AAAI 2017 785 papers
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor A Framework for Minimal Clustering Modification via Constraint Programming
Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio A Multi-Task Deep Network for Person Re-Identification
Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang 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 Study of Compact Reserve Pricing Languages
MohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni, Saeed Seddighin A Summer Research Experience in Robotics
Cindy M. Grimm, Alicia Lyman-Holt, William D. Smart Abstraction in Situation Calculus Action Theories
Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance 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 An Analysis of Monte Carlo Tree Search
Steven James, George Dimitri Konidaris, Benjamin Rosman An Artificial Agent for Robust Image Registration
Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu An Event Reconstruction Tool for Conflict Monitoring Using Social Media
Junwei Liang, Desai Fan, Han Lu, Poyao Huang, Jia Chen, Lu Jiang, Alexander G. Hauptmann AniDraw: When Music and Dance Meet Harmoniously
Yaohua Bu, Taoran Tang, Jia Jia, Zhiyuan Ma, Songyao Wu, Yuming You Anytime Best+Depth-First Search for Bounding Marginal MAP
Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter Asymmetric Discrete Graph Hashing
Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang Attention Correctness in Neural Image Captioning
Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille Authorship Attribution with Topic Drift Model
Min Yang, Dingju Zhu, Yong Tang, Jingxuan Wang Automated Data Cleansing Through Meta-Learning
Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh Automated Design of Robust Mechanisms
Michael Albert, Vincent Conitzer, Peter Stone Automated Negotiating Agents Competition (ANAC)
Catholijn M. Jonker, Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Takayuki Ito, Koen V. Hindriks Automatic Curriculum Graph Generation for Reinforcement Learning Agents
Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone Balanced Clustering with Least Square Regression
Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs
Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan Building Task-Oriented Dialogue Systems for Online Shopping
Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li Cascade Subspace Clustering
Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi CLARE: A Joint Approach to Label Classification and Tag Recommendation
Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li Cleaning the Null Space: A Privacy Mechanism for Predictors
Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer Collaborative User Clustering for Short Text Streams
Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas Column Networks for Collective Classification
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh Community Preserving Network Embedding
Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang Compiling Graph Substructures into Sentential Decision Diagrams
Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata Complexity of Manipulating Sequential Allocation
Haris Aziz, Sylvain Bouveret, Jérôme Lang, Simon Mackenzie Compressed K-Means for Large-Scale Clustering
Xiao-Bo Shen, Weiwei Liu, Ivor W. Tsang, Fumin Shen, Quan-Sen Sun Computational Issues in Time-Inconsistent Planning
Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu Condensed Memory Networks for Clinical Diagnostic Inferencing
Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan, Vivek V. Datla, Kathy Lee, Ashequl Qadir, Joey Liu, Oladimeji Farri Contextual RNN-GANs for Abstract Reasoning Diagram Generation
Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal Coordinating Human and Agent Behavior in Collective-Risk Scenarios
Elias Fernández Domingos, Juan-Carlos Burguillo, Ann Nowé, Tom Lenaerts Correlated Cascades: Compete or Cooperate
Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha Counting-Based Reliability Estimation for Power-Transmission Grids
Leonardo Dueñas-Osorio, Kuldeep S. Meel, Roger Paredes, Moshe Y. Vardi Cracks Under Pressure? Burst Prediction in Water Networks Using Dynamic Metrics
Gollakota Kaushik, Abinaya Manimaran, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam Cross-Domain Kernel Induction for Transfer Learning
Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost
Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang Cycle-Based Singleton Local Consistencies
Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere Dancing with Decision Diagrams: A Combined Approach to Exact Cover
Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata Data-Driven Approximations to NP-Hard Problems
Anton Milan, Seyed Hamid Rezatofighi, Ravi Garg, Anthony R. Dick, Ian D. Reid Deep Collective Inference
John Moore, Jennifer Neville Deep Learning for Fixed Model Reuse
Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou Deep MIML Network
Ji Feng, Zhi-Hua Zhou Deep Music: Towards Musical Dialogue
Mason Bretan, Sageev Oore, Jesse H. Engel, Douglas Eck, Larry P. Heck DeepFix: Fixing Common C Language Errors by Deep Learning
Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade Denoising Criterion for Variational Auto-Encoding Framework
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio Designing Better Playlists with Monte Carlo Tree Search
Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, Peter Stone Detecting Review Spammer Groups
Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu Determining Relative Airport Threats from News and Social Media
Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan Deterministic Attention for Sequence-to-Sequence Constituent Parsing
Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita Diagnosability Planning for Controllable Discrete Event Systems
Hassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon Disarmament Games
Yuan Deng, Vincent Conitzer Distant Domain Transfer Learning
Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang Distinguish Polarity in Bag-of-Words Visualization
Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary Distributed Negative Sampling for Word Embeddings
Stergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis Dynamic Action Repetition for Deep Reinforcement Learning
Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran 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 Efficient Clinical Concept Extraction in Electronic Medical Records
Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer F. Syeda-Mahmood Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation
Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang Efficient Parameter Importance Analysis via Ablation with Surrogates
Andre Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos Enabling Dark Energy Science with Deep Generative Models of Galaxy Images
Siamak Ravanbakhsh, François Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos Enhancing the Privacy of Predictors
Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer Entropic Causal Inference
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi Envy-Free Mechanisms with Minimum Number of Cuts
Reza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton
Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen Explainable Agency for Intelligent Autonomous Systems
Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi Exploring Artificial Intelligence Through Image Recognition
Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada Extending Compact-Table to Negative and Short Tables
Hélène Verhaeghe, Christophe Lecoutre, Pierre Schaus Fast Online Incremental Learning on Mixture Streaming Data
Yi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo Fast SSP Solvers Using Short-Sighted Labeling
Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein Fast-Tracking Stationary MOMDPs for Adaptive Management Problems
Martin Péron, Kai Helge Becker, Peter L. Bartlett, Iadine Chades Faster and Simpler Algorithm for Optimal Strategies of Blotto Game
Soheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin Feature Selection Guided Auto-Encoder
Shuyang Wang, Zhengming Ding, Yun Fu Fine-Grained Car Detection for Visual Census Estimation
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei Frame-Based Ontology Alignment
Luigi Asprino, Valentina Presutti, Aldo Gangemi, Paolo Ciancarini 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 Generalization Analysis for Ranking Using Integral Operator
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang Geometry of Compositionality
Hongyu Gong, Suma Bhat, Pramod Viswanath Goal Operations for Cognitive Systems
Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta Going Beyond Primal Treewidth for (M)ILP
Robert Ganian, Sebastian Ordyniak, M. S. Ramanujan Grid Pathfinding on the 2k Neighborhoods
Nicolas Rivera, Carlos Hernández, Jorge A. Baier Group Activity Selection on Social Networks
Ayumi Igarashi, Dominik Peters, Edith Elkind Handwriting Profiling Using Generative Adversarial Networks
Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury Heavy-Tailed Analogues of the Covariance Matrix for ICA
Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher Hindsight Optimization for Hybrid State and Action MDPs
Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern Image Caption with Global-Local Attention
Linghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian Improving Efficiency of SVM K-Fold Cross-Validation by Alpha Seeding
Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang Incentivising Monitoring in Open Normative Systems
Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan Incorporating Knowledge Graph Embeddings into Topic Modeling
Liang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen Infinite Kernel Learning: Generalization Bounds and Algorithms
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang 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 E. Frederking, Louis-Philippe Morency, Alan W. Black, Maxine Eskénazi Landmark-Based Heuristics for Goal Recognition
Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi Latent Dependency Forest Models
Shanbo Chu, Yong Jiang, Kewei Tu Latent Tree Analysis
Nevin L. Zhang, Leonard K. M. Poon Learning Context-Specific Word/Character Embeddings
Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang Learning Deep Latent Space for Multi-Label Classification
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU
Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka Learning Options in Multiobjective Reinforcement Learning
Rodrigo Cesar Bonini, Felipe Leno da Silva, Anna Helena Reali Costa Learning Residual Alternating Automata
Sebastian Berndt, Maciej Liskiewicz, Matthias Lutter, Rüdiger Reischuk 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 Lifted Inference for Convex Quadratic Programs
Martin Mladenov, Leonard Kleinhans, Kristian Kersting Low-Rank Linear Cold-Start Recommendation from Social Data
Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas Market Pricing for Data Streams
Melika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami Marrying Uncertainty and Time in Knowledge Graphs
Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt Matching Node Embeddings for Graph Similarity
Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis Matrix Factorisation for Scalable Energy Breakdown
Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method
Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath Maximum Model Counting
Daniel J. Fremont, Markus N. Rabe, Sanjit A. Seshia Mechanism Design in Social Networks
Bin Li, Dong Hao, Dengji Zhao, Tao Zhou Minimal Undefinedness for Fuzzy Answer Sets
Mario Alviano, Giovanni Amendola, Rafael Peñaloza Misspecified Linear Bandits
Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan Mixed Discrete-Continuous Planning with Convex Optimization
Enrique Fernández-González, Erez Karpas, Brian Charles Williams Model AI Assignments 2017
Todd W. Neller, Joshua Eckroth, Sravana Reddy, Joshua Ziegler, Jason M. Bindewald, Gilbert L. Peterson, Thomas P. Way, Paula Matuszek, Lillian N. Cassel, Mary-Angela Papalaskari, Carol Weiss, Ariel Anders, Sertac Karaman Moral Decision Making Frameworks for Artificial Intelligence
Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer MPGL: An Efficient Matching Pursuit Method for Generalized LASSO
Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi Multi-Path Feedback Recurrent Neural Networks for Scene Parsing
Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan 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 M. Meng Multi-View Correlated Feature Learning by Uncovering Shared Component
Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao Multiple Kernel K-Means with Incomplete Kernels
Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville Multiwinner Approval Rules as Apportionment Methods
Markus Brill, Jean-François Laslier, Piotr Skowron Nash Stability in Social Distance Games
Alkida Balliu, Michele Flammini, Giovanna Melideo, Dennis Olivetti Natural Language Dialogue for Building and Learning Models and Structures
Ian Perera, James F. Allen, Lucian Galescu, Choh Man Teng, Mark H. Burstein, Scott E. Friedman, David D. McDonald, Jeffrey M. Rye Neural Bag-of-Ngrams
Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du Neural Machine Translation Advised by Statistical Machine Translation
Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang Neural Machine Translation with Reconstruction
Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li Neural Models for Sequence Chunking
Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou Non-Additive Security Games
Sinong Wang, Fang Liu, Ness B. Shroff Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces
Alberto Camacho, Eleni Triantafillou, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith Nonnegative Orthogonal Graph Matching
Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo Number Restrictions on Transitive Roles in Description Logics with Nominals
Víctor Gutiérrez-Basulto, Yazmín Angélica Ibáñez-García, Jean Christoph Jung On Designing a Social Coach to Promote Regular Aerobic Exercise
Shiwali Mohan, Anusha Venkatakrishnan, Michael Silva, Peter Pirolli Cite
On Learning High Dimensional Structured Single Index Models
Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak On Pareto Optimality in Social Distance Games
Alkida Balliu, Michele Flammini, Dennis Olivetti On Predictive Patent Valuation: Forecasting Patent Citations and Their Types
Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu On the Computation of Paracoherent Answer Sets
Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca 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 Online Multi-Target Tracking Using Recurrent Neural Networks
Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid, Konrad Schindler Online SPARC for Drawing and Animation
Elias Marcopoulos, Maede Rayatidamavandi, Crisel Suárez, Yuanlin Zhang Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic
Sebastian Brandt, Elem Güzel Kalayci, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev Ontology-Mediated Queries for Probabilistic Databases
Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz Optimal Neighborhood Kernel Clustering with Multiple Kernels
Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin Optimal Pricing for Submodular Valuations with Bounded Curvature
Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi Optimizing Expectation with Guarantees in POMDPs
Krishnendu Chatterjee, Petr Novotný, Guillermo A. Pérez, Jean-François Raskin, Dorde Zikelic Optimizing Positional Scoring Rules for Rank Aggregation
Ioannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval
Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao ParkUs: A Novel Vehicle Parking Detection System
Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan Personalized Donor-Recipient Matching for Organ Transplantation
Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar Phase Transitions for Scale-Free SAT Formulas
Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery
Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes Phragmén's Voting Methods and Justified Representation
Markus Brill, Rupert Freeman, Svante Janson, Martin Lackner Plan Recognition Design
Reuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech Policy Search with High-Dimensional Context Variables
Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines
Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno Cite
Predicting User Roles from Computer Logs Using Recurrent Neural Networks
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson Preference Elicitation for Participatory Budgeting
Gerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah Preferential Structures for Comparative Probabilistic Reasoning
Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard Iii Proper Proxy Scoring Rules
Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause Proportional Justified Representation
Luis Sánchez Fernández, Edith Elkind, Martin Lackner, Norberto Fernández García, Jesús Arias-Fisteus, Pablo Basanta-Val, Piotr Skowron Psychological Forest: Predicting Human Behavior
Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz 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 Radon - Rapid Discovery of Topological Relations
Mohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros, Axel-Cyrille Ngonga Ngomo Reactive Dialectic Search Portfolios for MaxSAT
Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney Recurrent Attentional Topic Model
Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang Redesigning Stochastic Environments for Maximized Utility
Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein Reference Based LSTM for Image Captioning
Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han Resource Constrained Structured Prediction
Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama Robust Execution of Probabilistic Temporal Plans
Kyle Lund, Sam Dietrich, Scott Chow, James C. Boerkoel Robust Stable Marriage
Begum Genc, Mohamed Siala, Barry O'Sullivan, Gilles Simonin S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions
Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen SAT Competition 2016: Recent Developments
Tomás Balyo, Marijn J. H. Heule, Matti Järvisalo Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi Scalable Feature Selection via Distributed Diversity Maximization
Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam Scalable Graph Embedding for Asymmetric Proximity
Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao 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 Scanpath Complexity: Modeling Reading Effort Using Gaze Information
Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya Security Games on a Plane
Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch Self-Paced Multi-Task Learning
Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha Selfish Knapsack
Itai Feigenbaum, Matthew P. Johnson Semantic Interpretation of Social Network Communities
Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das Semantic Proto-Role Labeling
Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew Gormley 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 Sherlock: Scalable Fact Learning in Images
Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal Small Representations of Big Kidney Exchange Graphs
John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm Soft and Cost MDD Propagators
Guillaume Perez, Jean-Charles Régin Solving Advanced Argumentation Problems with Answer-Set Programming
Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran State Projection via AI Planning
Shirin Sohrabi, Anton V. Riabov, Octavian Udrea Strategic Social Network Analysis
Tomasz P. Michalak, Talal Rahwan, Michael J. Wooldridge StructInf: Mining Structural Influence from Social Streams
Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms
Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti Teams in Online Scheduling Polls: Game-Theoretic Aspects
Robert Bredereck, Jiehua Chen, Rolf Niedermeier, Svetlana Obraztsova, Nimrod Talmon The Complexity of Succinct Elections
Zack Fitzsimmons, Edith Hemaspaandra The Computational Complexity of Weighted Greedy Matching
Argyrios Deligkas, George B. Mertzios, Paul G. Spirakis The Dollar Auction with Spiteful Players
Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings The Opacity of Backbones
Lane A. Hemaspaandra, David E. Narváez The Option-Critic Architecture
Pierre-Luc Bacon, Jean Harb, Doina Precup The Simultaneous Maze Solving Problem
Stefan Funke, André Nusser, Sabine Storandt The Symbolic Interior Point Method
Martin Mladenov, Vaishak Belle, Kristian Kersting Thompson Sampling for Stochastic Bandits with Graph Feedback
Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi Three New Algorithms to Solve N-POMDPs
Yann Dujardin, Tom Dietterich, Iadine Chades Topic Aware Neural Response Generation
Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma Towards Continuous Scientific Data Analysis and Hypothesis Evolution
Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick Towards User Personality Profiling from Multiple Social Networks
Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua Trust-Sensitive Evolution of DL-Lite Knowledge Bases
Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS
Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati Unbiased Multivariate Correlation Analysis
Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia Unimodal Thompson Sampling for Graph-Structured Arms
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