IJCAI 2017
781 papers
A Correlated Topic Model Using Word Embeddings
Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell A General Notion of Equivalence for Abstract Argumentation
Ringo Baumann, Wolfgang Dvorák, Thomas Linsbichler, Stefan Woltran A Model for Accountable Ordinal Sorting
Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane A SAT Approach to Branchwidth
Neha Lodha, Sebastian Ordyniak, Stefan Szeider A Unifying Framework for Probabilistic Belief Revision
Zhiqiang Zhuang, James P. Delgrande, Abhaya C. Nayak, Abdul Sattar Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression
Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng Adaptively Unified Semi-Supervised Learning for Cross-Modal Retrieval
Liang Zhang, Bingpeng Ma, Jianfeng He, Guorong Li, Qingming Huang, Qi Tian Adversarial Generation of Real-Time Feedback with Neural Networks for Simulation-Based Training
Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey Agent Design Consistency Checking via Planning
Nitin Yadav, John Thangarajah, Sebastian Sardiña AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles
Jianbing Zhang, Yixin Sun, Shujian Huang, Cam-Tu Nguyen, Xiaoliang Wang, Xinyu Dai, Jiajun Chen, Yang Yu An Admissible HTN Planning Heuristic
Pascal Bercher, Gregor Behnke, Daniel Höller, Susanne Biundo An Improved Decision-DNNF Compiler
Jean-Marie Lagniez, Pierre Marquis Angle Principal Component Analysis
Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie Answering Conjunctive Regular Path Queries over Guarded Existential Rules
Jean-François Baget, Meghyn Bienvenu, Marie-Laure Mugnier, Michaël Thomazo Automated Planning for Urban Traffic Management
Thomas Leo McCluskey, Mauro Vallati, Santiago Franco Automatic Assessment of Absolute Sentence Complexity
Sanja Stajner, Simone Paolo Ponzetto, Heiner Stuckenschmidt Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)
Raffaella Bernardi, Ruket Çakici, Desmond Elliott, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis, Frank Keller, Adrian Muscat, Barbara Plank Automatic Generation of Grounded Visual Questions
Shijie Zhang, Lizhen Qu, Shaodi You, Zhenglu Yang, Jiawan Zhang Bayesian Dynamic Mode Decomposition
Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi Bernoulli Rank-1 Bandits for Click Feedback
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen Blue Skies: A Methodology for Data-Driven Clear Sky Modelling
Kartik Palani, Ramachandra Kota, Amar Prakash Azad, Vijay Arya Bounding the Inefficiency of Compromise
Ioannis Caragiannis, Panagiotis Kanellopoulos, Alexandros A. Voudouris Cake Cutting: Envy and Truth
Xiaohui Bei, Ning Chen, Guangda Huzhang, Biaoshuai Tao, Jiajun Wu Cardinality Encodings for Graph Optimization Problems
Alexey Ignatiev, António Morgado, João Marques-Silva Characterising the Manipulability of Boolean Games
Paul Harrenstein, Paolo Turrini, Michael J. Wooldridge Collaborative Rating Allocation
Yali Du, Chang Xu, Dacheng Tao Compressed Nonparametric Language Modelling
Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn Compromise-Free Pathfinding on a Navigation Mesh
Michael Cui, Daniel Damir Harabor, Alban Grastien Concerning Referring Expressions in Query Answers
Alexander Borgida, David Toman, Grant E. Weddell Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning
Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, Adrian Weller Constraint Games Revisited
Anthony Palmieri, Arnaud Lallouet Constraint-Based Symmetry Detection in General Game Playing
Frédéric Koriche, Sylvain Lagrue, Éric Piette, Sébastien Tabary Context Attentive Bandits: Contextual Bandit with Restricted Context
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud Contextual Covariance Matrix Adaptation Evolutionary Strategies
Abbas Abdolmaleki, Bob Price, Nuno Lau, Luís Paulo Reis, Gerhard Neumann Convolutional-Match Networks for Question Answering
Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank, Maria Fasli Cost-Effective Active Learning from Diverse Labelers
Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou Count-Based Exploration in Feature Space for Reinforcement Learning
Jarryd Martin, Suraj Narayanan Sasikumar, Tom Everitt, Marcus Hutter Data-Driven Random Fourier Features Using Stein Effect
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos Deceptive Path-Planning
Peta Masters, Sebastian Sardiña Decreasing Uncertainty in Planning with State Prediction
Senka Krivic, Michael Cashmore, Daniele Magazzeni, Bram Ridder, Sándor Szedmák, Justus H. Piater Deep Descriptor Transforming for Image Co-Localization
Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou Deep Matrix Factorization Models for Recommender Systems
Hong-Jian Xue, Xinyu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen Deep Multi-Species Embedding
Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes Deep Multiple Instance Hashing for Object-Based Image Retrieval
Wanqing Zhao, Ziyu Guan, Hangzai Luo, Jinye Peng, Jianping Fan DeepFacade: A Deep Learning Approach to Facade Parsing
Hantang Liu, Jialiang Zhang, Jianke Zhu, Steven C. H. Hoi DeepStory: Video Story QA by Deep Embedded Memory Networks
Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, Byoung-Tak Zhang Defending Against Man-in-the-Middle Attack in Repeated Games
Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang Demystifying Neural Style Transfer
Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition
Xinge Zhu, Liang Li, Weigang Zhang, Tianrong Rao, Min Xu, Qingming Huang, Dong Xu Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution
Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu Diverse Weighted Bipartite B-Matching
Faez Ahmed, John P. Dickerson, Mark D. Fuge Diversifying Personalized Recommendation with User-Session Context
Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu Don't Bury Your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-Security Alerts
Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter Doubly Sparsifying Network
Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang Dual Inference for Machine Learning
Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu Dual Track Multimodal Automatic Learning Through Human-Robot Interaction
Shuqiang Jiang, Weiqing Min, Xue Li, Huayang Wang, Jian Sun, Jiaqi Zhou Dynamic Multi-Task Learning with Convolutional Neural Network
Yuchun Fang, Zhengyan Ma, Zhaoxiang Zhang, Xu-Yao Zhang, Xiang Bai Dynamic Multi-View Hashing for Online Image Retrieval
Liang Xie, Jialie Shen, Jungong Han, Lei Zhu, Ling Shao Dynamic Programming Bipartite Belief Propagation for Hyper Graph Matching
Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi Efficient and Complete FD-Solving for Extended Array Constraints
Quentin Plazar, Mathieu Acher, Sébastien Bardin, Arnaud Gotlieb Efficient Inference for Untied MLNs
Somdeb Sarkhel, Deepak Venugopal, Nicholas Ruozzi, Vibhav Gogate Efficient Kernel Selection via Spectral Analysis
Jian Li, Yong Liu, Hailun Lin, Yinliang Yue, Weiping Wang Efficient Mechanism Design for Online Scheduling (Extended Abstract)
Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng Efficient Optimal Search Under Expensive Edge Cost Computation
Masataro Asai, Akihiro Kishimoto, Adi Botea, Radu Marinescu, Elizabeth M. Daly, Spyros Kotoulas Efficient Private ERM for Smooth Objectives
Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang Efficient Techniques for Crowdsourced Top-K Lists
Luca de Alfaro, Vassilis Polychronopoulos, Neoklis Polyzotis End-to-End Optimization of Goal-Driven and Visually Grounded Dialogue Systems
Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin Enhancing Crowdworkers' Vigilance
Avshalom Elmalech, David Sarne, Esther David, Chen Hajaj Entity Suggestion with Conceptual Expanation
Yi Zhang, Yanghua Xiao, Seung-won Hwang, Haixun Wang, X. Sean Wang, Wei Wang Epistemic-Entrenchment Characterization of Parikh's Axiom
Theofanis I. Aravanis, Pavlos Peppas, Mary-Anne Williams Equi-Reward Utility Maximizing Design in Stochastic Environments
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein Estimating the Size of Search Trees by Sampling with Domain Knowledge
Gleb Belov, Samuel Esler, Dylan Fernando, Pierre Le Bodic, George L. Nemhauser Evaluating Market User Interfaces for Electric Vehicle Charging Using Bid2Charge
Sebastian Stein, Enrico H. Gerding, Adrian Nedea, Avi Rosenfeld, Nicholas R. Jennings Explicit Knowledge-Based Reasoning for Visual Question Answering
Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel Exploiting Music Play Sequence for Music Recommendation
Zhiyong Cheng, Jialie Shen, Lei Zhu, Mohan S. Kankanhalli, Liqiang Nie Fair Allocation Based on Diminishing Differences
Erel Segal-Halevi, Haris Aziz, Avinatan Hassidim Fair and Efficient Social Choice in Dynamic Settings
Rupert Freeman, Seyed Majid Zahedi, Vincent Conitzer Fair Division of a Graph
Sylvain Bouveret, Katarína Cechlárová, Edith Elkind, Ayumi Igarashi, Dominik Peters Fast Change Point Detection on Dynamic Social Networks
Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy Fast Parallel Training of Neural Language Models
Tong Xiao, Jingbo Zhu, Tongran Liu, Chunliang Zhang Fast Preprocessing for Robust Face Sketch Synthesis
Yibing Song, Jiawei Zhang, Linchao Bao, Qingxiong Yang Faster Conflict Generation for Dynamic Controllability
Nikhil Bhargava, Tiago Stegun Vaquero, Brian C. Williams Finding Prototypes of Answers for Improving Answer Sentence Selection
Wai Lok Tam, Namgi Han, Juan Ignacio Navarro-Horñiacek, Yusuke Miyao Finding Robust Solutions to Stable Marriage
Begum Genc, Mohamed Siala, Barry O'Sullivan, Gilles Simonin Foundations of Declarative Data Analysis Using Limit Datalog Programs
Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Boris Motik, Ian Horrocks From Ensemble Clustering to Multi-View Clustering
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu Game Engine Learning from Video
Matthew Guzdial, Boyang Li, Mark O. Riedl Generating Context-Free Grammars Using Classical Planning
Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson Grounding of Human Environments and Activities for Autonomous Robots
Muhannad Al-Omari, Paul Duckworth, Nils Bore, Majd Hawasly, David C. Hogg, Anthony G. Cohn Group-Wise Deep Co-Saliency Detection
Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Jingkuan Song, Lianli Gao, Zhao Guo, Wu Liu, Dongxiang Zhang, Heng Tao Shen High Dimensional Bayesian Optimization Using Dropout
Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton How Unlabeled Web Videos Help Complex Event Detection?
Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng I-Dual: Solving Constrained SSPs via Heuristic Search in the Dual Space
Felipe W. Trevizan, Sylvie Thiébaux, Pedro Henrique Santana, Brian C. Williams Identifying Human Mobility via Trajectory Embeddings
Qiang Gao, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Xucheng Luo, Fengli Zhang Image Matching via Loopy RNN
Donghao Luo, Bingbing Ni, Yichao Yan, Xiaokang Yang Image-Embodied Knowledge Representation Learning
Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun Improving Learning-from-Crowds Through Expert Validation
Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu Incomplete Attribute Learning with Auxiliary Labels
Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen Incremental Decision Making Under Risk with the Weighted Expected Utility Model
Hugo Gilbert, Nawal Benabbou, Patrice Perny, Olivier Spanjaard, Paolo Viappiani Interactive Image Segmentation via Pairwise Likelihood Learning
Tao Wang, Quan-Sen Sun, Qi Ge, Zexuan Ji, Qiang Chen, Guiyu Xia Interactive Narrative Personalization with Deep Reinforcement Learning
Pengcheng Wang, Jonathan P. Rowe, Wookhee Min, Bradford W. Mott, James C. Lester Landmarks for Numeric Planning Problems
Enrico Scala, Patrik Haslum, Daniele Magazzeni, Sylvie Thiébaux Learning Co-Substructures by Kernel Dependence Maximization
Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui Learning Deep Structured Network for Weakly Supervised Change Detection
Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation
Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu Learning Feature Engineering for Classification
Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga Learning Hedonic Games
Jakub Sliwinski, Yair Zick Learning to Read Irregular Text with Attention Mechanisms
Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles Learning to Run Heuristics in Tree Search
Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao Learning User Dependencies for Recommendation
Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li Learning-Based Abstractions for Nonlinear Constraint Solving
Sumanth Dathathri, Nikos Aréchiga, Sicun Gao, Richard M. Murray Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems
Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock Link Prediction via Ranking Metric Dual-Level Attention Network Learning
Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang Locality Adaptive Discriminant Analysis
Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang Locality Preserving Matching
Jiayi Ma, Ji Zhao, Hanqi Guo, Junjun Jiang, Huabing Zhou, Yuan Gao Locality Preserving Projections for Grassmann Manifold
Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali, Baocai Yin Locally Linear Factorization Machines
Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello, Luciano Serafini, Artur S. d'Avila Garcez Logistic Markov Decision Processes
Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu Maintaining Communication in Multi-Robot Tree Coverage
Mor Sinay, Noa Agmon, Oleg Maksimov, Sarit Kraus, David Peleg Mapping Repair in Ontology-Based Data Access Evolving Systems
Domenico Lembo, Riccardo Rosati, Valerio Santarelli, Domenico Fabio Savo, Evgenij Thorstensen MAT: A Multimodal Attentive Translator for Image Captioning
Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille Mechanisms for Online Organ Matching
Nicholas Mattei, Abdallah Saffidine, Toby Walsh Mining Convex Polygon Patterns with Formal Concept Analysis
Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet, Mehdi Kaytoue Modeling Trajectories with Recurrent Neural Networks
Hao Wu, Ziyang Chen, Weiwei Sun, Baihua Zheng, Wei Wang Multi-Class Support Vector Machine via Maximizing Multi-Class Margins
Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang Multi-Component Nonnegative Matrix Factorization
Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang Multi-Instance Multi-Label Active Learning
Sheng-Jun Huang, Nengneng Gao, Songcan Chen Multi-Modal Word Synset Induction
Jesse Thomason, Raymond J. Mooney Multi-Positive and Unlabeled Learning
Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao Multi-Type Activity Recognition from a Robot's Viewpoint
Ilaria Gori, J. K. Aggarwal, Larry H. Matthies, Michael S. Ryoo Multimodal Storytelling via Generative Adversarial Imitation Learning
Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu Multiwinner Rules on Paths from K-Borda to Chamberlin-Courant
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Nimrod Talmon Name Nationality Classification with Recurrent Neural Networks
Jinhyuk Lee, Hyunjae Kim, Miyoung Ko, Donghee Choi, Jaehoon Choi, Jaewoo Kang Nash Equilibria in Concurrent Games with Lexicographic Preferences
Julian Gutierrez, Aniello Murano, Giuseppe Perelli, Sasha Rubin, Michael J. Wooldridge Networked Fairness in Cake Cutting
Xiaohui Bei, Youming Qiao, Shengyu Zhang No Pizza for You: Value-Based Plan Selection in BDI Agents
Stephen Cranefield, Michael Winikoff, Virginia Dignum, Frank Dignum Non-Determinism and the Dynamics of Knowledge
Davide Grossi, Andreas Herzig, Wiebe van der Hoek, Christos Moyzes Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel
Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long Object Allocation via Swaps Along a Social Network
Laurent Gourvès, Julien Lesca, Anaëlle Wilczynski Object Detection Meets Knowledge Graphs
Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar Omniscient Debugging for Cognitive Agent Programs
Vincent J. Koeman, Koen V. Hindriks, Catholijn M. Jonker On Automating the Doctrine of Double Effect
Naveen Sundar Govindarajulu, Selmer Bringsjord On Computing World Views of Epistemic Logic Programs
Tran Cao Son, Tiep Le, Patrick Thor Kahl, Anthony P. Leclerc On Creating Complementary Pattern Databases
Santiago Franco, Álvaro Torralba, Levi H. S. Lelis, Mike Barley On Gleaning Knowledge from Multiple Domains for Active Learning
Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Ruimin Hu, Dacheng Tao On Redundant Topological Constraints (Extended Abstract)
Sanjiang Li, Zhiguo Long, Weiming Liu, Matt Duckham, Alan Both On the Computational Complexity of Gossip Protocols
Krzysztof R. Apt, Eryk Kopczynski, Dominik Wojtczak On Thompson Sampling and Asymptotic Optimality
Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter Online Decision-Making for Scalable Autonomous Systems
Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein Online Multitask Relative Similarity Learning
Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao Online Optimization of Video-Ad Allocation
Hanna Sumita, Yasushi Kawase, Sumio Fujita, Takuro Fukunaga Online Robust Low-Rank Tensor Learning
Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan Online Roommate Allocation Problem
Guangda Huzhang, Xin Huang, Shengyu Zhang, Xiaohui Bei Ontology-Mediated Query Answering for Key-Value Stores
Meghyn Bienvenu, Pierre Bourhis, Marie-Laure Mugnier, Sophie Tison, Federico Ulliana Open-World Probabilistic Databases: An Abridged Report
Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck Operation Frames and Clubs in Kidney Exchange
Gabriele Farina, John P. Dickerson, Tuomas Sandholm Optimal Escape Interdiction on Transportation Networks
Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings Optimizing Ratio of Monotone Set Functions
Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou Parameterised Verification of Data-Aware Multi-Agent Systems
Francesco Belardinelli, Panagiotis Kouvaros, Alessio Lomuscio Privileged Multi-Label Learning
Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao Proportional Rankings
Piotr Skowron, Martin Lackner, Markus Brill, Dominik Peters, Edith Elkind Query Answering in Ontologies Under Preference Rankings
Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza, Oana Tifrea-Marciuska Real-Time UAV Maneuvering via Automated Planning in Simulations
Miquel Ramírez, Michael Papasimeon, Lyndon Benke, Nir Lipovetzky, Tim Miller, Adrian R. Pearce Reduction Techniques for Model Checking and Learning in MDPs
Suda Bharadwaj, Stéphane Le Roux, Guillermo A. Pérez, Ufuk Topcu Reformulating Queries: Theory and Practice
Michael Benedikt, Egor V. Kostylev, Fabio Mogavero, Efthymia Tsamoura Reinforcement Learning with a Corrupted Reward Channel
Tom Everitt, Victoria Krakovna, Laurent Orseau, Shane Legg Relatedness-Based Multi-Entity Summarization
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit P. Sheth, Gong Cheng Retaining Data from Streams of Social Platforms with Minimal Regret
Thanh Tam Nguyen, Matthias Weidlich, Duong Chi Thang, Hongzhi Yin, Nguyen Quoc Viet Hung RHash: Robust Hashing via L_infinity-Norm Distortion
Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk Robust Regression via Heuristic Hard Thresholding
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu Safe Inductions: An Algebraic Study
Bart Bogaerts, Joost Vennekens, Marc Denecker Scalable Constraint-Based Virtual Data Center Allocation
Sam Bayless, Nodir Kodirov, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu Scalable Normalized Cut with Improved Spectral Rotation
Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang Scaling Active Search Using Linear Similarity Functions
Sibi Venkatesan, James Kyle Miller, Jeff Schneider, Artur Dubrawski Self-Paced Mixture of Regressions
Longfei Han, Dingwen Zhang, Dong Huang, Xiaojun Chang, Jun Ren, Senlin Luo, Junwei Han Semi-Supervised Learning for Surface EMG-Based Gesture Recognition
Yu Du, Yongkang Wong, Wenguang Jin, Wentao Wei, Yu Hu, Mohan S. Kankanhalli, Weidong Geng SEVEN: Deep Semi-Supervised Verification Networks
Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu Should Robots Be Obedient?
Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell Sifting Common Information from Many Variables
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan Single-Pass PCA of Large High-Dimensional Data
Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li Social Pressure in Opinion Games
Diodato Ferraioli, Carmine Ventre Socialized Word Embeddings
Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang Solving Probability Problems in Natural Language
Anton Dries, Angelika Kimmig, Jesse Davis, Vaishak Belle, Luc De Raedt Stacking with Auxiliary Features
Nazneen Fatema Rajani, Raymond J. Mooney Strategically Knowing How
Raul Fervari, Andreas Herzig, Yanjun Li, Yanjing Wang Strong Inconsistency in Nonmonotonic Reasoning
Gerhard Brewka, Matthias Thimm, Markus Ulbricht Student-T Process Regression with Student-T Likelihood
Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia Summary: Multi-Agent Path Finding with Kinematic Constraints
Wolfgang Hönig, T. K. Satish Kumar, Liron Cohen, Hang Ma, Hong Xu, Nora Ayanian, Sven Koenig SVD-Based Screening for the Graphical Lasso
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda Swift Logic for Big Data and Knowledge Graphs
Luigi Bellomarini, Georg Gottlob, Andreas Pieris, Emanuel Sallinger SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition
Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He, Min-Yen Kan Symbolic LTLf Synthesis
Shufang Zhu, Lucas M. Tabajara, Jianwen Li, Geguang Pu, Moshe Y. Vardi Synthesizing Samples for Zero-Shot Learning
Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun Tag-Aware Personalized Recommendation Using a Hybrid Deep Model
Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng The Bag Semantics of Ontology-Based Data Access
Charalampos Nikolaou, Egor V. Kostylev, George Konstantinidis, Mark Kaminski, Bernardo Cuenca Grau, Ian Horrocks The Impact of Treewidth on ASP Grounding and Solving
Bernhard Bliem, Marius Moldovan, Michael Morak, Stefan Woltran The Minds of Many: Opponent Modeling in a Stochastic Game
Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller The Off-Switch Game
Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell Thresholding Bandits with Augmented UCB
Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran Tosca: Operationalizing Commitments over Information Protocols
Thomas C. King, Akin Günay, Amit K. Chopra, Munindar P. Singh Understanding and Exploiting Language Diversity
Fausto Giunchiglia, Khuyagbaatar Batsuren, Gábor Bella Unsupervised Deep Video Hashing with Balanced Rotation
Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao User Profile Preserving Social Network Embedding
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang Value Iteration Networks
Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel Voting by Sequential Elimination with Few Voters
Sylvain Bouveret, Yann Chevaleyre, François Durand, Jérôme Lang WALKING WALKing Walking: Action Recognition from Action Echoes
Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell Weighted Double Q-Learning
Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer What to Do Next: Modeling User Behaviors by Time-LSTM
Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai Why You Should Charge Your Friends for Borrowing Your Stuff
Kijung Shin, Euiwoong Lee, Dhivya Eswaran, Ariel D. Procaccia