Abstract is missing.
- SnapNETS: Automatic Segmentation of Network Sequences with Node LabelsSorour E. Amiri, Liangzhe Chen, B. Aditya Prakash. 3-9 [doi]
- Taming the Matthew Effect in Online Markets with Social InfluenceFranco Berbeglia, Pascal Van Hentenryck. 10-16 [doi]
- A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation AlgorithmDeblina Bhattacharjee, Anand Paul. 17-23 [doi]
- Partitioned Sampling of Public Opinions Based on Their Social DynamicsWeiran Huang, Liang Li, Wei Chen. 24-30 [doi]
- Novel Geometric Approach for Global Alignment of PPI NetworksYangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu 0001. 31-37 [doi]
- Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning ApproachYihui Ma, Jia Jia, Suping Zhou, Jingtian Fu, Yejun Liu, Zijian Tong. 38-44 [doi]
- Profit-Driven Team Grouping in Social NetworksShaoJie Tang. 45-51 [doi]
- Gated Neural Networks for Option Pricing: Rationality by DesignYongxin Yang, Yu Zheng, Timothy M. Hospedales. 52-58 [doi]
- Local Discriminant Hyperalignment for Multi-Subject fMRI Data AlignmentMuhammad Yousefnezhad, Daoqiang Zhang. 59-65 [doi]
- Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR ImagesLequan Yu, Xin Yang, Hao Chen 0011, Jing Qin, Pheng-Ann Heng. 66-72 [doi]
- StructInf: Mining Structural Influence from Social StreamsJing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun. 73-80 [doi]
- Transitive Hashing Network for Heterogeneous Multimedia RetrievalZhangjie Cao, Mingsheng Long, Jianmin Wang 0001, Qiang Yang 0001. 81-87 [doi]
- Marrying Uncertainty and Time in Knowledge GraphsMelisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt. 88-94 [doi]
- TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile LearningAleksandr Farseev, Tat-Seng Chua. 95-101 [doi]
- POI2Vec: Geographical Latent Representation for Predicting Future VisitorsShanshan Feng, Gao Cong, Bo An, Yeow Meng Chee. 102-108 [doi]
- A Dependency-Based Neural Reordering Model for Statistical Machine TranslationChristian Hadiwinoto, Hwee Tou Ng. 109-115 [doi]
- Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node ContentsDongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang. 116-124 [doi]
- Random-Radius Ball Method for Estimating Closeness CentralityWataru Inariba, Takuya Akiba, Yuichi Yoshida. 125-131 [doi]
- Read the Silence: Well-Timed Recommendation via Admixture Marked Point ProcessesHideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda. 132-139 [doi]
- Treatment Effect Estimation with Data-Driven Variable DecompositionKun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang 0001. 140-146 [doi]
- A Declarative Approach to Data-Driven Fact CheckingJulien Leblay. 147-153 [doi]
- Semantic Proximity Search on Heterogeneous Graph by Proximity EmbeddingZemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying. 154-160 [doi]
- Multi-Task Deep Learning for User Intention Understanding in Speech Interaction SystemsYishuang Ning, Jia Jia, Zhiyong Wu, Runnan Li, Yongsheng An, Yanfeng Wang, Helen M. Meng. 161-167 [doi]
- Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network ArchitectureKyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo. 168-174 [doi]
- Radon - Rapid Discovery of Topological RelationsMohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros, Axel-Cyrille Ngonga Ngomo. 175-181 [doi]
- Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual SimilarityXiaoshuai Sun, Jiewei Cao, Chao Li, Lei Zhu, Heng Tao Shen. 182-188 [doi]
- Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective RecommendationZhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon. 189-195 [doi]
- Phrase-Based Presentation Slides Generation for Academic PapersSida Wang, Xiaojun Wan, Shikang Du. 196-202 [doi]
- Community Preserving Network EmbeddingXiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu 0001, Shiqiang Yang. 203-209 [doi]
- CLARE: A Joint Approach to Label Classification and Tag RecommendationYilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li. 210-216 [doi]
- Multiple Source Detection without Knowing the Underlying Propagation ModelZheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye. 217-223 [doi]
- Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural NetworkJufeng Yang, Ming Sun, Xiaoxiao Sun. 224-230 [doi]
- Visual Sentiment Analysis by Attending on Local Image RegionsQuanzeng You, Hailin Jin, Jiebo Luo. 231-237 [doi]
- Correlated Cascades: Compete or CooperateAli Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha. 238-244 [doi]
- Finding Critical Users for Social Network Engagement: The Collapsed k-Core ProblemFan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin. 245-251 [doi]
- Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed AdvertisingJia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun. 252-258 [doi]
- Expectile Matrix Factorization for Skewed Data AnalysisRui Zhu, Di Niu, Linglong Kong, Zongpeng Li. 259-266 [doi]
- Associative Memory Using Dictionary Learning and Expander DecodingArya Mazumdar, Ankit Singh Rawat. 267-273 [doi]
- An Integrated Model for Effective Saliency PredictionXiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen. 274-281 [doi]
- The Efficiency of the HyperPlay Technique Over Random SamplingMichael John Schofield, Michael Thielscher. 282-290 [doi]
- Market Pricing for Data StreamsMelika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami. 291-297 [doi]
- Automated Design of Robust MechanismsMichael Albert, Vincent Conitzer, Peter Stone. 298-304 [doi]
- Incentivising Monitoring in Open Normative SystemsNatasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan. 305-311 [doi]
- Envy-Free Mechanisms with Minimum Number of CutsReza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik. 312-318 [doi]
- Strategic Signaling and Free Information Disclosure in AuctionsShani Alkoby, David Sarne, Igal Milchtaich. 319-327 [doi]
- Complexity of Manipulating Sequential AllocationHaris Aziz, Sylvain Bouveret, Jérôme Lang, Simon Mackenzie. 328-334 [doi]
- Algorithms for Max-Min Share Fair Allocation of Indivisible ChoresHaris Aziz, Gerhard Rauchecker, Guido Schryen, Toby Walsh. 335-341 [doi]
- Nash Stability in Social Distance GamesAlkida Balliu, Michele Flammini, Giovanna Melideo, Dennis Olivetti. 342-348 [doi]
- On Pareto Optimality in Social Distance GamesAlkida Balliu, Michele Flammini, Dennis Olivetti. 349-355 [doi]
- Team-Maxmin Equilibrium: Efficiency Bounds and AlgorithmsNicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti 0001. 356-362 [doi]
- A Study of Compact Reserve Pricing LanguagesMohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni, Saeed Seddighin. 363-368 [doi]
- Faster and Simpler Algorithm for Optimal Strategies of Blotto GameSoheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin. 369-375 [doi]
- Preference Elicitation For Participatory BudgetingGerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah 0001. 376-382 [doi]
- Exclusion Method for Finding Nash Equilibrium in Multiplayer GamesKimmo Berg, Tuomas Sandholm. 383-389 [doi]
- Teams in Online Scheduling Polls: Game-Theoretic AspectsRobert Bredereck, Jiehua Chen, Rolf Niedermeier, Svetlana Obraztsova, Nimrod Talmon. 390-396 [doi]
- Probably Approximately Efficient Combinatorial Auctions via Machine LearningGianluca Brero, Benjamin Lubin, Sven Seuken. 397-405 [doi]
- Phragmén's Voting Methods and Justified RepresentationMarkus Brill, Rupert Freeman, Svante Janson, Martin Lackner. 406-413 [doi]
- Multiwinner Approval Rules as Apportionment MethodsMarkus Brill, Jean-François Laslier, Piotr Skowron. 414-420 [doi]
- Dynamic Thresholding and Pruning for Regret MinimizationNoam Brown, Christian Kroer, Tuomas Sandholm. 421-429 [doi]
- Optimizing Positional Scoring Rules for Rank AggregationIoannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris. 430-436 [doi]
- On Markov Games Played by Bayesian and Boundedly-Rational PlayersMuthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi. 437-4443 [doi]
- Bounded Rationality of Restricted Turing MachinesLijie Chen, Pingzhong Tang, Ruosong Wang. 444-450 [doi]
- Winner Determination in Huge Elections with MapReduceTheresa Csar, Martin Lackner, Reinhard Pichler, Emanuel Sallinger. 451-458 [doi]
- Approximation and Parameterized Complexity of Minimax Approval VotingMarek Cygan, Lukasz Kowalik, Arkadiusz Socala, Krzysztof Sornat. 459-465 [doi]
- The Computational Complexity of Weighted Greedy MatchingArgyrios Deligkas, George B. Mertzios, Paul G. Spirakis. 466-474 [doi]
- Disarmament GamesYuan Deng, Vincent Conitzer. 473-479 [doi]
- The Complexity of Stable Matchings under Substitutable PreferencesYuan Deng, Debmalya Panigrahi, Bo Waggoner. 480-486 [doi]
- Small Representations of Big Kidney Exchange GraphsJohn P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm. 487-493 [doi]
- What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean DomainEdith Elkind, Piotr Faliszewski, Jean-François Laslier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon. 494-501 [doi]
- Extensive-Form Perfect Equilibrium Computation in Two-Player GamesGabriele Farina, Nicola Gatti 0001. 502-508 [doi]
- Selfish KnapsackItai Feigenbaum, Matthew P. Johnson. 509-515 [doi]
- Obvious Strategyproofness Needs Monitoring for Good ApproximationsDiodato Ferraioli, Carmine Ventre. 516-522 [doi]
- Crowdsourced Outcome Determination in Prediction MarketsRupert Freeman, Sébastien Lahaie, David M. Pennock. 523-529 [doi]
- Security Games on a PlaneJiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch. 530-536 [doi]
- Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous AgentsJie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu. 537-543 [doi]
- Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample ComplexityStephen Gross, Elliot Anshelevich, Lirong Xia. 544-550 [doi]
- Computing Least Cores of Supermodular Cooperative GamesDaisuke Hatano, Yuichi Yoshida. 551-557 [doi]
- Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic GamesKarel Horák, Branislav Bosanský, Michal Pechoucek. 558-564 [doi]
- Group Activity Selection on Social NetworksAyumi Igarashi, Dominik Peters, Edith Elkind. 565-571 [doi]
- Resource Graph Games: A Compact Representation for Games with Structured Strategy SpacesAlbert Xin Jiang, Hau Chan, Kevin Leyton-Brown. 572-578 [doi]
- Complexity of the Stable Invitations ProblemHooyeon Lee, Vassilevska Williams. 579-585 [doi]
- Mechanism Design in Social NetworksBin Li, Dong Hao, Dengji Zhao, Tao Zhou. 586-592 [doi]
- Optimal Personalized Defense Strategy Against Man-In-The-Middle AttackXiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An. 593-599 [doi]
- Network, Popularity and Social Cohesion: A Game-Theoretic ApproachJiamou Liu, Ziheng Wei. 600-606 [doi]
- Sequential Peer Prediction: Learning to Elicit Effort using Posted PricesYang Liu, Yiling Chen. 607-613 [doi]
- An Ambiguity Aversion Model for Decision Making under AmbiguityWenjun Ma, Xudong Luo, Yuncheng Jiang. 614-621 [doi]
- Optimal Pricing for Submodular Valuations with Bounded CurvatureTakanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi. 622-628 [doi]
- On Covering Codes and Upper Bounds for the Dimension of Simple GamesMartin Olsen. 629-634 [doi]
- Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree StructureLuis E. Ortiz, Mohammad Tanvir Irfan. 635-641 [doi]
- Recognising Multidimensional Euclidean PreferencesDominik Peters. 642-648 [doi]
- Preferences Single-Peaked on a CircleDominik Peters, Martin Lackner. 649-655 [doi]
- Psychological Forest: Predicting Human BehaviorOri Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz. 656-662 [doi]
- Revenue Maximization for Finitely Repeated Ad AuctionsJiang Rong, Tao Qin, Bo An, Tie-Yan Liu. 663-669 [doi]
- Proportional Justified RepresentationLuis Sánchez Fernández, Edith Elkind, Martin Lackner, Norberto Fernández García, Jesús Arias-Fisteus, Pablo Basanta-Val, Piotr Skowron. 670-676 [doi]
- Achieving Sustainable Cooperation in Generalized Prisoner's Dilemma with Observation ErrorsFuuki Shigenaka, Tadashi Sekiguchi, Atsushi Iwasaki, Makoto Yokoo. 677-683 [doi]
- Mechanism Design for Multi-Type Housing MarketsSujoy Sikdar, Sibel Adali, Lirong Xia. 684-690 [doi]
- Constrained Pure Nash Equilibria in Polymatrix GamesSunil Simon, Dominik Wojtczak. 691-697 [doi]
- Axiomatic Characterization of Game-Theoretic Network CentralitiesOskar Skibski, Tomasz P. Michalak, Talal Rahwan. 698-705 [doi]
- Social Choice Under Metric Preferences: Scoring Rules and STVPiotr Krzysztof Skowron, Edith Elkind. 706-712 [doi]
- Fans Economy and All-Pay Auctions with Proportional AllocationsPingzhong Tang, Yulong Zeng, Song Zuo. 713-719 [doi]
- The Positronic Economist: A Computational System for Analyzing Economic MechanismsDavid R. M. Thompson, Neil Newman, Kevin Leyton-Brown. 720-727 [doi]
- Non-Additive Security GamesSinong Wang, Fang Liu, Ness B. Shroff. 728-735 [doi]
- The Dollar Auction with Spiteful PlayersMarcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings. 736-742 [doi]
- Proper Proxy Scoring RulesJens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause. 743-749 [doi]
- Randomized Mechanisms for Selling Reserved Instances in Cloud ComputingJia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu. 750-757 [doi]
- Embedded Bandits for Large-Scale Black-Box OptimizationAbdullah Al-Dujaili, Sundaram Suresh. 758-764 [doi]
- Reactive Dialectic Search Portfolios for MaxSATCarlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney. 765-772 [doi]
- Efficient Parameter Importance Analysis via Ablation with SurrogatesAndre Biedenkapp, Marius Thomas Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos. 773-779 [doi]
- Problem Difficulty and the Phase Transition in Heuristic SearchEldan Cohen, J. Christopher Beck. 780-786 [doi]
- Automatic Logic-Based Benders Decomposition with MiniZincToby O. Davies, Graeme Gange, Peter J. Stuckey. 787-793 [doi]
- Parallel Asynchronous Stochastic Variance Reduction for Nonconvex OptimizationCong Fang, Zhouchen Lin. 794-800 [doi]
- A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local SearchTobias Friedrich 0001, Timo Kötzing, Markus Wagner 0007. 801-807 [doi]
- The Simultaneous Maze Solving ProblemStefan Funke, André Nusser, Sabine Storandt. 808-814 [doi]
- Going Beyond Primal Treewidth for (M)ILPRobert Ganian, Sebastian Ordyniak, M. S. Ramanujan. 815-821 [doi]
- Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF SurrogatesIlija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker. 822-829 [doi]
- An Exact Algorithm for the Maximum Weight Clique Problem in Large GraphsHua Jiang, Chu Min Li, Felip Manyà. 830-838 [doi]
- Learning to Prune Dominated Action Sequences in Online Black-Box PlanningYuu Jinnai, Alex S. Fukunaga. 839-845 [doi]
- Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover ProblemMaximilian Katzmann, Christian Komusiewicz. 846-852 [doi]
- New Lower Bound for the Minimum Sum Coloring ProblemClément Lecat, Corinne Lucet, Chu Min Li. 853-859 [doi]
- Anytime Anyspace AND/OR Search for Bounding the Partition FunctionQi Lou, Rina Dechter, Alexander T. Ihler. 860-867 [doi]
- Dancing with Decision Diagrams: A Combined Approach to Exact CoverMasaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata. 868-874 [doi]
- Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective DimensionsHong Qian, Yang Yu. 875-881 [doi]
- Automated Data Extraction Using Predictive Program SynthesisMohammad Raza, Sumit Gulwani. 882-890 [doi]
- k NeighborhoodsNicolas Rivera, Carlos Hernández, Jorge A. Baier. 891-897 [doi]
- Non-Monotone DR-Submodular Function MaximizationTasuku Soma, Yuichi Yoshida. 898-904 [doi]
- Regret Ratio Minimization in Multi-Objective Submodular Function MaximizationTasuku Soma, Yuichi Yoshida. 905-911 [doi]
- Value Compression of Pattern DatabasesNathan R. Sturtevant, Ariel Felner, Malte Helmert. 912-918 [doi]
- k-Plexes in Social Network AnalysisMingyu Xiao, Weibo Lin, Yuanshun Dai, Yifeng Zeng. 919-925 [doi]
- p NormChen Xu, Zhouchen Lin, Hongbin Zha. 926-932 [doi]
- Efficient Stochastic Optimization for Low-Rank Distance Metric LearningJie Zhang, Lijun Zhang. 933-940 [doi]
- Examples-Rules Guided Deep Neural Network for Makeup RecommendationTaleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu. 941-947 [doi]
- Predicting Latent Narrative Mood Using Audio and Physiologic DataTuka Waddah AlHanai, Mohammad Mahdi Ghassemi. 948-954 [doi]
- Collaborative Planning with Encoding of Users' High-Level StrategiesJoseph Kim, Christopher J. Banks, Julie A. Shah. 955-962 [doi]
- Long-Term Trends in the Public Perception of Artificial IntelligenceEthan Fast, Eric Horvitz. 963-969 [doi]
- A Theoretical Analysis of First Heuristics of Crowdsourced Entity ResolutionArya Mazumdar, Barna Saha. 970-976 [doi]
- Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing ProcessTakeru Sunahase, Yukino Baba, Hisashi Kashima. 977-984 [doi]
- The Benefit in Free Information Disclosure When Selling Information to PeopleShani Alkoby, David Sarne. 985-992 [doi]
- Psychologically Based Virtual-Suspect for Interrogative Interview TrainingMoshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus. 993-1000 [doi]
- PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and ClusteringHannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park. 1001-1009 [doi]
- JAG: A Crowdsourcing Framework for Joint Assessment and Peer GradingIgor Labutov, Christoph Studer. 1010-1016 [doi]
- On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning SystemsBesmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann. 1017-1025 [doi]
- Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia DataShan Wu, Shangfei Wang, Qiang Ji. 1026-1033 [doi]
- On the Computation of Paracoherent Answer SetsGiovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca. 1034-1040 [doi]
- Polynomially Bounded Logic Programs with Function Symbols: A New DecidableVernon Asuncion, Yan Zhang, Heng Zhang. 1041-1047 [doi]
- Abstraction in Situation Calculus Action TheoriesBita Banihashemi, Giuseppe De Giacomo, Yves Lespérance. 1048-1055 [doi]
- Source Information Disclosure in Ontology-Based Data IntegrationMichael Benedikt, Bernardo Cuenca Grau, Egor V. Kostylev. 1056-1062 [doi]
- Ontology-Mediated Queries for Probabilistic DatabasesStefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz. 1063-1069 [doi]
- Ontology-Based Data Access with a Horn Fragment of Metric Temporal LogicSebastian Brandt, Elem Güzel Kalayci, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev. 1070-1076 [doi]
- Solving Advanced Argumentation Problems with Answer-Set ProgrammingGerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran. 1077-1083 [doi]
- Checking the Consistency of Combined Qualitative Constraint NetworksQuentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau. 1084-1090 [doi]
- Add Data into Business Process Verification: Bridging the Gap between Theory and PracticeRiccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Sergio Tessaris. 1091-1099 [doi]
- Practical TBox Abduction Based on Justification PatternsJianfeng Du, Hai Wan, Huaguan Ma. 1100-1106 [doi]
- The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge GraphsNausheen Fatma, Manoj Kumar Chinnakotla, Manish Shrivastava. 1107-1113 [doi]
- Ontology Materialization by Abstraction Refinement in Horn SHOIFBirte Glimm, Yevgeny Kazakov, Trung-Kien Tran. 1114-1120 [doi]
- Number Restrictions on Transitive Roles in Description Logics with NominalsVíctor Gutiérrez-Basulto, Yazmin Angélica Ibáñez-García, Jean Christoph Jung. 1121-1127 [doi]
- Strategic Sequences of Arguments for Persuasion Using Decision TreesEmmanuel Hadoux, Anthony Hunter. 1128-1134 [doi]
- Preferential Structures for Comparative Probabilistic ReasoningMatthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III. 1135-1141 [doi]
- Query Answering in DL-Lite with Datatypes: A Non-Uniform ApproachAndré Hernich, Julio Lemos, Frank Wolter. 1142-1148 [doi]
- Diagnosability Planning for Controllable Discrete Event SystemsHassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon. 1149-1155 [doi]
- Entropic Causal InferenceMurat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi. 1156-1162 [doi]
- SAT Encodings for Distance-Based Belief Merging OperatorsSébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis. 1163-1169 [doi]
- LPMLN, Weak Constraints, and P-logJoohyung Lee, Zhun Yang. 1170-1177 [doi]
- Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical TaxonomyJiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang. 1178-1184 [doi]
- On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical TaxonomiesJiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang 0009, Pinpin Zhu. 1185-1191 [doi]
- Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic DiscoveryHengyang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie. 1192-1198 [doi]
- The Symbolic Interior Point MethodMartin Mladenov, Vaishak Belle, Kristian Kersting. 1199-1205 [doi]
- Small Is Beautiful: Computing Minimal Equivalent EL ConceptsNadeschda Nikitina, Patrick Koopmann. 1206-1212 [doi]
- Compiling Graph Substructures into Sentential Decision DiagramsMasaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata. 1213-1221 [doi]
- Efficient Evaluation of Answer Set Programs with External Sources Based on External Source InliningChristoph Redl. 1222-1228 [doi]
- On Equivalence and Inconsistency of Answer Set Programs with External SourcesChristoph Redl. 1229-1235 [doi]
- ProjE: Embedding Projection for Knowledge Graph CompletionBaoxu Shi, Tim Weninger. 1236-1242 [doi]
- Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge GraphsYi Tay, Anh Tuan Luu, Siu Cheung Hui. 1243-1249 [doi]
- Causal Discovery Using Regression-Based Conditional Independence TestsHao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan. 1250-1256 [doi]
- An Improved Algorithm for Learning to Perform Exception-Tolerant AbductionMengxue Zhang, Tushar Mathew, Brendan A. Juba. 1257-1265 [doi]
- Trust-Sensitive Evolution of DL-Lite Knowledge BasesDmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks. 1266-1273 [doi]
- Explicit Defense Actions Against Test-Set AttacksScott Alfeld, Xiaojin Zhu 0001, Paul Barford. 1274-1280 [doi]
- Multidimensional Scaling on Multiple Input Distance MatricesSong Bai, Xiang Bai, Longin Jan Latecki, Qi Tian. 1281-1287 [doi]
- ICU Mortality Prediction: A Classification Algorithm for Imbalanced DatasetsSakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava. 1288-1294 [doi]
- GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative FilteringChao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu. 1295-1301 [doi]
- Predicting Soccer Highlights from Spatio-Temporal Match Event StreamsTom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis. 1302-1308 [doi]
- A Hybrid Collaborative Filtering Model with Deep Structure for Recommender SystemsXin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang. 1309-1315 [doi]
- Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item RecommendationLi Gao, Jia Wu, Chuan Zhou, Yue Hu. 1316-1322 [doi]
- Event Video Mashup: From Hundreds of Videos to Minutes of SkeletonLianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen. 1323-1330 [doi]
- Soft Video Parsing by Label Distribution LearningXin Geng, Miaogen Ling. 1331-1337 [doi]
- Active Learning with Cross-Class Similarity TransferYuchen Guo, Guiguang Ding, Yue Gao, Jungong Han. 1338-1344 [doi]
- DeepFix: Fixing Common C Language Errors by Deep LearningRahul Gupta, Soham Pal, Aditya Kanade, Shirish Shevade. 1345-1351 [doi]
- Question Difficulty Prediction for READING Problems in Standard TestsZhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu. 1352-1359 [doi]
- Additional Multi-Touch Attribution for Online AdvertisingWendi Ji, Xiaoling Wang. 1360-1366 [doi]
- Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug InteractionBo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang. 1367-1373 [doi]
- Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage ClassificationXiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen. 1374-1381 [doi]
- Contextual RNN-GANs for Abstract Reasoning Diagram GenerationViveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal. 1382-1388 [doi]
- A Framework for Minimal Clustering Modification via Constraint ProgrammingChia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson. 1389-1395 [doi]
- Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying ProblemYoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein. 1396-1402 [doi]
- ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender SystemsDongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha. 1403-1409 [doi]
- Learning with Feature Network and Label Network SimultaneouslyYingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang. 1410-1416 [doi]
- Collaborative Company Profiling: Insights from an Employee's PerspectiveHao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong. 1417-1423 [doi]
- ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel RedundancyShaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang. 1424-1430 [doi]
- A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain MappingFeng Liu, Shouyi Wang, Jay Rosenberger, Jianzhong Su, Hanli Liu. 1431-1437 [doi]
- On Predictive Patent Valuation: Forecasting Patent Citations and Their TypesXin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu. 1438-1444 [doi]
- Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural NetworksYu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen. 1445-1452 [doi]
- Data-Driven Approximations to NP-Hard ProblemsAnton Milan, Seyed Hamid Rezatofighi, Ravi Garg, Anthony R. Dick, Ian D. Reid 0001. 1453-1459 [doi]
- Predicting Demographics of High-Resolution Geographies with Geotagged TweetsOmar Montasser, Daniel Kifer. 1460-1466 [doi]
- Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix FactorizationArun Reddy Nelakurthi, Jingrui He. 1467-1473 [doi]
- FeaBoost: Joint Feature and Label Refinement for Semantic SegmentationYulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen. 1474-1480 [doi]
- Learning Implicit Tasks for Patient-Specific Risk Modeling in ICUNozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka. 1481-1487 [doi]
- Enabling Dark Energy Science with Deep Generative Models of Galaxy ImagesSiamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos. 1488-1494 [doi]
- Unsupervised Deep Learning for Optical Flow EstimationZhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha. 1495-1501 [doi]
- Low-Rank Linear Cold-Start Recommendation from Social DataSuvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas. 1502-1508 [doi]
- Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear UnitsWenling Shang, Justin Chiu, Kihyuk Sohn. 1509-1516 [doi]
- Portfolio Selection via Subset ResamplingWeiwei Shen, Jun Wang. 1517-1523 [doi]
- Beyond IID: Learning to Combine Non-IID Metrics for Vision TasksYinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen. 1524-1531 [doi]
- Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior PredictionMasamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi. 1532-1538 [doi]
- Neural Programming by ExampleChengxun Shu, Hongyu Zhang. 1539-1545 [doi]
- Simultaneous Clustering and EnsembleZhiqiang Tao, Hongfu Liu, Yun Fu. 1546-1552 [doi]
- A Deep Hierarchical Approach to Lifelong Learning in MinecraftChen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor. 1553-1561 [doi]
- Learning Attributes from the Crowdsourced Relative LabelsTian Tian 0001, Ning Chen, Jun Zhu. 1562-1568 [doi]
- Coupling Implicit and Explicit Knowledge for Customer Volume PredictionJingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong. 1569-1575 [doi]
- Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term EvaluationJinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao 0001. 1576-1582 [doi]
- Multiset Feature Learning for Highly Imbalanced Data ClassificationFei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-yu Yang. 1583-1589 [doi]
- Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet AllocationCao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang. 1590-1596 [doi]
- Modeling the Intensity Function of Point Process Via Recurrent Neural NetworksShuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu. 1597-1603 [doi]
- Progressive Prediction of Student Performance in College ProgramsJie Xu 0001, Yuli Han, Daniel Marcu, Mihaela van der Schaar. 1604-1610 [doi]
- Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync CommentsLinli Xu, Chao Zhang. 1611-1617 [doi]
- Pairwise Relationship Guided Deep Hashing for Cross-Modal RetrievalErkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao. 1618-1625 [doi]
- Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern ClassificationMeng Yang, Lin Chen. 1626-1632 [doi]
- Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound ImagesXin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng. 1633-1639 [doi]
- Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience ReplayHaiyan Yin, Sinno Jialin Pan. 1640-1646 [doi]
- Personalized Donor-Recipient Matching for Organ TransplantationJinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar. 1647-1654 [doi]
- Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows PredictionJunbo Zhang, Yu Zheng, Dekang Qi. 1655-1661 [doi]
- Robust Manifold Matrix Factorization for Joint Clustering and Feature ExtractionLefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You. 1662-1668 [doi]
- Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit FeedbackYan Zhang, Defu Lian, Guowu Yang. 1669-1675 [doi]
- Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial ObservationsKai Zhu, Zhen Chen, Lei Ying. 1676-1683 [doi]
- Learning Bayesian Networks with Incomplete Data by AugmentationTameem Adel, Cassio Polpo de Campos. 1684-1690 [doi]
- Unsupervised Domain Adaptation with a Relaxed Covariate Shift AssumptionTameem Adel, Han Zhao, Alexander Wong. 1691-1697 [doi]
- Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label LearningApoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain 0002. 1698-1704 [doi]
- The Bernstein Mechanism: Function Release under Differential PrivacyFrancesco Aldà, Benjamin I. P. Rubinstein. 1705-1711 [doi]
- Heavy-Tailed Analogues of the Covariance Matrix for ICAJoseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher. 1712-1718 [doi]
- Fast Generalized Distillation for Semi-Supervised Domain AdaptationShuang Ao, Xiang Li, Charles X. Ling. 1719-1725 [doi]
- The Option-Critic ArchitecturePierre-Luc Bacon, Jean Harb, Doina Precup. 1726-1734 [doi]
- Label Efficient Learning by Exploiting Multi-Class Output CodesMaria-Florina Balcan, Travis Dick, Yishay Mansour. 1735-1741 [doi]
- Robust Partially-Compressed Least-SquaresStephen Becker, Ban Kawas, Marek Petrik. 1742-1748 [doi]
- Learning Residual Alternating AutomataSebastian Berndt, Maciej Liskiewicz, Matthias Lutter, Rüdiger Reischuk. 1749-1755 [doi]
- Resource Constrained Structured PredictionTolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama. 1756-1762 [doi]
- Cross-Domain Kernel Induction for Transfer LearningWei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang. 1763-1769 [doi]
- Informative Subspace Learning for Counterfactual InferenceYale Chang, Jennifer G. Dy. 1770-1776 [doi]
- PAC Identification of a Bandit Arm Relative to a Reward QuantileArghya Roy Chaudhuri, Shivaram Kalyanakrishnan. 1777-1783 [doi]
- Classification with Minimax Distance MeasuresMorteza Haghir Chehreghani. 1784-1790 [doi]
- Latent Discriminant Analysis with Representative Feature DiscoveryGang Chen. 1791-1797 [doi]
- Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy SettingLin Chen 0003, Seyed Hamed Hassani, Amin Karbasi. 1798-1804 [doi]
- Sparse Boltzmann Machines with Structure Learning as Applied to Text AnalysisZhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen. 1805-1811 [doi]
- Communication Lower Bounds for Distributed Convex Optimization: Partition Data on FeaturesZihao Chen, Luo Luo, Zhihua Zhang. 1812-1818 [doi]
- OFFER: Off-Environment Reinforcement LearningKamil Andrzej Ciosek, Shimon Whiteson. 1819-1825 [doi]
- Addressing Imbalance in Multi-Label Classification Using Structured Hellinger ForestsZachary Alan Daniels, Dimitris N. Metaxas. 1826-1832 [doi]
- Nonlinear Dynamic Boltzmann Machines for Time-Series PredictionSakyasingha Dasgupta, Takayuki Osogami. 1833-1839 [doi]
- Estimating the Maximum Expected Value in Continuous Reinforcement Learning ProblemsCarlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli. 1840-1846 [doi]
- Scalable Multitask Policy Gradient Reinforcement LearningSalam El Bsat, Haitham Bou-Ammar, Matthew E. Taylor. 1847-1853 [doi]
- From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification ApproachSarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao. 1854-1860 [doi]
- A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal ModelsYusuf Bugra Erol, Yi Wu, Lei Li, Stuart J. Russell. 1861-1869 [doi]
- Structure Regularized Unsupervised Discriminant Feature AnalysisMingyu Fan, Xiaojun Chang, Dacheng Tao. 1870-1876 [doi]
- Self-Paced Learning: An Implicit Regularization PerspectiveYanbo Fan, Ran He, Jian Liang, Bao-Gang Hu. 1877-1883 [doi]
- Deep MIML NetworkJi Feng, Zhi-Hua Zhou. 1884-1890 [doi]
- Modeling Skewed Class Distributions by Reshaping the Concept SpaceKyle D. Feuz, Diane J. Cook. 1891-1897 [doi]
- On Learning High Dimensional Structured Single Index ModelsRavi Ganti, Nikhil S. Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak. 1898-1904 [doi]
- Local Centroids Structured Non-Negative Matrix FactorizationHongchang Gao, Feiping Nie, Heng Huang. 1905-1911 [doi]
- Low-Rank Factorization of Determinantal Point ProcessesMike Gartrell, Ulrich Paquet, Noam Koenigstein. 1912-1918 [doi]
- Robust Loss Functions under Label Noise for Deep Neural NetworksAritra Ghosh, Himanshu Kumar, P. S. Sastry. 1919-1925 [doi]
- Exploring Commonality and Individuality for Multi-Modal Curriculum LearningChen Gong. 1926-1933 [doi]
- MPGL: An Efficient Matching Pursuit Method for Generalized LASSODong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi. 1934-1940 [doi]
- Weighted Bandits or: How Bandits Learn Distorted Values That Are Not ExpectedAditya Gopalan, Prashanth L. A., Michael Fu, Steve Marcus. 1941-1947 [doi]
- Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe AlgorithmXiawei Guo, Quanming Yao, James Tin-Yau Kwok. 1948-1954 [doi]
- Convex Co-Embedding for Matrix Completion with Predictive Side InformationYuhong Guo. 1955-1961 [doi]
- Continuous Conditional Dependency Network for Structured RegressionChao Han, Mohamed F. Ghalwash, Zoran Obradovic. 1962-1968 [doi]
- Bilateral k-Means Algorithm for Fast Co-ClusteringJunwei Han, Kun Song, Feiping Nie, Xuelong Li. 1969-1975 [doi]
- Alternating Back-Propagation for Generator NetworkTian Han, Yang Lu, Song Chun Zhu, Ying Nian Wu. 1976-1984 [doi]
- Enumerate Lasso Solutions for Feature SelectionSatoshi Hara, Takanori Maehara. 1985-1991 [doi]
- Scalable Algorithm for Higher-Order Co-Clustering via Random SamplingDaisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi. 1992-1999 [doi]
- Learning Invariant Deep Representation for NIR-VIS Face RecognitionRan He, Xiang Wu, Zhenan Sun, Tieniu Tan. 2000-2006 [doi]
- A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process RegressionQuang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low. 2007-2014 [doi]
- Semi-Supervised Adaptive Label Distribution Learning for Facial Age EstimationPeng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv. 2015-2021 [doi]
- Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent SystemsBrian Hrolenok, Byron Boots, Tucker Hybinette Balch. 2022-2028 [doi]
- Sequential Classification-Based Optimization for Direct Policy SearchYi-Qi Hu, Hong Qian, Yang Yu. 2029-2035 [doi]
- A Riemannian Network for SPD Matrix LearningZhiwu Huang, Luc J. Van Gool. 2036-2042 [doi]
- Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex OptimizationZhouyuan Huo, Heng Huang. 2043-2049 [doi]
- Learning Unitary Operators with Help From u(n)Stephanie L. Hyland, Gunnar Rätsch. 2050-2058 [doi]
- Denoising Criterion for Variational Auto-Encoding FrameworkDaniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio. 2059-2065 [doi]
- Recovering True Classifier Performance in Positive-Unlabeled LearningShantanu Jain, Martha White, Predrag Radivojac. 2066-2072 [doi]
- Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble PruningZhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu. 2073-2079 [doi]
- Twin Learning for Similarity and Clustering: A Unified Kernel ApproachZhao Kang, Chong Peng, Qiang Cheng. 2080-2086 [doi]
- Tunable Sensitivity to Large Errors in Neural Network TrainingGil Keren, Sivan Sabato, Björn W. Schuller. 2087-2093 [doi]
- Binary Embedding with Additive Homogeneous KernelsSaehoon Kim, Seungjin Choi. 2094-2100 [doi]
- Structured Inference Networks for Nonlinear State Space ModelsRahul G. Krishnan, Uri Shalit, David Sontag. 2101-2109 [doi]
- Estimating Uncertainty Online Against an AdversaryVolodymyr Kuleshov, Stefano Ermon. 2110-2116 [doi]
- Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification PerformanceAtsutoshi Kumagai, Tomoharu Iwata. 2117-2123 [doi]
- Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided ExplorationHimabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz. 2124-2132 [doi]
- Dynamic Action Repetition for Deep Reinforcement LearningAravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran. 2133-2139 [doi]
- Playing FPS Games with Deep Reinforcement LearningGuillaume Lample, Devendra Singh Chaplot. 2140-2146 [doi]
- Transfer Reinforcement Learning with Shared DynamicsRomain Laroche, Merwan Barlier. 2147-2153 [doi]
- Transfer Learning for Deep Learning on Graph-Structured DataJaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon. 2154-2160 [doi]
- Efficient Online Model Adaptation by Incremental Simplex TableauZhixian Lei, Xuehan Ye, Yongcai Wang, Deying Li, Jia Xu. 2161-2167 [doi]
- Multivariate Hawkes Processes for Large-Scale InferenceRémi Lemonnier, Kevin Scaman, Argyris Kalogeratos. 2168-2174 [doi]
- Self-Paced Multi-Task LearningChangsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha. 2175-2181 [doi]
- Infinitely Many-Armed Bandits with Budget ConstraintsHaifang Li, Yingce Xia. 2182-2188 [doi]
- Sparse Subspace Clustering by Learning Approximation ℓ0 CodesJun Li, Yu Kong, Yun Fu. 2189-2195 [doi]
- Riemannian Submanifold Tracking on Low-Rank Algebraic VarietyQian Li, Zhichao Wang. 2196-2202 [doi]
- Large Graph Hashing with Spectral RotationXuelong Li, Di Hu, Feiping Nie. 2203-2209 [doi]
- Low-Rank Tensor Completion with Total Variation for Visual Data InpaintingXutao Li, Yunming Ye, Xiaofei Xu. 2210-2216 [doi]
- Learning Safe Prediction for Semi-Supervised RegressionYu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou. 2217-2223 [doi]
- A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk AnalysisZhe Li, Tianbao Yang, Lijun Zhang 0005, Rong Jin. 2224-2230 [doi]
- Balanced Clustering with Least Square RegressionHanyang Liu, Junwei Han, Feiping Nie, Xuelong Li. 2231-2237 [doi]
- Ordinal Constrained Binary Code Learning for Nearest Neighbor SearchHong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang. 2238-2244 [doi]
- Sparse Deep Transfer Learning for Convolutional Neural NetworkJiaming Liu, Yali Wang, Yu Qiao 0001. 2245-2251 [doi]
- Cost-Sensitive Feature Selection via F-Measure Optimization ReductionMeng Liu, Chang Xu, Yong Luo, Chao Xu 0006, Yonggang Wen, Dacheng Tao. 2252-2258 [doi]
- Multiple Kernel k-Means with Incomplete KernelsXinwang Liu, Miaomiao Li, Lei Wang 0001, Yong Dou, Jianping Yin, En Zhu. 2259-2265 [doi]
- Optimal Neighborhood Kernel Clustering with Multiple KernelsXinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin. 2266-2272 [doi]
- Generalization Analysis for Ranking Using Integral OperatorYong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang. 2273-2279 [doi]
- Infinite Kernel Learning: Generalization Bounds and AlgorithmsYong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang. 2280-2286 [doi]
- Accelerated Variance Reduced Stochastic ADMMYuanyuan Liu, Fanhua Shang, James Cheng. 2287-2293 [doi]
- Semi-Supervised Classifications via Elastic and Robust EmbeddingYun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang. 2294-2300 [doi]
- Approximate Conditional Gradient Descent on Multi-Class ClassificationZhuanghua Liu, Ivor Tsang. 2301-2307 [doi]
- Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic ModelingMinnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng. 2308-2314 [doi]
- Active Search for Sparse Signals with Region SensingYifei Ma, Roman Garnett, Jeff G. Schneider. 2315-2321 [doi]
- Where to Add Actions in Human-in-the-Loop Reinforcement LearningTravis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovic. 2322-2328 [doi]
- Asynchronous Stochastic Proximal Optimization Algorithms with Variance ReductionQi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu. 2329-2335 [doi]
- Generalization Error Bounds for Optimization Algorithms via StabilityQi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu. 2336-2342 [doi]
- When and Why Are Deep Networks Better Than Shallow Ones?Hrushikesh Mhaskar, Qianli Liao, Tomaso A. Poggio. 2343-2349 [doi]
- Lifted Inference for Convex Quadratic ProgramsMartin Mladenov, Leonard Kleinhans, Kristian Kersting. 2350-2356 [doi]
- Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson DistributionsAlejandro Molina, Sriraam Natarajan, Kristian Kersting. 2357-2363 [doi]
- Deep Collective InferenceJohn Moore, Jennifer Neville. 2364-2372 [doi]
- Streaming Classification with Emerging New Class by Class Matrix SketchingXin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou. 2373-2379 [doi]
- Deep Hashing: A Joint Approach for Image Signature LearningYadong Mu, Zhu Liu. 2380-2386 [doi]
- Tsallis Regularized Optimal Transport and Ecological InferenceBoris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen. 2387-2393 [doi]
- The Multivariate Generalised von Mises Distribution: Inference and ApplicationsAlexandre K. W. Navarro, Jes Frellsen, Richard E. Turner. 2394-2400 [doi]
- Querying Partially Labelled Data to Improve a K-nn ClassifierVu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson. 2401-2407 [doi]
- Multi-View Clustering and Semi-Supervised Classification with Adaptive NeighboursFeiping Nie, Guohao Cai, Xuelong Li. 2408-2414 [doi]
- Multiclass Capped ℓp-Norm SVM for Robust ClassificationsFeiping Nie, Xiaoqian Wang, Heng Huang. 2415-2421 [doi]
- Unsupervised Large Graph EmbeddingFeiping Nie, Wei Zhu, Xuelong Li. 2422-2428 [doi]
- Matching Node Embeddings for Graph SimilarityGiannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis. 2429-2435 [doi]
- n) BarrierU. N. Niranjan, Arun Rajkumar. 2436-2442 [doi]
- Active Search in Intensionally Specified Structured SpacesDino Oglic, Roman Garnett, Thomas Gärtner. 2443-2449 [doi]
- Top-k Hierarchical ClassificationSechan Oh. 2450-2456 [doi]
- Unimodal Thompson Sampling for Graph-Structured ArmsStefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti 0001. 2457-2463 [doi]
- Accelerated Gradient Temporal Difference LearningYangchen Pan, Adam M. White, Martha White. 2464-2470 [doi]
- A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square MinimizationHanyang Peng, Yong Fan. 2471-2477 [doi]
- Cascade Subspace ClusteringXi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi. 2478-2484 [doi]
- Column Networks for Collective ClassificationTrang Pham, Truyen Tran 0001, Dinh Q. Phung, Svetha Venkatesh. 2485-2491 [doi]
- A General Clustering Agreement Index: For Comparing Disjoint and Overlapping ClustersReihaneh Rabbany, Osmar R. Zaïane. 2492-2498 [doi]
- Non-Negative Inductive Matrix Completion for Discrete Dyadic DataPiyush Rai. 2499-2505 [doi]
- Online Active Linear Regression via ThresholdingCarlos Riquelme, Ramesh Johari, Baosen Zhang. 2506-2512 [doi]
- Adaptive Proximal Average Approximation for Composite Convex MinimizationLi Shen, Wei Liu, JunZhou Huang, Yu-Gang Jiang, Shiqian Ma. 2513-2519 [doi]
- Random Features for Shift-Invariant Kernels with Moment MatchingWeiwei Shen, Zhihui Yang, Jun Wang. 2520-2526 [doi]
- Compressed K-Means for Large-Scale ClusteringXiao-Bo Shen, Weiwei Liu, Ivor Tsang, Fumin Shen, Quan-Sen Sun. 2527-2533 [doi]
- Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural NetworksXu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao. 2534-2540 [doi]
- Asymmetric Discrete Graph HashingXiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang. 2541-2547 [doi]
- Spectral Clustering with Brainstorming Process for Multi-View DataJeong Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim. 2548-2554 [doi]
- Parameter Free Large Margin Nearest Neighbor for Distance Metric LearningKun Song, Feiping Nie, Junwei Han, Xuelong Li. 2555-2561 [doi]
- Multilinear Regression for Embedded Feature Selection with Application to fMRI AnalysisXiaonan Song, Haiping Lu. 2562-2568 [doi]
- Distributed Negative Sampling for Word EmbeddingsStergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis. 2569-2575 [doi]
- Label-Free Supervision of Neural Networks with Physics and Domain KnowledgeRussell Stewart, Stefano Ermon. 2576-2582 [doi]
- Unsupervised Learning with Truncated Gaussian Graphical ModelsQinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin. 2583-2589 [doi]
- Automatic Curriculum Graph Generation for Reinforcement Learning AgentsMaxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone. 2590-2596 [doi]
- Self-Correcting Models for Model-Based Reinforcement LearningErik Talvitie. 2597-2603 [doi]
- Distant Domain Transfer LearningBen Tan, Yu Zhang 0006, Sinno Jialin Pan, Qiang Yang 0001. 2604-2610 [doi]
- Confidence-Rated Discriminative Partial Label LearningCai-Zhi Tang, Min-Ling Zhang. 2611-2617 [doi]
- Cross-Domain Ranking via Latent Space LearningJie Tang, Wendy Hall. 2618-2624 [doi]
- How to Train a Compact Binary Neural Network with High Accuracy?Wei Tang, Gang Hua, Liang Wang 0001. 2625-2631 [doi]
- Policy Search with High-Dimensional Context VariablesVoot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters 0001, Masashi Sugiyama. 2632-2638 [doi]
- Coactive Critiquing: Elicitation of Preferences and FeaturesStefano Teso, Paolo Dragone, Andrea Passerini. 2639-2645 [doi]
- Importance Sampling with Unequal SupportPhilip S. Thomas, Emma Brunskill. 2646-2652 [doi]
- Achieving Privacy in the Adversarial Multi-Armed BanditAristide Charles Yedia Tossou, Christos Dimitrakakis. 2653-2659 [doi]
- Thompson Sampling for Stochastic Bandits with Graph FeedbackAristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi. 2660-2666 [doi]
- Selecting Sequences of Items via Submodular MaximizationSebastian Tschiatschek, Adish Singla, Andreas Krause 0001. 2667-2673 [doi]
- Variable Kernel Density Estimation in High-Dimensional Feature SpacesChristiaan Maarten van der Walt, Etienne Barnard. 2674-2680 [doi]
- Regularization for Unsupervised Deep Neural NetsBaiyang Wang, Diego Klabjan. 2681-2687 [doi]
- Relational Deep Learning: A Deep Latent Variable Model for Link PredictionHao Wang 0014, Xingjian Shi, Dit-Yan Yeung. 2688-2694 [doi]
- Factorization Bandits for Interactive RecommendationHuazheng Wang, Qingyun Wu, Hongning Wang. 2695-2702 [doi]
- Latent Smooth Skeleton EmbeddingLi Wang, Qi Mao, Ivor W. Tsang. 2703-2709 [doi]
- Polynomial Optimization Methods for Matrix FactorizationPo-Wei Wang, Chun-Liang Li, J. Zico Kolter. 2710-2717 [doi]
- Two-Dimensional PCA with F-Norm MinimizationQianqian Wang, Quanxue Gao. 2718-2724 [doi]
- Feature Selection Guided Auto-EncoderShuyang Wang, Zhengming Ding, Yun Fu. 2725-2731 [doi]
- Fredholm Multiple Kernel Learning for Semi-Supervised Domain AdaptationWei Wang, Hao Wang, Chen Zhang, Yang Gao. 2732-2738 [doi]
- Fast Online Incremental Learning on Mixture Streaming DataYi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo. 2739-2745 [doi]
- Efficient Ordered Combinatorial Semi-Bandits for Whole-Page RecommendationYingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang. 2746-2753 [doi]
- Unbiased Multivariate Correlation AnalysisYisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia. 2754-2760 [doi]
- Beyond RPCA: Flattening Complex Noise in the Frequency DomainYunhe Wang, Chang Xu, Chao Xu 0006, Dacheng Tao. 2761-2767 [doi]
- k-Fold Cross-Validation by Alpha SeedingZeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang 0003. 2768-2774 [doi]
- Rank Ordering Constraints Elimination with Application for Kernel LearningYing Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu. 2775-2781 [doi]
- Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions ProgrammingHai-ming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang. 2782-2788 [doi]
- Cleaning the Null Space: A Privacy Mechanism for PredictorsKe Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer. 2789-2795 [doi]
- Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk GuaranteeYi Xu, Haiqin Yang, Lijun Zhang 0005, Tianbao Yang. 2796-2802 [doi]
- A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse LearningZheng Xu 0005, JunZhou Huang. 2803-2809 [doi]
- Multi-View Correlated Feature Learning by Uncovering Shared ComponentXiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao. 2810-2816 [doi]
- A Framework of Online Learning with Imbalanced Streaming DataYan Yan, Tianbao Yang, Yi Yang, Jianhui Chen. 2817-2823 [doi]
- TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health RecordsKai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang. 2824-2830 [doi]
- Deep Learning for Fixed Model ReuseYang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou. 2831-2837 [doi]
- Learning Deep Latent Space for Multi-Label ClassificationChih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang. 2838-2844 [doi]
- A Unified Algorithm for One-Cass Structured Matrix Factorization with Side InformationHsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin. 2845-2851 [doi]
- SeqGAN: Sequence Generative Adversarial Nets with Policy GradientLantao Yu, Weinan Zhang, Jun Wang, Yong Yu. 2852-2858 [doi]
- CBRAP: Contextual Bandits with RAndom ProjectionXiaotian Yu, Michael R. Lyu, Irwin King. 2859-2866 [doi]
- An Exact Penalty Method for Binary Optimization Based on MPEC FormulationGanzhao Yuan, Bernard Ghanem. 2867-2875 [doi]
- Scalable Feature Selection via Distributed Diversity MaximizationSepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam. 2876-2883 [doi]
- Fast Compressive Phase Retrieval under Bounded NoiseHongyang Zhang, Shan You, Zhouchen Lin, Chao Xu. 2884-2890 [doi]
- Query-Efficient Imitation Learning for End-to-End Simulated DrivingJiakai Zhang, KyungHyun Cho. 2891-2897 [doi]
- Growing Interpretable Part Graphs on ConvNets via Multi-Shot LearningQuanshi Zhang, Ruiming Cao, Ying Nian Wu, Song Chun Zhu. 2898-2906 [doi]
- Universum Prescription: Regularization Using Unlabeled DataXiang Zhang, Yann LeCun. 2907-2913 [doi]
- Learning Sparse Task Relations in Multi-Task LearningYu Zhang, Qiang Yang 0001. 2914-2920 [doi]
- Multi-View Clustering via Deep Matrix FactorizationHandong Zhao, Zhengming Ding, Yun Fu. 2921-2927 [doi]
- SCOPE: Scalable Composite Optimization for Learning on SparkShen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li. 2928-2934 [doi]
- Lock-Free Optimization for Non-Convex ProblemsShen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li. 2935-2941 [doi]
- Scalable Graph Embedding for Asymmetric ProximityChang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao. 2942-2948 [doi]
- Bilinear Probabilistic Canonical Correlation Analysis via Hybrid ConcatenationsYang Zhou, Haiping Lu, Yiu-ming Cheung. 2949-2955 [doi]
- Parametric Dual Maximization for Non-Convex Learning ProblemsYuxun Zhou, Zhaoyi Kang, Costas J. Spanos. 2956-2962 [doi]
- One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and SubspaceXiaofeng Zhu, Wei He, Yonggang Li, Yang Yang 0002, Shichao Zhang, Rongyao Hu, Yonghua Zhu. 2963-2969 [doi]
- Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image ClassificationXiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu. 2970-2976 [doi]
- Discover Multiple Novel Labels in Multi-Instance Multi-Label LearningYue Zhu, Kai Ming Ting, Zhi-Hua Zhou. 2977-2984 [doi]
- Improving Surveillance Using Cooperative Target ObservationRashi Aswani, Sai Krishna Munnangi, Praveen Paruchuri. 2985-2991 [doi]
- Query Complexity of Tournament SolutionsPalash Dey. 2992-2998 [doi]
- Centralized versus Personalized Commitments and Their Influence on Cooperation in Group InteractionsThe Anh Han, Luís Moniz Pereira, Luis A. Martinez-Vaquero, Tom Lenaerts. 2999-3005 [doi]
- Kont: Computing Tradeoffs in Normative Multiagent SystemsÖzgür Kafali, Nirav Ajmeri, Munindar P. Singh. 3006-3012 [doi]
- Parameterised Verification of Infinite State Multi-Agent Systems via Predicate AbstractionPanagiotis Kouvaros, Alessio Lomuscio. 3013-3020 [doi]
- Decentralized Planning in Stochastic Environments with Submodular RewardsRajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar. 3021-3028 [doi]
- Solving Seven Open Problems of Offline and Online Control in Borda ElectionsMarc Neveling, Jörg Rothe. 3029-3035 [doi]
- Collective Multiagent Sequential Decision Making Under UncertaintyDuc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau. 3036-3043 [doi]
- Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria SettingIgor Rochlin, David Sarne, Maytal Bremer, Ben Grynhaus. 3044-3052 [doi]
- Improving Multi-Document Summarization via Text ClassificationZiqiang Cao, Wenjie Li, Sujian Li, Furu Wei. 3053-3059 [doi]
- Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity DescriptionsGuoliang Ji, Kang Liu 0001, Shizhu He, Jun Zhao 0001. 3060-3066 [doi]
- Neural Bag-of-NgramsBofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du. 3067-3074 [doi]
- SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of DocumentsRamesh Nallapati, Feifei Zhai, Bowen Zhou. 3075-3081 [doi]
- Unit Dependency Graph and Its Application to Arithmetic Word Problem SolvingSubhro Roy, Dan Roth. 3082-3088 [doi]
- Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and SystemsSaku Sugawara, Hikaru Yokono, Akiko Aizawa. 3089-3096 [doi]
- Neural Machine Translation with ReconstructionZhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li. 3097-3103 [doi]
- SSP: Semantic Space Projection for Knowledge Graph Embedding with Text DescriptionsHan Xiao 0005, Minlie Huang, Lian Meng, Xiaoyan Zhu. 3104-3110 [doi]
- Efficiently Answering Technical Questions - A Knowledge Graph ApproachShuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen. 3111-3118 [doi]
- Incorporating Knowledge Graph Embeddings into Topic ModelingLiang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen. 3119-3126 [doi]
- A Context-Enriched Neural Network Method for Recognizing Lexical EntailmentKun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv. 3127-3134 [doi]
- Bayesian Neural Word EmbeddingOren Barkan. 3135-3143 [doi]
- Improving Word Embeddings with Convolutional Feature Learning and Subword InformationShaosheng Cao, Wei Lu. 3144-3151 [doi]
- Joint Copying and Restricted Generation for ParaphraseZiqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li. 3152-3158 [doi]
- Unsupervised Learning of Evolving Relationships Between Literary CharactersSnigdha Chaturvedi, Mohit Iyyer, Hal Daumé III. 3159-3165 [doi]
- Translation Prediction with Source Dependency-Based Context RepresentationKehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu. 3166-3172 [doi]
- Maximum Reconstruction Estimation for Generative Latent-Variable ModelsYong Cheng, Yang Liu, Wei Xu. 3173-3179 [doi]
- Incorporating Expert Knowledge into Keyphrase ExtractionSujatha Das Gollapalli, Xiao-Li Li, Peng Yang. 3180-3187 [doi]
- Unsupervised Learning for Lexicon-Based ClassificationJacob Eisenstein. 3188-3194 [doi]
- Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal KnowledgeMatt Gardner, Jayant Krishnamurthy. 3195-3201 [doi]
- Geometry of CompositionalityHongyu Gong, Suma Bhat, Pramod Viswanath. 3202-3208 [doi]
- Disambiguating Spatial Prepositions Using Deep Convolutional NetworksKaveh Hassani, Won-Sook Lee. 3209-3215 [doi]
- A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social MediaHangfeng He, Xu Sun. 3216-3222 [doi]
- Recurrent Attentional Topic ModelShuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang. 3223-3229 [doi]
- Representations of Context in Recognizing the Figurative and Literal Usages of IdiomsChangsheng Liu, Rebecca Hwa. 3230-3236 [doi]
- Deterministic Attention for Sequence-to-Sequence Constituent ParsingChunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita. 3237-3243 [doi]
- S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability DistributionsXianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen. 3244-3251 [doi]
- Coherent Dialogue with Attention-Based Language ModelsHongyuan Mei, Mohit Bansal, Matthew R. Walter. 3252-3258 [doi]
- Definition Modeling: Learning to Define Word Embeddings in Natural LanguageThanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey. 3259-3266 [doi]
- Incrementally Learning the Hierarchical Softmax Function for Neural Language ModelsHao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu. 3267-3273 [doi]
- Condensed Memory Networks for Clinical Diagnostic InferencingAaditya Prakash, Siyuan Zhao, Sadid A. Hasan, Vivek Datla, Kathy Lee, Ashequl Qadir, Joey Liu, Oladimeji Farri. 3274-3280 [doi]
- Robsut Wrod Reocginiton via Semi-Character Recurrent Neural NetworkKeisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme. 3281-3287 [doi]
- Multiresolution Recurrent Neural Networks: An Application to Dialogue Response GenerationIulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville. 3288-3294 [doi]
- A Hierarchical Latent Variable Encoder-Decoder Model for Generating DialoguesIulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio. 3295-3301 [doi]
- Lattice-Based Recurrent Neural Network Encoders for Neural Machine TranslationJinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu. 3302-3308 [doi]
- Semantic Parsing with Neural Hybrid TreesRaymond Hendy Susanto, Wei Lu. 3309-3315 [doi]
- Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion TermsWenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao. 3316-3322 [doi]
- Dual-Clustering Maximum Entropy with Application to Classification and Word EmbeddingXiaolong Wang, Jingjing Wang, ChengXiang Zhai. 3323-3329 [doi]
- Neural Machine Translation Advised by Statistical Machine TranslationXing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang. 3330-3336 [doi]
- A Dynamic Window Neural Network for CCG SupertaggingHuijia Wu, Jiajun Zhang, Chengqing Zong. 3337-3343 [doi]
- Distinguish Polarity in Bag-of-Words VisualizationYusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary. 3344-3350 [doi]
- Topic Aware Neural Response GenerationChen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma. 3351-3357 [doi]
- Variational Autoencoder for Semi-Supervised Text ClassificationWeidi Xu, Haoze Sun, Chao Deng, Ying Tan. 3358-3364 [doi]
- Neural Models for Sequence ChunkingFeifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou. 3365-3371 [doi]
- BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase EmbeddingsBiao Zhang, Deyi Xiong, Jinsong Su. 3372-3378 [doi]
- Bilingual Lexicon Induction from Non-Parallel Data with Minimal SupervisionMeng Zhang, Haoruo Peng, Yang Liu, Huan-Bo Luan, Maosong Sun. 3379-3385 [doi]
- Active Discriminative Text Representation LearningYe Zhang, Matthew Lease, Byron C. Wallace. 3386-3392 [doi]
- Learning Context-Specific Word/Character EmbeddingsXiaoqing Zheng, JiangTao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang. 3393-3399 [doi]
- Mechanism-Aware Neural Machine for Dialogue Response GenerationGanbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He. 3400-3407 [doi]
- Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured CorporaLidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen. 3408-3414 [doi]
- Using Discourse Signals for Robust Instructor Intervention PredictionMuthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman. 3415-3421 [doi]
- Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence CompressionYanju Chen, Rong Pan. 3422-3428 [doi]
- Unsupervised Sentiment Analysis with Signed Social NetworksKewei Cheng, Jundong Li, Jiliang Tang, Huan Liu. 3429-3435 [doi]
- Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target ExtractionYing Ding, Jianfei Yu, Jing Jiang. 3436-3442 [doi]
- Distant Supervision via Prototype-Based Global Representation LearningXianpei Han, Le Sun. 3443-3449 [doi]
- What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTMLinmei Hu, Juanzi Li, Liqiang Nie, Xiao-Li Li, Chao Shao. 3450-3456 [doi]
- Efficient Dependency-Guided Named Entity RecognitionZhanming Jie, Aldrian Obaja Muis, Wei Lu. 3457-3465 [doi]
- Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural NetworksCanasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka. 3466-3473 [doi]
- Efficiently Mining High Quality Phrases from TextsBing Li, Xiaochun Yang, Bin Wang, Wei Cui. 3474-3481 [doi]
- Learning Latent Sentiment Scopes for Entity-Level Sentiment AnalysisHao Li, Wei Lu. 3482-3489 [doi]
- Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many MappingsNana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu. 3490-3496 [doi]
- Salience Estimation via Variational Auto-Encoders for Multi-Document SummarizationPiji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing. 3497-3503 [doi]
- Collaborative User Clustering for Short Text StreamsShangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas. 3504-3510 [doi]
- Word Embedding Based Correlation Model for Question/Answer MatchingYikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong. 3511-3517 [doi]
- Greedy Flipping for Constrained Word DeletionJin-ge Yao, Xiaojun Wan. 3518-3524 [doi]
- Attentive Interactive Neural Networks for Answer Selection in Community Question AnsweringXiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang. 3525-3531 [doi]
- Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network LearningZhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang. 3532-3539 [doi]
- Plan Reordering and Parallel Execution - A Parameterized Complexity ViewMeysam Aghighi, Christer Bäckström. 3540-3546 [doi]
- Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal LogicAlessandro Cimatti, Andrea Micheli, Marco Roveri. 3547-3554 [doi]
- f-Based Trace AlignmentChen Xu, Zhouchen Lin, Hongbin Zhaf. 3555-3561 [doi]
- Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPsFrits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan. 3562-3568 [doi]
- Optimizing Quantiles in Preference-Based Markov Decision ProcessesHugo Gilbert, Paul Weng, Yan Xu. 3569-3575 [doi]
- An Analysis of Monte Carlo Tree SearchSteven James, George Konidaris, Benjamin Rosman. 3576-3582 [doi]
- An Efficient Approach to Model-Based Hierarchical Reinforcement LearningZhuoru Li, Akshay Narayan, Tze-Yun Leong. 3583-3589 [doi]
- Best-First Width Search: Exploration and Exploitation in Classical PlanningNir Lipovetzky, Hector Geffner. 3590-3596 [doi]
- Robust Execution of Probabilistic Temporal PlansKyle Lund, Sam Dietrich, Scott Chow, James C. Boerkoel. 3597-3604 [doi]
- Multi-Agent Path Finding with Delay ProbabilitiesHang Ma 0001, T. K. Satish Kumar, Sven Koenig. 3605-3612 [doi]
- Logical Filtering and Smoothing: State Estimation in Partially Observable DomainsBrent Mombourquette, Christian J. Muise, Sheila A. McIlraith. 3613-3621 [doi]
- Landmark-Based Heuristics for Goal RecognitionRamon Fraga Pereira, Nir Oren, Felipe Meneguzzi. 3622-3628 [doi]
- Fast SSP Solvers Using Short-Sighted LabelingLuis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein. 3629-3635 [doi]
- Higher-Dimensional Potential Heuristics for Optimal Classical PlanningFlorian Pommerening, Malte Helmert, Blai Bonet. 3636-3643 [doi]
- Schematic Invariants by Reduction to Ground InvariantsJussi Rintanen. 3644-3650 [doi]
- Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical PlanningJendrik Seipp, Thomas Keller 0001, Malte Helmert. 3651-3657 [doi]
- Incorporating Domain-Independent Planning Heuristics in Hierarchical PlanningVikas Shivashankar, Ron Alford, David W. Aha. 3658-3664 [doi]
- Computational Issues in Time-Inconsistent PlanningPingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu. 3665-3671 [doi]
- Accelerated Vector Pruning for Optimal POMDP SolversErwin Walraven, Matthijs T. J. Spaan. 3672-3678 [doi]
- When to Reset Your Keys: Optimal Timing of Security Updates via LearningZizhan Zheng, Ness B. Shroff, Prasant Mohapatra. 3679-3685 [doi]
- Human-Aware Plan RecognitionHankz Hankui Zhuo. 3686-3693 [doi]
- Minimal Undefinedness for Fuzzy Answer SetsMario Alviano, Giovanni Amendola, Rafael Peñaloza. 3694-3700 [doi]
- Open-Universe Weighted Model CountingVaishak Belle. 3701-3708 [doi]
- Deterministic versus Probabilistic Methods for Searching for an Evasive TargetSara Bernardini, Maria Fox, Derek Long, Chiara Piacentini. 3709-3715 [doi]
- Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite TracesAlberto Camacho, Eleni Triantafillou, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith. 3716-3724 [doi]
- Optimizing Expectation with Guarantees in POMDPsKrishnendu Chatterjee, Petr Novotný 0001, Guillermo A. Pérez, Jean-François Raskin, Dorde Zikelic. 3725-3732 [doi]
- Latent Dependency Forest ModelsShanbo Chu, Yong Jiang, Kewei Tu. 3733-3739 [doi]
- Causal Effect Identification by Adjustment under Confounding and Selection BiasesJuan D. Correa, Elias Bareinboim. 3740-3746 [doi]
- The Linearization of Belief Propagation on Pairwise Markov Random FieldsWolfgang Gatterbauer. 3747-3753 [doi]
- The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least SquaresGregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann. 3754-3760 [doi]
- Misspecified Linear BanditsAvishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan. 3761-3767 [doi]
- Reasoning about Cognitive Trust in Stochastic Multiagent SystemsXiaowei Huang, Marta Zofia Kwiatkowska. 3768-3774 [doi]
- Anytime Best+Depth-First Search for Bounding Marginal MAPRadu Marinescu 0002, Junkyu Lee, Alexander T. Ihler, Rina Dechter. 3775-3782 [doi]
- Multi-Objective Influence Diagrams with Possibly Optimal PoliciesRadu Marinescu 0002, Abdul Razak, Nic Wilson. 3783-3789 [doi]
- Hindsight Optimization for Hybrid State and Action MDPsAswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern. 3790-3796 [doi]
- I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor BehaviorFelix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf. 3797-3803 [doi]
- Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order PenaltiesZhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel. 3804-3811 [doi]
- Deep Learning Quadcopter Control via Risk-Aware Active LearningOlov Andersson, Mariusz Wzorek, Patrick Doherty. 3812-3818 [doi]
- Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile RobotPaul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn. 3819-3826 [doi]
- Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy MapsVitor Campanholo Guizilini, Fabio Tozeto Ramos. 3827-3833 [doi]
- Grounded Action Transformation for Robot Learning in SimulationJosiah P. Hanna, Peter Stone. 3834-3840 [doi]
- A Diversified Generative Latent Variable Model for WiFi-SLAMHao Xiong, Dacheng Tao. 3841-3847 [doi]
- Associate Latent Encodings in Learning from DemonstrationsHang Yin, Francisco S. Melo, Aude Billard, Ana Paiva. 3848-3854 [doi]
- Dynamically Constructed (PO)MDPs for Adaptive Robot PlanningShiQi Zhang, Piyush Khandelwal, Peter Stone. 3855-3863 [doi]
- A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability ProblemThomas Caridroit, Jean-Marie Lagniez, Daniel Le Berre, Tiago De Lima, Valentin Montmirail. 3864-3870 [doi]
- A BTP-Based Family of Variable Elimination Rules for Binary CSPsAchref El Mouelhi. 3871-3877 [doi]
- Algorithms for Deciding Counting Quantifiers over Unary PredicatesMarcelo Finger, Glauber De Bona. 3878-3884 [doi]
- Maximum Model CountingDaniel J. Fremont, Markus N. Rabe, Sanjit A. Seshia. 3885-3892 [doi]
- Phase Transitions for Scale-Free SAT FormulasTobias Friedrich 0001, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton. 3893-3899 [doi]
- The Opacity of BackbonesLane A. Hemaspaandra, David E. Narváez. 3900-3906 [doi]
- Between Subgraph Isomorphism and Maximum Common SubgraphRuth Hoffmann, Ciaran McCreesh, Craig Reilly. 3907-3914 [doi]
- Should Algorithms for Random SAT and Max-SAT Be Different?Sixue Liu, Gerard de Melo. 3915-3921 [doi]
- Soft and Cost MDD PropagatorsGuillaume Perez, Jean-Charles Régin. 3922-3928 [doi]
- Rigging Nearly Acyclic Tournaments Is Fixed-Parameter TractableM. S. Ramanujan, Stefan Szeider. 3929-3935 [doi]
- RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch ProblemSaeedeh Shekarpour, Edgard Marx, Sören Auer, Amit P. Sheth. 3936-3943 [doi]
- CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP SolverCornelis Jan van Leeuwen, Przemyslaw Pawelczak. 3944-3950 [doi]
- Extending Compact-Table to Negative and Short TablesHélène Verhaeghe, Christophe Lecoutre, Pierre Schaus. 3951-3957 [doi]
- General Bounds on Satisfiability Thresholds for Random CSPs via Fourier AnalysisColin Wei, Stefano Ermon. 3958-3966 [doi]
- Regularized Diffusion Process for Visual RetrievalSong Bai, Xiang Bai, Qi Tian, Longin Jan Latecki. 3967-3973 [doi]
- Collective Deep Quantization for Efficient Cross-Modal RetrievalYue Cao, Mingsheng Long, Jianmin Wang 0001, Shichen Liu. 3974-3980 [doi]
- Reference Based LSTM for Image CaptioningMinghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han. 3981-3987 [doi]
- A Multi-Task Deep Network for Person Re-IdentificationWeihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang. 3988-3994 [doi]
- VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning ProblemRonald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni. 3995-4001 [doi]
- Deep Correlated Metric Learning for Sketch-based 3D Shape RetrievalGuoxian Dai, Jin Xie, Fan Zhu, Yi Fang. 4002-4008 [doi]
- Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face RecognitionZhen Dong, Su Jia, Chi Zhang, Mingtao Pei, Yuwei Wu. 4009-4015 [doi]
- Sherlock: Scalable Fact Learning in ImagesMohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal. 4016-4024 [doi]
- Robust Visual Tracking via Local-Global Correlation FilterHeng Fan, Jinhai Xiang. 4025-4031 [doi]
- DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in VideosChuang Gan, Chen Sun, Ram Nevatia. 4032-4038 [doi]
- Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian NetworkQuan Gan, Siqi Nie, Shangfei Wang, Qiang Ji. 4039-4045 [doi]
- Active Video Summarization: Customized Summaries via On-line Interaction with the UserAna Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan. 4046-4052 [doi]
- Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-ResolutionJun Guo, Hongyang Chao. 4053-4060 [doi]
- Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo LabelsYuchen Guo, Guiguang Ding, Jungong Han, Yue Gao. 4061-4067 [doi]
- Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute ClassificationEmily M. Hand, Rama Chellappa. 4068-4074 [doi]
- Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image ClassificationXiangteng He, Yuxin Peng. 4075-4081 [doi]
- Video Recovery via Learning Variation and Consistency of ImagesZhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang. 4082-4088 [doi]
- Nonnegative Orthogonal Graph MatchingBo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo. 4089-4095 [doi]
- Multi-Path Feedback Recurrent Neural Networks for Scene ParsingXiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan. 4096-4102 [doi]
- Detection and Recognition of Text Embedded in Online Images via Neural Context ModelsChulmoo Kang, Gunhee Kim, Suk I. Yoo. 4103-4110 [doi]
- Weakly Supervised Semantic Segmentation Using Superpixel Pooling NetworkSuha Kwak, Seunghoon Hong, Bohyung Han. 4111-4117 [doi]
- Robust MIL-Based Feature Template Learning for Object TrackingXiangyuan Lan, Pong C. Yuen, Rama Chellappa. 4118-4125 [doi]
- Learning Patch-Based Dynamic Graph for Visual TrackingChenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang. 4126-4132 [doi]
- Image Caption with Global-Local AttentionLinghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian. 4133-4139 [doi]
- Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion ModelsSiyi Li, Dit-Yan Yeung. 4140-4146 [doi]
- A Multiview-Based Parameter Free Framework for Group DetectionXuelong Li, Mulin Chen, Feiping Nie, Qi Wang. 4147-4153 [doi]
- Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and AssignmentZechao Li, Jinhui Tang. 4154-4160 [doi]
- TextBoxes: A Fast Text Detector with a Single Deep Neural NetworkMinghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu. 4161-4167 [doi]
- An Artificial Agent for Robust Image RegistrationRui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu. 4168-4175 [doi]
- Attention Correctness in Neural Image CaptioningChenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille. 4176-4182 [doi]
- Boosting Complementary Hash Tables for Fast Nearest Neighbor SearchXianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li. 4183-4189 [doi]
- Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained RecognitionXiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin. 4190-4196 [doi]
- Video Captioning with Listwise SupervisionYuan Liu, Xue Li, Zhongchao Shi. 4197-4203 [doi]
- Closing the Loop for Edge Detection and Object ProposalsYao Lu, Linda G. Shapiro. 4204-4210 [doi]
- Learning Discriminative Activated Simplices for Action RecognitionChenxu Luo, Chang Ma, Chun-yu Wang, Yizhou Wang. 4211-4217 [doi]
- Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold RegularizationJiayi Ma, Ji Zhao 0001, Junjun Jiang, Huabing Zhou. 4218-4224 [doi]
- Online Multi-Target Tracking Using Recurrent Neural NetworksAnton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid 0001, Konrad Schindler. 4225-4232 [doi]
- Text-Guided Attention Model for Image CaptioningJonghwan Mun, Minsu Cho, Bohyung Han. 4233-4239 [doi]
- Fully Convolutional Neural Networks with Full-Scale-Features for Semantic SegmentationTianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong. 4240-4246 [doi]
- Title Learning Latent Subevents in Activity Videos Using Temporal Attention FiltersA. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo. 4247-4254 [doi]
- Privacy-Preserving Human Activity Recognition from Extreme Low ResolutionMichael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang. 4255-4262 [doi]
- An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton DataSijie Song, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jiaying Liu. 4263-4270 [doi]
- Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNsXinhang Song, Luis Herranz, Shuqiang Jiang. 4271-4277 [doi]
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningChristian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. 4278-4284 [doi]
- Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine SimilarityZhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu. 4285-4291 [doi]
- Quantifying and Detecting Collective Motion by Manifold LearningQi Wang, Mulin Chen, Xuelong Li. 4292-4298 [doi]
- Cross-View People Tracking by Scene-Centered Spatio-Temporal ParsingYuanlu Xu, Xiaobai Liu, Lei Qin, Song Chun Zhu. 4299-4305 [doi]
- Unsupervised Learning of Multi-Level Descriptors for Person Re-IdentificationYang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li. 4306-4312 [doi]
- Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann MachinesArjun Yogeswaran, Pierre Payeur. 4313-4319 [doi]
- Efficient Object Instance Search Using Fuzzy Objects MatchingTan Yu, Yuwei Wu, Sreyasee Das Bhattacharjee, Junsong Yuan. 4320-4326 [doi]
- Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural NetworksXin Yu, Fatih Porikli. 4327-4333 [doi]
- Leveraging Video Descriptions to Learn Video Question AnsweringKuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun. 4334-4340 [doi]
- Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query ImageXiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng. 4341-4348 [doi]
- Natural Language Acquisition and Grounding for Embodied Robotic SystemsMuhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn. 4349-4356 [doi]
- Analogical Chaining with Natural Language Instruction for Commonsense ReasoningJoseph A. Blass, Kenneth D. Forbus. 4357-4363 [doi]
- Inductive Reasoning about Ontologies Using Conceptual SpacesZied Bouraoui, Shoaib Jameel, Steven Schockaert. 4364-4370 [doi]
- Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising RobotMason Bretan, Gil Weinberg. 4371-4377 [doi]
- Imagined Visual Representations as Multimodal EmbeddingsGuillem Collell, Ted Zhang, Marie-Francine Moens. 4378-4384 [doi]
- Goal Operations for Cognitive SystemsMichael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta. 4385-4391 [doi]
- Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human KnowledgeWang-Zhou Dai, Zhi-Hua Zhou. 4392-4398 [doi]
- Reactive Versus Anticipative Decision Making in a Novel Gift-Giving GameElias Fernández Domingos, Juan-Carlos Burguillo, Tom Lenaerts. 4399-4405 [doi]
- Towards Continuous Scientific Data Analysis and Hypothesis EvolutionYolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick. 4406-4414 [doi]
- Flexible Model Induction through Heuristic Process DiscoveryPat Langley, Adam Arvay. 4415-4421 [doi]
- When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?Smitha Milli, Falk Lieder, Thomas L. Griffiths. 4422-4428 [doi]
- Scanpath Complexity: Modeling Reading Effort Using Gaze InformationAbhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya. 4429-4436 [doi]
- Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde AnalysisAbhishek Sharma, Keith M. Goolsbey. 4437-4443 [doi]
- ConceptNet 5.5: An Open Multilingual Graph of General KnowledgeRobert Speer, Joshua Chin, Catherine Havasi. 4444-4451 [doi]
- Towards a Brain Inspired Model of Self-Awareness for Sociable AgentsBudhitama Subagdja, Ah-Hwee Tan. 4452-4458 [doi]
- Semantic Proto-Role LabelingAdam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley. 4459-4466 [doi]
- Matrix Factorisation for Scalable Energy BreakdownNipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse. 4467-4473 [doi]
- Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter DataSouhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal. 4474-4480 [doi]
- Maximizing the Probability of Arriving on Time: A Practical Q-Learning MethodZhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath. 4481-4487 [doi]
- Counting-Based Reliability Estimation for Power-Transmission GridsLeonardo Dueñas-Osorio, Kuldeep S. Meel, Roger Paredes, Moshe Y. Vardi. 4488-4494 [doi]
- Three New Algorithms to Solve N-POMDPsYann Dujardin, Tom Dietterich, Iadine Chades. 4495-4501 [doi]
- Fine-Grained Car Detection for Visual Census EstimationTimnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei. 4502-4508 [doi]
- Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask LearningAndré Ricardo Gonçalves, Arindam Banerjee, Fernando J. Von Zuben. 4509-4515 [doi]
- Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional NoiseRebecca A. Hutchinson, Liqiang He, Sarah C. Emerson. 4516-4523 [doi]
- Combining Satellite Imagery and Open Data to Map Road SafetyAlameen Najjar, Shun'ichi Kaneko, Yoshikazu Miyanaga. 4524-4530 [doi]
- Fast-Tracking Stationary MOMDPs for Adaptive Management ProblemsMartin Péron, Kai Helge Becker, Peter Bartlett, Iadine Chades. 4531-4537 [doi]
- Extracting Urban Microclimates from Electricity BillsThuy Vu, Douglas Stott Parker. 4538-4544 [doi]
- Robust Optimization for Tree-Structured Stochastic Network DesignXiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein. 4545-4551 [doi]
- Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture InformationYexiang Xue, XiaoJian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes. 4552-4558 [doi]
- Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing DataJiaxuan You, Xiaocheng Li, Melvin Low, David Lobell, Stefano Ermon. 4559-4566 [doi]
- Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer's DiseasePeng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie, Xue Teng. 4567-4573 [doi]
- Mixed Discrete-Continuous Planning with Convex OptimizationEnrique Fernández-González, Erez Karpas, Brian Charles Williams. 4574-4580 [doi]
- Integration of Planning with Recognition for Responsive Interaction Using Classical PlannersRichard G. Freedman, Shlomo Zilberstein. 4581-4588 [doi]
- Configuration Planning with Temporal ConstraintsUwe Köckemann, Lars Karlsson. 4589-4595 [doi]
- Learning to Predict Intent from Gaze During Robotic Hand-Eye CoordinationYosef Razin, Karen M. Feigh. 4596-4602 [doi]
- Vision-Language Fusion for Object RecognitionSz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime G. Carbonell, Jean Oh. 4603-4610 [doi]
- State Projection via AI PlanningShirin Sohrabi, Anton V. Riabov, Octavian Udrea. 4611-4617 [doi]
- Building Task-Oriented Dialogue Systems for Online ShoppingZhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li. 4618-4626 [doi]
- Large-Scale Occupational Skills Normalization for Online RecruitmentFaizan Javed, Phuong Hoang, Thomas Mahoney, Matt Mcnair. 4627-4634 [doi]
- Phase-Mapper: An AI Platform to Accelerate High Throughput Materials DiscoveryYexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes. 4635-4643 [doi]
- A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly DocumentsRabah A. Al-Zaidy, C. Lee Giles. 4644-4649 [doi]
- ParkUs: A Novel Vehicle Parking Detection SystemPietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan. 4650-4656 [doi]
- UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OSTathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati. 4657-4663 [doi]
- Calories Prediction from Food ImagesManal Chokr, Shady Elbassuoni. 4664-4669 [doi]
- Real-Time Indoor Localization in Smart Homes Using Semi-Supervised LearningNegar Ghourchian, Michel Allegue-Martinez, Doina Precup. 4670-4677 [doi]
- Constraint-Based Verification of a Mobile App Game Designed for Nudging People to Attend Cancer ScreeningArnaud Gotlieb, Marine Louarn, Mari Nygård, Tomás Ruiz-López, Sagar Sen, Roberta Gori. 4678-4685 [doi]
- Predicting Fuel Consumption and Flight Delays for Low-Cost AirlinesYuji Horituchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno. 4686-4693 [doi]
- Cracks Under Pressure? Burst Prediction in Water Networks Using Dynamic MetricsGollakota Kaushik, Abinaya Manimaran, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam. 4694-4700 [doi]
- Determining Relative Airport Threats from News and Social MediaRupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan. 4701-4707 [doi]
- Risk-Aware Planning: Methods and Case Study for Safer Driving RoutesJohn Krumm, Eric Horvitz. 4708-4714 [doi]
- Designing Better Playlists with Monte Carlo Tree SearchElad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, Peter Stone. 4715-4720 [doi]
- On Designing a Social Coach to Promote Regular Aerobic ExerciseShiwali Mohan, Anusha Venkatakrishnan, Michael Silva, Peter Pirolli. 4721-4727 [doi]
- Crowdsensing Air Quality with Camera-Enabled Mobile DevicesZhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung. 4728-4733 [doi]
- Optimal Sequential Drilling for Hydrocarbon Field Development PlanningRuben Rodriguez Torrado, Jesus Rios, Gerald Tesauro. 4734-4739 [doi]
- Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital MarketingPhilip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill. 4740-4745 [doi]
- Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP DatasetSamarth Tripathi, Shrinivas Acharya, Ranti Dev Sharma, Sudhanshu Mittal, Samit Bhattacharya. 4746-4752 [doi]
- A Logic Based Approach to Answering Questions about Alternatives in DIY DomainsYi Wang, Joohyung Lee, Doo Soon Kim. 4753-4759 [doi]
- Automated Data Cleansing through Meta-LearningIan Gemp, Georgios Theocharous, Mohammad Ghavamzadeh. 4760-4761 [doi]
- Explainable Agency for Intelligent Autonomous SystemsPat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi. 4762-4764 [doi]
- ARTY: Fueling Creativity through Art, Robotics and Technology for YouthDebra T. Burhans, Karthik Dantu. 4765-4770 [doi]
- Cornhole: A Widely-Accessible AI Robotics TaskNate Derbinsky, Tyler M. Frasca. 4771-4774 [doi]
- A Summer Research Experience in RoboticsCindy M. Grimm, Alicia Lyman-Holt, William D. Smart. 4775-4780 [doi]
- Creating Serious Robots That Improve SocietySusan P. Imberman, Jean McManus, Gina Otts. 4781-4785 [doi]
- Recovering Concept Prerequisite Relations from University Course DependenciesChen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Lee Giles. 4786-4791 [doi]
- Open-Ended Robotics Exploration Projects for Budding ResearchersDavid R. Musicant, Abha Laddha, Tom Choi. 4792-4797 [doi]
- Dude, Where's My Robot?: A Localization Challenge for Undergraduate RoboticsPaul Ruvolo. 4798-4802 [doi]
- A Monte Carlo Localization Assignment Using a Neato Vacuum with ROSZuozhi Yang, Todd W. Neller. 4803-4805 [doi]
- An Image Wherever You Look! Making Vision Just Another Sensor for AI/Robotics ProjectsAndy Zhang, John Lee, Ciante Jones, Zachary Dodds. 4806-4812 [doi]
- Application for AI-OCR Module: Auto Detection of Emails/Letter ImagesKelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada. 4813-4814 [doi]
- Exploring Artificial Intelligence Through Image RecognitionKelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada. 4815-4816 [doi]
- Online SPARC for Drawing and AnimationElias Marcopoulos, Maede Rayatidamavandi, Crisel Suarez, Yuanlin Zhang. 4817-4818 [doi]
- AI Projects for Computer Science Capstone Classes (Extended Abstract)Matthew E. Taylor, Sakire Arslan Ay. 4819-4821 [doi]
- Model AI Assignments 2017Todd W. Neller, Joshua Eckroth, Sravana Reddy, Joshua Ziegler, Jason M. Bindewald, Gilbert L. Peterson, Thomas Way, Paula Matuszek, Lillian N. Cassel, Mary-Angela Papalaskari, Carol Weiss, Ariel Anders, Sertac Karaman. 4822-4825 [doi]
- The AI Rebellion: Changing the NarrativeDavid W. Aha, Alexandra Coman. 4826-4830 [doi]
- Moral Decision Making Frameworks for Artificial IntelligenceVincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer. 4831-4835 [doi]
- Why Teaching Ethics to AI Practitioners Is ImportantJudy Goldsmith, Emanuelle Burton. 4836-4840 [doi]
- Strategic Social Network AnalysisTomasz P. Michalak, Talal Rahwan, Michael Wooldridge. 4841-4845 [doi]
- Getting More Out of the Exposed Structure in Constraint Programming Models of Combinatorial ProblemsGilles Pesant. 4846-4851 [doi]
- A Selected Summary of AI for Computational SustainabilityDouglas H. Fisher. 4852-4857 [doi]
- Explaining Ourselves: Human-Aware Constraint ReasoningEugene C. Freuder. 4858-4862 [doi]
- Multi-Robot Allocation of Tasks with Temporal and Ordering ConstraintsMaria L. Gini. 4863-4869 [doi]
- Progress and Challenges in Research on Cognitive ArchitecturesPat Langley. 4870-4876 [doi]
- Machine Learning for Entity Coreference Resolution: A Retrospective Look at Two Decades of ResearchVincent Ng. 4877-4884 [doi]
- Incidental Supervision: Moving beyond Supervised LearningDan Roth. 4885-4890 [doi]
- Latent Tree AnalysisNevin L. Zhang, Leonard K. M. Poon. 4891-4898 [doi]
- Improving Performance of Analogue Readout Layers for Photonic Reservoir Computers with Online LearningPiotr Antonik, Marc Haelterman, Serge Massar. 4899-4900 [doi]
- Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output FeedbackPiotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar. 4901-4902 [doi]
- Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract)Masataro Asai, Alex Fukunaga. 4903-4904 [doi]
- Frame-Based Ontology AlignmentLuigi Asprino, Valentina Presutti, Aldo Gangemi, Paolo Ciancarini. 4905-4906 [doi]
- Learning Options in Multiobjective Reinforcement LearningRodrigo Cesar Bonini, Felipe Leno da Silva, Anna Helena Reali Costa. 4907-4908 [doi]
- Towards User Personality Profiling from Multiple Social NetworksKseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua. 4909-4910 [doi]
- Semantic Inference of Bird Songs Using Dynamic Bayesian NetworksKeisuke Daimon, Richard W. Hedley, Charles E. Taylor. 4911-4912 [doi]
- An Advising Framework for Multiagent Reinforcement Learning SystemsFelipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa. 4913-4914 [doi]
- Android Malware Detection with Weak Ground Truth DataJordan DeLoach, Doina Caragea, Xinming Ou. 4915-4916 [doi]
- Discovering Conversational Dependencies between Messages in DialogsWenchao Du, Pascal Poupart, Wei Xu. 4917-4918 [doi]
- Coordinating Human and Agent Behavior in Collective-Risk ScenariosElias Fernández Domingos, Juan-Carlos Burguillo, Ann Nowé, Tom Lenaerts. 4919-4920 [doi]
- The Complexity of Succinct ElectionsZack Fitzsimmons, Edith Hemaspaandra. 4921-4922 [doi]
- A Position-Biased PageRank Algorithm for Keyphrase ExtractionCorina Florescu, Cornelia Caragea. 4923-4924 [doi]
- Robust Stable MarriageBegum Genc, Mohamed Siala 0002, Barry O'Sullivan, Gilles Simonin. 4925-4926 [doi]
- Handwriting Profiling Using Generative Adversarial NetworksArna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury. 4927-4928 [doi]
- Policy Reuse in Deep Reinforcement LearningRuben Glatt, Anna Helena Reali Costa. 4929-4930 [doi]
- Grounded Action Transformation for Robot Learning in SimulationJosiah P. Hanna, Peter Stone. 4931-4932 [doi]
- Bootstrapping with Models: Confidence Intervals for Off-Policy EvaluationJosiah P. Hanna, Peter Stone, Scott Niekum. 4933-4934 [doi]
- Fast Electrical Demand Optimization Under Real-Time PricingShan He, Mark Wallace, Campbell Wilson, Ariel Liebman. 4935-4936 [doi]
- SReN: Shape Regression Network for Comic Storyboard ExtractionZheqi He, Yafeng Zhou, Yongtao Wang, Zhi Tang. 4937-4938 [doi]
- Cross-Domain Sentiment Classification via Topic-Related TrAdaBoostXingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang. 4939-4940 [doi]
- A Deep Learning Approach for Arabic Caption Generation Using Roots-WordsVasu Jindal. 4941-4942 [doi]
- Learning to Avoid Dominated Action Sequences in Planning for Black-Box DomainsYuu Jinnai, Alex Fukunaga. 4943-4944 [doi]
- Kernelized Evolutionary Distance Metric Learning for Semi-Supervised ClusteringWasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui. 4945-4946 [doi]
- Redesigning Stochastic Environments for Maximized UtilitySarah Keren, Avigdor Gal, Erez Karpas, Luis-Pineda, Shlomo Zilberstein. 4947-4948 [doi]
- Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision ProcessesTaylor W. Killian, George Konidaris, Finale Doshi-Velez. 4949-4950 [doi]
- Wikitop: Using Wikipedia Category Network to Generate Topic TreesSaravana Kumar, Prasath Rengarajan, Arockia Xavier Annie. 4951-4952 [doi]
- Predicting Mortality of Intensive Care Patients via Learning about HazardDae-Hyun Lee, Eric Horvitz. 4953-4954 [doi]
- Rethinking the Link Prediction Problem in Signed Social NetworksXiaoming Li, Hui Fang, Jie Zhang. 4955-4956 [doi]
- ATSUM: Extracting Attractive Summaries for News Propagation on MicroblogsFang Liu, Xiaojun Wan. 4957-4958 [doi]
- A Systematic Practice of Judging the Success of a Robotic Grasp Using Convolutional Neural NetworkHengshuang Liu, Pengcheng Ai, Junling Chen. 4959-4960 [doi]
- Neuron Learning Machine for Representation LearningJia Liu, Maoguo Gong, Qiguang Miao. 4961-4962 [doi]
- Community-Based Question Answering via Contextual Ranking Metric Network LearningHanqing Lu, Ming Kong. 4963-4964 [doi]
- Auto-Annotation of 3D Objects via ImageNetHuan Luo, Cheng Wang, Jonathan Li. 4965-4966 [doi]
- Semantic Interpretation of Social Network CommunitiesTushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das. 4967-4968 [doi]
- Extreme Gradient Boosting and Behavioral BiometricsBenjamin Manning. 4969-4970 [doi]
- Plan Recognition DesignReuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech. 4971-4972 [doi]
- Automatically Extracting Axioms in Classical PlanningShuwa Miura, Alex Fukunaga. 4973-4974 [doi]
- SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RLAkshay Narayan, Zhuoru Li, Tze-Yun Leong. 4975-4976 [doi]
- Coalition Structure Generation Utilizing Graphical Representation of Partition Function GamesKazuki Nomoto, Yuko Sakurai, Makoto Yokoo. 4977-4978 [doi]
- Audio Feature Learning with Triplet-Based Embedding NetworkXiaoyu Qi, Deshun Yang, Xiaoou Chen. 4979-4980 [doi]
- A Finite Memory Automaton for Two-Armed Bernoulli Bandit ProblemsAriel Rao. 4981-4982 [doi]
- Semantic Representation Using Explicit Concept Space ModelsWalid Ahmed Fouad Shalaby, Wlodek Zadrozny. 4983-4984 [doi]
- A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration UncertaintyWen Song, Donghun Kang, Jie Zhang, Hui Xi. 4985-4986 [doi]
- PAG2ADMG: A Novel Methodology to Enumerate Causal Graph StructuresNishant Subramani, Doug Downey. 4987-4988 [doi]
- Preference Elicitation in DCOPs for Scheduling Devices in Smart BuildingsAtena M. Tabakhi. 4989-4990 [doi]
- Multimodal Fusion of EEG and Musical Features in Music-Emotion RecognitionNattapong Thammasan, Ken-ichi Fukui, Masayuki Numao. 4991-4992 [doi]
- Predicting User Roles from Computer Logs Using Recurrent Neural NetworksAaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson. 4993-4994 [doi]
- Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor FactorizationSunny Verma, Wei Liu, Chen Wang, Liming Zhu. 4995-4996 [doi]
- Hybridizing Interval Temporal Logics: The First StepPrzemyslaw Andrzej Walega. 4997-4998 [doi]
- Boosting for Real-Time Multivariate Time Series ClassificationHaishuai Wang, Jun Wu. 4999-5000 [doi]
- Semantic Connection Based Topic EvolutionJiamiao Wang. 5001-5002 [doi]
- Keyphrase Extraction with Sequential Pattern MiningQingren Wang, Victor S. Sheng, Xindong Wu. 5003-5004 [doi]
- Cycle-Based Singleton Local ConsistenciesRobert J. Woodward, Berthe Y. Choueiry, Christian Bessiere. 5005-5006 [doi]
- Evolutionary Machine Learning for RTS Game StarCraftLianlong Wu, Andrew Markham. 5007-5008 [doi]
- Enhancing the Privacy of PredictorsKe Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer. 5009-5010 [doi]
- Detecting Review Spammer GroupsMin Yang, Ziyu Lu, Xiaojun Chen, Fei Xu. 5011-5012 [doi]
- Attention Based LSTM for Target Dependent Sentiment ClassificationMin Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen. 5013-5014 [doi]
- Authorship Attribution with Topic Drift ModelMin Yang, Dingju Zhu, Yong Tang, Jingxuan Wang. 5015-5016 [doi]
- Participatory Art Museum: Collecting and Modeling Crowd OpinionsXiaoyu Zeng, Ruohan Zhang. 5017-5018 [doi]
- High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet EmbeddingFandong Zhang, Jufu Feng. 5019-5020 [doi]
- A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the ElderlyHao Zhang, Chunyan Miao, Han Yu, Cyril Leung. 5021-5022 [doi]
- Natural Language Person RetrievalTao Zhou, Jie Yu. 5023-5024 [doi]
- User Modeling Using LSTM NetworksKonrad Zolna, Bartlomiej Romanski. 5025-5027 [doi]
- Explainable Image Understanding Using Vision and ReasoningSomak Aditya. 5028-5029 [doi]
- Problem Formulation for Accommodation Support in Plan-Based Interactive NarrativesAdam Amos-Binks. 5030-5031 [doi]
- An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot TeamsMuhammad Usman Arif. 5032-5033 [doi]
- Accelerating Multiagent Reinforcement Learning through Transfer LearningFelipe Leno da Silva, Anna Helena Reali Costa. 5034-5035 [doi]
- Improving Deep Reinforcement Learning with Knowledge TransferRuben Glatt, Anna Helena Reali Costa. 5036-5037 [doi]
- Problems in Large-Scale Image ClassificationYuchen Guo. 5038-5039 [doi]
- Representations for Continuous LearningDavid Isele. 5040-5041 [doi]
- Structured Prediction in Time Series DataJia Li. 5042-5043 [doi]
- A Supervised Sparse Learning Framework to Solve EEG Inverse Problem for Discriminative Activations PatternFeng Liu. 5044-5045 [doi]
- V for Verification: Intelligent Algorithm of Checking Reliability of Smart SystemsAnna Lukina. 5046-5047 [doi]
- Modelling Familiarity for Intelligent Personalized Social MobilizationZhengxiang Pan. 5048-5049 [doi]
- Transfer of Knowledge through Collective LearningMohammad Rostami. 5050-5051 [doi]
- Project Scheduling in Complex Business EnvironmentsWen Song. 5052-5053 [doi]
- Human-Like Spatial Reasoning FormalismsPrzemyslaw Andrzej Walega. 5054-5055 [doi]
- Joint Learning of Structural and Textual Features for Web Scale Event ExtractionJulia Wiedmann. 5056-5057 [doi]
- Scalable Nonparametric Tensor AnalysisShandian Zhe. 5058-5060 [doi]
- SAT Competition 2016: Recent DevelopmentsTomas Balyo, Marijn J. H. Heule, Matti Järvisalo. 5061-5063 [doi]
- What's Hot in Evolutionary ComputationTobias Friedrich 0001, Frank Neumann. 5064-5066 [doi]
- What's Hot in Case-Based ReasoningAshok K. Goel 0001, Belén Díaz-Agudo. 5067-5069 [doi]
- Automated Negotiating Agents Competition (ANAC)Catholijn M. Jonker, Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Takayuki Ito, Koen V. Hindriks. 5070-5072 [doi]
- What's Hot in Constraint ProgrammingLaurent D. Michel, Michel Rueher. 5073-5075 [doi]
- What's Hot at CPAIOR (Extended Abstract)Claude-Guy Quimper. 5076-5078 [doi]
- The State of the AIIDE Conference in 2017Nathan R. Sturtevant, Brian Magerko. 5079-5080 [doi]
- Deep Music: Towards Musical DialogueMason Bretan, Sageev Oore, Jesse Engel, Douglas Eck, Larry Heck. 5081-5082 [doi]
- AniDraw: When Music and Dance Meet HarmoniouslyYaohua Bu, Taoran Tang, Jia Jia, Zhiyuan Ma, Songyao Wu, Yuming You. 5083-5084 [doi]
- Arnold: An Autonomous Agent to Play FPS GamesDevendra Singh Chaplot, Guillaume Lample. 5085-5086 [doi]
- A Virtual Personal Fashion Consultant: Learning from the Personal Preference of FashionJingtian Fu, Yejun Liu, Jia Jia, Yihui Ma, Fanhang Meng, Huan Huang. 5087-5088 [doi]
- Efficient Clinical Concept Extraction in Electronic Medical RecordsYufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer F. Syeda-Mahmood. 5089-5090 [doi]
- Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue SystemTing-Yao Hu, Chirag Raman, Salvador Medina Maza, Liangke Gui, Tadas Baltrusaitis, Robert E. Frederking, Louis-Philippe Morency, Alan W. Black, Maxine Eskénazi. 5091-5092 [doi]
- Visual Memory QA: Your Personal Photo and Video Search AgentLu Jiang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann. 5093-5094 [doi]
- Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and GenerationAditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark James Carman. 5095-5096 [doi]
- An Event Reconstruction Tool for Conflict Monitoring Using Social MediaJunwei Liang, Desai Fan, Han Lu, Poyao Huang, Jia Chen, Lu Jiang, Alexander G. Hauptmann. 5097-5098 [doi]
- Webly-Supervised Learning of Multimodal Video DetectorsJunwei Liang, Lu Jiang, Alexander G. Hauptmann. 5099-5100 [doi]
- SenseRun: Real-Time Running Routes Recommendation towards Providing Pleasant Running ExperiencesJiayu Long, Jia Jia, Han Xu. 5101-5102 [doi]
- Natural Language Dialogue for Building and Learning Models and StructuresIan E. Perera, James F. Allen, Lucian Galescu, Choh-Man Teng, Mark H. Burstein, Scott Friedman, David D. McDonald, Jeffrey M. Rye. 5103-5104 [doi]
- From Semantic Models to Cognitive BuildingsJoern Ploennigs, Anika Schumann. 5105 [doi]