Table of Contents

• Algorithms for Trip-Vehicle Assignment in Ride-SharingXiaohui Bei, Shengyu Zhang. 3-9 [doi]
• EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial ExamplesPin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh. 10-17 [doi]
• Learning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar PatientsJonathan Chung, Moshe Eizenman, Uros Rakita, Roger McIntyre, Peter Giacobbe. 18-25 [doi]
• Comparing Population Means Under Local Differential Privacy: With Significance and PowerBolin Ding, Harsha Nori, Paul Li, Joshua Allen. 26-33 [doi]
• MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and AccompanimentHao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang. 34-41 [doi]
• Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and AuthenticationAhmed Elgammal, Yan Kang, Milko Den Leeuw. 42-50 [doi]
• Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair LearningNina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller. 51-60 [doi]
• Distributed Composite QuantizationWeixiang Hong, Jingjing Meng, Junsong Yuan. 61-68 [doi]
• Tensorized Projection for High-Dimensional Binary EmbeddingWeixiang Hong, Jingjing Meng, Junsong Yuan. 69-76 [doi]
• Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon DivergenceXin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao. 77-84 [doi]
• Norm Conflict Resolution in Stochastic DomainsDaniel Kasenberg, Matthias Scheutz. 85-92 [doi]
• Deep Representation-Decoupling Neural Networks for Monaural Music Mixture SeparationZhuo Li, Hongwei Wang, Miao Zhao, Wenjie Li, Minyi Guo. 93-100 [doi]
• Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis ApproachBin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng. 101-108 [doi]
• Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint PredictionLuchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang. 109-116 [doi]
• Multi-View Multi-Graph Embedding for Brain Network Clustering AnalysisYe Liu, Lifang He 0001, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow. 117-124 [doi]
• Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed DataJian Lou, Yiu-ming Cheung. 125-133 [doi]
• Learning the Probability of Activation in the Presence of Latent SpreadersMaggie Makar, John V. Guttag, Jenna Wiens. 134-141 [doi]
• Generating an Event Timeline About Daily Activities From a Semantic Concept StreamTaiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe. 142-150 [doi]
• On Organizing Online Soirees with Live Multi-StreamingChih-Ya Shen, C. P. Kankeu Fotsing, De-Nian Yang, Yi-Shin Chen, Wang-Chien Lee. 151-159 [doi]
• An AI Planning Solution to Scenario Generation for Enterprise Risk ManagementShirin Sohrabi, Anton V. Riabov, Michael Katz 0001, Octavian Udrea. 160-167 [doi]
• Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour FragmentsYouyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi. 168-175 [doi]
• When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence MaximizationShaoJie Tang. 176-183 [doi]
• Synthesis of Programs from Multimodal DatasetsShantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal. 184-191 [doi]
• CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident RecognitionJingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie 0001, Zhang Xiong. 192-199 [doi]
• Geographic Differential Privacy for Mobile Crowd Coverage MaximizationLeye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma. 200-207 [doi]
• Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International WatersXinrun Wang, Bo An, Martin Strobel, Fookwai Kong. 208-215 [doi]
• Video Summarization via Semantic Attended NetworksHuawei Wei, Bingbing Ni, Yichao Yan, Huanyu Yu, Xiaokang Yang, Chen Yao. 216-223 [doi]
• TIMERS: Error-Bounded SVD Restart on Dynamic NetworksZiwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu 0001. 224-231 [doi]
• Ranking Users in Social Networks With Higher-Order StructuresHuan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao. 232-240 [doi]
• Mitigating Overexposure in Viral MarketingRediet Abebe, Lada A. Adamic, Jon M. Kleinberg. 241-248 [doi]
• Neural Link Prediction over Aligned NetworksXuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu. 249-256 [doi]
• Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix FactorizationChaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li. 257-264 [doi]
• CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence SimilarityQin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He. 265-273 [doi]
• Dual Deep Neural Networks Cross-Modal HashingZhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu. 274-281 [doi]
• Representation Learning for Scale-Free NetworksRui Feng, Yang Yang 0009, Wenjie Hu, Fei Wu 0001, Yueting Zhang. 282-289 [doi]
• VSE-ens: Visual-Semantic Embeddings with Efficient Negative SamplingGuibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang. 290-297 [doi]
• Partial Multi-View Outlier Detection Based on Collective LearningJun Guo, Wenwu Zhu 0001. 298-305 [doi]
• A Network-Specific Markov Random Field Approach to Community DetectionDongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang. 306-313 [doi]
• Robust Detection of Link Communities in Large Social Networks by Exploiting Link SemanticsDi Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang. 314-321 [doi]
• On Validation and Predictability of Digital Badges' Influence on Individual UsersTomasz Kusmierczyk, Kjetil Nørvåg. 322-329 [doi]
• FILE: A Novel Framework for Predicting Social Status in Signed NetworksXiaoming Li, Hui Fang, Jie Zhang. 330-337 [doi]
• Community Detection in Attributed Graphs: An Embedding ApproachYe Li, Chaofeng Sha, Xin Huang, Yanchun Zhang. 338-345 [doi]
• Social Recommendation with an Essential Preference SpaceChun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo. 346-353 [doi]
• Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional NetworksYang Liu, Yi-fang Brook Wu. 354-361 [doi]
• Cross-Lingual Entity Linking for Web TablesXusheng Luo, Kangqi Luo, Xianyang Chen, Kenny Q. Zhu. 362-369 [doi]
• DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic NetworksJianxin Ma, Peng Cui, Wenwu Zhu 0001. 370-377 [doi]
• Listening to the World Improves Speech Command RecognitionBrian McMahan, Delip Rao. 378-385 [doi]
• Location-Sensitive User Profiling Using Crowdsourced LabelsWei Niu, James Caverlee, Haokai Lu. 386-393 [doi]
• Binary Generative Adversarial Networks for Image RetrievalJingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen. 394-401 [doi]
• Deep Region Hashing for Generic Instance Search from ImagesJingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen. 402-409 [doi]
• Improved English to Russian Translation by Neural Suffix PredictionKai Song, Yue Zhang, Min Zhang, Weihua Luo. 410-417 [doi]
• Towards Efficient Detection of Overlapping Communities in Massive NetworksBing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng. 418-425 [doi]
• Structural Deep Embedding for Hyper-NetworksKe Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu 0001. 426-433 [doi]
• Confidence-Aware Matrix Factorization for Recommender SystemsChao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang. 434-442 [doi]
• Deep Asymmetric Transfer Network for Unbalanced Domain AdaptationDaixin Wang, Peng Cui, Wenwu Zhu 0001. 443-450 [doi]
• A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log DataJingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan. 451-458 [doi]
• Personalized Time-Aware Tag RecommendationKeqiang Wang, Yuanyuan Jin, Haofen Wang, Hongwei Peng, Xiaoling Wang. 459-466 [doi]
• Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender SystemsYu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan. 467-474 [doi]
• RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network EmbeddingZheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang. 475-482 [doi]
• Contrastive Training for Models of Information CascadesShaobin Xu, David A. Smith. 483-490 [doi]
• Retrieving and Classifying Affective Images via Deep Metric LearningJufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang 0001. 491-498 [doi]
• Multi-Facet Network Embedding: Beyond the General Solution of Detection and RepresentationLiang Yang 0002, Yuanfang Guo, Xiaochun Cao. 499-506 [doi]
• Urban Dreams of Migrants: A Case Study of Migrant Integration in ShanghaiYang Yang, Chenhao Tan, Zongtao Liu, Fei Wu 0001, Yueting Zhuang. 507-514 [doi]
• From Common to Special: When Multi-Attribute Learning Meets Personalized OpinionsZhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang. 515-522 [doi]
• Discovering and Distinguishing Multiple Visual Senses for Polysemous WordsYazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang, Zhenmin Tang. 523-530 [doi]
• Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding ApproachChao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han 0001. 531-538 [doi]
• Unsupervised Generative Adversarial Cross-Modal HashingJian Zhang, Yuxin Peng, Mingkuan Yuan. 539-546 [doi]
• Exploring Implicit Feedback for Open Domain Conversation GenerationWeinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu. 547-554 [doi]
• Joint Training for Neural Machine Translation Models with Monolingual DataZhirui Zhang, Shujie Liu 0001, Mu Li, Ming Zhou, Enhong Chen. 555-562 [doi]
• Attention-via-Attention Neural Machine TranslationShenjian Zhao, Zhihua Zhang. 563-570 [doi]
• Dynamic Network Embedding by Modeling Triadic Closure ProcessLe-kui Zhou, Yang Yang, Xiang Ren, Fei Wu 0001, Yueting Zhuang. 571-578 [doi]
• Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network ApproachSuping Zhou, Jia Jia 0001, Qi Wang, Yufei Dong, Yufeng Yin, Kehua Lei. 579-587 [doi]
• Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity RulesAlireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine. 588-595 [doi]
• Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service RobotsS. Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim. 596-603 [doi]
• A Unified Model for Document-Based Question Answering Based on Human-Like Reading StrategyWeikang Li, Wei Li, Yunfang Wu. 604-611 [doi]
• Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form CompletionJoshua H. Palmer, Maithilee Kunda. 612-619 [doi]
• A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural NetworksTielin Zhang, Yi Zeng 0001, Dongcheng Zhao, Mengting Shi. 620-628 [doi]
• Explicit Reasoning over End-to-End Neural Architectures for Visual Question AnsweringSomak Aditya, Yezhou Yang, Chitta Baral. 629-637 [doi]
• Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative RepresentationsKezhen Chen, Kenneth D. Forbus. 638-645 [doi]
• Glass-Box Program Synthesis: A Machine Learning ApproachKonstantina Christakopoulou, Adam Tauman Kalai. 646-653 [doi]
• Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer QuestionsMaxwell Crouse, Clifton James McFate, Kenneth D. Forbus. 654-662 [doi]
• Style Transfer in Text: Exploration and EvaluationZhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan. 663-670 [doi]
• HAN: Hierarchical Association Network for Computing Semantic RelatednessXiaolong Gong, Hao Xu, Linpeng Huang. 671-678 [doi]
• Maximizing Activity in Ising Networks via the TAP ApproximationChristopher W. Lynn, Daniel D. Lee. 679-686 [doi]
• Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known ParadoxesWenjun Ma, Yuncheng Jiang, Weiru Liu, Xudong Luo, Kevin McAreavey. 687-695 [doi]
• Towards Building Large Scale Multimodal Domain-Aware Conversation SystemsAmrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan. 696-704 [doi]
• Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge GraphAmrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar. 705-713 [doi]
• The Structural Affinity Method for Solving the Raven's Progressive Matrices Test for IntelligenceSnejana Shegheva, Ashok Goel. 714-721 [doi]
• RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog SystemsChongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan. 722-729 [doi]
• Emotional Chatting Machine: Emotional Conversation Generation with Internal and External MemoryHao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu. 730-739 [doi]
• Transferring Decomposed Tensors for Scalable Energy Breakdown Across RegionsNipun Batra 0001, Yiling Jia, Hongning Wang, Kamin Whitehouse. 740-747 [doi]
• Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey NetworksJohan Bjorck, Yiwei Bai, XiaoJian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes. 748-756 [doi]
• DyETC: Dynamic Electronic Toll Collection for Traffic Congestion AlleviationHaipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh. 757-765 [doi]
• Cellular Network Traffic Scheduling With Deep Reinforcement LearningSandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti. 766-774 [doi]
• Dispatch Guided Allocation Optimization for Effective Emergency ResponseSupriyo Ghosh, Pradeep Varakantham. 775-783 [doi]
• DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility PredictionRenhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki. 784-791 [doi]
• Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy DisaggregationHenning Lange, Mario Berges. 792-799 [doi]
• Group Sparse Bayesian Learning for Active Surveillance on Epidemic DynamicsHongbin Pei, Bo Yang, Jiming Liu 0001, Lei Dong. 800-807 [doi]
• Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit FeedbackEugene Seo, Rebecca A. Hutchinson. 808-815 [doi]
• Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator DesignZhourui Song, Zhenyu Liu 0001, Dongsheng Wang. 816-823 [doi]
• Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-EncoderLuming Tang, Yexiang Xue, Di Chen, Carla P. Gomes. 824-832 [doi]
• Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading SystemsWanyuan Wang, Bo An, Yichuan Jiang. 833-840 [doi]
• Preventing Infectious Disease in Dynamic Populations Under UncertaintyBryan Wilder, Sze-Chuan Suen, Milind Tambe. 841-848 [doi]
• Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon BasinXiaoJian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt Garcia-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes. 849-859 [doi]
• Minesweeper with Limited MovesSerge Gaspers, Stefan Rümmele, Abdallah Saffidine, Kevin Tran. 860-867 [doi]
• Event Representations for Automated Story Generation with Deep Neural NetsLara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl. 868-875 [doi]
• Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time GamesRubens O. Moraes, Levi H. S. Lelis. 876-883 [doi]
• PVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of SmilesNicholas Sohre, Moses Adeagbo, Nathaniel Helwig, Sofia Lyford-Pike, Stephen J. Guy. 884-893 [doi]
• Utilitarians Without Utilities: Maximizing Social Welfare for Graph Problems Using Only Ordinal PreferencesBen Abramowitz, Elliot Anshelevich. 894-901 [doi]
• On the Complexity of Extended and Proportional Justified RepresentationHaris Aziz 0001, Edith Elkind, Shenwei Huang, Martin Lackner, Luis Sánchez Fernández, Piotr Skowron. 902-909 [doi]
• Rank Maximal Equal Contribution: A Probabilistic Social Choice FunctionHaris Aziz 0001, Pang Luo, Christine Rizkallah. 910-916 [doi]
• Groupwise Maximin Fair Allocation of Indivisible GoodsSiddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari. 917-924 [doi]
• Truthful and Near-Optimal Mechanisms for Welfare Maximization in Multi-Winner ElectionsUmang Bhaskar, Varsha Dani, Abheek Ghosh. 925-932 [doi]
• Multiwinner Elections With Diversity ConstraintsRobert Bredereck, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, Piotr Skowron. 933-940 [doi]
• A Bayesian Clearing Mechanism for Combinatorial AuctionsGianluca Brero, Sébastien Lahaie. 941-948 [doi]
• AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information GamesNeil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling. 949-956 [doi]
• Reinforcement Mechanism Design for Fraudulent Behaviour in e-CommerceQingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, YiWei Zhang. 957-964 [doi]
• Computational Results for Extensive-Form Adversarial Team GamesAndrea Celli, Nicola Gatti 0001. 965-972 [doi]
• On the Distortion of Voting With Multiple Representative CandidatesYu Cheng 0002, Shaddin Dughmi, David Kempe 0001. 973-980 [doi]
• Disarmament Games With ResourceYuan Deng, Vincent Conitzer. 981-988 [doi]
• Computing the Strategy to Commit to in Polymatrix GamesGiuseppe De Nittis, Alberto Marchesi, Nicola Gatti 0001. 989-996 [doi]
• Resource Allocation Polytope Games: Uniqueness of Equilibrium, Price of Stability, and Price of AnarchySwapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman. 997-1006 [doi]
• Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable ResourcesJohn P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu. 1007-1014 [doi]
• Tool AuctionsJanosch Döcker, Britta Dorn, Ulle Endriss, Ronald de Haan, Sebastian Schneckenburger. 1015-1022 [doi]
• Effective Heuristics for Committee Scoring RulesPiotr Faliszewski, Martin Lackner, Dominik Peters, Nimrod Talmon. 1023-1030 [doi]
• On Social Envy-Freeness in Multi-Unit MarketsMichele Flammini, Manuel Mauro, Matteo Tonelli. 1031-1038 [doi]
• Facility Location Games With Fractional PreferencesChi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, Makoto Yokoo. 1039-1046 [doi]
• The Complexity of Bribery in Network-Based Rating SystemsUmberto Grandi, James Stewart, Paolo Turrini. 1047-1054 [doi]
• Weighted Voting Via No-Regret LearningNika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia. 1055-1062 [doi]
• Cooperative Games With Bounded Dependency DegreeAyumi Igarashi, Rani Izsak, Edith Elkind. 1063-1070 [doi]
• Committee Selection with Intraclass and Interclass SynergiesRani Izsak, Nimrod Talmon, Gerhard J. Woeginger. 1071-1078 [doi]
• On Recognising Nearly Single-Crossing PreferencesFlorian Jaeckle, Dominik Peters, Edith Elkind. 1079-1086 [doi]
• Ranking Wily People Who Rank Each OtherAnson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, Ariel D. Procaccia. 1087-1094 [doi]
• Liquid Democracy: An Algorithmic PerspectiveAnson Kahng, Simon Mackenzie, Ariel D. Procaccia. 1095-1102 [doi]
• Policy Learning for Continuous Space Security Games Using Neural NetworksNitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe. 1103-1112 [doi]
• Approximately Stable Matchings With Budget ConstraintsYasushi Kawase, Atsushi Iwasaki. 1113-1120 [doi]
• Approximating Bribery in Scoring RulesOrgad Keller, Avinatan Hassidim, Noam Hazon. 1121-1129 [doi]
• Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited LookaheadChristian Kroer, Gabriele Farina, Tuomas Sandholm. 1130-1137 [doi]
• The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible GoodsJing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh. 1138-1145 [doi]
• Incentivizing High Quality User Contributions: New Arm Generation in Bandit LearningYang Liu, Chien-Ju Ho. 1146-1153 [doi]
• On the Approximation of Nash Equilibria in Sparse Win-Lose GamesZhengyang Liu, Ying Sheng. 1154-1160 [doi]
• Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney ExchangeDuncan C. McElfresh, John P. Dickerson. 1161-1168 [doi]
• Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner ElectionsDominik Peters. 1169-1176 [doi]
• Fair Rent Division on a BudgetAriel D. Procaccia, Rodrigo A. Velez, Dingli Yu. 1177-1184 [doi]
• Approximation-Variance Tradeoffs in Facility Location GamesAriel D. Procaccia, David Wajc, Hanrui Zhang. 1185-1192 [doi]
• MUDA: A Truthful Multi-Unit Double-Auction MechanismErel Segal-haLevi, Avinatan Hassidim, Yonatan Aumann. 1193-1201 [doi]
• Traffic Optimization for a Mixture of Self-Interested and Compliant AgentsGuni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone. 1202-1209 [doi]
• Coalition Manipulation of Gale-Shapley AlgorithmWeiran Shen, Pingzhong Tang, Yuan Deng. 1210-1217 [doi]
• Axioms for Distance-Based CentralitiesOskar Skibski, Jadwiga Sosnowska. 1218-1225 [doi]
• Non-Exploitable Protocols for Repeated Cake CuttingOmer Tamuz, Shai Vardi, Juba Ziani. 1226-1233 [doi]
• Modelling Iterative Judgment AggregationZoi Terzopoulou, Ulle Endriss. 1234-1241 [doi]
• Rich Coalitional Resource GamesNicolas Troquard. 1242-1249 [doi]
• It Takes (Only) Two: Adversarial Generator-Encoder NetworksDmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky. 1250-1257 [doi]
• An Axiomatization of the Eigenvector and Katz CentralitiesTomasz Was, Oskar Skibski. 1258-1265 [doi]
• A Regression Approach for Modeling Games With Many Symmetric PlayersBryce Wiedenbeck, Fengjun Yang, Michael P. Wellman. 1266-1273 [doi]
• Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular StructureBryan Wilder. 1274-1281 [doi]
• Incentive-Compatible Forecasting CompetitionsJens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause 0001. 1282-1289 [doi]
• Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security GamesHaifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe. 1290-1297 [doi]
• Average-Case Approximation Ratio of Scheduling Without PaymentsJie Zhang. 1298-1305 [doi]
• Avoiding Dead Ends in Real-Time Heuristic SearchBence Cserna, William J. Doyle, Jordan S. Ramsdell, Wheeler Ruml. 1306-1313 [doi]
• Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing EnvironmentHiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi. 1314-1321 [doi]
• A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation ProblemsDavid Hemmi, Guido Tack, Mark Wallace 0001. 1322-1329 [doi]
• Locality Preserving Projection Based on F-normXiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. 1330-1337 [doi]
• A Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique ProblemHua Jiang, Chu Min Li, Yanli Liu, Felip Manyà. 1338-1346 [doi]
• Revisiting Immediate Duplicate Detection in External Memory SearchShunji Lin, Alex Fukunaga. 1347-1354 [doi]
• Warmstarting of Model-Based Algorithm ConfigurationMarius Lindauer, Frank Hutter. 1355-1362 [doi]
• On the Time and Space Complexity of Genetic Programming for Evolving Boolean ConjunctionsAndrei Lissovoi, Pietro Simone Oliveto. 1363-1370 [doi]
• Proximal Alternating Direction Network: A Globally Converged Deep Unrolling FrameworkRisheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo. 1371-1378 [doi]
• Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the FlyBaharan Mirzasoleiman, Stefanie Jegelka, Andreas Krause 0001. 1379-1386 [doi]
• Exact Clustering via Integer Programming and Maximum SatisfiabilityAtsushi Miyauchi, Tomohiro Sonobe, Noriyoshi Sukegawa. 1387-1394 [doi]
• On Multiset Selection With Size ConstraintsChao Qian, Yibo Zhang, Ke Tang, Xin Yao 0001. 1395-1402 [doi]
• Disjunctive Program Synthesis: A Robust Approach to Programming by ExampleMohammad Raza, Sumit Gulwani. 1403-1412 [doi]
• Accelerated Best-First Search With Upper-Bound Computation for Submodular Function MaximizationShinsaku Sakaue, Masakazu Ishihata. 1413-1421 [doi]
• Submodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision DiagramsShinsaku Sakaue, Masaaki Nishino, Norihito Yasuda. 1422-1430 [doi]
• Counting Linear Extensions in Practice: MCMC Versus Exponential Monte CarloTopi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto. 1431-1438 [doi]
• Large Scale Constrained Linear Regression Revisited: Faster Algorithms via PreconditioningDi Wang, Jinhui Xu 0001. 1439-1446 [doi]
• Noisy Derivative-Free Optimization With Value SuppressionHong Wang, Hong Qian, Yang Yu. 1447-1454 [doi]
• Memory-Augmented Monte Carlo Tree SearchChenjun Xiao, Jincheng Mei, Martin Müller 0003. 1455-1462 [doi]
• A Coverage-Based Utility Model for Identifying Unknown UnknownsGagan Bansal, Daniel S. Weld. 1463-1470 [doi]
• Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering ExampleBar Hilleli, Ran El-Yaniv. 1471-1478 [doi]
• An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler JudgmentsAshish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan. 1479-1486 [doi]
• Interactively Learning a Blend of Goal-Based and Procedural TasksAaron Mininger, John E. Laird. 1487-1494 [doi]
• Emergence of Grounded Compositional Language in Multi-Agent PopulationsIgor Mordatch, Pieter Abbeel. 1495-1502 [doi]
• Human-in-the-Loop SLAMSamer B. Nashed, Joydeep Biswas. 1503-1510 [doi]
• An Interpretable Joint Graphical Model for Fact-Checking From CrowdsAn T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron C. Wallace. 1511-1518 [doi]
• How AI Wins Friends and Influences People in Repeated Games With Cheap TalkMayada Oudah, Talal Rahwan, Tawna Crandall, Jacob W. Crandall. 1519-1526 [doi]
• Anchors: High-Precision Model-Agnostic ExplanationsMarco Túlio Ribeiro, Sameer Singh 0001, Carlos Guestrin. 1527-1535 [doi]
• Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen ScienceAvi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller. 1536-1544 [doi]
• Deep TAMER: Interactive Agent Shaping in High-Dimensional State SpacesGarrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone. 1545-1554 [doi]
• Semi-Supervised Learning From Crowds Using Deep Generative ModelsKyohei Atarashi, Satoshi Oyama, Masahito Kurihara. 1555-1562 [doi]
• Sentiment Analysis via Deep Hybrid Textual-Crowd Learning ModelKamran Ghasedi Dizaji, Heng Huang. 1563-1570 [doi]
• Understanding Over Participation in Simple ContestsPriel Levy, David Sarne. 1571-1578 [doi]
• Understanding Social Interpersonal Interaction via Synchronization Templates of Facial EventsRui Li, Jared Curhan, Mohammed (Ehsan) Hoque. 1579-1586 [doi]
• A Voting-Based System for Ethical Decision MakingRitesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia. 1587-1594 [doi]
• Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited KnowledgeGoran Radanovic, Boi Faltings. 1595-1602 [doi]
• Information Gathering With Peers: Submodular Optimization With Peer-Prediction ConstraintsGoran Radanovic, Adish Singla, Andreas Krause 0001, Boi Faltings. 1603-1610 [doi]
• Deep Learning from CrowdsFilipe Rodrigues, Francisco C. Pereira. 1611-1618 [doi]
• AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive ModelingRyusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima. 1619-1626 [doi]
• Adversarial Learning for Chinese NER From Crowd AnnotationsYaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang. 1627-1635 [doi]
• Adapting a Kidney Exchange Algorithm to Align With Human ValuesRachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer. 1636-1643 [doi]
• State of the Art: Reproducibility in Artificial IntelligenceOdd Erik Gundersen, Sigbjørn Kjensmo. 1644-1651 [doi]
• Towards Imperceptible and Robust Adversarial Example Attacks Against Neural NetworksBo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu. 1652-1659 [doi]
• Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input GradientsAndrew Slavin Ross, Finale Doshi-Velez. 1660-1669 [doi]
• Beyond Sparsity: Tree Regularization of Deep Models for InterpretabilityMike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth 0001, Finale Doshi-Velez. 1670-1678 [doi]
• Coupled Deep Learning for Heterogeneous Face RecognitionXiang Wu, Lingxiao Song, Ran He, Tieniu Tan. 1679-1686 [doi]
• A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning AgentsYueh-Hua Wu, Shou-de Lin. 1687-1694 [doi]
• Deception Detection in VideosZhe Wu, Bharat Singh, Larry S. Davis, V. S. Subrahmanian. 1695-1702 [doi]
• Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer InterfaceDalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah. 1703-1710 [doi]
• WiFi-Based Human Identification via Convex Tensor Shapelet LearningHan Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos. 1711-1719 [doi]
• Externally Supported Models for Efficient Computation of Paracoherent Answer SetsGiovanni Amendola, Carmine Dodaro, Wolfgang Faber 0001, Francesco Ricca. 1720-1727 [doi]
• Combining Rules and Ontologies into Clopen Knowledge BasesLabinot Bajraktari, Magdalena Ortiz, Mantas Simkus. 1728-1735 [doi]
• How Many Properties Do We Need for Gradual Argumentation?Pietro Baroni, Antonio Rago, Francesca Toni. 1736-1743 [doi]
• Situation Calculus Semantics for Actual CausalityVitaliy Batusov, Mikhail Soutchanski. 1744-1752 [doi]
• Complexity of Verification in Incomplete Argumentation FrameworksDorothea Baumeister, Daniel Neugebauer, Jörg Rothe, Hilmar Schadrack. 1753-1760 [doi]
• Goal-Driven Query Answering for Existential Rules With EqualityMichael Benedikt, Boris Motik, Efthymia Tsamoura. 1761-1770 [doi]
• LTLf/LDLf Non-Markovian RewardsRonen I. Brafman, Giuseppe De Giacomo, Fabio Patrizi. 1771-1778 [doi]
• Weighted Abstract Dialectical FrameworksGerhard Brewka, Hannes Strass, Johannes Peter Wallner, Stefan Woltran. 1779-1786 [doi]
• SELF: Structural Equational Likelihood Framework for Causal DiscoveryRuichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao. 1787-1794 [doi]
• SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context EmbeddingsErik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok. 1795-1802 [doi]
• Towards a Unified Framework for Syntactic Inconsistency MeasuresGlauber De Bona, John Grant, Anthony Hunter, Sébastien Konieczny. 1803-1810 [doi]
• Convolutional 2D Knowledge Graph EmbeddingsTim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel 0001. 1811-1818 [doi]
• TorusE: Knowledge Graph Embedding on a Lie GroupTakuma Ebisu, Ryutaro Ichise. 1819-1826 [doi]
• Rational Inference Patterns Based on Conditional LogicChristian Eichhorn, Gabriele Kern-Isberner, Marco Ragni. 1827-1834 [doi]
• Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative ExtensionLiangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhao-Rong Lai. 1835-1844 [doi]
• Answering Regular Path Queries over SQ OntologiesVíctor Gutiérrez-Basulto, Yazmin Angélica Ibáñez-García, Jean Christoph Jung. 1845-1852 [doi]
• Towards Formal Definitions of Blameworthiness, Intention, and Moral ResponsibilityJoseph Y. Halpern, Max Kleiman-Weiner. 1853-1860 [doi]
• Behavior Is Everything: Towards Representing Concepts with Sensorimotor ContingenciesNicholas Hay, Michael Stark 0006, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George. 1861-1870 [doi]
• Optimised Maintenance of Datalog MaterialisationsPan Hu, Boris Motik, Ian Horrocks. 1871-1879 [doi]
• Qualitative Reasoning About Cardinal Directions Using Answer Set ProgrammingYusuf Izmirlioglu, Esra Erdem 0001. 1880-1887 [doi]
• Learning Abduction Using Partial ObservabilityBrendan Juba, Zongyi Li, Evan Miller. 1888-1896 [doi]
• Probabilistic Inference Over Repeated Insertion ModelsBatya Kenig, Lovro Ilijasic, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich. 1897-1904 [doi]
• Question Answering as Global Reasoning Over Semantic AbstractionsDaniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth. 1905-1914 [doi]
• In Praise of Belief Bases: Doing Epistemic Logic Without Possible WorldsEmiliano Lorini. 1915-1922 [doi]
• Maximum A Posteriori Inference in Sum-Product NetworksJun Mei, Yong Jiang, Kewei Tu. 1923-1930 [doi]
• Fair Inference on OutcomesRazieh Nabi, Ilya Shpitser. 1931-1940 [doi]
• Stream Reasoning in Temporal DatalogAlessandro Ronca, Mark Kaminski, Bernardo Cuenca Grau, Boris Motik, Ian Horrocks. 1941-1948 [doi]
• On Consensus in Belief MergingNicolas Schwind, Pierre Marquis. 1949-1956 [doi]
• Open-World Knowledge Graph CompletionBaoxu Shi, Tim Weninger. 1957-1964 [doi]
• Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving ObjectsJakob Suchan, Mehul Bhatt, Przemyslaw Andrzej Walega, Carl P. L. Schultz. 1965-1972 [doi]
• A Framework and Positive Results for IAR-answeringDespoina Trivela, Giorgos Stoilos, Vasilis Vassalos. 1973-1980 [doi]
• Repairing Ontologies via Axiom WeakeningNicolas Troquard, Roberto Confalonieri 0001, Pietro Galliani, Rafael Peñaloza, Daniele Porello, Oliver Kutz. 1981-1988 [doi]
• Measuring Strong InconsistencyMarkus Ulbricht, Matthias Thimm, Gerhard Brewka. 1989-1996 [doi]
• Splitting an LPMLN ProgramBin Wang, Zhizheng Zhang, Hongxiang Xu, Jun Shen. 1997-2004 [doi]
• Incorporating GAN for Negative Sampling in Knowledge Representation LearningPeiFeng Wang, Shuangyin Li, Rong Pan. 2005-2012 [doi]
• Forgetting and Unfolding for Existential RulesZhe Wang, Kewen Wang, Xiaowang Zhang. 2013-2020 [doi]
• Machine-Translated Knowledge Transfer for Commonsense Causal ReasoningJinyoung Yeo, Geungyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang. 2021-2028 [doi]
• Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal DiscoveryHao Zhang, Shuigeng Zhou, Jihong Guan. 2029-2036 [doi]
• Fairness in Decision-Making - The Causal Explanation FormulaJunzhe Zhang, Elias Bareinboim. 2037-2045 [doi]
• Embedding of Hierarchically Typed Knowledge BasesRichong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao. 2046-2053 [doi]
• On the Satisfiability Problem of Patterns in SPARQL 1.1Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Zhe Wang. 2054-2062 [doi]
• Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial RoadsAvinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam. 2063-2070 [doi]
• Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural NetworksOnur Atan, James Jordon, Mihaela van der Schaar. 2071-2078 [doi]
• DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk PredictionBrandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher. 2079-2086 [doi]
• CSWA: Aggregation-Free Spatial-Temporal Community SensingJiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das. 2087-2094 [doi]
• Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped ObservationsDiane Bouchacourt, Ryota Tomioka, Sebastian Nowozin. 2095-2102 [doi]
• Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric LearningLong Chen 0005, Yuhang He. 2103-2110 [doi]
• Modeling Scientific Influence for Research Trending Topic PredictionChengyao Chen, Zhitao Wang, Wenjie Li, Xu Sun. 2111-2118 [doi]
• Tap and Shoot SegmentationDing-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Long-Wen Chang. 2119-2126 [doi]
• HARP: Hierarchical Representation Learning for NetworksHaochen Chen, Bryan Perozzi, Yifan Hu, Steven Skiena. 2127-2134 [doi]
• Latent Sparse Modeling of Longitudinal Multi-Dimensional DataKo-Shin Chen, Tingyang Xu, Jinbo Bi. 2135-2142 [doi]
• Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity RecognitionWeihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri. 2143-2150 [doi]
• A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring StationsWeiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang. 2151-2158 [doi]
• Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based RepresentationChing-Hua Chuan, Dorien Herremans. 2159-2166 [doi]
• Adversarial Network EmbeddingQuanyu Dai, Qiang Li, Jian Tang, Dan Wang. 2167-2174 [doi]
• Collaborative Filtering With User-Item Co-Autoregressive ModelsChao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang. 2175-2182 [doi]
• The Shape of Art History in the Eyes of the MachineAhmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone. 2183-2191 [doi]
• Multi-Step Time Series Generator for Molecular DynamicsKatsuhiro Endo, Katsufumi Tomobe, Kenji Yasuoka. 2192-2199 [doi]
• Search Action Sequence Modeling With Long Short-Term Memory for Search Task Success EvaluationAlin Fan, Ling Chen, Gencai Chen. 2200-2207 [doi]
• Discriminant Projection Representation-Based Classification for Vision RecognitionQingxiang Feng, Yicong Zhou. 2208-2214 [doi]
• The Geometric Block ModelSainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha. 2215-2222 [doi]
• Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object RetrievalZan Gao, Deyu Wang, Xiangnan He 0001, Hua Zhang. 2223-2231 [doi]
• Dependence Guided Unsupervised Feature SelectionJun Guo, Wenwu Zhu 0001. 2232-2239 [doi]
• On Trivial Solution and High Correlation Problems in Deep Supervised HashingYuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han. 2240-2247 [doi]
• Learning User Preferences to Incentivize Exploration in the Sharing EconomyChristoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause 0001. 2248-2256 [doi]
• Video-Based Sign Language Recognition Without Temporal SegmentationJie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li. 2257-2264 [doi]
• Energy-Efficient Automatic Train Driving by Learning Driving PatternsJin Huang 0002, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu 0001. 2265-2272 [doi]
• Video-Based Person Re-Identification via Self Paced WeightingWenjun Huang, Chao Liang, Yi Yu, Zheng Wang, Weijian Ruan, Ruimin Hu. 2273-2280 [doi]
• Generating Music Medleys via Playing Music Puzzle GamesYu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang. 2281-2288 [doi]
• Link Prediction With Personalized Social InfluenceZepeng Huo, Xiao Huang, Xia Hu. 2289-2296 [doi]
• Task-Aware Compressed Sensing With Generative Adversarial NetworksMaya Kabkab, Pouya Samangouei, Rama Chellappa. 2297-2304 [doi]
• Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement LearningHao-Cheng Kao, Kai-Fu Tang, Edward Y. Chang. 2305-2313 [doi]
• DeepHit: A Deep Learning Approach to Survival Analysis With Competing RisksChangHee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar. 2314-2321 [doi]
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• Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-IdentificationKai Li, Zhengming Ding, Sheng Li 0001, Yun Fu. 2331-2338 [doi]
• Unified Locally Linear Classifiers With Diversity-Promoting Anchor PointsChenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi. 2339-2346 [doi]
• Multi-Modal Multi-Task Learning for Automatic Dietary AssessmentQi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann. 2347-2354 [doi]
• Distance-Aware DAG Embedding for Proximity Search on Heterogeneous GraphsZemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying. 2355-2362 [doi]
• Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANsMatthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi. 2363-2370 [doi]
• Probabilistic Ensemble of Collaborative FiltersZhiyu Min, Dahua Lin. 2371-2378 [doi]
• A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising CampaignsAlessandro Nuara, Francesco Trovò, Nicola Gatti 0001, Marcello Restelli. 2379-2386 [doi]
• Hierarchical Video Generation From Orthogonal Information: Optical Flow and TextureKatsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada. 2387-2394 [doi]
• Sequence-to-Sequence Learning via Shared Latent RepresentationXu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao. 2395-2402 [doi]
• Compatibility Family Learning for Item Recommendation and GenerationYong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun. 2403-2410 [doi]
• Neural Ideal Point Estimation NetworkKyungwoo Song, Wonsung Lee, Il-Chul Moon. 2411-2418 [doi]
• Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error AnalysisLiangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li. 2419-2426 [doi]
• r-BTN: Cross-Domain Face Composite and Synthesis From Limited Facial PatchesYang Song, Zhifei Zhang, Hairong Qi. 2427-2434 [doi]
• Exercise-Enhanced Sequential Modeling for Student Performance PredictionYu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu. 2435-2443 [doi]
• Compressed Sensing MRI Using a Recursive Dilated NetworkLiyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley. 2444-2451 [doi]
• Mesh-Based Autoencoders for Localized Deformation Component AnalysisQingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia. 2452-2459 [doi]
• Maximum-Variance Total Variation Denoising for Interpretable Spatial SmoothingWesley Tansey, Jesse Thomason, James G. Scott. 2460-2467 [doi]
• Differential Performance Debugging With Discriminant Regression TreesSaeid Tizpaz Niari, Pavol Cerný, Bor-Yuh Evan Chang, Ashutosh Trivedi. 2468-2475 [doi]
• Adversarial Zero-shot Learning With Semantic AugmentationBin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi. 2476-2483 [doi]
• Model-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity DisaggregationMark Valovage, Akshay Shekhawat, Maria L. Gini. 2484-2491 [doi]
• Multimodal Poisson Gamma Belief NetworkChaojie Wang, Bo Chen 0001, Mingyuan Zhou. 2492-2499 [doi]
• When Will You Arrive? Estimating Travel Time Based on Deep Neural NetworksDong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng. 2500-2507 [doi]
• GraphGAN: Graph Representation Learning With Generative Adversarial NetsHongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo. 2508-2515 [doi]
• Collaborative Filtering With Social Exposure: A Modular Approach to Social RecommendationMenghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang. 2516-2523 [doi]
• AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and VideoXin Ru Nancy Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton. 2524-2531 [doi]
• Attention-Based Transactional Context Embedding for Next-Item RecommendationShoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu 0007. 2532-2539 [doi]
• Fully Convolutional Network Based Skeletonization for Handwritten Chinese CharactersTie-Qiang Wang, Cheng-Lin Liu. 2540-2547 [doi]
• Directional Label Rectification in Adaptive GraphXiaoqian Wang, Hao Huang. 2548-2555 [doi]
• Hybrid Attentive Answer Selection in CQA With Deep Users ModellingJiahui Wen, Jingwei Ma, Yiliu Feng, Mingyang Zhong. 2556-2563 [doi]
• Modeling Attention and Memory for Auditory Selection in a Cocktail Party EnvironmentJiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu. 2564-2571 [doi]
• Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria ApproachTong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong. 2572-2579 [doi]
• Learning Generative Neural Networks for 3D ColorizationZhenpei Yang, Lihang Liu, Qixing Huang. 2580-2587 [doi]
• Deep Multi-View Spatial-Temporal Network for Taxi Demand PredictionHuaxiu Yao, Fei Wu 0007, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li. 2588-2595 [doi]
• WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item RecommendationLu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang. 2596-2603 [doi]
• Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load MonitoringChaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles A. Sutton. 2604-2611 [doi]
• Feature Enhancement Network: A Refined Scene Text DetectorSheng Zhang, Yuliang Liu, Lianwen Jin, Canjie Luo. 2612-2619 [doi]
• COSINE: Community-Preserving Social Network Embedding From Information Diffusion CascadesYuan Zhang, Tianshu Lyu, Yan Zhang. 2620-2627 [doi]
• Data Poisoning Attacks on Multi-Task Relationship LearningMengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan. 2628-2635 [doi]
• An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and GenerationRui Zhao, Qiang Ji. 2636-2643 [doi]
• Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action RecognitionNenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai, Zhefeng Gong. 2644-2651 [doi]
• SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior InteractionYanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng. 2652-2659 [doi]
• Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional ConnectivityXiaofeng Zhu, Hongming Li, Yong Fan 0001. 2660-2668 [doi]
• Safe Reinforcement Learning via ShieldingMohammed Alshiekh, Roderick Bloem, Rüdiger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu. 2669-2678 [doi]
• Sample-Efficient Learning of MixturesHassan Ashtiani, Shai Ben-David, Abbas Mehrabian. 2679-2686 [doi]
• Learning to Attack: Adversarial Transformation NetworksShumeet Baluja, Ian Fischer. 2687-2695 [doi]
• Online Learning for Structured Loss SpacesSiddharth Barman, Aditya Gopalan, Aadirupa Saha. 2696-2703 [doi]
• ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label ClassificationSima Behpour, Wei Xing, Brian D. Ziebart. 2704-2711 [doi]
• Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree InductionJessa Bekker, Jesse Davis. 2712-2719 [doi]
• Long-Term Image Boundary PredictionApratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz. 2720-2729 [doi]
• Algorithms for Generalized Topic ModelingAvrim Blum, Nika Haghtalab. 2730-2737 [doi]
• Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group StructureAleksandar Bojchevski, Stephan Günnemann. 2738-2745 [doi]
• Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant AnalysisForough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long. 2746-2753 [doi]
• Efficient Probabilistic Performance Bounds for Inverse Reinforcement LearningDaniel S. Brown, Scott Niekum. 2754-2762 [doi]
• Teaching a Machine to Read Maps With Deep Reinforcement LearningGino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer. 2763-2770 [doi]
• Graph Scan Statistics With UncertaintyJose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng. 2771-2778 [doi]
• Mining Heavy Temporal Subgraphs: Fast Algorithms and ApplicationsJose Cadena, Anil Vullikanti. 2779-2786 [doi]
• Efficient Architecture Search by Network TransformationHan Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang. 2787-2794 [doi]
• Unsupervised Domain Adaptation With Distribution Matching MachinesYue Cao, Mingsheng Long, Jianmin Wang. 2795-2802 [doi]
• Link Prediction via Subgraph Embedding-Based Convex Matrix CompletionZhu Cao, Linlin Wang, Gerard de Melo. 2803-2810 [doi]
• Reversible Architectures for Arbitrarily Deep Residual Neural NetworksBo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham. 2811-2818 [doi]
• Gated-Attention Architectures for Task-Oriented Language GroundingDevendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov. 2819-2826 [doi]
• AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed TrainingChia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan. 2827-2835 [doi]
• LSTD: A Low-Shot Transfer Detector for Object DetectionHao Chen, Yali Wang, Guoyou Wang, Yu Qiao 0001. 2836-2843 [doi]
• Automatic Segmentation of Data SequencesLiangzhe Chen, Sorour E. Amiri, B. Aditya Prakash. 2844-2851 [doi]
• DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities TransferYunTao Chen, Naiyan Wang, Zhaoxiang Zhang. 2852-2859 [doi]
• Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov NetworksLi Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate. 2860-2867 [doi]
• Expected Policy GradientsKamil Ciosek, Shimon Whiteson. 2868-2875 [doi]
• Diverse Exploration for Fast and Safe Policy ImprovementAndrew Cohen, Lei Yu, Robert Wright. 2876-2883 [doi]
• Clustering Small Samples With Quality Guarantees: Adaptivity With One2all PPSEdith Cohen, Shiri Chechik, Haim Kaplan. 2884-2891 [doi]
• Distributional Reinforcement Learning With Quantile RegressionWill Dabney, Mark Rowland, Marc G. Bellemare, Rémi Munos. 2892-2901 [doi]
• Multi-Step Reinforcement Learning: A Unifying AlgorithmKristopher De Asis, J. Fernando Hernandez-Garcia, G. Zacharias Holland, Richard S. Sutton. 2902-2909 [doi]
• Randomized Kernel Selection With Spectra of Multilevel Circulant MatricesLi-Zhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao. 2910-2917 [doi]
• Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable RecommendationTrong Dinh Thac Do, Longbing Cao. 2918-2925 [doi]
• Learning From Semi-Supervised Weak-Label DataHao-Chen Dong, Yu-Feng Li, Zhi-Hua Zhou. 2926-2933 [doi]
• Decomposition Strategies for Constructive Preference ElicitationPaolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini. 2934-2942 [doi]
• Constructive Preference Elicitation Over Hybrid Combinatorial SpacesPaolo Dragone, Stefano Teso, Andrea Passerini. 2943-2950 [doi]
• Learning to Rank Based on Analogical ReasoningMohsen Ahmadi Fahandar, Eyke Hüllermeier. 2951-2958 [doi]
• Learning Lexicographic Preference Trees From Positive ExamplesHélène Fargier, Pierre-François Gimenez, Jérôme Mengin. 2959-2966 [doi]
• AutoEncoder by ForestJi Feng, Zhi-Hua Zhou. 2967-2973 [doi]
• Counterfactual Multi-Agent Policy GradientsJakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson. 2974-2982 [doi]
• Lagrangian Constrained Community DetectionMohadeseh Ganji, James Bailey, Peter J. Stuckey. 2983-2990 [doi]
• DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix FactorizationTianxiang Gao, Chris Chu. 2991-2998 [doi]
• Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale ForecastingYuyang Gao, Liang Zhao. 2999-3006 [doi]
• Learning Combinatory Categorial Grammars for Plan RecognitionChristopher W. Geib, Pavan Kantharaju. 3007-3014 [doi]
• Characterization of the Convex Łukasiewicz Fragment for Learning From ConstraintsFrancesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini. 3015-3020 [doi]
• Topic Modeling on Health Journals With Regularized Variational InferenceRobert Giaquinto, Arindam Banerjee. 3021-3028 [doi]
• Non-Discriminatory Machine Learning Through Convex Fairness CriteriaNaman Goel, Mohammad Yaghini, Boi Faltings. 3029-3036 [doi]
• Margin Based PU LearningTieliang Gong, Guangtao Wang, Jieping Ye, ZongBen Xu, Ming Lin. 3037-3044 [doi]
• A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence ModelsKartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick. 3045-3052 [doi]
• Human Guided Linear Regression With Feature-Level ConstraintsAubrey Gress, Ian Davidson. 3053-3060 [doi]
• Learning Predictive State Representations From Non-Uniform SamplingYuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup. 3061-3068 [doi]
• Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative ModelsAditya Grover, Manik Dhar, Stefano Ermon. 3069-3076 [doi]
• Boosted Generative ModelsAditya Grover, Stefano Ermon. 3077-3084 [doi]
• Asynchronous Doubly Stochastic Sparse Kernel LearningBin Gu, Miao Xin, Zhouyuan Huo, Heng Huang. 3085-3092 [doi]
• Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth OptimizationBin Gu, De Wang, Zhouyuan Huo, Heng Huang. 3093-3100 [doi]
• An Euclidean Distance Based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data ClusteringLei Gu, Ningning Zhou, Yang Zhao. 3101-3108 [doi]
• Who Said What: Modeling Individual Labelers Improves ClassificationMelody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton. 3109-3118 [doi]
• Nonparametric Stochastic Contextual BanditsMelody Y. Guan, Heinrich Jiang. 3119-3125 [doi]
• A General Formulation for Safely Exploiting Weakly Supervised DataLan-Zhe Guo, Yu-Feng Li. 3126-3133 [doi]
• Double Forward Propagation for Memorized Batch NormalizationYong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan. 3134-3141 [doi]
• Learning Across Scales - Multiscale Methods for Convolution Neural NetworksEldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun. 3142-3148 [doi]
• A Framework for Multistream Regression With Direct Density Ratio EstimationAhsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan. 3149-3156 [doi]
• Approximate and Exact Enumeration of Rule ModelsSatoshi Hara, Masakazu Ishihata. 3157-3164 [doi]
• When Waiting Is Not an Option: Learning Options With a Deliberation CostJean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup. 3165-3172 [doi]
• Learning With Options That Terminate Off-PolicyAnna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé. 3173-3182 [doi]
• Reinforced Multi-Label Image Classification by Exploring CurriculumShiyi He, Chang Xu 0002, Tianyu Guo, Chao Xu 0006, Dacheng Tao. 3183-3190 [doi]
• An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical SystemsAhmed Hefny, Carlton Downey, Geoffrey J. Gordon. 3191-3198 [doi]
• OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement LearningPeter Henderson 0002, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup. 3199-3206 [doi]
• Deep Reinforcement Learning That MattersPeter Henderson 0002, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger. 3207-3214 [doi]
• Rainbow: Combining Improvements in Deep Reinforcement LearningMatteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver. 3215-3222 [doi]
• Deep Q-learning From DemonstrationsTodd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John Agapiou, Joel Z. Leibo, Audrunas Gruslys. 3223-3230 [doi]
• Decentralized High-Dimensional Bayesian Optimization With Factor GraphsTrong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low. 3231-3238 [doi]
• A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label LearningCheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin. 3239-3246 [doi]
• From Hashing to CNNs: Training Binary Weight Networks via HashingQinghao Hu, Peisong Wang, Jian Cheng. 3247-3254 [doi]
• SNNN: Promoting Word Sentiment and Negation in Neural Sentiment ClassificationQinmin Hu, Jie Zhou, Qin Chen, Liang He. 3255-3262 [doi]
• On Convergence of Epanechnikov Mean ShiftKejun Huang, Xiao Fu 0001, Nicholas D. Sidiropoulos. 3263-3270 [doi]
• Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural NetworksLei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li. 3271-3278 [doi]
• Building Deep Networks on Grassmann ManifoldsZhiwu Huang, Jiqing Wu, Luc Van Gool. 3279-3286 [doi]
• Accelerated Method for Stochastic Composition Optimization With Nonsmooth RegularizationZhouyuan Huo, Bin Gu, Ji Liu, Heng Huang. 3287-3294 [doi]
• Product Quantized Translation for Fast Nearest Neighbor SearchYoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn. 3295-3301 [doi]
• Selective Experience Replay for Lifelong LearningDavid Isele, Akansel Cosgun. 3302-3309 [doi]
• Label Distribution Learning by Exploiting Label CorrelationsXiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang. 3310-3317 [doi]
• Metric-Based Auto-Instructor for Learning Mixed Data RepresentationSonglei Jian, Liang Hu, Longbing Cao, Kai Lu. 3318-3325 [doi]
• Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear CombinationFei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen. 3326-3333 [doi]
• PAC Reinforcement Learning With an Imperfect ModelNan Jiang. 3334-3341 [doi]
• Asymmetric Deep Supervised HashingQing-Yuan Jiang, Wu-Jun Li. 3342-3349 [doi]
• On Controlling the Size of Clusters in Probabilistic ClusteringAditya Jitta, Arto Klami. 3350-3357 [doi]
• Less-Forgetful Learning for Domain Expansion in Deep Neural NetworksHeechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim. 3358-3365 [doi]
• Unified Spectral Clustering With Optimal GraphZhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu. 3366-3373 [doi]
• Batchwise Patching of ClassifiersSebastian Kauschke, Johannes Fürnkranz. 3374-3381 [doi]
• Deep Semi-Random Features for Nonlinear Function ApproximationKenji Kawaguchi, Bo Xie 0002, Le Song. 3382-3389 [doi]
• Measuring Catastrophic Forgetting in Neural NetworksRonald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan. 3390-3398 [doi]
• Approximate Vanishing Ideal via Data KnottingHiroshi Kera, Yoshihiko Hasegawa. 3399-3406 [doi]
• Feature Engineering for Predictive Modeling Using Reinforcement LearningUdayan Khurana, Horst Samulowitz, Deepak S. Turaga. 3407-3414 [doi]
• Imitation Learning via Kernel Mean EmbeddingKee-Eung Kim, Hyun Soo Park. 3415-3422 [doi]
• On the Optimal Bit Complexity of Circulant Binary EmbeddingSaehoon Kim, Jungtaek Kim, Seungjin Choi. 3423-3430 [doi]
• Joint Dictionaries for Zero-Shot LearningSoheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim. 3431-3439 [doi]
• Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRFHarshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi. 3440-3447 [doi]
• gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting ItemsYeon-Chang Lee, Sang-Wook Kim, Dongwon Lee 0001. 3448-3456 [doi]
• On Value Function Representation of Long Horizon ProblemsLucas Lehnert, Romain Laroche, Harm van Seijen. 3457-3465 [doi]
• Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMMCong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin. 3466-3473 [doi]
• Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action SpacesDaniel Levy, Stefano Ermon. 3474-3481 [doi]
• Spatio-Temporal Graph Convolution for Skeleton Based Action RecognitionChaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang. 3482-3489 [doi]
• Learning to Generalize: Meta-Learning for Domain GeneralizationDa Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales. 3490-3497 [doi]
• A Probabilistic Hierarchical Model for Multi-View and Multi-Feature ClassificationJinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang. 3498-3505 [doi]
• Predictive Coding Machine for Compressed Sensing and Image DenoisingJun Li, Hongfu Liu, Yun Fu. 3506-3513 [doi]
• Unsupervised Personalized Feature SelectionJundong Li, Liang Wu 0006, Harsh Dani, Huan Liu 0001. 3514-3521 [doi]
• Latent Discriminant Subspace Representations for Multi-View Outlier DetectionKai Li, Sheng Li 0001, Zhengming Ding, Weidong Zhang, Yun Fu. 3522-3529 [doi]
• Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its PredictionsOscar Li, Hao Liu 0015, Chaofan Chen, Cynthia Rudin. 3530-3537 [doi]
• Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningQimai Li, Zhichao Han, Xiao-Ming Wu. 3538-3545 [doi]
• Adaptive Graph Convolutional Neural NetworksRuoyu Li, Sheng Wang, Feiyun Zhu, JunZhou Huang. 3546-3553 [doi]
• Online Clustering of Contextual Cascading BanditsShuai Li, Shengyu Zhang. 3554-3561 [doi]
• An Optimal Online Method of Selecting Source Policies for Reinforcement LearningSiyuan Li, Chongjie Zhang. 3562-3570 [doi]
• Statistical Inference Using SGDTianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis. 3571-3578 [doi]
• Domain Generalization via Conditional Invariant RepresentationsYa Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao. 3579-3587 [doi]
• Learning With Incomplete LabelsYingming Li, Zenglin Xu, Zhongfei Zhang. 3588-3595 [doi]
• Balanced Clustering via Exclusive Lasso: A Pragmatic ApproachZhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang. 3596-3603 [doi]
• 2, p-norm MaximizationShuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao. 3604-3610 [doi]
• CoDiNMF: Co-Clustering of Directed Graphs via NMFWoosang Lim, Rundong Du, Haesun Park. 3611-3618 [doi]
• Transferable Contextual Bandit for Cross-Domain RecommendationBo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang 0001. 3619-3626 [doi]
• Riemannian Stein Variational Gradient Descent for Bayesian InferenceChang Liu, Jun Zhu. 3627-3634 [doi]
• Dual Set Multi-Label LearningChong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou. 3635-3642 [doi]
• Information Directed Sampling for Stochastic Bandits With Graph FeedbackFang Liu, Swapna Buccapatnam, Ness B. Shroff. 3643-3650 [doi]
• A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit ProblemFang Liu, Joohyun Lee, Ness B. Shroff. 3651-3658 [doi]
• Nonlinear Pairwise Layer and Its Training for Kernel LearningFanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li 0013. 3659-3666 [doi]
• A Batch Learning Framework for Scalable Personalized RankingKuan Liu, Prem Natarajan. 3667-3674 [doi]
• Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective ExecutionLanlan Liu, Jia Deng. 3675-3682 [doi]
• Doubly Approximate Nearest Neighbor ClassificationWeiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin. 3683-3690 [doi]
• Euler Sparse Representation for Image ClassificationYang Liu, Quanxue Gao, Jungong Han, Shujian Wang. 3691-3697 [doi]
• Variational Probability Flow for Biologically Plausible Training of Deep Neural NetworksZuozhu Liu, Tony Q. S. Quek, Shaowei Lin. 3698-3705 [doi]
• A Parallelizable Acceleration Framework for Packing Linear ProgramsPalma London, Shai Vardi, Adam Wierman, Hanling Yi. 3706-3713 [doi]
• Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence AnalysisCanyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan. 3714-3721 [doi]
• Matrix Variate Gaussian Mixture Distribution Steered Robust Metric LearningLei Luo, Heng Huang. 3722-3729 [doi]
• Consistent and Specific Multi-View Subspace ClusteringShirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao. 3730-3737 [doi]
• Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step SizeKe Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao. 3738-3745 [doi]
• MDP-Based Cost Sensitive Classification Using Decision TreesShlomi Maliah, Guy Shani. 3746-3753 [doi]
• Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base CompletionHitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo. 3754-3761 [doi]
• Belief Reward Shaping in Reinforcement LearningOfir Marom, Benjamin Rosman. 3762-3769 [doi]
• Learning Multi-Way Relations via Tensor Decomposition With Neural NetworksKoji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai. 3770-3777 [doi]
• Subgraph Pattern Neural Networks for High-Order Graph Evolution PredictionChangping Meng, S. Chandra Mouli, Bruno Ribeiro 0001, Jennifer Neville. 3778-3787 [doi]
• Exploiting Emotion on Reviews for Recommender SystemsXuying Meng, Suhang Wang, Huan Liu 0001, Yujun Zhang. 3788-3795 [doi]
• Personalized Privacy-Preserving Social RecommendationXuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang. 3796-3803 [doi]
• Proper Loss Functions for Nonlinear Hawkes ProcessesAditya Krishna Menon, Young Lee. 3804-3811 [doi]
• Bernoulli Embeddings for GraphsVinith Misra, Sumit Bhatia. 3812-3819 [doi]
• Core Dependency NetworksAlejandro Molina 0001, Alexander Munteanu, Kristian Kersting. 3820-3827 [doi]
• Mixed Sum-Product Networks: A Deep Architecture for Hybrid DomainsAlejandro Molina 0001, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting. 3828-3835 [doi]
• Alternating Circulant Random Features for Semigroup KernelsYusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. 3836-3843 [doi]
• Overlap-Robust Decision Boundary Learning for Within-Network ClassificationSharad Nandanwar, M. Narasimha Murty. 3844-3851 [doi]
• A Provable Approach for Double-Sparse CodingThanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde. 3852-3859 [doi]
• Hierarchical Policy Search via Return-Weighted Density EstimationTakayuki Osa, Masashi Sugiyama. 3860-3867 [doi]
• Dynamic Determinantal Point ProcessesTakayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara. 3868-3875 [doi]
• Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative PerceptionRuofei Ouyang, Kian Hsiang Low. 3876-3883 [doi]
• Training CNNs With Normalized KernelsMete Özay, Takayuki Okatani. 3884-3891 [doi]
• Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric DataGuansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu. 3892-3899 [doi]
• SAGA: A Submodular Greedy Algorithm for Group RecommendationShameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla. 3900-3908 [doi]
• Quantized Memory-Augmented Neural NetworksSeongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon. 3909-3916 [doi]
• Adversarial Dropout for Supervised and Semi-Supervised LearningSungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon. 3917-3924 [doi]
• Alternating Optimisation and Quadrature for Robust ControlSupratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson. 3925-3933 [doi]
• Multi-Adversarial Domain AdaptationZhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang. 3934-3941 [doi]
• FiLM: Visual Reasoning with a General Conditioning LayerEthan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville. 3942-3951 [doi]
• Source Traces for Temporal Difference LearningSilviu Pitis. 3952-3959 [doi]
• Randomized Clustered Nystrom for Large-Scale Kernel MachinesFarhad Pourkamali Anaraki, Stephen Becker, Michael B. Wakin. 3960-3967 [doi]
• Joint Learning of Set Cardinality and State DistributionS. Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid 0001. 3968-3975 [doi]
• Interpretable Graph-Based Semi-Supervised Learning via FlowsRaif M. Rustamov, James T. Klosowski. 3976-3983 [doi]
• Hypergraph p-Laplacian: A Differential Geometry ViewShota Saito, Danilo P. Mandic, Hideyuki Suzuki. 3984-3991 [doi]
• Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-ClusteringAghiles Salah, Melissa Ailem, Mohamed Nadif. 3992-3999 [doi]
• Learning Vector Autoregressive Models With Latent ProcessesSaber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang. 4000-4007 [doi]
• Regularizing Deep Networks Using Efficient Layerwise Adversarial TrainingSwami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim. 4008-4015 [doi]
• From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping SetsPedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro. 4016-4025 [doi]
• On Data-Dependent Random Features for Improved Generalization in Supervised LearningShahin Shahrampour, Ahmad Beirami, Vahid Tarokh. 4026-4033 [doi]
• Labeled Memory Networks for Online Model AdaptationShiv Shankar, Sunita Sarawagi. 4034-4041 [doi]
• No Modes Left Behind: Capturing the Data Distribution Effectively Using GANsShashank Sharma, Vinay P. Namboodiri. 4042-4049 [doi]
• Reduced-Rank Linear Dynamical SystemsQi She, Yuan Gao, Kai Xu, Rosa H. M. Chan. 4050-4057 [doi]
• Wasserstein Distance Guided Representation Learning for Domain AdaptationJian Shen, Yanru Qu, Weinan Zhang, Yong Yu. 4058-4065 [doi]
• Compact Multi-Label LearningXiaobo Shen 0001, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong. 4066-4073 [doi]
• Dynamic Optimization of Neural Network Structures Using Probabilistic ModelingShinichi Shirakawa, Yasushi Iwata, Youhei Akimoto. 4074-4082 [doi]
• Learning to Interact With Learning AgentsAdish Singla, Seyed Hamed Hassani, Andreas Krause 0001. 4083-4090 [doi]
• Attend and Diagnose: Clinical Time Series Analysis Using Attention ModelsHuan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias. 4091-4098 [doi]
• Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation SetsDenis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé. 4099-4106 [doi]
• Active Lifelong Learning With "Watchdog"Gan Sun, Yang Cong, Xiaowei Xu. 4107-4114 [doi]
• Leaf-Smoothed Hierarchical Softmax for Ordinal PredictionWesley Tansey, Karl Pichotta, James G. Scott. 4115-4122 [doi]
• Reliable Multi-View ClusteringHong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu. 4123-4130 [doi]
• Action Branching Architectures for Deep Reinforcement LearningArash Tavakoli, Fabio Pardo, Petar Kormushev. 4131-4138 [doi]
• Detecting Adversarial Examples Through Image TransformationShixin Tian, Guolei Yang, Ying Cai. 4139-4146 [doi]
• Selective Verification Strategy for Learning From CrowdsTian Tian, Yichi Zhou, Jun Zhu. 4147-4154 [doi]
• Fourier Feature Approximations for Periodic Kernels in Time-Series ModellingAnthony Tompkins, Fabio Ramos. 4155-4162 [doi]
• Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product NetworksAntonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina 0001, Kristian Kersting, Floriana Esposito. 4163-4170 [doi]
• Bayesian Functional OptimizationNgo Anh Vien, Heiko Zimmermann, Marc Toussaint. 4171-4178 [doi]
• Kernel Cross-CorrelatorChen Wang, Le Zhang, Lihua Xie, Junsong Yuan. 4179-4186 [doi]
• Efficient Test-Time Predictor Learning With Group-Based BudgetLi Wang, Dajiang Zhu, Yujie Chi. 4187-4194 [doi]
• Learning Transferable Subspace for Human Motion SegmentationLichen Wang, Zhengming Ding, Yun Fu. 4195-4202 [doi]
• Information-Theoretic Domain Adaptation Under Severe Noise ConditionsWei Wang, Hao Wang, Zhi-Yong Ran, Ran He. 4203-4210 [doi]
• Zero-Shot Learning via Class-Conditioned Deep Generative ModelsWenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin. 4211-4218 [doi]
• Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural NetworksXishun Wang, Minjie Zhang, Fenghui Ren. 4219-4226 [doi]
• On Multi-Relational Link Prediction With Bilinear ModelsYanjie Wang, Rainer Gemulla, Hui Li. 4227-4234 [doi]
• Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization FrameworkYanzhi Wang, Caiwen Ding, Zhe Li 0001, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin. 4235-4243 [doi]
• On the ERM Principle With Networked DataYuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu. 4244-4251 [doi]
• High Rank Matrix Completion With Side InformationYugang Wang, Ehsan Elhamifar. 4252-4259 [doi]
• Adversarial Learning of Portable Student NetworksYunhe Wang, Chang Xu 0002, Chao Xu 0006, Dacheng Tao. 4260-4267 [doi]
• 1-Regularized ModelsJianqiao Wangni. 4268-4275 [doi]
• MERCS: Multi-Directional Ensembles of Regression and Classification TreesElia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel. 4276-4283 [doi]
• Decoupled Convolutions for CNNsGuotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang. 4284-4291 [doi]
• Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC TeachingJianwen Xie, Yang Lu, RuiQi Gao, Ying Nian Wu. 4292-4301 [doi]
• Partial Multi-Label LearningMing-Kun Xie, Sheng-Jun Huang. 4302-4309 [doi]
• Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled DataZheng Xie, Ming Li. 4310-4317 [doi]
• Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and BindingYou-Lu Xing, Fu-Rao Shen, Jin-xi Zhao, Jing-Xin Pan, Ah-Hwee Tan. 4318-4325 [doi]
• HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking AggregationQianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao. 4326-4334 [doi]
• Deep Neural Network Compression With Single and Multiple Level QuantizationYuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong. 4335-4342 [doi]
• Informed Non-Convex Robust Principal Component Analysis With FeaturesNiannan Xue, Jiankang deng, Yannis Panagakis, Stefanos Zafeiriou. 4343-4349 [doi]
• Dictionary Learning in Optimal Metric SpaceJiexi Yan, Cheng Deng, Xianglong Liu. 4350-4357 [doi]
• Automatic Model Selection in Subspace Clustering via Triplet RelationshipsJufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng. 4358-4365 [doi]
• A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic NetworksSikun Yang, Heinz Koeppl. 4366-4373 [doi]
• 2, 1-Norm Relaxation of Multi-Way Graph Cut for ClusteringXu Yang, Cheng Deng, Xianglong Liu, Feiping Nie. 4374-4381 [doi]
• Efficient K-Shot Learning With Regularized Deep NetworksDonghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani. 4382-4389 [doi]
• Learning With Single-Teacher Multi-StudentShan You, Chang Xu 0002, Chao Xu 0006, Dacheng Tao. 4390-4397 [doi]
• Tau-FPL: Tolerance-Constrained Learning in Linear TimeAo Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha. 4398-4405 [doi]
• Multi-Layer Multi-View Classification for Alzheimer's Disease DiagnosisChangqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen. 4406-4413 [doi]
• Latent Semantic Aware Multi-View Multi-Label ClassificationChangqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang. 4414-4421 [doi]
• ROAR: Robust Label Ranking for Social Emotion MiningJason (Jiasheng) Zhang, Dongwon Lee 0001. 4422-4429 [doi]
• Beyond Link Prediction: Predicting Hyperlinks in Adjacency SpaceMuhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen. 4430-4437 [doi]
• An End-to-End Deep Learning Architecture for Graph ClassificationMuhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen. 4438-4445 [doi]
• Feature-Induced Labeling Information Enrichment for Multi-Label LearningQian-Wen Zhang, Yun Zhong, Min-Ling Zhang. 4446-4453 [doi]
• Interpreting CNN Knowledge via an Explanatory GraphQuanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song Chun Zhu. 4454-4463 [doi]
• Examining CNN Representations With Respect to Dataset BiasQuanshi Zhang, Wenguan Wang, Song Chun Zhu. 4464-4473 [doi]
• Optimal Margin Distribution ClusteringTeng Zhang, Zhi-Hua Zhou. 4474-4481 [doi]
• Training Set Debugging Using Trusted ItemsXuezhou Zhang, Xiaojin Zhu 0001, Stephen J. Wright. 4482-4489 [doi]
• EMD Metric LearningZizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao. 4490-4497 [doi]
• Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual IndicatorsLiang Zhao 0002, Junxiang Wang, Xiaojie Guo. 4498-4505 [doi]
• Label Distribution Learning by Optimal TransportPeng Zhao, Zhi-Hua Zhou. 4506-4513 [doi]
• Substructure Assembling Network for Graph ClassificationXiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao. 4514-4521 [doi]
• Hypergraph Learning With Cost Interval OptimizationXibin Zhao, Nan Wang 0005, Heyuan Shi, Hai Wan, Jin Huang 0002, Yue Gao. 4522-4529 [doi]
• Learning Mixtures of Random Utility ModelsZhibing Zhao, Tristan Villamil, Lirong Xia. 4530-4538 [doi]
• Direct Hashing Without Pseudo-LabelsFeng Zheng, Heng Huang. 4539-4546 [doi]
• Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic MapsKaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao. 4547-4555 [doi]
• Label Distribution Learning by Exploiting Sample Correlations LocallyXiang Zheng, Xiuyi Jia, Weiwei Li. 4556-4563 [doi]
• ATRank: An Attention-Based User Behavior Modeling Framework for RecommendationChang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao. 4564-4571 [doi]
• Budget-Constrained Multi-Armed Bandits With Multiple PlaysDatong P. Zhou, Claire J. Tomlin. 4572-4579 [doi]
• Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light NetGuorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai. 4580-4587 [doi]
• SC2Net: Sparse LSTMs for Sparse CodingJoey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh. 4588-4595 [doi]
• Adaptive Quantization for Deep Neural NetworkYiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard. 4596-4604 [doi]
• Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data AnalysisYuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas J. Spanos. 4605-4612 [doi]
• A Spherical Hidden Markov Model for Semantics-Rich Human Mobility ModelingWanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han 0001. 4613-4620 [doi]
• Weighted Multi-View Spectral Clustering Based on Spectral PerturbationLinlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu. 4621-4629 [doi]
• Learning the Behavior of a Dynamical System Via a "20 Questions" ApproachAbhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns. 4630-4637 [doi]
• Knowledge, Fairness, and Social ConstraintsHaris Aziz 0001, Sylvain Bouveret, Ioannis Caragiannis, Ira Giagkousi, Jérôme Lang. 4638-4645 [doi]
• POMDP-Based Decision Making for Fast Event Handling in VANETsShuo Chen, Athirai Aravazhi Irissappane, Jie Zhang. 4646-4653 [doi]
• An Ant-Based Algorithm to Solve Distributed Constraint Optimization ProblemsZiyu Chen, Tengfei Wu, Yanchen Deng, Cheng Zhang. 4654-4661 [doi]
• Preallocation and Planning Under Stochastic Resource ConstraintsFrits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt. 4662-4669 [doi]
• Manipulative Elicitation - A New Attack on Elections with Incomplete PreferencesPalash Dey. 4670-4677 [doi]
• Control Argumentation FrameworksYannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis. 4678-4685 [doi]
• Decentralised Learning in Systems With Many, Many Strategic AgentsDavid Mguni, Joel Jennings, Enrique Munoz de Cote. 4686-4693 [doi]
• Dilated FCN for Multi-Agent 2D/3D Medical Image RegistrationShun Miao, Sebastien Piat, Peter Walter Fischer, Ahmet Tuysuzoglu, Philip Walter Mewes, Tommaso Mansi, Rui Liao. 4694-4701 [doi]
• Strategic Coalitions With Perfect RecallPavel Naumov, Jia Tao. 4702-4709 [doi]
• The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory EstimationGang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic. 4710-4717 [doi]
• Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic DemandJiang Rong, Tao Qin, Bo An. 4718-4726 [doi]
• Social Norms of Cooperation With Costly Reputation BuildingFernando P. Santos, Jorge M. Pacheco, Francisco C. Santos. 4727-4734 [doi]
• Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With ItDavide Tateo, Jacopo Banfi, Alessandro Riva, Francesco Amigoni, Andrea Bonarini. 4735-4742 [doi]
• Maximizing Influence in an Unknown Social NetworkBryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe. 4743-4750 [doi]
• Integrated Cooperation and Competition in Multi-Agent Decision-MakingKyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein. 4751-4758 [doi]
• Privacy-Preserving Policy Iteration for Decentralized POMDPsFeng Wu, Shlomo Zilberstein, Xiaoping Chen. 4759-4766 [doi]
• HogRider: Champion Agent of Microsoft Malmo Collaborative AI ChallengeYanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An. 4767-4775 [doi]
• Effective Broad-Coverage Deep ParsingJames F. Allen, Omid Bahkshandeh, William de Beaumont, Lucian Galescu, Choh-Man Teng. 4776-4783 [doi]
• Faithful to the Original: Fact Aware Neural Abstractive SummarizationZiqiang Cao, Furu Wei, Wenjie Li, Sujian Li. 4784-4791 [doi]
• Syntax-Directed Attention for Neural Machine TranslationKehai Chen, Rui Wang 0015, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao. 4792-4799 [doi]
• A Semantic QA-Based Approach for Text Summarization EvaluationPing Chen 0001, Fei Wu 0022, Tong Wang, Wei Ding 0003. 4800-4807 [doi]
• Learning Sentiment-Specific Word Embedding via Global Sentiment RepresentationPeng Fu, Zheng Lin, Fengcheng Yuan, Weiping Wang, Dan Meng. 4808-4815 [doi]
• Knowledge Graph Embedding With Iterative Guidance From Soft RulesShu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo. 4816-4823 [doi]
• 280 Birds With One Stone: Inducing Multilingual Taxonomies From Wikipedia Using Character-Level ClassificationAmit Gupta,