - Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. 5953-5959 - Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich:
Three-quarter Sibling Regression for Denoising Observational Data. 5960-5966 - Kazuhiko Shinoda, Masahiko Yoshii, Hayato Yamaguchi, Hirotaka Kaji:
Daytime Sleepiness Level Prediction Using Respiratory Information. 5967-5974 - Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner:
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. 5975-5981 - Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl:
Controllable Neural Story Plot Generation via Reward Shaping. 5982-5988 - Feilong Tang:
Bidirectional Active Learning with Gold-Instance-Based Human Training. 5989-5996 - Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick:
Group-Fairness in Influence Maximization. 5997-6005 - Akifumi Wachi:
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving. 6006-6012 - Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. 6013-6019 - Xinrun Wang, Bo An, Hau Chan:
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity. 6020-6027 - Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng:
Automatic Grassland Degradation Estimation Using Deep Learning. 6028-6034 - Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich:
Balanced Ranking with Diversity Constraints. 6035-6042 - Mingyang Zhang, Tong Li, Hongzhi Shi, Yong Li, Pan Hui:
A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data. 6043-6049 - Yue Zhang, Arti Ramesh:
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields. 6050-6056 - Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie:
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. 6057-6063
Understanding Intelligence and Human-level AI in the New Machine Learning era
- Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith:
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning. 6065-6073 - Andrew Cropper:
Playgol: Learning Programs Through Play. 6074-6080 - Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel:
Learning Relational Representations with Auto-encoding Logic Programs. 6081-6087 - Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert:
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning. 6088-6094 - James R. Kirk, John E. Laird:
Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer. 6095-6102 - Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf:
EL Embeddings: Geometric Construction of Models for the Description Logic EL++. 6103-6109 - Yusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, Yi Zhou:
How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset. 6110-6116 - Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik:
Synthesizing Datalog Programs using Numerical Relaxation. 6117-6124
Best Sister Conferences
- Christer Bäckström, Peter Jonsson, Sebastian Ordyniak:
A Refined Understanding of Cost-optimal Planning with Polytree Causal Graphs. 6126-6130 - Stefan Borgwardt, Walter Forkel:
Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom Ontologies. 6131-6135 - Alessandro Checco, Jo Bates, Gianluca Demartini:
Quality Control Attack Schemes in Crowdsourcing. 6136-6140 - Marco Console, Paolo Guagliardo, Leonid Libkin:
Do We Need Many-valued Logics for Incomplete Information?. 6141-6145 - Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle:
Addressing Age-Related Bias in Sentiment Analysis. 6146-6150 - Tobias Friedrich, Ralf Rothenberger:
Sharpness of the Satisfiability Threshold for Non-Uniform Random k-SAT. 6151-6155 - Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Verify and Train Deep Networks. 6156-6160 - Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa:
The Provable Virtue of Laziness in Motion Planning. 6161-6165 - Emmanuel Hebrard, George Katsirelos:
Clause Learning and New Bounds for Graph Coloring. 6166-6170 - Daniel Höller, Pascal Bercher, Gregor Behnke, Susanne Biundo:
On Guiding Search in HTN Planning with Classical Planning Heuristics. 6171-6175 - Mohammad Tanvir Irfan, Tucker Gordon:
The Power of Context in Networks: Ideal Point Models with Social Interactions. 6176-6180 - Amin Jaber, Jiji Zhang, Elias Bareinboim:
On Causal Identification under Markov Equivalence. 6181-6185 - Tobias Kaminski, Thomas Eiter, Katsumi Inoue:
Meta-Interpretive Learning Using HEX-Programs. 6186-6190 - Gil Keren, Sivan Sabato, Björn W. Schuller:
A Walkthrough for the Principle of Logit Separation. 6191-6195 - Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt:
Delayed Impact of Fair Machine Learning. 6196-6200 - Benedikt Loepp, Tim Donkers, Timm Kleemann, Jürgen Ziegler:
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems. 6201-6205 - Panagiotis Mandros, Mario Boley, Jilles Vreeken:
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. 6206-6210 - Kuldeep S. Meel, Aditya A. Shrotri, Moshe Y. Vardi:
Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting (Extended Abstract). 6211-6215 - Anthony Palmieri, Arnaud Lallouet, Luc Pons:
Constraint Games for Stable and Optimal Allocation of Demands in SDN. 6216-6220 - Eshed Shaham, Ariel Felner, Nathan R. Sturtevant, Jeffrey S. Rosenschein:
Optimally Efficient Bidirectional Search. 6221-6225 - Harold Soh, Pan Shu, Min Chen, David Hsu:
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. 6226-6230 - Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. 6231-6235 - Flavian Vasile, Stephen Bonner:
Causal Embeddings for Recommendation: An Extended Abstract. 6236-6240 - Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. 6241-6245 - Daniel Zügner, Amir Akbarnejad, Stephan Günnemann:
Adversarial Attacks on Neural Networks for Graph Data. 6246-6250
Survey track
- Somak Aditya, Yezhou Yang, Chitta Baral:
Integrating Knowledge and Reasoning in Image Understanding. 6252-6259 - Leila Amgoud:
A Replication Study of Semantics in Argumentation. 6260-6266 - Pascal Bercher, Ron Alford, Daniel Höller:
A Survey on Hierarchical Planning - One Abstract Idea, Many Concrete Realizations. 6267-6275 - Ruth M. J. Byrne:
Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning. 6276-6282 - Shaoxiang Chen, Ting Yao, Yu-Gang Jiang:
Deep Learning for Video Captioning: A Review. 6283-6290 - Aryan Deshwal, Janardhan Rao Doppa, Dan Roth:
Learning and Inference for Structured Prediction: A Unifying Perspective. 6291-6299 - Zixuan Ke, Vincent Ng:
Automated Essay Scoring: A Survey of the State of the Art. 6300-6308 - Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel:
A Survey of Reinforcement Learning Informed by Natural Language. 6309-6317 - Shimei Pan, Tao Ding:
Social Media-based User Embedding: A Literature Review. 6318-6324 - Faraz Torabi, Garrett Warnell, Peter Stone:
Recent Advances in Imitation Learning from Observation. 6325-6331 - Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun:
Sequential Recommender Systems: Challenges, Progress and Prospects. 6332-6338 - Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone:
Leveraging Human Guidance for Deep Reinforcement Learning Tasks. 6339-6346
Journal track
- Pierre Baldi, Peter J. Sadowski, Zhiqin Lu:
Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract). 6348-6352 - Nikhil Bhargava, Brian C. Williams:
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty (Extended Abstract). 6353-6357 - Emmanuelle-Anna Dietz Saldanha, Steffen Hölldobler, Carroline Dewi Puspa Kencana Ramli, Luis Palacios Medinacelli:
A Core Method for the Weak Completion Semantics with Skeptical Abduction (Extended Abstract). 6358-6361 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract). 6362-6366 - Marco Garapa, Eduardo Fermé, Maurício D. Luís Reis:
Shielded Base Contraction (Extended Abstract). 6367-6371 - Bernhard Nebel, Thomas Bolander, Thorsten Engesser, Robert Mattmüller:
Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract). 6372-6376 - Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. 6377-6381 - Claudia Schulz, Francesca Toni:
On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract). 6382-6386
Early Career
- Joydeep Biswas:
The Quest For "Always-On" Autonomous Mobile Robots. 6388-6392 - Fei Fang:
Integrating Learning with Game Theory for Societal Challenges. 6393-6397 - Akshat Kumar:
Multiagent Decision Making and Learning in Urban Environments. 6398-6402 - Gerardo I. Simari:
From Data to Knowledge Engineering for Cybersecurity. 6403-6407 - Shirin Sohrabi:
AI Planning for Enterprise: Putting Theory Into Practice. 6408-6410 - Roni Stern:
Domain-Dependent and Domain-Independent Problem Solving Techniques. 6411-6415 - Byron C. Wallace:
What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature. 6416-6420
Doctoral Consortium
- Sultan Ahmed:
Conditional Preference Network with Constraints and Uncertainty. 6422-6423 - Mahdi Bidar, Malek Mouhoub:
Constraint Solving and Optimization Using Evolutionary Techniques. 6424-6425 - Elizabeth Bondi:
Visionary Security: Using Uncertain Real-Time Information in Signaling Games. 6426-6427 - María del Carmen Fernández Martínez, Alberto Fernández:
AI in Recruiting. Multi-agent Systems Architecture for Ethical and Legal Auditing. 6428-6429 - Jun Gao, Jianliang Gao:
A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs. 6430-6431 - Mengyu Gao, Yuxin Ye, Dantong Ouyang, Bin Wang:
Finding Justifications by Approximating Core for Large-scale Ontologies. 6432-6433 - Shivam Goel:
Teaching Robots to Interact with Humans in a Smart Environment. 6434-6435 - Tejas Gokhale:
Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions. 6436-6437 - John Harwell:
A Unified Mathematical Approach for Foraging and Construction Systems in a 1, 000, 000 Robot Swarm. 6438-6439 - Céline Hocquette:
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?. 6440-6441 - Ling Huang:
Unsupervised Multi-view Learning. 6442-6443 - Min Hun Lee:
Intelligent Agent for Assessing and Guiding Rehabilitation Exercises. 6444-6445 - Ziming Li:
Optimizing Interactive Systems with Data-Driven Objectives. 6446-6447 - Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi:
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. 6448-6449 - Bonaventure C. Molokwu:
Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network. 6450-6451 - Seán Quinn, Alessandra Mileo:
Towards Architecture-Agnostic Neural Transfer: a Knowledge-Enhanced Approach. 6452-6453 - Shailaja Sampat:
Technical, Hard and Explainable Question Answering (THE-QA). 6454-6455 - Lindsay Sanneman:
Preference Elicitation and Explanation in Iterative Planning. 6456-6457 - Anil Sharma:
Intelligent Querying in Camera Networks for Efficient Target Tracking. 6458-6459 - Thiago D. Simão:
Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments. 6460-6461 - Gustav Sourek:
Deep Learning with Relational Logic Representations. 6462-6463 - Zhaohong Sun:
Matching with Constraints. 6464-6465 - Martin Svatos:
Cautious Rule-Based Collective Inference. 6466-6467 - Ilse Verdiesen:
The Design of Human Oversight in Autonomous Weapon Systems. 6468-6469 - Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
A Compliance Checking Framework for DNN Models. 6470-6471 - Kai Wang:
Adversarial Machine Learning with Double Oracle. 6472-6473 - Bryan Wilder:
AI at the Margins: Data, Decisions, and Inclusive Social Impact. 6474-6475 - Chayut Wiwatcharakoses, Daniel Berrar:
Self-Organizing Incremental Neural Networks for Continual Learning. 6476-6477 - Lianlong Wu:
Evolutionary Learning of Existential Rules. 6478-6479 - Fan Xiong, Jianliang Gao:
Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks. 6480-6481 - Wanyi Zhang:
Personal Context Recognition via Skeptical Learning. 6482-6483
Demos
- Manuel Arias, Jorge Pérez-Martín, Manuel Luque, Francisco Javier Díez:
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models. 6485-6487 - Roy Assaf, Anika Schumann:
Explainable Deep Neural Networks for Multivariate Time Series Predictions. 6488-6490 - Roman Barták, Ivan Krasicenko, Jirí Svancara:
Multi-Agent Path Finding on Ozobots. 6491-6493 - Tristan Charrier, Sébastien Gamblin, Alexandre Niveau, François Schwarzentruber:
Hintikka's World: Scalable Higher-order Knowledge. 6494-6496 - Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li:
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. 6497-6499 - Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
Crowd View: Converting Investors' Opinions into Indicators. 6500-6502 - Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian:
VEST: A System for Vulnerability Exploit Scoring & Timing. 6503-6505 - Yu-Hua Chen, Bryan Wang, Yi-Hsuan Yang:
Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation. 6506-6508 - Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu:
InterSpot: Interactive Spammer Detection in Social Media. 6509-6511 - Rahul R. Divekar, Xiangyang Mou, Lisha Chen, Maíra Gatti de Bayser, Melina Alberio Guerra, Hui Su:
Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue. 6512-6514 - Yingwei Fu, Kele Xu, Haibo Mi, Huaimin Wang, Dezhi Wang, Boqing Zhu:
A Mobile Application for Sound Event Detection. 6515-6517 - Jonathan Grizou:
The Open Vault Challenge - Learning How to Build Calibration-Free Interactive Systems by Cracking the Code of a Vault. 6518-6520 - Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen:
Agent-based Decision Support for Pain Management in Primary Care Settings. 6521-6523 - Shohreh Haddadan, Elena Cabrio, Serena Villata:
DISPUTool - A tool for the Argumentative Analysis of Political Debates. 6524-6526 - Mohamed Hanoosh, Abhishek Laddha, Debdoot Mukherjee:
Contextual Typeahead Sticker Suggestions on Hike Messenger. 6527-6529 - Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt:
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. 6530-6532 - Divesh Lala, Graham Wilcock, Kristiina Jokinen, Tatsuya Kawahara:
ERICA and WikiTalk. 6533-6535 - Kehua Lei, Tianyi Ma, Jia Jia, Cunjun Zhang, Zhihan Yang:
Design and Implementation of a Disambiguity Framework for Smart Voice Controlled Devices. 6536-6538 - Jing Li:
Neural Discourse Segmentation. 6539-6541 - Peiyao Li, Weiliang Zhao, Jian Yang, Jia Wu:
CoTrRank: Trust Evaluation of Users and Tweets. 6542-6544 - Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He:
Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination. 6545-6547 - Chong Long, Zining Liu, Xiaolu Lu, Zehong Hu, Yafang Wang:
CRSRL: Customer Routing System Using Reinforcement Learning. 6548-6550 - Tobias Mayer, Elena Cabrio, Serena Villata:
ACTA A Tool for Argumentative Clinical Trial Analysis. 6551-6553 - Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun:
A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model. 6554-6556 - Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrés Abeliuk, Mehrnoosh Mirtaheri, K. S. M. Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas:
SAGE: A Hybrid Geopolitical Event Forecasting System. 6557-6559 - Matthew Peveler, Jeffrey O. Kephart, Hui Su:
Reagent: Converting Ordinary Webpages into Interactive Software Agents. 6560-6562 - Tiago Pinto, Zita A. Vale:
AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations. 6563-6565 - Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li:
Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning. 6566-6568 - Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang:
GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos. 6569-6571 - Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang:
Multi-Agent Visualization for Explaining Federated Learning. 6572-6574 - Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng:
Fair and Explainable Dynamic Engagement of Crowd Workers. 6575-6577 - Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao:
An Online Intelligent Visual Interaction System. 6578-6580 - Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun:
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. 6581-6583 - Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong:
ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups. 6584-6586 - Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao:
Intelligent Decision Support for Improving Power Management. 6587-6589
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