Applications
| SnapNETS: Automatic Segmentation of Network Sequences with Node Labels | |
| Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash |
| Taming the Matthew Effect in Online Markets with Social Influence | |
| Franco Berbeglia, Pascal Van Hentenryck |
| A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation Algorithm | |
| Deblina Bhattacharjee, Anand Paul |
| Partitioned Sampling of Public Opinions Based on Their Social Dynamics | |
| Weiran Huang, Liang Li, Wei Chen |
| Novel Geometric Approach for Global Alignment of PPI Networks | |
| Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu |
| Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach | |
| Yihui Ma, Jia Jia, Suping Zhou, Jingtian Fu, Yejun Liu, Zijian Tong |
| Profit-Driven Team Grouping in Social Networks | |
| Shaojie Tang |
| Gated Neural Networks for Option Pricing: Rationality by Design | |
| Yongxin Yang, Yu Zheng, Timothy M. Hospedales |
| Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment | |
| Muhammad Yousefnezhad, Daoqiang Zhang |
| Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images | |
| Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng Ann Heng |
| StructInf: Mining Structural Influence from Social Streams | |
| Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun |
Artificial Intelligence and the Web
| Transitive Hashing Network for Heterogeneous Multimedia Retrieval | |
| Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang |
| Marrying Uncertainty and Time in Knowledge Graphs | |
| Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt |
| TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning | |
| Aleksandr Farseev, Tat-Seng Chua |
| POI2Vec: Geographical Latent Representation for Predicting Future Visitors | |
| Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee |
| A Dependency-Based Neural Reordering Model for Statistical Machine Translation | |
| Christian Hadiwinoto, Hwee Tou Ng |
| Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents | |
| Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang |
| Random-Radius Ball Method for Estimating Closeness Centrality | |
| Wataru Inariba, Takuya Akiba, Yuichi Yoshida |
| Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes | |
| Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda |
| Treatment Effect Estimation with Data-Driven Variable Decomposition | |
| Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang |
| A Declarative Approach to Data-Driven Fact Checking | |
| Julien Leblay |
| Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding | |
| Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying |
| Multi-Task Deep Learning for User Intention Understanding in Speech Interaction Systems | |
| Yishuang Ning, Jia Jia, Zhiyong Wu, Runnan Li, Yongsheng An, Yanfeng Wang, Helen Meng |
| Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture | |
| Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo |
| Radon – Rapid Discovery of Topological Relations | |
| Mohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros, Axel-Cyrille Ngonga Ngomo |
| Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual Similarity | |
| Xiaoshuai Sun, Jiewei Cao, Chao Li, Lei Zhu, Heng Tao Shen |
| Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation | |
| Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon |
| Phrase-Based Presentation Slides Generation for Academic Papers | |
| Sida Wang, Xiaojun Wan, Shikang Du |
| Community Preserving Network Embedding | |
| Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang |
| CLARE: A Joint Approach to Label Classification and Tag Recommendation | |
| Yilin Wang, Suhang Wang, Jiliang Tang, Guojun Qi, Huan Liu, Baoxin Li |
| Multiple Source Detection without Knowing the Underlying Propagation Model | |
| Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye |
| Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network | |
| Jufeng Yang, Ming Sun, Xiaoxiao Sun |
| Visual Sentiment Analysis by Attending on Local Image Regions | |
| Quanzeng You, Hailin Jin, Jiebo Luo |
| Correlated Cascades: Compete or Cooperate | |
| Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha |
| Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem | |
| Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin |
| Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising | |
| Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun |
| Expectile Matrix Factorization for Skewed Data Analysis | |
| Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li |
Cognitive Modeling and Cognitive Systems
| Associative Memory Using Dictionary Learning and Expander Decoding | |
| Arya Mazumdar, Ankit Singh Rawat |
| An Integrated Model for Effective Saliency Prediction | |
| Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen |
Game Playing and Interactive Entertainment
| The Efficiency of the HyperPlay Technique Over Random Sampling | |
| Michael Schofield, Michael Thielscher |
Game Theory and Economic Paradigms
| Market Pricing for Data Streams | |
| Melika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami |
| Automated Design of Robust Mechanisms | |
| Michael Albert, Vincent Conitzer, Peter Stone |
| Incentivising Monitoring in Open Normative Systems | |
| Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan |
| Envy-Free Mechanisms with Minimum Number of Cuts | |
| Reza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik |
| Strategic Signaling and Free Information Disclosure in Auctions | |
| Shani Alkoby, David Sarne, Igal Milchtaich |
| Complexity of Manipulating Sequential Allocation | |
| Haris Aziz, Sylvain Bouveret, Jérôme Lang, Simon Mackenzie |
| Algorithms for Max-Min Share Fair Allocation of Indivisible Chores | |
| Haris Aziz, Gerhard Rauchecker, Guido Schryen, Toby Walsh |
| Nash Stability in Social Distance Games | |
| Alkida Balliu, Michele Flammini, Giovanna Melideo, Dennis Olivetti |
| On Pareto Optimality in Social Distance Games | |
| Alkida Balliu, Michele Flammini, Dennis Olivetti |
| Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms | |
| Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti |
| A Study of Compact Reserve Pricing Languages | |
| MohammadHossein Bateni, Hossein Esfandiary, Vahab Mirrokni, Saeed Seddighin |
| Faster and Simpler Algorithm for Optimal Strategies of Blotto Game | |
| Soheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin |
| Preference Elicitation For Participatory Budgeting | |
| Gerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah |
| Exclusion Method for Finding Nash Equilibrium in Multiplayer Games | |
| Kimmo Berg, Tuomas Sandholm |
| Teams in Online Scheduling Polls: Game-Theoretic Aspects | |
| Robert Bredereck, Jiehua Chen, Rolf Niedermeier, Svetlana Obraztsova, Nimrod Talmon |
| Probably Approximately Efficient Combinatorial Auctions via Machine Learning | |
| Gianluca Brero, Benjamin Lubin, Sven Seuken |
| Phragmén’s Voting Methods and Justified Representation | |
| Markus Brill, Rupert Freeman, Svante Janson, Martin Lackner |
| Multiwinner Approval Rules as Apportionment Methods | |
| Markus Brill, Jean-Francois Laslier, Piotr Skowron |
| Dynamic Thresholding and Pruning for Regret Minimization | |
| Noam Brown, Christian Kroer, Tuomas Sandholm |
| Optimizing Positional Scoring Rules for Rank Aggregation | |
| Ioannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris |
| On Markov Games Played by Bayesian and Boundedly-Rational Players | |
| Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi |
| Bounded Rationality of Restricted Turing Machines | |
| Lijie Chen, Pingzhong Tang, Ruosong Wang |
| Winner Determination in Huge Elections with MapReduce | |
| Theresa Csar, Martin Lackner, Reinhard Pichler, Emanuel Sallinger |
| Approximation and Parameterized Complexity of Minimax Approval Voting | |
| Marek Cygan, Łukasz Kowalik, Arkadiusz Socała, Krzysztof Sornat |
| The Computational Complexity of Weighted Greedy Matching | |
| Argyrios Deligkas, George B. Mertzios, Paul G. Spirakis |
| Disarmament Games | |
| Yuan Deng, Vincent Conitzer |
| The Complexity of Stable Matchings under Substitutable Preferences | |
| Yuan Deng, Debmalya Panigrahi, Bo Waggoner |
| Small Representations of Big Kidney Exchange Graphs | |
| John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm |
| What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain | |
| Edith Elkind, Piotr Faliszewski, Jean-Francois Laslier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon |
| Extensive-Form Perfect Equilibrium Computation in Two-Player Games | |
| Gabriele Farina, Nicola Gatti |
| Selfish Knapsack | |
| Itai Feigenbaum, Matthew P. Johnson |
| Obvious Strategyproofness Needs Monitoring for Good Approximations | |
| Diodato Ferraioli, Carmine Ventre |
| Crowdsourced Outcome Determination in Prediction Markets | |
| Rupert Freeman, Sebastien Lahaie, David M. Pennock |
| Security Games on a Plane | |
| Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch |
| Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents | |
| Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu |
| Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity | |
| Stephen Gross, Elliot Anshelevich, Lirong Xia |
| Computing Least Cores of Supermodular Cooperative Games | |
| Daisuke Hatano, Yuichi Yoshida |
| Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games | |
| Karel Horák, Branislav Bošanský, Michal Pěchouček |
| Group Activity Selection on Social Networks | |
| Ayumi Igarashi, Dominik Peters, Edith Elkind |
| Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces | |
| Albert Xin Jiang, Hau Chan, Kevin Leyton-Brown |
| Complexity of the Stable Invitations Problem | |
| Hooyeon Lee, Vassilevska Williams |
| Mechanism Design in Social Networks | |
| Bin Li, Dong Hao, Dengji Zhao, Tao Zhou |
| Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack | |
| Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An |
| Network, Popularity and Social Cohesion: A Game-Theoretic Approach | |
| Jiamou Liu, Ziheng Wei |
| Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices | |
| Yang Liu, Yiling Chen |
| An Ambiguity Aversion Model for Decision Making under Ambiguity | |
| Wenjun Ma, Xudong Luo, Yuncheng Jiang |
| Optimal Pricing for Submodular Valuations with Bounded Curvature | |
| Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi |
| On Covering Codes and Upper Bounds for the Dimension of Simple Games | |
| Martin Olsen |
| Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure | |
| Luis E. Ortiz, Mohammad T. Irfan |
| Recognising Multidimensional Euclidean Preferences | |
| Dominik Peters |
| Preferences Single-Peaked on a Circle | |
| Dominik Peters, Martin Lackner |
| Psychological Forest: Predicting Human Behavior | |
| Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz |
| Revenue Maximization for Finitely Repeated Ad Auctions | |
| Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu |
| Proportional Justified Representation | |
| Luis Sánchez-Fernández, Edith Elkind, Martin Lackner, Norberto Fernández, Jesús A. Fisteus, Pablo Basanta Val, Piotr Skowron |
| Achieving Sustainable Cooperation in Generalized Prisoner's Dilemma with Observation Errors | |
| Fuuki Shigenaka, Tadashi Sekiguchi, Atsushi Iwasaki, Makoto Yokoo |
| Mechanism Design for Multi-Type Housing Markets | |
| Sujoy Sikdar, Sibel Adali, Lirong Xia |
| Constrained Pure Nash Equilibria in Polymatrix Games | |
| Sunil Simon, Dominik Wojtczak |
| Axiomatic Characterization of Game-Theoretic Network Centralities | |
| Oskar Skibski, Tomasz P. Michalak, Talal Rahwan |
| Social Choice Under Metric Preferences: Scoring Rules and STV | |
| Piotr Krzysztof Skowron, Edith Elkind |
| Fans Economy and All-Pay Auctions with Proportional Allocations | |
| Pingzhong Tang, Yulong Zeng, Song Zuo |
| The Positronic Economist: A Computational System for Analyzing Economic Mechanisms | |
| David Thompson, Neil Newman, Kevin Leyton-Brown |
| Non-Additive Security Games | |
| Sinong Wang, Fang Liu, Ness Shroff |
| The Dollar Auction with Spiteful Players | |
| Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings |
| Proper Proxy Scoring Rules | |
| Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause |
| Randomized Mechanisms for Selling Reserved Instances in Cloud | |
| Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu |
Heuristic Search and Optimization
| Embedded Bandits for Large-Scale Black-Box Optimization | |
| Abdullah Al-Dujaili, S. Suresh |
| Reactive Dialectic Search Portfolios for MaxSAT | |
| Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney |
| Efficient Parameter Importance Analysis via Ablation with Surrogates | |
| Andre Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger Hoos |
| Problem Difficulty and the Phase Transition in Heuristic Search | |
| Eldan Cohen, J. Christopher Beck |
| Automatic Logic-Based Benders Decomposition with MiniZinc | |
| Toby O. Davies, Graeme Gange, Peter J. Stuckey |
| Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization | |
| Cong Fang, Zhouchen Lin |
| A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search | |
| Tobias Friedrich, Timo Kötzing, Markus Wagner |
| The Simultaneous Maze Solving Problem | |
| Stefan Funke, Andre Nusser, Sabine Storandt |
| Going Beyond Primal Treewidth for (M)ILP | |
| Robert Ganian, Sebastian Ordyniak, M. S. Ramanujan |
| Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates | |
| Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker |
| An Exact Algorithm for the Maximum Weight Clique Problem in Large Graphs | |
| Hua Jiang, Chu-Min Li, Felip Manya |
| Learning to Prune Dominated Action Sequences in Online Black-Box Planning | |
| Yuu Jinnai, Alex Fukunaga |
| Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem | |
| Maximilian Katzmann, Christian Komusiewicz |
| New Lower Bound for the Minimum Sum Coloring Problem | |
| Clément Lecat, Corinne Lucet, Chu-Min Li |
| Anytime Anyspace AND/OR Search for Bounding the Partition Function | |
| Qi Lou, Rina Dechter, Alexander Ihler |
| Dancing with Decision Diagrams: A Combined Approach to Exact Cover | |
| Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata |
| Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions | |
| Hong Qian, Yang Yu |
| Automated Data Extraction Using Predictive Program Synthesis | |
| Mohammad Raza, Sumit Gulwani |
| Grid Pathfinding on the 2k Neighborhoods | |
| Nicolas Rivera, Carlos Hernández, Jorge A. Baier |
| Non-Monotone DR-Submodular Function Maximization | |
| Tasuku Soma, Yuichi Yoshida |
| Regret Ratio Minimization in Multi-Objective Submodular Function Maximization | |
| Tasuku Soma, Yuichi Yoshida |
| Value Compression of Pattern Databases | |
| Nathan R. Sturtevant, Ariel Felner, Malte Helmert |
| A Fast Algorithm to Compute Maximum k-Plexes in Social Network Analysis | |
| Mingyu Xiao, Weibo Lin, Yuanshun Dai, Yifeng Zeng |
| A Unified Convex Surrogate for the Schatten-p Norm | |
| Chen Xu, Zhouchen Lin, Hongbin Zha |
| Efficient Stochastic Optimization for Low-Rank Distance Metric Learning | |
| Jie Zhang, Lijun Zhang |
Human-Aware Artificial Intelligence
| Examples-Rules Guided Deep Neural Network for Makeup Recommendation | |
| Taleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu |
| Predicting Latent Narrative Mood Using Audio and Physiologic Data | |
| Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi |
| Collaborative Planning with Encoding of Users' High-Level Strategies | |
| Joseph Kim, Christopher J. Banks, Julie A. Shah |
Human Computation and Crowd Sourcing
| Long-Term Trends in the Public Perception of Artificial Intelligence | |
| Ethan Fast, Eric Horvitz |
| A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution | |
| Arya Mazumdar, Barna Saha |
| Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process | |
| Takeru Sunahase, Yukino Baba, Hisashi Kashima |
Humans and Artificial Intelligence
| The Benefit in Free Information Disclosure When Selling Information to People | |
| Shani Alkoby, David Sarne |
| Psychologically Based Virtual-Suspect for Interrogative Interview Training | |
| Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus |
| PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering | |
| Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park |
| JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading | |
| Igor Labutov, Christoph Studer |
| On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems | |
| Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann |
| Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data | |
| Shan Wu, Shangfei Wang, Qiang Ji |
Knowledge Representation and Reasoning
| On the Computation of Paracoherent Answer Sets | |
| Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca |
| Polynomially Bounded Logic Programs with Function Symbols: A New Decidable | |
| Vernon Asuncion, Yan Zhang, Heng Zhang |
| Abstraction in Situation Calculus Action Theories | |
| Bita Banihashemi, Giuseppe De Giacomo, Yves Lesperance |
| Source Information Disclosure in Ontology-Based Data Integration | |
| Michael Benedikt, Bernardo Cuenca Grau, Egor V. Kostylev |
| Ontology-Mediated Queries for Probabilistic Databases | |
| Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz |
| Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic | |
| Sebastian Brandt, Elem Güzel Kalaycı, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev |
| Solving Advanced Argumentation Problems with Answer-Set Programming | |
| Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran |
| Checking the Consistency of Combined Qualitative Constraint Networks | |
| Quentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau |
| Add Data into Business Process Verification: Bridging the Gap between Theory and Practice | |
| Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Sergio Tessaris |
| Practical TBox Abduction Based on Justification Patterns | |
| Jianfeng Du, Hai Wan, Huaguan Ma |
| The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs | |
| Nausheen Fatma, Manoj K. Chinnakotla, Manish Shrivastava |
| Ontology Materialization by Abstraction Refinement in Horn SHOIF | |
| Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran |
| Number Restrictions on Transitive Roles in Description Logics with Nominals | |
| Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung |
| Strategic Sequences of Arguments for Persuasion Using Decision Trees | |
| Emmanuel Hadoux, Anthony Hunter |
| Preferential Structures for Comparative Probabilistic Reasoning | |
| Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard, III |
| Query Answering in DL-Lite with Datatypes: A Non-Uniform Approach | |
| André Hernich, Julio Lemos, Frank Wolter |
| Diagnosability Planning for Controllable Discrete Event Systems | |
| Hassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon |
| Entropic Causal Inference | |
| Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi |
| SAT Encodings for Distance-Based Belief Merging Operators | |
| Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis |
| LPMLN, Weak Constraints, and P-log | |
| Joohyung Lee, Zhun Yang |
| Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy | |
| Jiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang |
| On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies | |
| Jiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang, Pinpin Zhu |
| Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery | |
| Heng-Yang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie |
| The Symbolic Interior Point Method | |
| Martin Mladenov, Vaishak Belle, Kristian Kersting |
| Small Is Beautiful: Computing Minimal Equivalent EL Concepts | |
| Nadeschda Nikitina, Patrick Koopmann |
| Compiling Graph Substructures into Sentential Decision Diagrams | |
| Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata |
| Efficient Evaluation of Answer Set Programs with External Sources Based on External Source Inlining | |
| Christoph Redl |
| On Equivalence and Inconsistency of Answer Set Programs with External Sources | |
| Christoph Redl |
| ProjE: Embedding Projection for Knowledge Graph Completion | |
| Baoxu Shi, Tim Weninger |
| Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs | |
| Yi Tay, Anh Tuan Luu, Siu Cheung Hui |
| Causal Discovery Using Regression-Based Conditional Independence Tests | |
| Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan |
| An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction | |
| Mengxue Zhang, Tushar Mathew, Brendan A. Juba |
| Trust-Sensitive Evolution of DL-Lite Knowledge Bases | |
| Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks |
Machine Learning Applications
| Explicit Defense Actions Against Test-Set Attacks | |
| Scott Alfeld, Xiaojin Zhu, Paul Barford |
| Multidimensional Scaling on Multiple Input Distance Matrices | |
| Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian |
| ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets | |
| Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava |
| GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering | |
| Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu |
| Predicting Soccer Highlights from Spatio-Temporal Match Event Streams | |
| Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis |
| A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems | |
| Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang |
| Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation | |
| Li Gao, Jia Wu, Chuan Zhou, Yue Hu |
| Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton | |
| Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen |
| Soft Video Parsing by Label Distribution Learning | |
| Xin Geng, Miaogen Ling |
| Active Learning with Cross-Class Similarity Transfer | |
| Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han |
| DeepFix: Fixing Common C Language Errors by Deep Learning | |
| Rahul Gupta, Soham Pal, Aditya Kanade, Shirish Shevade |
| Question Difficulty Prediction for READING Problems in Standard Tests | |
| Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu |
| Additional Multi-Touch Attribution for Online Advertising | |
| Wendi Ji, Xiaoling Wang |
| Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction | |
| Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang |
| Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification | |
| Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen |
| Contextual RNN-GANs for Abstract Reasoning Diagram Generation | |
| Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal |
| A Framework for Minimal Clustering Modification via Constraint Programming | |
| Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson |
| Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem | |
| Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein |
| ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems | |
| DongSheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha |
| Learning with Feature Network and Label Network Simultaneously | |
| Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang |
| Collaborative Company Profiling: Insights from an Employee's Perspective | |
| Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong |
| ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy | |
| Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang |
| A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping | |
| Feng Liu, Shouyi Wang, Jay Rosenberger, Jianzhong Su, Hanli Liu |
| On Predictive Patent Valuation: Forecasting Patent Citations and Their Types | |
| Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu |
| Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks | |
| Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen |
| Data-Driven Approximations to NP-Hard Problems | |
| Anton Milan, S. Hamid Rezatofighi, Ravi Garg, Anthony Dick, Ian Reid |
| Predicting Demographics of High-Resolution Geographies with Geotagged Tweets | |
| Omar Montasser, Daniel Kifer |
| Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization | |
| Arun Reddy Nelakurthi, Jingrui He |
| FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation | |
| Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen |
| Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU | |
| Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka |
| Enabling Dark Energy Science with Deep Generative Models of Galaxy Images | |
| Siamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, Jeff Schneider, Barnabas Poczos |
| Unsupervised Deep Learning for Optical Flow Estimation | |
| Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha |
| Low-Rank Linear Cold-Start Recommendation from Social Data | |
| Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas |
| Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units | |
| Wenling Shang, Justin Chiu, Kihyuk Sohn |
| Portfolio Selection via Subset Resampling | |
| Weiwei Shen, Jun Wang |
| Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks | |
| Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen |
| Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction | |
| Masamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi |
| Neural Programming by Example | |
| Chengxun Shu, Hongyu Zhang |
| Simultaneous Clustering and Ensemble | |
| Zhiqiang Tao, Hongfu Liu, Yun Fu |
| A Deep Hierarchical Approach to Lifelong Learning in Minecraft | |
| Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor |
| Learning Attributes from the Crowdsourced Relative Labels | |
| Tian Tian, Ning Chen, Jun Zhu |
| Coupling Implicit and Explicit Knowledge for Customer Volume Prediction | |
| Jingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong |
| Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation | |
| Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao |
| Multiset Feature Learning for Highly Imbalanced Data Classification | |
| Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang |
| Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation | |
| Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang |
| Modeling the Intensity Function of Point Process Via Recurrent Neural Networks | |
| Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu |
| Progressive Prediction of Student Performance in College Programs | |
| Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar |
| Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments | |
| Linli Xu, Chao Zhang |
| Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval | |
| Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao |
| Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification | |
| Meng Yang, Lin Chen |
| Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images | |
| Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng |
| Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay | |
| Haiyan Yin, Sinno Jialin Pan |
| Personalized Donor-Recipient Matching for Organ Transplantation | |
| Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar |
| Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction | |
| Junbo Zhang, Yu Zheng, Dekang Qi |
| Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction | |
| Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You |
| Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback | |
| Yan Zhang, Defu Lian, Guowu Yang |
| Catch’Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations | |
| Kai Zhu, Zhen Chen, Lei Ying |
Machine Learning Methods
| Learning Bayesian Networks with Incomplete Data by Augmentation | |
| Tameem Adel, Cassio P. de Campos |
| Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption | |
| Tameem Adel, Han Zhao, Alexander Wong |
| Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning | |
| Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain |
| The Bernstein Mechanism: Function Release under Differential Privacy | |
| Francesco Aldà, Benjamin I. P. Rubinstein |
| Heavy-Tailed Analogues of the Covariance Matrix for ICA | |
| Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher |
| Fast Generalized Distillation for Semi-Supervised Domain Adaptation | |
| Shuang Ao, Xiang Li, Charles X. Ling |
| The Option-Critic Architecture | |
| Pierre-Luc Bacon, Jean Harb, Doina Precup |
| Label Efficient Learning by Exploiting Multi-Class Output Codes | |
| Maria Florina Balcan, Travis Dick, Yishay Mansour |
| Robust Partially-Compressed Least-Squares | |
| Stephen Becker, Ban Kawas, Marek Petrik |
| Learning Residual Alternating Automata | |
| Sebastian Berndt, Maciej Liśkiewicz, Matthias Lutter, Rüdiger Reischuk |
| Resource Constrained Structured Prediction | |
| Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama |
| Cross-Domain Kernel Induction for Transfer Learning | |
| Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang |
| Informative Subspace Learning for Counterfactual Inference | |
| Yale Chang, Jennifer G. Dy |
| PAC Identification of a Bandit Arm Relative to a Reward Quantile | |
| Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan |
| Classification with Minimax Distance Measures | |
| Morteza Haghir Chehreghani |
| Latent Discriminant Analysis with Representative Feature Discovery | |
| Gang Chen |
| Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting | |
| Lin Chen, Hamed Hassani, Amin Karbasi |
| Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis | |
| Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen |
| Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features | |
| Zihao Chen, Luo Luo, Zhihua Zhang |
| OFFER: Off-Environment Reinforcement Learning | |
| Kamil Andrzej Ciosek, Shimon Whiteson |
| Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests | |
| Zachary Alan Daniels, Dimitris N. Metaxas |
| Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction | |
| Sakyasingha Dasgupta, Takayuki Osogami |
| Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems | |
| Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli |
| Scalable Multitask Policy Gradient Reinforcement Learning | |
| Salam El Bsat, Haitham Bou Ammar, Matthew E. Taylor |
| From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach | |
| Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models | |
| Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell |
| Structure Regularized Unsupervised Discriminant Feature Analysis | |
| Mingyu Fan, Xiaojun Chang, Dacheng Tao |
| Self-Paced Learning: An Implicit Regularization Perspective | |
| Yanbo Fan, Ran He, Jian Liang, Baogang Hu |
| Deep MIML Network | |
| Ji Feng, Zhi-Hua Zhou |
| Modeling Skewed Class Distributions by Reshaping the Concept Space | |
| Kyle D. Feuz, Diane J. Cook |
| On Learning High Dimensional Structured Single Index Models | |
| Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert Nowak |
| Local Centroids Structured Non-Negative Matrix Factorization | |
| Hongchang Gao, Feiping Nie, Heng Huang |
| Low-Rank Factorization of Determinantal Point Processes | |
| Mike Gartrell, Ulrich Paquet, Noam Koenigstein |
| Robust Loss Functions under Label Noise for Deep Neural Networks | |
| Aritra Ghosh, Himanshu Kumar, P. S. Sastry |
| Exploring Commonality and Individuality for Multi-Modal Curriculum Learning | |
| Chen Gong |
| MPGL: An Efficient Matching Pursuit Method for Generalized LASSO | |
| Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi |
| Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected | |
| Aditya Gopalan, Prashanth L. A., Michael Fu, Steve Marcus |
| Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm | |
| Xiawei Guo, Quanming Yao, James Tin-Yau Kwok |
| Convex Co-Embedding for Matrix Completion with Predictive Side Information | |
| Yuhong Guo |
| Continuous Conditional Dependency Network for Structured Regression | |
| Chao Han, Mohamed Ghalwash, Zoran Obradovic |
| Bilateral k-Means Algorithm for Fast Co-Clustering | |
| Junwei Han, Kun Song, Feiping Nie, Xuelong Li |
| Alternating Back-Propagation for Generator Network | |
| Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu |
| Enumerate Lasso Solutions for Feature Selection | |
| Satoshi Hara, Takanori Maehara |
| Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling | |
| Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi |
| Learning Invariant Deep Representation for NIR-VIS Face Recognition | |
| Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan |
| A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression | |
| Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low |
| Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation | |
| Peng Hou, Xin Geng, Zeng-Wei Huo, Jia-Qi Lv |
| Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems | |
| Brian Hrolenok, Byron Boots, Tucker Hybinette Balch |
| Sequential Classification-Based Optimization for Direct Policy Search | |
| Yi-Qi Hu, Hong Qian, Yang Yu |
| A Riemannian Network for SPD Matrix Learning | |
| Zhiwu Huang, Luc Van Gool |
| Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization | |
| Zhouyuan Huo, Heng Huang |
| Learning Unitary Operators with Help From u(n) | |
| Stephanie L. Hyland, Gunnar Rätsch |
| Denoising Criterion for Variational Auto-Encoding Framework | |
| Daniel Im Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio |
| Recovering True Classifier Performance in Positive-Unlabeled Learning | |
| Shantanu Jain, Martha White, Predrag Radivojac |
| Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning | |
| Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu |
| Twin Learning for Similarity and Clustering: A Unified Kernel Approach | |
| Zhao Kang, Chong Peng, Qiang Cheng |
| Tunable Sensitivity to Large Errors in Neural Network Training | |
| Gil Keren, Sivan Sabato, Björn Schuller |
| Binary Embedding with Additive Homogeneous Kernels | |
| Saehoon Kim, Seungjin Choi |
| Structured Inference Networks for Nonlinear State Space Models | |
| Rahul G. Krishnan, Uri Shalit, David Sontag |
| Estimating Uncertainty Online Against an Adversary | |
| Volodymyr Kuleshov, Stefano Ermon |
| Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance | |
| Atsutoshi Kumagai, Tomoharu Iwata |
| Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration | |
| Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz |
| Dynamic Action Repetition for Deep Reinforcement Learning | |
| Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran |
| Playing FPS Games with Deep Reinforcement Learning | |
| Guillaume Lample, Devendra Singh Chaplot |
| Transfer Reinforcement Learning with Shared Dynamics | |
| Romain Laroche, Merwan Barlier |
| Transfer Learning for Deep Learning on Graph-Structured Data | |
| Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon |
| Efficient Online Model Adaptation by Incremental Simplex Tableau | |
| Zhixian Lei, Xuehan Ye, Yongcai Wang, Deying Li, Jia Xu |
| Multivariate Hawkes Processes for Large-Scale Inference | |
| Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos |
| Self-Paced Multi-Task Learning | |
| Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha |
| Infinitely Many-Armed Bandits with Budget Constraints | |
| Haifang Li, Yingce Xia |
| Sparse Subspace Clustering by Learning Approximation ℓ0 Codes | |
| Jun Li, Yu Kong, Yun Fu |
| Riemannian Submanifold Tracking on Low-Rank Algebraic Variety | |
| Qian Li, Zhichao Wang |
| Large Graph Hashing with Spectral Rotation | |
| Xuelong Li, Di Hu, Feiping Nie |
| Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting | |
| Xutao Li, Yunming Ye, Xiaofei Xu |
| Learning Safe Prediction for Semi-Supervised Regression | |
| Yu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou |
| A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis | |
| Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin |
| Balanced Clustering with Least Square Regression | |
| Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li |
| Ordinal Constrained Binary Code Learning for Nearest Neighbor Search | |
| Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang |
| Sparse Deep Transfer Learning for Convolutional Neural Network | |
| Jiaming Liu, Yali Wang, Yu Qiao |
| Cost-Sensitive Feature Selection via F-Measure Optimization Reduction | |
| Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao |
| Multiple Kernel k-Means with Incomplete Kernels | |
| Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu |
| Optimal Neighborhood Kernel Clustering with Multiple Kernels | |
| Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin |
| Generalization Analysis for Ranking Using Integral Operator | |
| Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang |
| Infinite Kernel Learning: Generalization Bounds and Algorithms | |
| Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang |
| Accelerated Variance Reduced Stochastic ADMM | |
| Yuanyuan Liu, Fanhua Shang, James Cheng |
| Semi-Supervised Classifications via Elastic and Robust Embedding | |
| Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang |
| Approximate Conditional Gradient Descent on Multi-Class Classification | |
| Zhuanghua Liu, Ivor Tsang |
| Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling | |
| Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander Hauptmann, Qinghua Zheng |
| Active Search for Sparse Signals with Region Sensing | |
| Yifei Ma, Roman Garnett, Jeff Schneider |
| Where to Add Actions in Human-in-the-Loop Reinforcement Learning | |
| Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popović |
| Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction | |
| Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu |
| Generalization Error Bounds for Optimization Algorithms via Stability | |
| Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu |
| When and Why Are Deep Networks Better Than Shallow Ones? | |
| Hrushikesh Mhaskar, Qianli Liao, Tomaso Poggio |
| Lifted Inference for Convex Quadratic Programs | |
| Martin Mladenov, Leonard Kleinhans, Kristian Kersting |
| Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions | |
| Alejandro Molina, Sriraam Natarajan, Kristian Kersting |
| Deep Collective Inference | |
| John Moore, Jennifer Neville |
| Streaming Classification with Emerging New Class by Class Matrix Sketching | |
| Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou |
| Deep Hashing: A Joint Approach for Image Signature Learning | |
| Yadong Mu, Zhu Liu |
| Tsallis Regularized Optimal Transport and Ecological Inference | |
| Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen |
| The Multivariate Generalised von Mises Distribution: Inference and Applications | |
| Alexandre K. W. Navarro, Jes Frellsen, Richard E. Turner |
| Querying Partially Labelled Data to Improve a K-nn Classifier | |
| Vu-Linh Nguyen, Sébastien Destercke, Marie-Helene Masson |
| Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours | |
| Feiping Nie, Guohao Cai, Xuelong Li |
| Multiclass Capped ℓp-Norm SVM for Robust Classifications | |
| Feiping Nie, Xiaoqian Wang, Heng Huang |
| Unsupervised Large Graph Embedding | |
| Feiping Nie, Wei Zhu, Xuelong Li |
| Matching Node Embeddings for Graph Similarity | |
| Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis |
| Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier | |
| U.N. Niranjan, Arun Rajkumar |
| Active Search in Intensionally Specified Structured Spaces | |
| Dino Oglic, Roman Garnett, Thomas Gaertner |
| Top-k Hierarchical Classification | |
| Sechan Oh |
| Unimodal Thompson Sampling for Graph-Structured Arms | |
| Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti |
| Accelerated Gradient Temporal Difference Learning | |
| Yangchen Pan, Adam White, Martha White |
| A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization | |
| Hanyang Peng, Yong Fan |
| Cascade Subspace Clustering | |
| Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi |
| Column Networks for Collective Classification | |
| Trang Pham, Truyen Tran, Dinh Phung, Svetha Venkatesh |
| A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters | |
| Reihaneh Rabbany, Osmar R. Zaïane |
| Non-Negative Inductive Matrix Completion for Discrete Dyadic Data | |
| Piyush Rai |
| Online Active Linear Regression via Thresholding | |
| Carlos Riquelme, Ramesh Johari, Baosen Zhang |
| Adaptive Proximal Average Approximation for Composite Convex Minimization | |
| Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma |
| Random Features for Shift-Invariant Kernels with Moment Matching | |
| Weiwei Shen, Zhihui Yang, Jun Wang |
| Compressed K-Means for Large-Scale Clustering | |
| Xiaobo Shen, Weiwei Liu, Ivor Tsang, Fumin Shen, Quan-Sen Sun |
| Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks | |
| Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao |
| Asymmetric Discrete Graph Hashing | |
| Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang |
| Spectral Clustering with Brainstorming Process for Multi-View Data | |
| Jeong-Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim |
| Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning | |
| Kun Song, Feiping Nie, Junwei Han, Xuelong Li |
| Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis | |
| Xiaonan Song, Haiping Lu |
| Distributed Negative Sampling for Word Embeddings | |
| Stergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis |
| Label-Free Supervision of Neural Networks with Physics and Domain Knowledge | |
| Russell Stewart, Stefano Ermon |
| Unsupervised Learning with Truncated Gaussian Graphical Models | |
| Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin |
| Automatic Curriculum Graph Generation for Reinforcement Learning Agents | |
| Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone |
| Self-Correcting Models for Model-Based Reinforcement Learning | |
| Erik Talvitie |
| Distant Domain Transfer Learning | |
| Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang |
| Confidence-Rated Discriminative Partial Label Learning | |
| Cai-Zhi Tang, Min-Ling Zhang |
| Cross-Domain Ranking via Latent Space Learning | |
| Jie Tang, Wendy Hall |
| How to Train a Compact Binary Neural Network with High Accuracy? | |
| Wei Tang, Gang Hua, Liang Wang |
| Policy Search with High-Dimensional Context Variables | |
| Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama |
| Coactive Critiquing: Elicitation of Preferences and Features | |
| Stefano Teso, Paolo Dragone, Andrea Passerini |
| Importance Sampling with Unequal Support | |
| Philip S. Thomas, Emma Brunskill |
| Achieving Privacy in the Adversarial Multi-Armed Bandit | |
| Aristide Charles Yedia Tossou, Christos Dimitrakakis |
| Thompson Sampling for Stochastic Bandits with Graph Feedback | |
| Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt Dubhashi |
| Selecting Sequences of Items via Submodular Maximization | |
| Sebastian Tschiatschek, Adish Singla, Andreas Krause |
| Variable Kernel Density Estimation in High-Dimensional Feature Spaces | |
| Christiaan Maarten van der Walt, Etienne Barnard |
| Regularization for Unsupervised Deep Neural Nets | |
| Baiyang Wang, Diego Klabjan |
| Relational Deep Learning: A Deep Latent Variable Model for Link Prediction | |
| Hao Wang, Xingjian Shi, Dit-Yan Yeung |
| Factorization Bandits for Interactive Recommendation | |
| Huazheng Wang, Qingyun Wu, Hongning Wang |
| Latent Smooth Skeleton Embedding | |
| Li Wang, Qi Mao, Ivor W. Tsang |
| Polynomial Optimization Methods for Matrix Factorization | |
| Po-Wei Wang, Chun-Liang Li, J. Zico Kolter |
| Two-Dimensional PCA with F-Norm Minimization | |
| Qianqian Wang, Quanxue Gao |
| Feature Selection Guided Auto-Encoder | |
| Shuyang Wang, Zhengming Ding, Yun Fu |
| Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation | |
| Wei Wang, Hao Wang, Chen Zhang, Yang Gao |
| Fast Online Incremental Learning on Mixture Streaming Data | |
| Yi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo |
| Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation | |
| Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang |
| Unbiased Multivariate Correlation Analysis | |
| Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia |
| Beyond RPCA: Flattening Complex Noise in the Frequency Domain | |
| Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao |
| Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding | |
| Zeyi Wen, Bin Li, Ramamohanarao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang |
| Rank Ordering Constraints Elimination with Application for Kernel Learning | |
| Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu |
| Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming | |
| Hai-Ming Xu, Hui Xue, Xiao-Hong Chen, Yun-Yun Wang |
| Cleaning the Null Space: A Privacy Mechanism for Predictors | |
| Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer |
| Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee | |
| Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang |
| A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning | |
| Zheng Xu, Junzhou Huang |
| Multi-View Correlated Feature Learning by Uncovering Shared Component | |
| Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao |
| A Framework of Online Learning with Imbalanced Streaming Data | |
| Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen |
| TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records | |
| Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guotong Xie, Junfeng Zhao, Bing Xie, Fei Wang |
| Deep Learning for Fixed Model Reuse | |
| Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou |
| Learning Deep Latent Space for Multi-Label Classification | |
| Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang |
| A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information | |
| Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit Dhillon, Chih-Jen Lin |
| SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient | |
| Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu |
| CBRAP: Contextual Bandits with RAndom Projection | |
| Xiaotian Yu, Michael R. Lyu, Irwin King |
| An Exact Penalty Method for Binary Optimization Based on MPEC Formulation | |
| Ganzhao Yuan, Bernard Ghanem |
| Scalable Feature Selection via Distributed Diversity Maximization | |
| Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab Mirrokni, Morteza Zadimoghaddam |
| Fast Compressive Phase Retrieval under Bounded Noise | |
| Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu |
| Query-Efficient Imitation Learning for End-to-End Simulated Driving | |
| Jiakai Zhang, Kyunghyun Cho |
| Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning | |
| Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu |
| Universum Prescription: Regularization Using Unlabeled Data | |
| Xiang Zhang, Yann LeCun |
| Learning Sparse Task Relations in Multi-Task Learning | |
| Yu Zhang, Qiang Yang |
| Multi-View Clustering via Deep Matrix Factorization | |
| Handong Zhao, Zhengming Ding, Yun Fu |
| SCOPE: Scalable Composite Optimization for Learning on Spark | |
| Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li |
| Lock-Free Optimization for Non-Convex Problems | |
| Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li |
| Scalable Graph Embedding for Asymmetric Proximity | |
| Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao |
| Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations | |
| Yang Zhou, Haiping Lu, Yiu-ming Cheung |
| Parametric Dual Maximization for Non-Convex Learning Problems | |
| Yuxun Zhou, Zhaoyi Kang, Costas J. Spanos |
| One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace | |
| Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu |
| Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification | |
| Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu |
| Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning | |
| Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
Multiagent Systems
| Improving Surveillance Using Cooperative Target Observation | |
| Rashi Aswani, Sai Krishna Munnangi, Praveen Paruchuri |
| Query Complexity of Tournament Solutions | |
| Palash Dey |
| Centralized versus Personalized Commitments and Their Influence on Cooperation in Group Interactions | |
| The Anh Han, Luis Moniz Pereira, Luis A. Martinez-Vaquero, Tom Lenaerts |
| Kont: Computing Tradeoffs in Normative Multiagent Systems | |
| Ozgur Kafali, Nirav Ajmeri, Munindar P. Singh |
| Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction | |
| Panagiotis Kouvaros, Alessio Lomuscio |
| Decentralized Planning in Stochastic Environments with Submodular Rewards | |
| Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar |
| Solving Seven Open Problems of Offline and Online Control in Borda Elections | |
| Marc Neveling, Jörg Rothe |
| Collective Multiagent Sequential Decision Making Under Uncertainty | |
| Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau |
| Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting | |
| Igor Rochlin, David Sarne, Maytal Bremer, Ben Grynhaus |
Natural Language Processing and Knowledge Representation
| Improving Multi-Document Summarization via Text Classification | |
| Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei |
| Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions | |
| Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao |
| Neural Bag-of-Ngrams | |
| Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du |
| SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents | |
| Ramesh Nallapati, Feifei Zhai, Bowen Zhou |
| Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving | |
| Subhro Roy, Dan Roth |
| Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems | |
| Saku Sugawara, Hikaru Yokono, Akiko Aizawa |
| Neural Machine Translation with Reconstruction | |
| Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li |
| SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions | |
| Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu |
| Efficiently Answering Technical Questions — A Knowledge Graph Approach | |
| Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen |
| Incorporating Knowledge Graph Embeddings into Topic Modeling | |
| Liang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen |
| A Context-Enriched Neural Network Method for Recognizing Lexical Entailment | |
| Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv |
Natural Language Processing and Machine Learning
| Bayesian Neural Word Embedding | |
| Oren Barkan |
| Improving Word Embeddings with Convolutional Feature Learning and Subword Information | |
| Shaosheng Cao, Wei Lu |
| Joint Copying and Restricted Generation for Paraphrase | |
| Ziqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li |
| Unsupervised Learning of Evolving Relationships Between Literary Characters | |
| Snigdha Chaturvedi, Mohit Iyyer, Hal Daume III |
| Translation Prediction with Source Dependency-Based Context Representation | |
| Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu |
| Maximum Reconstruction Estimation for Generative Latent-Variable Models | |
| Yong Cheng, Yang Liu, Wei Xu |
| Incorporating Expert Knowledge into Keyphrase Extraction | |
| Sujatha Das Gollapalli, Xiao-li Li, Peng Yang |
| Unsupervised Learning for Lexicon-Based Classification | |
| Jacob Eisenstein |
| Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge | |
| Matt Gardner, Jayant Krishnamurthy |
| Geometry of Compositionality | |
| Hongyu Gong, Suma Bhat, Pramod Viswanath |
| Disambiguating Spatial Prepositions Using Deep Convolutional Networks | |
| Kaveh Hassani, Won-Sook Lee |
| A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media | |
| Hangfeng He, Xu Sun |
| Recurrent Attentional Topic Model | |
| Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang |
| Representations of Context in Recognizing the Figurative and Literal Usages of Idioms | |
| Changsheng Liu, Rebecca Hwa |
| Deterministic Attention for Sequence-to-Sequence Constituent Parsing | |
| Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita |
| S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions | |
| Xian-Ling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen |
| Coherent Dialogue with Attention-Based Language Models | |
| Hongyuan Mei, Mohit Bansal, Matthew R. Walter |
| Definition Modeling: Learning to Define Word Embeddings in Natural Language | |
| Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey |
| Incrementally Learning the Hierarchical Softmax Function for Neural Language Models | |
| Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu |
| Condensed Memory Networks for Clinical Diagnostic Inferencing | |
| Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan, Vivek Datla, Kathy Lee, Ashequl Qadir, Joey Liu, Oladimeji Farri |
| Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network | |
| Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme |
| Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation | |
| Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron Courville |
| A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues | |
| Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron Courville, Yoshua Bengio |
| Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation | |
| Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu |
| Semantic Parsing with Neural Hybrid Trees | |
| Raymond Hendy Susanto, Wei Lu |
| Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms | |
| Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao |
| Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding | |
| Xiaolong Wang, Jingjing Wang, Chengxiang Zhai |
| Neural Machine Translation Advised by Statistical Machine Translation | |
| Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang |
| A Dynamic Window Neural Network for CCG Supertagging | |
| Huijia Wu, Jiajun Zhang, Chengqing Zong |
| Distinguish Polarity in Bag-of-Words Visualization | |
| Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok Choudhary |
| Topic Aware Neural Response Generation | |
| Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma |
| Variational Autoencoder for Semi-Supervised Text Classification | |
| Weidi Xu, Haoze Sun, Chao Deng, Ying Tan |
| Neural Models for Sequence Chunking | |
| Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou |
| BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings | |
| Biao Zhang, Deyi Xiong, Jinsong Su |
| Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision | |
| Meng Zhang, Haoruo Peng, Yang Liu, Huanbo Luan, Maosong Sun |
| Active Discriminative Text Representation Learning | |
| Ye Zhang, Matthew Lease, Byron C. Wallace |
| Learning Context-Specific Word/Character Embeddings | |
| Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang |
| Mechanism-Aware Neural Machine for Dialogue Response Generation | |
| Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He |
Natural Language Processing and Text Mining
| Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora | |
| Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen |
| Using Discourse Signals for Robust Instructor Intervention Prediction | |
| Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman |
| Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression | |
| Yanju Chen, Rong Pan |
| Unsupervised Sentiment Analysis with Signed Social Networks | |
| Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu |
| Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction | |
| Ying Ding, Jianfei Yu, Jing Jiang |
| Distant Supervision via Prototype-Based Global Representation Learning | |
| Xianpei Han, Le Sun |
| What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM | |
| Linmei Hu, Juanzi Li, Liqiang Nie, Xiao-Li Li, Chao Shao |
| Efficient Dependency-Guided Named Entity Recognition | |
| Zhanming Jie, Aldrian Obaja Muis, Wei Lu |
| Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks | |
| Canasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka |
| Efficiently Mining High Quality Phrases from Texts | |
| Bing Li, Xiaochun Yang, Bin Wang, Wei Cui |
| Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis | |
| Hao Li, Wei Lu |
| Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings | |
| Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu |
| Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization | |
| Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing |
| Collaborative User Clustering for Short Text Streams | |
| Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas |
| Word Embedding Based Correlation Model for Question/Answer Matching | |
| Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong |
| Greedy Flipping for Constrained Word Deletion | |
| Jin-ge Yao, Xiaojun Wan |
| Attentive Interactive Neural Networks for Answer Selection in Community Question Answering | |
| Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang |
| Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning | |
| Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang |
Planning and Scheduling
| Plan Reordering and Parallel Execution — A Parameterized Complexity View | |
| Meysam Aghighi, Christer Bäckström |
| Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal Logic | |
| Alessandro Cimatti, Andrea Micheli, Marco Roveri |
| On the Disruptive Effectiveness of Automated Planning for LTLf-Based Trace Alignment | |
| Giuseppe De Giacomo, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi |
| Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs | |
| Frits de Nijs, Erwin Walraven, Mathijs M. de Weerdt, Matthijs T. J. Spaan |
| Optimizing Quantiles in Preference-Based Markov Decision Processes | |
| Hugo Gilbert, Paul Weng, Yan Xu |
| An Analysis of Monte Carlo Tree Search | |
| Steven James, George Konidaris, Benjamin Rosman |
| An Efficient Approach to Model-Based Hierarchical Reinforcement Learning | |
| Zhuoru Li, Akshay Narayan, Tze-Yun Leong |
| Best-First Width Search: Exploration and Exploitation in Classical Planning | |
| Nir Lipovetzky, Hector Geffner |
| Robust Execution of Probabilistic Temporal Plans | |
| Kyle Lund, Sam Dietrich, Scott Chow, James C. Boerkoel |
| Multi-Agent Path Finding with Delay Probabilities | |
| Hang Ma, T. K. Satish Kumar, Sven Koenig |
| Logical Filtering and Smoothing: State Estimation in Partially Observable Domains | |
| Brent Mombourquette, Christian Muise, Sheila A. McIlraith |
| Landmark-Based Heuristics for Goal Recognition | |
| Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi |
| Fast SSP Solvers Using Short-Sighted Labeling | |
| Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein |
| Higher-Dimensional Potential Heuristics for Optimal Classical Planning | |
| Florian Pommerening, Malte Helmert, Blai Bonet |
| Schematic Invariants by Reduction to Ground Invariants | |
| Jussi Rintanen |
| Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning | |
| Jendrik Seipp, Thomas Keller, Malte Helmert |
| Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning | |
| Vikas Shivashankar, Ron Alford, David W. Aha |
| Computational Issues in Time-Inconsistent Planning | |
| Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu |
| Accelerated Vector Pruning for Optimal POMDP Solvers | |
| Erwin Walraven, Matthijs T. J. Spaan |
| When to Reset Your Keys: Optimal Timing of Security Updates via Learning | |
| Zizhan Zheng, Ness B. Shroff, Prasant Mohapatra |
| Human-Aware Plan Recognition | |
| Hankz Hankui Zhuo |
Reasoning under Uncertainty
| Minimal Undefinedness for Fuzzy Answer Sets | |
| Mario Alviano, Giovanni Amendola, Rafael Peñaloza |
| Open-Universe Weighted Model Counting | |
| Vaishak Belle |
| Deterministic versus Probabilistic Methods for Searching for an Evasive Target | |
| Sara Bernardini, Maria Fox, Derek Long, Chiara Piacentini |
| Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces | |
| Alberto Camacho, Eleni Triantafillou, Christian Muise, Jorge A. Baier, Sheila A. McIlraith |
| Optimizing Expectation with Guarantees in POMDPs | |
| Krishnendu Chatterjee, Petr Novotný, Guillermo A. Pérez, Jean-François Raskin, Đorđe Žikelić |
| Latent Dependency Forest Models | |
| Shanbo Chu, Yong Jiang, Kewei Tu |
| Causal Effect Identification by Adjustment under Confounding and Selection Biases | |
| Juan D. Correa, Elias Bareinboim |
| The Linearization of Belief Propagation on Pairwise Markov Random Fields | |
| Wolfgang Gatterbauer |
| The Kernel Kalman Rule — Efficient Nonparametric Inference with Recursive Least Squares | |
| Gregor H. W. Gebhardt, Andras Kupcsik, Gerhard Neumann |
| Misspecified Linear Bandits | |
| Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan |
| Reasoning about Cognitive Trust in Stochastic Multiagent Systems | |
| Xiaowei Huang, Marta Zofia Kwiatkowska |
| Anytime Best+Depth-First Search for Bounding Marginal MAP | |
| Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter |
| Multi-Objective Influence Diagrams with Possibly Optimal Policies | |
| Radu Marinescu, Abdul Razak, Nic Wilson |
| Hindsight Optimization for Hybrid State and Action MDPs | |
| Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern |
| I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior | |
| Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf |
| Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties | |
| Zhen Zhang, Qinfeng Shi, Julian McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel |
Robotics
| Deep Learning Quadcopter Control via Risk-Aware Active Learning | |
| Olov Andersson, Mariusz Wzorek, Patrick Doherty |
| Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot | |
| Paul Duckworth, Muhannad Alomari, James Charles, David C. Hogg, Anthony G. Cohn |
| Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps | |
| Vitor Campanholo Guizilini, Fabio Tozeto Ramos |
| Grounded Action Transformation for Robot Learning in Simulation | |
| Josiah P. Hanna, Peter Stone |
| A Diversified Generative Latent Variable Model for WiFi-SLAM | |
| Hao Xiong, Dacheng Tao |
| Associate Latent Encodings in Learning from Demonstrations | |
| Hang Yin, Francisco S. Melo, Aude Billard, Ana Paiva |
| Dynamically Constructed (PO)MDPs for Adaptive Robot Planning | |
| Shiqi Zhang, Piyush Khandelwal, Peter Stone |
Search and Constraint Satisfaction
| A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability Problem | |
| Thomas Caridroit, Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail |
| A BTP-Based Family of Variable Elimination Rules for Binary CSPs | |
| Achref El Mouelhi |
| Algorithms for Deciding Counting Quantifiers over Unary Predicates | |
| Marcelo Finger, Glauber De Bona |
| Maximum Model Counting | |
| Daniel J. Fremont, Markus N. Rabe, Sanjit A. Seshia |
| Phase Transitions for Scale-Free SAT Formulas | |
| Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton |
| The Opacity of Backbones | |
| Lane A. Hemaspaandra, David E. Narváez |
| Between Subgraph Isomorphism and Maximum Common Subgraph | |
| Ruth Hoffmann, Ciaran McCreesh, Craig Reilly |
| Should Algorithms for Random SAT and Max-SAT Be Different? | |
| Sixue Liu, Gerard de Melo |
| Soft and Cost MDD Propagators | |
| Guillaume Perez, Jean-Charles Régin |
| Rigging Nearly Acyclic Tournaments Is Fixed-Parameter Tractable | |
| M. S. Ramanujan, Stefan Szeider |
| RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem | |
| Saeedeh Shekarpour, Edgard Marx, Sören Auer, Amit Sheth |
| CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP Solver | |
| Cornelis Jan van Leeuwen, Przemyslaw Pawelczak |
| Extending Compact-Table to Negative and Short Tables | |
| Hélène Verhaeghe, Christophe Lecoutre, Pierre Schaus |
| General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis | |
| Colin Wei, Stefano Ermon |
Vision
| Regularized Diffusion Process for Visual Retrieval | |
| Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki |
| Collective Deep Quantization for Efficient Cross-Modal Retrieval | |
| Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu |
| Reference Based LSTM for Image Captioning | |
| Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han |
| A Multi-Task Deep Network for Person Re-Identification | |
| Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang |
| VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem | |
| Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni |
| Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval | |
| Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang |
| Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition | |
| Zhen Dong, Su Jia, Chi Zhang, Mingtao Pei, Yuwei Wu |
| Sherlock: Scalable Fact Learning in Images | |
| Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian Price, Ahmed Elgammal |
| Robust Visual Tracking via Local-Global Correlation Filter | |
| Heng Fan, Jinhai Xiang |
| DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos | |
| Chuang Gan, Chen Sun, Ram Nevatia |
| Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network | |
| Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji |
| Active Video Summarization: Customized Summaries via On-line Interaction with the User | |
| Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan |
| Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution | |
| Jun Guo, Hongyang Chao |
| Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels | |
| Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao |
| Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification | |
| Emily M. Hand, Rama Chellappa |
| Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification | |
| Xiangteng He, Yuxin Peng |
| Video Recovery via Learning Variation and Consistency of Images | |
| Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang |
| Nonnegative Orthogonal Graph Matching | |
| Bo Jiang, Jin Tang, Chris Ding, Bin Luo |
| Multi-Path Feedback Recurrent Neural Networks for Scene Parsing | |
| Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan |
| Detection and Recognition of Text Embedded in Online Images via Neural Context Models | |
| Chulmoo Kang, Gunhee Kim, Suk I. Yoo |
| Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network | |
| Suha Kwak, Seunghoon Hong, Bohyung Han |
| Robust MIL-Based Feature Template Learning for Object Tracking | |
| Xiangyuan Lan, Pong C. Yuen, Rama Chellappa |
| Learning Patch-Based Dynamic Graph for Visual Tracking | |
| Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang |
| Image Caption with Global-Local Attention | |
| Linghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian |
| Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models | |
| Siyi Li, Dit-Yan Yeung |
| A Multiview-Based Parameter Free Framework for Group Detection | |
| Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang |
| Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment | |
| Zechao Li, Jinhui Tang |
| TextBoxes: A Fast Text Detector with a Single Deep Neural Network | |
| Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu |
| An Artificial Agent for Robust Image Registration | |
| Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu |
| Attention Correctness in Neural Image Captioning | |
| Chenxi Liu, Junhua Mao, Fei Sha, Alan Yuille |
| Boosting Complementary Hash Tables for Fast Nearest Neighbor Search | |
| Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li |
| Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition | |
| Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin |
| Video Captioning with Listwise Supervision | |
| Yuan Liu, Xue Li, Zhongchao Shi |
| Closing the Loop for Edge Detection and Object Proposals | |
| Yao Lu, Linda Shapiro |
| Learning Discriminative Activated Simplices for Action Recognition | |
| Chenxu Luo, Chang Ma, Chunyu Wang, Yizhou Wang |
| Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization | |
| Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou |
| Online Multi-Target Tracking Using Recurrent Neural Networks | |
| Anton Milan, S. Hamid Rezatofighi, Anthony Dick, Ian Reid, Konrad Schindler |
| Text-Guided Attention Model for Image Captioning | |
| Jonghwan Mun, Minsu Cho, Bohyung Han |
| Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation | |
| Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong |
| Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters | |
| A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo |
| Privacy-Preserving Human Activity Recognition from Extreme Low Resolution | |
| Michael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang |
| An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data | |
| Sijie Song, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jiaying Liu |
| Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs | |
| Xinhang Song, Luis Herranz, Shuqiang Jiang |
| Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning | |
| Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A Alemi |
| Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity | |
| Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu |
| Quantifying and Detecting Collective Motion by Manifold Learning | |
| Qi Wang, Mulin Chen, Xuelong Li |
| Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing | |
| Yuanlu Xu, Xiaobai Liu, Lei Qin, Song-Chun Zhu |
| Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification | |
| Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li |
| Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines | |
| Arjun Yogeswaran, Pierre Payeur |
| Efficient Object Instance Search Using Fuzzy Objects Matching | |
| Tan Yu, Yuwei Wu, Sreyasee Bhattacharjee, Junsong Yuan |
| Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks | |
| Xin Yu, Fatih Porikli |
| Leveraging Video Descriptions to Learn Video Question Answering | |
| Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun |
| Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image | |
| Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng |
Special Track on Cognitive Systems
| Natural Language Acquisition and Grounding for Embodied Robotic Systems | |
| Muhannad Alomari, Paul Duckworth, David C. Hogg, Anthony G. Cohn |
| Analogical Chaining with Natural Language Instruction for Commonsense Reasoning | |
| Joseph A. Blass, Kenneth D. Forbus |
| Inductive Reasoning about Ontologies Using Conceptual Spaces | |
| Zied Bouraoui, Shoaib Jameel, Steven Schockaert |
| Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising Robot | |
| Mason Bretan, Gil Weinberg |
| Imagined Visual Representations as Multimodal Embeddings | |
| Guillem Collell, Ted Zhang, Marie-Francine Moens |
| Goal Operations for Cognitive Systems | |
| Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta |
| Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge | |
| Wang-Zhou Dai, Zhi-Hua Zhou |
| Reactive Versus Anticipative Decision Making in a Novel Gift-Giving Game | |
| Elias Fernández Domingos, Juan Carlos Burguillo, Tom Lenaerts |
| Towards Continuous Scientific Data Analysis and Hypothesis Evolution | |
| Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick |
| Flexible Model Induction through Heuristic Process Discovery | |
| Pat Langley, Adam Arvay |
| When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? | |
| Smitha Milli, Falk Lieder, Thomas L. Griffiths |
| Scanpath Complexity: Modeling Reading Effort Using Gaze Information | |
| Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya |
| Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis | |
| Abhishek Sharma, Keith M. Goolsbey |
| ConceptNet 5.5: An Open Multilingual Graph of General Knowledge | |
| Robyn Speer, Joshua Chin, Catherine Havasi |
| Towards a Brain Inspired Model of Self-Awareness for Sociable Agents | |
| Budhitama Subagdja, Ah-Hwee Tan |
| Semantic Proto-Role Labeling | |
| Adam Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley |
Special Track on Computational Sustainability
| Matrix Factorisation for Scalable Energy Breakdown | |
| Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse |
| Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data | |
| Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal |
| Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method | |
| Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans Oliehoek, Ulrich Fastenrath |
| Counting-Based Reliability Estimation for Power-Transmission Grids | |
| Leonardo Duenas-Osorio, Kuldeep S. Meel, Roger Paredes, Moshe Y. Vardi |
| Three New Algorithms to Solve N-POMDPs | |
| Yann Dujardin, Tom Dietterich, Iadine Chadès |
| Fine-Grained Car Detection for Visual Census Estimation | |
| Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei |
| Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning | |
| Andre R. Goncalves, Arindam Banerjee, Fernando J. Von Zuben |
| Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise | |
| Rebecca A. Hutchinson, Liqiang He, Sarah C. Emerson |
| Combining Satellite Imagery and Open Data to Map Road Safety | |
| Alameen Najjar, Shun’ichi Kaneko, Yoshikazu Miyanaga |
| Fast-Tracking Stationary MOMDPs for Adaptive Management Problems | |
| Martin Péron, Kai Helge Becker, Peter Bartlett, Iadine Chadès |
| Extracting Urban Microclimates from Electricity Bills | |
| Thuy Vu, D. Stott Parker |
| Robust Optimization for Tree-Structured Stochastic Network Design | |
| Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein |
| Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information | |
| Yexiang Xue, Xiaojian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes |
| Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data | |
| Jiaxuan You, Xiaocheng Li, Melvin Low, David Lobell, Stefano Ermon |
Special Track on Integrated Systems
| Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer’s Disease | |
| Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie, Xue Teng |
| Mixed Discrete-Continuous Planning with Convex Optimization | |
| Enrique Fernandez-Gonzalez, Erez Karpas, Brian Williams |
| Integration of Planning with Recognition for Responsive Interaction Using Classical Planners | |
| Richard G. Freedman, Shlomo Zilberstein |
| Configuration Planning with Temporal Constraints | |
| Uwe Köckemann, Lars Karlsson |
| Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination | |
| Yosef Razin, Karen Feigh |
| Vision-Language Fusion for Object Recognition | |
| Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime Carbonell, Jean Oh |
| State Projection via AI Planning | |
| Shirin Sohrabi, Anton V. Riabov, Octavian Udrea |
| Building Task-Oriented Dialogue Systems for Online Shopping | |
| Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li |
EAAI Symposium Full Papers
| ARTY: Fueling Creativity through Art, Robotics and Technology for Youth | |
| Debra T. Burhans, Karthik Dantu |
| Cornhole: A Widely-Accessible AI Robotics Task | |
| Nate Derbinsky, Tyler M. Frasca |
| A Summer Research Experience in Robotics | |
| Cindy M. Grimm, Alicia Lyman-Holt, William D. Smart |
| Creating Serious Robots That Improve Society | |
| Susan P. Imberman, Jean McManus, Gina Otts |
| Recovering Concept Prerequisite Relations from University Course Dependencies | |
| Chen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Lee Giles |
| Open-Ended Robotics Exploration Projects for Budding Researchers | |
| David R. Musicant, Abha Laddha, Tom Choi |
| Dude, Where's My Robot?: A Localization Challenge for Undergraduate Robotics | |
| Paul Ruvolo |
| A Monte Carlo Localization Assignment Using a Neato Vacuum with ROS | |
| Zuozhi Yang, Todd W. Neller |
| An Image Wherever You Look! Making Vision Just Another Sensor for AI/Robotics Projects | |
| Andy Zhang, John Lee, Ciante Jones, Zachary Dodds |
EAAI Symposium Poster Papers
| Application for AI-OCR Module: Auto Detection of Emails/Letter Images | |
| Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada |
| Exploring Artificial Intelligence Through Image Recognition | |
| Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada |
| Online SPARC for Drawing and Animation | |
| Elias Marcopoulos, Maede Rayatidamavandi, Crisel Suarez, Yuanlin Zhang |
| AI Projects for Computer Science Capstone Classes (Extended Abstract) | |
| Matthew E. Taylor, Sakire Arslan Ay |
EAAI Model AI Assignments
| Model AI Assignments 2017 | |
| Todd W. Neller, Joshua Eckroth, Sravana Reddy, Joshua Ziegler, Jason Bindewald, Gilbert Peterson, Thomas Way, Paula Matuszek, Lillian Cassel, Mary-Angela Papalaskari, Carol Weiss, Ariel Anders, Sertac Karaman |
Senior Member Blue Sky
| The AI Rebellion: Changing the Narrative | |
| David W. Aha, Alexandra Coman |
| Moral Decision Making Frameworks for Artificial Intelligence | |
| Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer |
| Why Teaching Ethics to AI Practitioners Is Important | |
| Judy Goldsmith, Emanuelle Burton |
| Strategic Social Network Analysis | |
| Tomasz P. Michalak, Talal Rahwan, Michael Wooldridge |
| Getting More Out of the Exposed Structure in Constraint Programming Models of Combinatorial Problems | |
| Gilles Pesant |
Senior Member Summary Talks
| A Selected Summary of AI for Computational Sustainability | |
| Douglas H. Fisher |
| Explaining Ourselves: Human-Aware Constraint Reasoning | |
| Eugene C. Freuder |
| Multi-Robot Allocation of Tasks with Temporal and Ordering Constraints | |
| Maria Gini |
| Progress and Challenges in Research on Cognitive Architectures | |
| Pat Langley |
| Machine Learning for Entity Coreference Resolution: A Retrospective Look at Two Decades of Research | |
| Vincent Ng |
| Incidental Supervision: Moving beyond Supervised Learning | |
| Dan Roth |
| Latent Tree Analysis | |
| Nevin L. Zhang, Leonard K. M. Poon |
Student Abstracts
| Improving Performance of Analogue Readout Layers for Photonic Reservoir Computers with Online Learning | |
| Piotr Antonik, Marc Haelterman, Serge Massar |
| Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback | |
| Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar |
| Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract) | |
| Masataro Asai, Alex Fukunaga |
| Frame-Based Ontology Alignment | |
| Luigi Asprino, Valentina Presutti, Aldo Gangemi, Paolo Ciancarini |
| Learning Options in Multiobjective Reinforcement Learning | |
| Rodrigo Cesar Bonini, Felipe Leno da Silva, Anna Helena Reali Costa |
| Towards User Personality Profiling from Multiple Social Networks | |
| Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua |
| Semantic Inference of Bird Songs Using Dynamic Bayesian Networks | |
| Keisuke Daimon, Richard W. Hedley, Charles E. Taylor |
| An Advising Framework for Multiagent Reinforcement Learning Systems | |
| Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa |
| Android Malware Detection with Weak Ground Truth Data | |
| Jordan DeLoach, Doina Caragea, Xinming Ou |
| Discovering Conversational Dependencies between Messages in Dialogs | |
| Wenchao Du, Pascal Poupart, Wei Xu |
| Coordinating Human and Agent Behavior in Collective-Risk Scenarios | |
| Elias Fernández Domingos, Juan Carlos Burguillo, Ann Nowé, Tom Lenaerts |
| The Complexity of Succinct Elections | |
| Zack Fitzsimmons, Edith Hemaspaandra |
| A Position-Biased PageRank Algorithm for Keyphrase Extraction | |
| Corina Florescu, Cornelia Caragea |
| Robust Stable Marriage | |
| Begum Genc, Mohamed Siala, Barry O'Sullivan, Gilles Simonin |
| Handwriting Profiling Using Generative Adversarial Networks | |
| Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury |
| Policy Reuse in Deep Reinforcement Learning | |
| Ruben Glatt, Anna Helena Reali Costa |
| Grounded Action Transformation for Robot Learning in Simulation | |
| Josiah P. Hanna, Peter Stone |
| Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation | |
| Josiah P. Hanna, Peter Stone, Scott Niekum |
| Fast Electrical Demand Optimization Under Real-Time Pricing | |
| Shan He, Mark Wallace, Campbell Wilson, Ariel Liebman |
| SReN: Shape Regression Network for Comic Storyboard Extraction | |
| Zheqi He, Yafeng Zhou, Yongtao Wang, Zhi Tang |
| Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost | |
| Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang |
| A Deep Learning Approach for Arabic Caption Generation Using Roots-Words | |
| Vasu Jindal |
| Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains | |
| Yuu Jinnai, Alex Fukunaga |
| Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering | |
| Wasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui |
| Redesigning Stochastic Environments for Maximized Utility | |
| Sarah Keren, Avigdor Gal, Erez Karpas, Luis Pineda, Shlomo Zilberstein |
| Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes | |
| Taylor W. Killian, George Konidaris, Finale Doshi-Velez |
| Wikitop: Using Wikipedia Category Network to Generate Topic Trees | |
| Saravana Kumar, Prasath Rengarajan, Arockia Xavier Annie |
| Predicting Mortality of Intensive Care Patients via Learning about Hazard | |
| Dae Hyun Lee, Eric Horvitz |
| Rethinking the Link Prediction Problem in Signed Social Networks | |
| Xiaoming Li, Hui Fang, Jie Zhang |
| ATSUM: Extracting Attractive Summaries for News Propagation on Microblogs | |
| Fang Liu, Xiaojun Wan |
| A Systematic Practice of Judging the Success of a Robotic Grasp Using Convolutional Neural Network | |
| Hengshuang Liu, Pengcheng Ai, Junling Chen |
| Neuron Learning Machine for Representation Learning | |
| Jia Liu, Maoguo Gong, Qiguang Miao |
| Community-Based Question Answering via Contextual Ranking Metric Network Learning | |
| Hanqing Lu, Ming Kong |
| Auto-Annotation of 3D Objects via ImageNet | |
| Huan Luo, Cheng Wang, Jonathan Li |
| Semantic Interpretation of Social Network Communities | |
| Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das |
| Extreme Gradient Boosting and Behavioral Biometrics | |
| Benjamin Manning |
| Plan Recognition Design | |
| Reuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech |
| Automatically Extracting Axioms in Classical Planning | |
| Shuwa Miura, Alex Fukunaga |
| SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL | |
| Akshay Narayan, Zhuoru Li, Tze-Yun Leong |
| Coalition Structure Generation Utilizing Graphical Representation of Partition Function Games | |
| Kazuki Nomoto, Yuko Sakurai, Makoto Yokoo |
| Audio Feature Learning with Triplet-Based Embedding Network | |
| Xiaoyu Qi, Deshun Yang, Xiaoou Chen |
| A Finite Memory Automaton for Two-Armed Bernoulli Bandit Problems | |
| Ariel Rao |
| Semantic Representation Using Explicit Concept Space Models | |
| Walid Ahmed Shalaby, Wlodek Zadrozny |
| A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty | |
| Wen Song, Donghun Kang, Jie Zhang, Hui Xi |
| PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures | |
| Nishant Subramani, Doug Downey |
| Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings | |
| Atena M. Tabakhi |
| Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition | |
| Nattapong Thammasan, Ken-ichi Fukui, Masayuki Numao |
| Predicting User Roles from Computer Logs Using Recurrent Neural Networks | |
| Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson |
| Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization | |
| Sunny Verma, Wei Liu, Chen Wang, Liming Zhu |
| Hybridizing Interval Temporal Logics: The First Step | |
| Przemysław Andrzej Wałęga |
| Boosting for Real-Time Multivariate Time Series Classification | |
| Haishuai Wang, Jun Wu |
| Semantic Connection Based Topic Evolution | |
| Jiamiao Wang |
| Keyphrase Extraction with Sequential Pattern Mining | |
| Qingren Wang, Victor S. Sheng, Xindong Wu |
| Cycle-Based Singleton Local Consistencies | |
| Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere |
| Evolutionary Machine Learning for RTS Game StarCraft | |
| Lianlong Wu, Andrew Markham |
| Enhancing the Privacy of Predictors | |
| Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer |
| Detecting Review Spammer Groups | |
| Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu |
| Attention Based LSTM for Target Dependent Sentiment Classification | |
| Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen |
| Authorship Attribution with Topic Drift Model | |
| Min Yang, Dingju Zhu, Yong Tang, Jingxuan Wang |
| Participatory Art Museum: Collecting and Modeling Crowd Opinions | |
| Xiaoyu Zeng, Ruohan Zhang |
| High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding | |
| Fandong Zhang, Jufu Feng |
| A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly | |
| Hao Zhang, Chunyan Miao, Han Yu, Cyril Leung |
| Natural Language Person Retrieval | |
| Tao Zhou, Jie Yu |
| User Modeling Using LSTM Networks | |
| Konrad Żołna, Bartłomiej Romański |
Doctoral Consortium
| Explainable Image Understanding Using Vision and Reasoning | |
| Somak Aditya |
| Problem Formulation for Accommodation Support in Plan-Based Interactive Narratives | |
| Adam Amos-Binks |
| An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams | |
| Muhammad Usman Arif |
| Accelerating Multiagent Reinforcement Learning through Transfer Learning | |
| Felipe Leno da Silva, Anna Helena Reali Costa |
| Improving Deep Reinforcement Learning with Knowledge Transfer | |
| Ruben Glatt, Anna Helena Reali Costa |
| Problems in Large-Scale Image Classification | |
| Yuchen Guo |
| Representations for Continuous Learning | |
| David Isele |
| Structured Prediction in Time Series Data | |
| Jia Li |
| A Supervised Sparse Learning Framework to Solve EEG Inverse Problem for Discriminative Activations Pattern | |
| Feng Liu |
| V for Verification: Intelligent Algorithm of Checking Reliability of Smart Systems | |
| Anna Lukina |
| Modelling Familiarity for Intelligent Personalized Social Mobilization | |
| Zhengxiang Pan |
| Transfer of Knowledge through Collective Learning | |
| Mohammad Rostami |
| Project Scheduling in Complex Business Environments | |
| Wen Song |
| Human-Like Spatial Reasoning Formalisms | |
| Przemyslaw Andrzej Walega |
| Joint Learning of Structural and Textual Features for Web Scale Event Extraction | |
| Julia Wiedmann |
| Scalable Nonparametric Tensor Analysis | |
| Shandian Zhe |
What's Hot
| SAT Competition 2016: Recent Developments | |
| Tomas Balyo, Marijn J. H. Heule, Matti Jarvisalo |
| What's Hot in Evolutionary Computation | |
| Tobias Friedrich, Frank Neumann |
| What's Hot in Case-Based Reasoning | |
| Ashok Goel, Belen Diaz-Agudo |
| Automated Negotiating Agents Competition (ANAC) | |
| Catholijn M. Jonker, Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Takayuki Ito, Koen Hindriks |
| What's Hot in Constraint Programming | |
| Laurent D. Michel, Michel Rueher |
| What's Hot at CPAIOR (Extended Abstract) | |
| Claude-Guy Quimper |
| The State of the AIIDE Conference in 2017 | |
| Nathan R. Sturtevant, Brian Magerko |
Demonstrations
| Deep Music: Towards Musical Dialogue | |
| Mason Bretan, Sageev Oore, Jesse Engel, Douglas Eck, Larry Heck |
| AniDraw: When Music and Dance Meet Harmoniously | |
| Yaohua Bu, Tang Taoran, Jia Jia, Ma Zhiyuan, Wu Songyao, You Yuming |
| Arnold: An Autonomous Agent to Play FPS Games | |
| Devendra Singh Chaplot, Guillaume Lample |
| A Virtual Personal Fashion Consultant: Learning from the Personal Preference of Fashion | |
| Jingtian Fu, Yejun Liu, Jia Jia, Yihui Ma, Fanhang Meng, Huan Huang |
| Efficient Clinical Concept Extraction in Electronic Medical Records | |
| Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer Syeda-Mahmood |
| Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System | |
| Ting-Yao Hu, Chirag Raman, Salvador Medina Maza, Liangke Gui, Tadas Baltrusaitis, Robert Frederking, Louis-Philippe Morency, Alan W. Black, Maxine Eskenazi |
| Visual Memory QA: Your Personal Photo and Video Search Agent | |
| Lu Jiang, LiangLiang Cao, Yannis Kalantidis, Sachin Farfade, Alex Hauptmann |
| Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation | |
| Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark Carman |
| An Event Reconstruction Tool for Conflict Monitoring Using Social Media | |
| Junwei Liang, Desai Fan, Han Lu, Poyao Huang, Jia Chen, Lu Jiang, Alexander Hauptmann |
| Webly-Supervised Learning of Multimodal Video Detectors | |
| Junwei Liang, Lu Jiang, Alexander Hauptmann |
| SenseRun: Real-Time Running Routes Recommendation towards Providing Pleasant Running Experiences | |
| Jiayu Long, Jia Jia, Han Xu |
| Natural Language Dialogue for Building and Learning Models and Structures | |
| Ian Perera, James F. Allen, Lucian Galescu, Choh Man Teng, Mark Burstein, Scott Friedman, David McDonald, Jeffrey Rye |
| From Semantic Models to Cognitive Buildings | |
| Joern Ploennigs, Anika Schumann |
Copyright © 2016 Association for the Advancement of Artificial Intelligence. All Rights Reserved.