| 2017 | A BTP-Based Family of Variable Elimination Rules for Binary CSPs. Achref El Mouelhi |
| 2017 | A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly. Hao Zhang, Chunyan Miao, Han Yu, Cyril Leung |
| 2017 | A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv |
| 2017 | A Declarative Approach to Data-Driven Fact Checking. Julien Leblay |
| 2017 | A Deep Hierarchical Approach to Lifelong Learning in Minecraft. Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor |
| 2017 | A Deep Learning Approach for Arabic Caption Generation Using Roots-Words. Vasu Jindal |
| 2017 | A Dependency-Based Neural Reordering Model for Statistical Machine Translation. Christian Hadiwinoto, Hwee Tou Ng |
| 2017 | A Diversified Generative Latent Variable Model for WiFi-SLAM. Hao Xiong, Dacheng Tao |
| 2017 | A Dynamic Window Neural Network for CCG Supertagging. Huijia Wu, Jiajun Zhang, Chengqing Zong |
| 2017 | A Fast Algorithm to Compute Maximum Mingyu Xiao, Weibo Lin, Yuanshun Dai, Yifeng Zeng |
| 2017 | A Finite Memory Automaton for Two-Armed Bernoulli Bandit Problems. Ariel Rao |
| 2017 | A Framework for Minimal Clustering Modification via Constraint Programming. Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson |
| 2017 | A Framework of Online Learning with Imbalanced Streaming Data. Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen |
| 2017 | A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters. Reihaneh Rabbany, Osmar R. Zaïane |
| 2017 | A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning. Zheng Xu, Junzhou Huang |
| 2017 | A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization. Hanyang Peng, Yong Fan |
| 2017 | A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low |
| 2017 | A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. Tobias Friedrich, Timo Kötzing, Markus Wagner |
| 2017 | 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 |
| 2017 | A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems. Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang |
| 2017 | A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation Algorithm. Deblina Bhattacharjee, Anand Paul |
| 2017 | A Logic Based Approach to Answering Questions about Alternatives in DIY Domains. Yi Wang, Joohyung Lee, Doo Soon Kim |
| 2017 | A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly Documents. Rabah A. Al-Zaidy, C. Lee Giles |
| 2017 | A Monte Carlo Localization Assignment Using a Neato Vacuum with ROS. Zuozhi Yang, Todd W. Neller |
| 2017 | A Multi-Task Deep Network for Person Re-Identification. Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang |
| 2017 | A Multiview-Based Parameter Free Framework for Group Detection. Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang |
| 2017 | A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models. Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell |
| 2017 | A Position-Biased PageRank Algorithm for Keyphrase Extraction. Corina Florescu, Cornelia Caragea |
| 2017 | A Riemannian Network for SPD Matrix Learning. Zhiwu Huang, Luc Van Gool |
| 2017 | 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 |
| 2017 | A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty. Wen Song, Donghun Kang, Jie Zhang, Hui Xi |
| 2017 | A Selected Summary of AI for Computational Sustainability. Douglas H. Fisher |
| 2017 | A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping. Feng Liu, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su, Hanli Liu |
| 2017 | A Study of Compact Reserve Pricing Languages. MohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni, Saeed Seddighin |
| 2017 | A Summer Research Experience in Robotics. Cindy M. Grimm, Alicia Lyman-Holt, William D. Smart |
| 2017 | A Supervised Sparse Learning Framework to Solve EEG Inverse Problem for Discriminative Activations Pattern. Feng Liu |
| 2017 | A Systematic Practice of Judging the Success of a Robotic Grasp Using Convolutional Neural Network. Hengshuang Liu, Pengcheng Ai, Junling Chen |
| 2017 | A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution. Arya Mazumdar, Barna Saha |
| 2017 | A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis. Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin |
| 2017 | A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin |
| 2017 | A Unified Convex Surrogate for the Schatten- Chen Xu, Zhouchen Lin, Hongbin Zha |
| 2017 | A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. Hangfeng He, Xu Sun |
| 2017 | A Virtual Personal Fashion Consultant: Learning from the Personal Preference of Fashion. Jingtian Fu, Yejun Liu, Jia Jia, Yihui Ma, Fanhang Meng, Huan Huang |
| 2017 | AI Projects for Computer Science Capstone Classes (Extended Abstract). Matthew E. Taylor, Sakire Arslan Ay |
| 2017 | ARTY: Fueling Creativity through Art, Robotics and Technology for Youth. Debra T. Burhans, Karthik Dantu |
| 2017 | ATSUM: Extracting Attractive Summaries for News Propagation on Microblogs. Fang Liu, Xiaojun Wan |
| 2017 | Abstraction in Situation Calculus Action Theories. Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance |
| 2017 | Accelerated Gradient Temporal Difference Learning. Yangchen Pan, Adam White, Martha White |
| 2017 | Accelerated Variance Reduced Stochastic ADMM. Yuanyuan Liu, Fanhua Shang, James Cheng |
| 2017 | Accelerated Vector Pruning for Optimal POMDP Solvers. Erwin Walraven, Matthijs T. J. Spaan |
| 2017 | Accelerating Multiagent Reinforcement Learning through Transfer Learning. Felipe Leno da Silva, Anna Helena Reali Costa |
| 2017 | Achieving Privacy in the Adversarial Multi-Armed Bandit. Aristide Charles Yedia Tossou, Christos Dimitrakakis |
| 2017 | Achieving Sustainable Cooperation in Generalized Prisoner's Dilemma with Observation Errors. Fuuki Shigenaka, Tadashi Sekiguchi, Atsushi Iwasaki, Makoto Yokoo |
| 2017 | Active Discriminative Text Representation Learning. Ye Zhang, Matthew Lease, Byron C. Wallace |
| 2017 | Active Learning with Cross-Class Similarity Transfer. Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han |
| 2017 | Active Search for Sparse Signals with Region Sensing. Yifei Ma, Roman Garnett, Jeff G. Schneider |
| 2017 | Active Search in Intensionally Specified Structured Spaces. Dino Oglic, Roman Garnett, Thomas Gärtner |
| 2017 | Active Video Summarization: Customized Summaries via On-line Interaction with the User. Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan |
| 2017 | Adaptive Proximal Average Approximation for Composite Convex Minimization. Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma |
| 2017 | 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 |
| 2017 | Additional Multi-Touch Attribution for Online Advertising. Wendi Ji, Xiaoling Wang |
| 2017 | Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests. Zachary Alan Daniels, Dimitris N. Metaxas |
| 2017 | Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang |
| 2017 | Algorithms for Deciding Counting Quantifiers over Unary Predicates. Marcelo Finger, Glauber De Bona |
| 2017 | Algorithms for Max-Min Share Fair Allocation of Indivisible Chores. Haris Aziz, Gerhard Rauchecker, Guido Schryen, Toby Walsh |
| 2017 | Alternating Back-Propagation for Generator Network. Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu |
| 2017 | An Advising Framework for Multiagent Reinforcement Learning Systems. Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa |
| 2017 | An Ambiguity Aversion Model for Decision Making under Ambiguity. Wenjun Ma, Xudong Luo, Yuncheng Jiang |
| 2017 | An Analysis of Monte Carlo Tree Search. Steven James, George Dimitri Konidaris, Benjamin Rosman |
| 2017 | An Artificial Agent for Robust Image Registration. Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu |
| 2017 | An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. Zhuoru Li, Akshay Narayan, Tze-Yun Leong |
| 2017 | 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 |
| 2017 | 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 |
| 2017 | An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams. Muhammad Usman Arif |
| 2017 | An Exact Algorithm for the Maximum Weight Clique Problem in Large Graphs. Hua Jiang, Chu-Min Li, Felip Manyà |
| 2017 | An Exact Penalty Method for Binary Optimization Based on MPEC Formulation. Ganzhao Yuan, Bernard Ghanem |
| 2017 | An Image Wherever You Look! Making Vision Just Another Sensor for AI/Robotics Projects. Andy Zhang, John Lee, Ciante Jones, Zachary Dodds |
| 2017 | An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction. Mengxue Zhang, Tushar Mathew, Brendan A. Juba |
| 2017 | An Integrated Model for Effective Saliency Prediction. Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen |
| 2017 | Analogical Chaining with Natural Language Instruction for Commonsense Reasoning. Joseph A. Blass, Kenneth D. Forbus |
| 2017 | Android Malware Detection with Weak Ground Truth Data. Jordan DeLoach, Doina Caragea, Xinming Ou |
| 2017 | AniDraw: When Music and Dance Meet Harmoniously. Yaohua Bu, Taoran Tang, Jia Jia, Zhiyuan Ma, Songyao Wu, Yuming You |
| 2017 | Anytime Anyspace AND/OR Search for Bounding the Partition Function. Qi Lou, Rina Dechter, Alexander Ihler |
| 2017 | Anytime Best+Depth-First Search for Bounding Marginal MAP. Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter |
| 2017 | Application for AI-OCR Module: Auto Detection of Emails/Letter Images. Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada |
| 2017 | Approximate Conditional Gradient Descent on Multi-Class Classification. Zhuanghua Liu, Ivor W. Tsang |
| 2017 | Approximation and Parameterized Complexity of Minimax Approval Voting. Marek Cygan, Lukasz Kowalik, Arkadiusz Socala, Krzysztof Sornat |
| 2017 | Arnold: An Autonomous Agent to Play FPS Games. Devendra Singh Chaplot, Guillaume Lample |
| 2017 | Associate Latent Encodings in Learning from Demonstrations. Hang Yin, Francisco S. Melo, Aude Billard, Ana Paiva |
| 2017 | Associative Memory Using Dictionary Learning and Expander Decoding. Arya Mazumdar, Ankit Singh Rawat |
| 2017 | Asymmetric Discrete Graph Hashing. Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang |
| 2017 | Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. Zhouyuan Huo, Heng Huang |
| 2017 | Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu |
| 2017 | Attention Based LSTM for Target Dependent Sentiment Classification. Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen |
| 2017 | Attention Correctness in Neural Image Captioning. Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille |
| 2017 | Attentive Interactive Neural Networks for Answer Selection in Community Question Answering. Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang |
| 2017 | Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification. Emily M. Hand, Rama Chellappa |
| 2017 | Audio Feature Learning with Triplet-Based Embedding Network. Xiaoyu Qi, Deshun Yang, Xiaoou Chen |
| 2017 | Authorship Attribution with Topic Drift Model. Min Yang, Dingju Zhu, Yong Tang, Jingxuan Wang |
| 2017 | Auto-Annotation of 3D Objects via ImageNet. Huan Luo, Cheng Wang, Jonathan Li |
| 2017 | Automated Data Cleansing through Meta-Learning. Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh |
| 2017 | Automated Data Extraction Using Predictive Program Synthesis. Mohammad Raza, Sumit Gulwani |
| 2017 | Automated Design of Robust Mechanisms. Michael Albert, Vincent Conitzer, Peter Stone |
| 2017 | Automated Negotiating Agents Competition (ANAC). Catholijn M. Jonker, Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Takayuki Ito, Koen V. Hindriks |
| 2017 | Automatic Curriculum Graph Generation for Reinforcement Learning Agents. Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone |
| 2017 | Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression. Yanju Chen, Rong Pan |
| 2017 | Automatic Logic-Based Benders Decomposition with MiniZinc. Toby O. Davies, Graeme Gange, Peter J. Stuckey |
| 2017 | Automatically Extracting Axioms in Classical Planning. Shuwa Miura, Alex Fukunaga |
| 2017 | Axiomatic Characterization of Game-Theoretic Network Centralities. Oskar Skibski, Tomasz P. Michalak, Talal Rahwan |
| 2017 | Balanced Clustering with Least Square Regression. Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li |
| 2017 | BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings. Biao Zhang, Deyi Xiong, Jinsong Su |
| 2017 | Bayesian Neural Word Embedding. Oren Barkan |
| 2017 | Best-First Width Search: Exploration and Exploitation in Classical Planning. Nir Lipovetzky, Hector Geffner |
| 2017 | Between Subgraph Isomorphism and Maximum Common Subgraph. Ruth Hoffmann, Ciaran McCreesh, Craig Reilly |
| 2017 | Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen |
| 2017 | Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation. Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao |
| 2017 | Beyond RPCA: Flattening Complex Noise in the Frequency Domain. Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao |
| 2017 | Bilateral k-Means Algorithm for Fast Co-Clustering. Junwei Han, Kun Song, Feiping Nie, Xuelong Li |
| 2017 | Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations. Yang Zhou, Haiping Lu, Yiu-ming Cheung |
| 2017 | Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision. Meng Zhang, Haoruo Peng, Yang Liu, Huan-Bo Luan, Maosong Sun |
| 2017 | Binary Embedding with Additive Homogeneous Kernels. Saehoon Kim, Seungjin Choi |
| 2017 | Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li |
| 2017 | Boosting for Real-Time Multivariate Time Series Classification. Haishuai Wang, Jun Wu |
| 2017 | Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen |
| 2017 | Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation. Josiah P. Hanna, Peter Stone, Scott Niekum |
| 2017 | Bounded Rationality of Restricted Turing Machines. Lijie Chen, Pingzhong Tang, Ruosong Wang |
| 2017 | Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs. Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan |
| 2017 | Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments. Linli Xu, Chao Zhang |
| 2017 | Building Task-Oriented Dialogue Systems for Online Shopping. Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li |
| 2017 | Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution. Jun Guo, Hongyang Chao |
| 2017 | CBRAP: Contextual Bandits with RAndom Projection. Xiaotian Yu, Michael R. Lyu, Irwin King |
| 2017 | CLARE: A Joint Approach to Label Classification and Tag Recommendation. Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li |
| 2017 | Calories Prediction from Food Images. Manal Chokr, Shady Elbassuoni |
| 2017 | Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data. Shan Wu, Shangfei Wang, Qiang Ji |
| 2017 | Cascade Subspace Clustering. Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi |
| 2017 | Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations. Kai Zhu, Zhen Chen, Lei Ying |
| 2017 | Causal Discovery Using Regression-Based Conditional Independence Tests. Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan |
| 2017 | Causal Effect Identification by Adjustment under Confounding and Selection Biases. Juan D. Correa, Elias Bareinboim |
| 2017 | Centralized versus Personalized Commitments and Their Influence on Cooperation in Group Interactions. The Anh Han, Luís Moniz Pereira, Luis A. Martinez-Vaquero, Tom Lenaerts |
| 2017 | Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback. Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar |
| 2017 | Checking the Consistency of Combined Qualitative Constraint Networks. Quentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau |
| 2017 | Classification with Minimax Distance Measures. Morteza Haghir Chehreghani |
| 2017 | Cleaning the Null Space: A Privacy Mechanism for Predictors. Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer |
| 2017 | Closing the Loop for Edge Detection and Object Proposals. Yao Lu, Linda G. Shapiro |
| 2017 | CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP Solver. Cornelis Jan van Leeuwen, Przemyslaw Pawelczak |
| 2017 | Coactive Critiquing: Elicitation of Preferences and Features. Stefano Teso, Paolo Dragone, Andrea Passerini |
| 2017 | Coalition Structure Generation Utilizing Graphical Representation of Partition Function Games. Kazuki Nomoto, Yuko Sakurai, Makoto Yokoo |
| 2017 | Coherent Dialogue with Attention-Based Language Models. Hongyuan Mei, Mohit Bansal, Matthew R. Walter |
| 2017 | Collaborative Company Profiling: Insights from an Employee's Perspective. Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong |
| 2017 | Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. Li Gao, Jia Wu, Chuan Zhou, Yue Hu |
| 2017 | Collaborative Planning with Encoding of Users' High-Level Strategies. Joseph Kim, Christopher J. Banks, Julie A. Shah |
| 2017 | Collaborative User Clustering for Short Text Streams. Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas |
| 2017 | Collective Deep Quantization for Efficient Cross-Modal Retrieval. Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu |
| 2017 | Collective Multiagent Sequential Decision Making Under Uncertainty. Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau |
| 2017 | Column Networks for Collective Classification. Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2017 | Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge. Wang-Zhou Dai, Zhi-Hua Zhou |
| 2017 | Combining Satellite Imagery and Open Data to Map Road Safety. Alameen Najjar, Shun'ichi Kaneko, Yoshikazu Miyanaga |
| 2017 | Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features. Zihao Chen, Luo Luo, Zhihua Zhang |
| 2017 | Community Preserving Network Embedding. Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang |
| 2017 | Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning. Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang |
| 2017 | Community-Based Question Answering via Contextual Ranking Metric Network Learning. Hanqing Lu, Ming Kong |
| 2017 | Compiling Graph Substructures into Sentential Decision Diagrams. Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata |
| 2017 | Complexity of Manipulating Sequential Allocation. Haris Aziz, Sylvain Bouveret, Jérôme Lang, Simon Mackenzie |
| 2017 | Complexity of the Stable Invitations Problem. Hooyeon Lee, Virginia Vassilevska Williams |
| 2017 | Compressed K-Means for Large-Scale Clustering. Xiao-Bo Shen, Weiwei Liu, Ivor W. Tsang, Fumin Shen, Quan-Sen Sun |
| 2017 | Computational Issues in Time-Inconsistent Planning. Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu |
| 2017 | Computing Least Cores of Supermodular Cooperative Games. Daisuke Hatano, Yuichi Yoshida |
| 2017 | ConceptNet 5.5: An Open Multilingual Graph of General Knowledge. Robyn Speer, Joshua Chin, Catherine Havasi |
| 2017 | 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 |
| 2017 | Confidence-Rated Discriminative Partial Label Learning. Cai-Zhi Tang, Min-Ling Zhang |
| 2017 | Configuration Planning with Temporal Constraints. Uwe Köckemann, Lars Karlsson |
| 2017 | Constrained Pure Nash Equilibria in Polymatrix Games. Sunil Simon, Dominik Wojtczak |
| 2017 | Constraint-Based Verification of a Mobile App Game Designed for Nudging People to Attend Cancer Screening. Arnaud Gotlieb, Marine Louarn, Mari Nygård, Tomás Ruiz-López, Sagar Sen, Roberta Gori |
| 2017 | Contextual RNN-GANs for Abstract Reasoning Diagram Generation. Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal |
| 2017 | Continuous Conditional Dependency Network for Structured Regression. Chao Han, Mohamed F. Ghalwash, Zoran Obradovic |
| 2017 | Convex Co-Embedding for Matrix Completion with Predictive Side Information. Yuhong Guo |
| 2017 | Coordinating Human and Agent Behavior in Collective-Risk Scenarios. Elias Fernández Domingos, Juan-Carlos Burguillo, Ann Nowé, Tom Lenaerts |
| 2017 | Cornhole: A Widely-Accessible AI Robotics Task. Nate Derbinsky, Tyler M. Frasca |
| 2017 | Correlated Cascades: Compete or Cooperate. Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha |
| 2017 | Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao |
| 2017 | Counting-Based Reliability Estimation for Power-Transmission Grids. Leonardo Dueñas-Osorio, Kuldeep S. Meel, Roger Paredes, Moshe Y. Vardi |
| 2017 | Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao |
| 2017 | Coupling Implicit and Explicit Knowledge for Customer Volume Prediction. Jingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong |
| 2017 | Cracks Under Pressure? Burst Prediction in Water Networks Using Dynamic Metrics. Gollakota Kaushik, Abinaya Manimaran, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam |
| 2017 | Creating Serious Robots That Improve Society. Susan P. Imberman, Jean McManus, Gina Otts |
| 2017 | Cross-Domain Kernel Induction for Transfer Learning. Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang |
| 2017 | Cross-Domain Ranking via Latent Space Learning. Jie Tang, Wendy Hall |
| 2017 | Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost. Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang |
| 2017 | Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing. Yuanlu Xu, Xiaobai Liu, Lei Qin, Song-Chun Zhu |
| 2017 | Crowdsensing Air Quality with Camera-Enabled Mobile Devices. Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung |
| 2017 | Crowdsourced Outcome Determination in Prediction Markets. Rupert Freeman, Sébastien Lahaie, David M. Pennock |
| 2017 | Cycle-Based Singleton Local Consistencies. Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere |
| 2017 | DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos. Chuang Gan, Chen Sun, Ram Nevatia |
| 2017 | Dancing with Decision Diagrams: A Combined Approach to Exact Cover. Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata |
| 2017 | Data-Driven Approximations to NP-Hard Problems. Anton Milan, Seyed Hamid Rezatofighi, Ravi Garg, Anthony R. Dick, Ian D. Reid |
| 2017 | Decentralized Planning in Stochastic Environments with Submodular Rewards. Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar |
| 2017 | Deep Collective Inference. John Moore, Jennifer Neville |
| 2017 | Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval. Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang |
| 2017 | Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon |
| 2017 | Deep Hashing: A Joint Approach for Image Signature Learning. Yadong Mu, Zhu Liu |
| 2017 | Deep Learning Quadcopter Control via Risk-Aware Active Learning. Olov Andersson, Mariusz Wzorek, Patrick Doherty |
| 2017 | Deep Learning for Fixed Model Reuse. Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou |
| 2017 | Deep MIML Network. Ji Feng, Zhi-Hua Zhou |
| 2017 | Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition. Zhen Dong, Su Jia, Chi Zhang, Mingtao Pei, Yuwei Wu |
| 2017 | Deep Music: Towards Musical Dialogue. Mason Bretan, Sageev Oore, Jesse H. Engel, Douglas Eck, Larry P. Heck |
| 2017 | Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction. Junbo Zhang, Yu Zheng, Dekang Qi |
| 2017 | DeepFix: Fixing Common C Language Errors by Deep Learning. Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade |
| 2017 | Definition Modeling: Learning to Define Word Embeddings in Natural Language. Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey |
| 2017 | Denoising Criterion for Variational Auto-Encoding Framework. Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio |
| 2017 | Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs. Xinhang Song, Luis Herranz, Shuqiang Jiang |
| 2017 | Designing Better Playlists with Monte Carlo Tree Search. Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, Peter Stone |
| 2017 | Detecting Review Spammer Groups. Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu |
| 2017 | Detection and Recognition of Text Embedded in Online Images via Neural Context Models. Chulmoo Kang, Gunhee Kim, Suk I. Yoo |
| 2017 | 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 |
| 2017 | Deterministic Attention for Sequence-to-Sequence Constituent Parsing. Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita |
| 2017 | Deterministic versus Probabilistic Methods for Searching for an Evasive Target. Sara Bernardini, Maria Fox, Derek Long, Chiara Piacentini |
| 2017 | Diagnosability Planning for Controllable Discrete Event Systems. Hassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon |
| 2017 | Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network. Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji |
| 2017 | Disambiguating Spatial Prepositions Using Deep Convolutional Networks. Kaveh Hassani, Won-Sook Lee |
| 2017 | Disarmament Games. Yuan Deng, Vincent Conitzer |
| 2017 | Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning. Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
| 2017 | Discovering Conversational Dependencies between Messages in Dialogs. Wenchao Du, Pascal Poupart, Wei Xu |
| 2017 | Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback. Yan Zhang, Defu Lian, Guowu Yang |
| 2017 | Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification. Meng Yang, Lin Chen |
| 2017 | Distant Domain Transfer Learning. Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang |
| 2017 | Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao |
| 2017 | Distant Supervision via Prototype-Based Global Representation Learning. Xianpei Han, Le Sun |
| 2017 | Distinguish Polarity in Bag-of-Words Visualization. Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary |
| 2017 | Distributed Negative Sampling for Word Embeddings. Stergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis |
| 2017 | Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery. Hengyang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie |
| 2017 | Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding. Xiaolong Wang, Jingjing Wang, ChengXiang Zhai |
| 2017 | Dude, Where's My Robot?: A Localization Challenge for Undergraduate Robotics. Paul Ruvolo |
| 2017 | Dynamic Action Repetition for Deep Reinforcement Learning. Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran |
| 2017 | 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 |
| 2017 | Dynamic Thresholding and Pruning for Regret Minimization. Noam Brown, Christian Kroer, Tuomas Sandholm |
| 2017 | Dynamically Constructed (PO)MDPs for Adaptive Robot Planning. Shiqi Zhang, Piyush Khandelwal, Peter Stone |
| 2017 | ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha |
| 2017 | ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy. Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang |
| 2017 | Efficient Clinical Concept Extraction in Electronic Medical Records. Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer F. Syeda-Mahmood |
| 2017 | 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 |
| 2017 | Efficient Dependency-Guided Named Entity Recognition. Zhanming Jie, Aldrian Obaja Muis, Wei Lu |
| 2017 | Efficient Evaluation of Answer Set Programs with External Sources Based on External Source Inlining. Christoph Redl |
| 2017 | Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates. Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker |
| 2017 | Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang |
| 2017 | Efficient Object Instance Search Using Fuzzy Objects Matching. Tan Yu, Yuwei Wu, Sreyasee Das Bhattacharjee, Junsong Yuan |
| 2017 | Efficient Online Model Adaptation by Incremental Simplex Tableau. Zhixian Lei, Xuehan Ye, Yongcai Wang, Deying Li, Jia Xu |
| 2017 | Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang |
| 2017 | Efficient Parameter Importance Analysis via Ablation with Surrogates. Andre Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos |
| 2017 | Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm. Xiawei Guo, Quanming Yao, James Tin-Yau Kwok |
| 2017 | Efficient Stochastic Optimization for Low-Rank Distance Metric Learning. Jie Zhang, Lijun Zhang |
| 2017 | Efficiently Answering Technical Questions - A Knowledge Graph Approach. Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen |
| 2017 | Efficiently Mining High Quality Phrases from Texts. Bing Li, Xiaochun Yang, Bin Wang, Wei Cui |
| 2017 | Embedded Bandits for Large-Scale Black-Box Optimization. Abdullah Al-Dujaili, Suresh Sundaram |
| 2017 | Enabling Dark Energy Science with Deep Generative Models of Galaxy Images. Siamak Ravanbakhsh, François Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos |
| 2017 | Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents. Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu |
| 2017 | Enhancing the Privacy of Predictors. Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer |
| 2017 | Entropic Causal Inference. Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi |
| 2017 | Enumerate Lasso Solutions for Feature Selection. Satoshi Hara, Takanori Maehara |
| 2017 | Envy-Free Mechanisms with Minimum Number of Cuts. Reza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik |
| 2017 | Estimating Uncertainty Online Against an Adversary. Volodymyr Kuleshov, Stefano Ermon |
| 2017 | Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems. Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli |
| 2017 | Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton. Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen |
| 2017 | Evolutionary Machine Learning for RTS Game StarCraft. Lianlong Wu, Andrew Markham |
| 2017 | Examples-Rules Guided Deep Neural Network for Makeup Recommendation. Taleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu |
| 2017 | Exclusion Method for Finding Nash Equilibrium in Multiplayer Games. Kimmo Berg, Tuomas Sandholm |
| 2017 | Expectile Matrix Factorization for Skewed Data Analysis. Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li |
| 2017 | Explainable Agency for Intelligent Autonomous Systems. Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi |
| 2017 | Explainable Image Understanding Using Vision and Reasoning. Somak Aditya |
| 2017 | Explaining Ourselves: Human-Aware Constraint Reasoning. Eugene C. Freuder |
| 2017 | Explicit Defense Actions Against Test-Set Attacks. Scott Alfeld, Xiaojin Zhu, Paul Barford |
| 2017 | Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon |
| 2017 | Exploring Artificial Intelligence Through Image Recognition. Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada |
| 2017 | Exploring Commonality and Individuality for Multi-Modal Curriculum Learning. Chen Gong |
| 2017 | Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. Wenling Shang, Justin Chiu, Kihyuk Sohn |
| 2017 | Extending Compact-Table to Negative and Short Tables. Hélène Verhaeghe, Christophe Lecoutre, Pierre Schaus |
| 2017 | Extensive-Form Perfect Equilibrium Computation in Two-Player Games. Gabriele Farina, Nicola Gatti |
| 2017 | Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization. Sunny Verma, Wei Liu, Chen Wang, Liming Zhu |
| 2017 | Extracting Urban Microclimates from Electricity Bills. Thuy Vu, Douglas Stott Parker |
| 2017 | Extreme Gradient Boosting and Behavioral Biometrics. Benjamin Manning |
| 2017 | Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks. Xin Yu, Fatih Porikli |
| 2017 | Factorization Bandits for Interactive Recommendation. Huazheng Wang, Qingyun Wu, Hongning Wang |
| 2017 | Fans Economy and All-Pay Auctions with Proportional Allocations. Pingzhong Tang, Yulong Zeng, Song Zuo |
| 2017 | Fast Compressive Phase Retrieval under Bounded Noise. Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu |
| 2017 | Fast Electrical Demand Optimization Under Real-Time Pricing. Shan He, Mark Wallace, Campbell Wilson, Ariel Liebman |
| 2017 | Fast Generalized Distillation for Semi-Supervised Domain Adaptation. Shuang Ao, Xiang Li, Charles X. Ling |
| 2017 | Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction. Masamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi |
| 2017 | Fast Online Incremental Learning on Mixture Streaming Data. Yi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo |
| 2017 | Fast SSP Solvers Using Short-Sighted Labeling. Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein |
| 2017 | Fast-Tracking Stationary MOMDPs for Adaptive Management Problems. Martin Péron, Kai Helge Becker, Peter L. Bartlett, Iadine Chades |
| 2017 | Faster and Simpler Algorithm for Optimal Strategies of Blotto Game. Soheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin |
| 2017 | FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen |
| 2017 | Feature Selection Guided Auto-Encoder. Shuyang Wang, Zhengming Ding, Yun Fu |
| 2017 | Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem. Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin |
| 2017 | Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization. Arun Reddy Nelakurthi, Jingrui He |
| 2017 | Fine-Grained Car Detection for Visual Census Estimation. Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei |
| 2017 | 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 |
| 2017 | Flexible Model Induction through Heuristic Process Discovery. Pat Langley, Adam Arvay |
| 2017 | Frame-Based Ontology Alignment. Luigi Asprino, Valentina Presutti, Aldo Gangemi, Paolo Ciancarini |
| 2017 | Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation. Wei Wang, Hao Wang, Chen Zhang, Yang Gao |
| 2017 | From Semantic Models to Cognitive Buildings. Joern Ploennigs, Anika Schumann |
| 2017 | 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 |
| 2017 | Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation. Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong |
| 2017 | 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 |
| 2017 | Gated Neural Networks for Option Pricing: Rationality by Design. Yongxin Yang, Yu Zheng, Timothy M. Hospedales |
| 2017 | General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis. Colin Wei, Stefano Ermon |
| 2017 | Generalization Analysis for Ranking Using Integral Operator. Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang |
| 2017 | Generalization Error Bounds for Optimization Algorithms via Stability. Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu |
| 2017 | Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning. Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu |
| 2017 | Geometry of Compositionality. Hongyu Gong, Suma Bhat, Pramod Viswanath |
| 2017 | Getting More Out of the Exposed Structure in Constraint Programming Models of Combinatorial Problems. Gilles Pesant |
| 2017 | Goal Operations for Cognitive Systems. Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta |
| 2017 | Going Beyond Primal Treewidth for (M)ILP. Robert Ganian, Sebastian Ordyniak, M. S. Ramanujan |
| 2017 | Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy. Jiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang |
| 2017 | Greedy Flipping for Constrained Word Deletion. Jin-Ge Yao, Xiaojun Wan |
| 2017 | Grid Pathfinding on the 2 Nicolas Rivera, Carlos Hernández, Jorge A. Baier |
| 2017 | Grounded Action Transformation for Robot Learning in Simulation. Josiah P. Hanna, Peter Stone |
| 2017 | Grounded Action Transformation for Robot Learning in Simulation. Josiah P. Hanna, Peter Stone |
| 2017 | Group Activity Selection on Social Networks. Ayumi Igarashi, Dominik Peters, Edith Elkind |
| 2017 | Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu |
| 2017 | Handwriting Profiling Using Generative Adversarial Networks. Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury |
| 2017 | 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 |
| 2017 | Heavy-Tailed Analogues of the Covariance Matrix for ICA. Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher |
| 2017 | Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games. Karel Horák, Branislav Bosanský, Michal Pechoucek |
| 2017 | High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding. Fandong Zhang, Jufu Feng |
| 2017 | Higher-Dimensional Potential Heuristics for Optimal Classical Planning. Florian Pommerening, Malte Helmert, Blai Bonet |
| 2017 | Hindsight Optimization for Hybrid State and Action MDPs. Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern |
| 2017 | How to Train a Compact Binary Neural Network with High Accuracy? Wei Tang, Gang Hua, Liang Wang |
| 2017 | Human-Aware Plan Recognition. Hankz Hankui Zhuo |
| 2017 | Human-Like Spatial Reasoning Formalisms. Przemyslaw Andrzej Walega |
| 2017 | Hybridizing Interval Temporal Logics: The First Step. Przemyslaw Andrzej Walega |
| 2017 | 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 |
| 2017 | ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava |
| 2017 | Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration. Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz |
| 2017 | Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis. Abhishek Sharma, Keith M. Goolsbey |
| 2017 | Image Caption with Global-Local Attention. Linghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian |
| 2017 | Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu |
| 2017 | Imagined Visual Representations as Multimodal Embeddings. Guillem Collell, Ted Zhang, Marie-Francine Moens |
| 2017 | Importance Sampling with Unequal Support. Philip S. Thomas, Emma Brunskill |
| 2017 | Improving Deep Reinforcement Learning with Knowledge Transfer. Ruben Glatt, Anna Helena Reali Costa |
| 2017 | Improving Efficiency of SVM Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang |
| 2017 | 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 |
| 2017 | Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract). Masataro Asai, Alex Fukunaga |
| 2017 | Improving Multi-Document Summarization via Text Classification. Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei |
| 2017 | Improving Performance of Analogue Readout Layers for Photonic Reservoir Computers with Online Learning. Piotr Antonik, Marc Haelterman, Serge Massar |
| 2017 | Improving Surveillance Using Cooperative Target Observation. Rashi Aswani, Sai Krishna Munnangi, Praveen Paruchuri |
| 2017 | Improving Word Embeddings with Convolutional Feature Learning and Subword Information. Shaosheng Cao, Wei Lu |
| 2017 | Incentivising Monitoring in Open Normative Systems. Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan |
| 2017 | Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi |
| 2017 | Incidental Supervision: Moving beyond Supervised Learning. Dan Roth |
| 2017 | Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning. Vikas Shivashankar, Ron Alford, David W. Aha |
| 2017 | Incorporating Expert Knowledge into Keyphrase Extraction. Sujatha Das Gollapalli, Xiaoli Li, Peng Yang |
| 2017 | Incorporating Knowledge Graph Embeddings into Topic Modeling. Liang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen |
| 2017 | Incrementally Learning the Hierarchical Softmax Function for Neural Language Models. Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu |
| 2017 | Inductive Pairwise Ranking: Going Beyond the U. N. Niranjan, Arun Rajkumar |
| 2017 | Inductive Reasoning about Ontologies Using Conceptual Spaces. Zied Bouraoui, Shoaib Jameel, Steven Schockaert |
| 2017 | Infinite Kernel Learning: Generalization Bounds and Algorithms. Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang |
| 2017 | Infinitely Many-Armed Bandits with Budget Constraints. Haifang Li, Yingce Xia |
| 2017 | Informative Subspace Learning for Counterfactual Inference. Yale Chang, Jennifer G. Dy |
| 2017 | 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 |
| 2017 | Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising Robot. Mason Bretan, Gil Weinberg |
| 2017 | Integration of Planning with Recognition for Responsive Interaction Using Classical Planners. Richard G. Freedman, Shlomo Zilberstein |
| 2017 | JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading. Igor Labutov, Christoph Studer |
| 2017 | Joint Copying and Restricted Generation for Paraphrase. Ziqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li |
| 2017 | 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 |
| 2017 | Joint Learning of Structural and Textual Features for Web Scale Event Extraction. Julia Wiedmann |
| 2017 | Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering. Wasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui |
| 2017 | Keyphrase Extraction with Sequential Pattern Mining. Qingren Wang, Victor S. Sheng, Xindong Wu |
| 2017 | Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein |
| 2017 | Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. Haiyan Yin, Sinno Jialin Pan |
| 2017 | Kont: Computing Tradeoffs in Normative Multiagent Systems. Özgür Kafali, Nirav Ajmeri, Munindar P. Singh |
| 2017 | LPMLN, Weak Constraints, and P-log. Joohyung Lee, Zhun Yang |
| 2017 | Label Efficient Learning by Exploiting Multi-Class Output Codes. Maria-Florina Balcan, Travis Dick, Yishay Mansour |
| 2017 | Label-Free Supervision of Neural Networks with Physics and Domain Knowledge. Russell Stewart, Stefano Ermon |
| 2017 | Landmark-Based Heuristics for Goal Recognition. Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi |
| 2017 | Large Graph Hashing with Spectral Rotation. Xuelong Li, Di Hu, Feiping Nie |
| 2017 | Large-Scale Occupational Skills Normalization for Online Recruitment. Faizan Javed, Phuong Hoang, Thomas Mahoney, Matt McNair |
| 2017 | Latent Dependency Forest Models. Shanbo Chu, Yong Jiang, Kewei Tu |
| 2017 | Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn |
| 2017 | Latent Discriminant Analysis with Representative Feature Discovery. Gang Chen |
| 2017 | Latent Smooth Skeleton Embedding. Li Wang, Qi Mao, Ivor W. Tsang |
| 2017 | Latent Tree Analysis. Nevin L. Zhang, Leonard K. M. Poon |
| 2017 | Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu |
| 2017 | Learning Attributes from the Crowdsourced Relative Labels. Tian Tian, Ning Chen, Jun Zhu |
| 2017 | Learning Bayesian Networks with Incomplete Data by Augmentation. Tameem Adel, Cassio P. de Campos |
| 2017 | Learning Context-Specific Word/Character Embeddings. Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang |
| 2017 | Learning Deep Latent Space for Multi-Label Classification. Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang |
| 2017 | Learning Discriminative Activated Simplices for Action Recognition. Chenxu Luo, Chang Ma, Chunyu Wang, Yizhou Wang |
| 2017 | 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 |
| 2017 | Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka |
| 2017 | Learning Invariant Deep Representation for NIR-VIS Face Recognition. Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan |
| 2017 | Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis. Hao Li, Wei Lu |
| 2017 | Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance. Atsutoshi Kumagai, Tomoharu Iwata |
| 2017 | Learning Options in Multiobjective Reinforcement Learning. Rodrigo Cesar Bonini, Felipe Leno da Silva, Anna Helena Reali Costa |
| 2017 | Learning Patch-Based Dynamic Graph for Visual Tracking. Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang |
| 2017 | Learning Residual Alternating Automata. Sebastian Berndt, Maciej Liskiewicz, Matthias Lutter, Rüdiger Reischuk |
| 2017 | Learning Safe Prediction for Semi-Supervised Regression. Yufeng Li, Han-Wen Zha, Zhi-Hua Zhou |
| 2017 | Learning Sparse Task Relations in Multi-Task Learning. Yu Zhang, Qiang Yang |
| 2017 | Learning Unitary Operators with Help From u(n). Stephanie L. Hyland, Gunnar Rätsch |
| 2017 | Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network. Jufeng Yang, Ming Sun, Xiaoxiao Sun |
| 2017 | Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains. Yuu Jinnai, Alex Fukunaga |
| 2017 | Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination. Yosef Razin, Karen M. Feigh |
| 2017 | Learning to Prune Dominated Action Sequences in Online Black-Box Planning. Yuu Jinnai, Alex S. Fukunaga |
| 2017 | Learning with Feature Network and Label Network Simultaneously. Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang |
| 2017 | 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 |
| 2017 | Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines. Arjun Yogeswaran, Pierre Payeur |
| 2017 | 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 |
| 2017 | Lifted Inference for Convex Quadratic Programs. Martin Mladenov, Leonard Kleinhans, Kristian Kersting |
| 2017 | Local Centroids Structured Non-Negative Matrix Factorization. Hongchang Gao, Feiping Nie, Heng Huang |
| 2017 | Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. Muhammad Yousefnezhad, Daoqiang Zhang |
| 2017 | Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin |
| 2017 | Lock-Free Optimization for Non-Convex Problems. Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li |
| 2017 | Logical Filtering and Smoothing: State Estimation in Partially Observable Domains. Brent Mombourquette, Christian J. Muise, Sheila A. McIlraith |
| 2017 | Long-Term Trends in the Public Perception of Artificial Intelligence. Ethan Fast, Eric Horvitz |
| 2017 | Low-Rank Factorization of Determinantal Point Processes. Mike Gartrell, Ulrich Paquet, Noam Koenigstein |
| 2017 | Low-Rank Linear Cold-Start Recommendation from Social Data. Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas |
| 2017 | Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting. Xutao Li, Yunming Ye, Xiaofei Xu |
| 2017 | MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi |
| 2017 | Machine Learning for Entity Coreference Resolution: A Retrospective Look at Two Decades of Research. Vincent Ng |
| 2017 | Market Pricing for Data Streams. Melika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami |
| 2017 | Marrying Uncertainty and Time in Knowledge Graphs. Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt |
| 2017 | Matching Node Embeddings for Graph Similarity. Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis |
| 2017 | Matrix Factorisation for Scalable Energy Breakdown. Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse |
| 2017 | Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath |
| 2017 | Maximum Model Counting. Daniel J. Fremont, Markus N. Rabe, Sanjit A. Seshia |
| 2017 | Maximum Reconstruction Estimation for Generative Latent-Variable Models. Yong Cheng, Yang Liu, Wei Xu |
| 2017 | Mechanism Design for Multi-Type Housing Markets. Sujoy Sikdar, Sibel Adali, Lirong Xia |
| 2017 | Mechanism Design in Social Networks. Bin Li, Dong Hao, Dengji Zhao, Tao Zhou |
| 2017 | Mechanism-Aware Neural Machine for Dialogue Response Generation. Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He |
| 2017 | Minimal Undefinedness for Fuzzy Answer Sets. Mario Alviano, Giovanni Amendola, Rafael Peñaloza |
| 2017 | Misspecified Linear Bandits. Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan |
| 2017 | Mixed Discrete-Continuous Planning with Convex Optimization. Enrique Fernández-González, Erez Karpas, Brian Charles Williams |
| 2017 | 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 |
| 2017 | Modeling Skewed Class Distributions by Reshaping the Concept Space. Kyle D. Feuz, Diane J. Cook |
| 2017 | Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu |
| 2017 | Modelling Familiarity for Intelligent Personalized Social Mobilization. Zhengxiang Pan |
| 2017 | Moral Decision Making Frameworks for Artificial Intelligence. Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer |
| 2017 | Multi-Agent Path Finding with Delay Probabilities. Hang Ma, T. K. Satish Kumar, Sven Koenig |
| 2017 | 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 |
| 2017 | Multi-Objective Influence Diagrams with Possibly Optimal Policies. Radu Marinescu, Abdul Razak, Nic Wilson |
| 2017 | Multi-Path Feedback Recurrent Neural Networks for Scene Parsing. Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan |
| 2017 | Multi-Robot Allocation of Tasks with Temporal and Ordering Constraints. Maria L. Gini |
| 2017 | 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 |
| 2017 | Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours. Feiping Nie, Guohao Cai, Xuelong Li |
| 2017 | Multi-View Clustering via Deep Matrix Factorization. Handong Zhao, Zhengming Ding, Yun Fu |
| 2017 | Multi-View Correlated Feature Learning by Uncovering Shared Component. Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao |
| 2017 | Multiclass Capped ℓp-Norm SVM for Robust Classifications. Feiping Nie, Xiaoqian Wang, Heng Huang |
| 2017 | Multidimensional Scaling on Multiple Input Distance Matrices. Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian |
| 2017 | Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis. Xiaonan Song, Haiping Lu |
| 2017 | Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition. Nattapong Thammasan, Ken-ichi Fukui, Masayuki Numao |
| 2017 | Multiple Kernel k-Means with Incomplete Kernels. Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu |
| 2017 | Multiple Source Detection without Knowing the Underlying Propagation Model. Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye |
| 2017 | 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 |
| 2017 | Multiset Feature Learning for Highly Imbalanced Data Classification. Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang |
| 2017 | 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 |
| 2017 | Multivariate Hawkes Processes for Large-Scale Inference. Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos |
| 2017 | Multiwinner Approval Rules as Apportionment Methods. Markus Brill, Jean-François Laslier, Piotr Skowron |
| 2017 | Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning. Jendrik Seipp, Thomas Keller, Malte Helmert |
| 2017 | Nash Stability in Social Distance Games. Alkida Balliu, Michele Flammini, Giovanna Melideo, Dennis Olivetti |
| 2017 | Natural Language Acquisition and Grounding for Embodied Robotic Systems. Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn |
| 2017 | 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 |
| 2017 | Natural Language Person Retrieval. Tao Zhou, Jie Yu |
| 2017 | Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting. Lin Chen, Seyed Hamed Hassani, Amin Karbasi |
| 2017 | Network, Popularity and Social Cohesion: A Game-Theoretic Approach. Jiamou Liu, Ziheng Wei |
| 2017 | Neural Bag-of-Ngrams. Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du |
| 2017 | Neural Machine Translation Advised by Statistical Machine Translation. Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang |
| 2017 | Neural Machine Translation with Reconstruction. Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li |
| 2017 | Neural Models for Sequence Chunking. Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou |
| 2017 | Neural Programming by Example. Chengxun Shu, Hongyu Zhang |
| 2017 | Neuron Learning Machine for Representation Learning. Jia Liu, Maoguo Gong, Qiguang Miao |
| 2017 | New Lower Bound for the Minimum Sum Coloring Problem. Clément Lecat, Corinne Lucet, Chu-Min Li |
| 2017 | Non-Additive Security Games. Sinong Wang, Fang Liu, Ness B. Shroff |
| 2017 | 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 |
| 2017 | Non-Monotone DR-Submodular Function Maximization. Tasuku Soma, Yuichi Yoshida |
| 2017 | Non-Negative Inductive Matrix Completion for Discrete Dyadic Data. Piyush Rai |
| 2017 | Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs. Yi Tay, Anh Tuan Luu, Siu Cheung Hui |
| 2017 | Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization. Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou |
| 2017 | Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction. Sakyasingha Dasgupta, Takayuki Osogami |
| 2017 | Nonnegative Orthogonal Graph Matching. Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo |
| 2017 | Novel Geometric Approach for Global Alignment of PPI Networks. Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu |
| 2017 | Number Restrictions on Transitive Roles in Description Logics with Nominals. Víctor Gutiérrez-Basulto, Yazmín Angélica Ibáñez-García, Jean Christoph Jung |
| 2017 | Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting. Igor Rochlin, David Sarne, Maytal Bremer, Ben Grynhaus |
| 2017 | OFFER: Off-Environment Reinforcement Learning. Kamil Andrzej Ciosek, Shimon Whiteson |
| 2017 | Obvious Strategyproofness Needs Monitoring for Good Approximations. Diodato Ferraioli, Carmine Ventre |
| 2017 | On Covering Codes and Upper Bounds for the Dimension of Simple Games. Martin Olsen |
| 2017 | On Designing a Social Coach to Promote Regular Aerobic Exercise. Shiwali Mohan, Anusha Venkatakrishnan, Michael Silva, Peter Pirolli |
| 2017 | On Equivalence and Inconsistency of Answer Set Programs with External Sources. Christoph Redl |
| 2017 | On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann |
| 2017 | On Learning High Dimensional Structured Single Index Models. Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak |
| 2017 | On Markov Games Played by Bayesian and Boundedly-Rational Players. Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi |
| 2017 | On Pareto Optimality in Social Distance Games. Alkida Balliu, Michele Flammini, Dennis Olivetti |
| 2017 | On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu |
| 2017 | On the Computation of Paracoherent Answer Sets. Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca |
| 2017 | On the Disruptive Effectiveness of Automated Planning for LTL Giuseppe De Giacomo, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi |
| 2017 | On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies. Jiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang, Pinpin Zhu |
| 2017 | 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 |
| 2017 | Online Active Linear Regression via Thresholding. Carlos Riquelme, Ramesh Johari, Baosen Zhang |
| 2017 | Online Multi-Target Tracking Using Recurrent Neural Networks. Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid, Konrad Schindler |
| 2017 | Online SPARC for Drawing and Animation. Elias Marcopoulos, Maede Rayatidamavandi, Crisel Suárez, Yuanlin Zhang |
| 2017 | Ontology Materialization by Abstraction Refinement in Horn SHOIF. Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran |
| 2017 | 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 |
| 2017 | Ontology-Mediated Queries for Probabilistic Databases. Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz |
| 2017 | Open-Ended Robotics Exploration Projects for Budding Researchers. David R. Musicant, Abha Laddha, Tom Choi |
| 2017 | Open-Universe Weighted Model Counting. Vaishak Belle |
| 2017 | Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge. Matt Gardner, Jayant Krishnamurthy |
| 2017 | Optimal Neighborhood Kernel Clustering with Multiple Kernels. Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin |
| 2017 | Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An |
| 2017 | Optimal Pricing for Submodular Valuations with Bounded Curvature. Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi |
| 2017 | Optimal Sequential Drilling for Hydrocarbon Field Development Planning. Ruben Rodriguez Torrado, Jesus Rios, Gerald Tesauro |
| 2017 | Optimizing Expectation with Guarantees in POMDPs. Krishnendu Chatterjee, Petr Novotný, Guillermo A. Pérez, Jean-François Raskin, Dorde Zikelic |
| 2017 | Optimizing Positional Scoring Rules for Rank Aggregation. Ioannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris |
| 2017 | Optimizing Quantiles in Preference-Based Markov Decision Processes. Hugo Gilbert, Paul Weng, Yan Xu |
| 2017 | Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang |
| 2017 | PAC Identification of a Bandit Arm Relative to a Reward Quantile. Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan |
| 2017 | PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures. Nishant Subramani, Doug Downey |
| 2017 | 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 |
| 2017 | POI2Vec: Geographical Latent Representation for Predicting Future Visitors. Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee |
| 2017 | Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. Takeru Sunahase, Yukino Baba, Hisashi Kashima |
| 2017 | Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao |
| 2017 | Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization. Cong Fang, Zhouchen Lin |
| 2017 | Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning. Kun Song, Feiping Nie, Junwei Han, Xuelong Li |
| 2017 | Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction. Panagiotis Kouvaros, Alessio Lomuscio |
| 2017 | Parametric Dual Maximization for Non-Convex Learning Problems. Yuxun Zhou, Zhaoyi Kang, Costas J. Spanos |
| 2017 | ParkUs: A Novel Vehicle Parking Detection System. Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan |
| 2017 | Participatory Art Museum: Collecting and Modeling Crowd Opinions. Xiaoyu Zeng, Ruohan Zhang |
| 2017 | Partitioned Sampling of Public Opinions Based on Their Social Dynamics. Weiran Huang, Liang Li, Wei Chen |
| 2017 | Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao |
| 2017 | Personalized Donor-Recipient Matching for Organ Transplantation. Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar |
| 2017 | Phase Transitions for Scale-Free SAT Formulas. Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton |
| 2017 | 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 |
| 2017 | Phragmén's Voting Methods and Justified Representation. Markus Brill, Rupert Freeman, Svante Janson, Martin Lackner |
| 2017 | Phrase-Based Presentation Slides Generation for Academic Papers. Sida Wang, Xiaojun Wan, Shikang Du |
| 2017 | Plan Recognition Design. Reuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech |
| 2017 | Plan Reordering and Parallel Execution - A Parameterized Complexity View. Meysam Aghighi, Christer Bäckström |
| 2017 | Playing FPS Games with Deep Reinforcement Learning. Guillaume Lample, Devendra Singh Chaplot |
| 2017 | Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. Alejandro Molina, Sriraam Natarajan, Kristian Kersting |
| 2017 | Policy Reuse in Deep Reinforcement Learning. Ruben Glatt, Anna Helena Reali Costa |
| 2017 | Policy Search with High-Dimensional Context Variables. Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama |
| 2017 | Polynomial Optimization Methods for Matrix Factorization. Po-Wei Wang, Chun-Liang Li, J. Zico Kolter |
| 2017 | Polynomially Bounded Logic Programs with Function Symbols: A New Decidable. Vernon Asuncion, Yan Zhang, Heng Zhang |
| 2017 | Portfolio Selection via Subset Resampling. Weiwei Shen, Jun Wang |
| 2017 | Practical TBox Abduction Based on Justification Patterns. Jianfeng Du, Hai Wan, Huaguan Ma |
| 2017 | Predicting Demographics of High-Resolution Geographies with Geotagged Tweets. Omar Montasser, Daniel Kifer |
| 2017 | Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno |
| 2017 | Predicting Latent Narrative Mood Using Audio and Physiologic Data. Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi |
| 2017 | Predicting Mortality of Intensive Care Patients via Learning about Hazard. Dae Hyun Lee, Eric Horvitz |
| 2017 | Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis |
| 2017 | Predicting User Roles from Computer Logs Using Recurrent Neural Networks. Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson |
| 2017 | Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing. Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill |
| 2017 | Preference Elicitation For Participatory Budgeting. Gerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah |
| 2017 | Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings. Atena M. Tabakhi |
| 2017 | Preferences Single-Peaked on a Circle. Dominik Peters, Martin Lackner |
| 2017 | Preferential Structures for Comparative Probabilistic Reasoning. Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III |
| 2017 | Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems. Saku Sugawara, Hikaru Yokono, Akiko Aizawa |
| 2017 | Privacy-Preserving Human Activity Recognition from Extreme Low Resolution. Michael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang |
| 2017 | Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng |
| 2017 | Probably Approximately Efficient Combinatorial Auctions via Machine Learning. Gianluca Brero, Benjamin Lubin, Sven Seuken |
| 2017 | Problem Difficulty and the Phase Transition in Heuristic Search. Eldan Cohen, J. Christopher Beck |
| 2017 | Problem Formulation for Accommodation Support in Plan-Based Interactive Narratives. Adam Amos-Binks |
| 2017 | Problems in Large-Scale Image Classification. Yuchen Guo |
| 2017 | Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. Satinder Singh, Shaul Markovitch |
| 2017 | Profit-Driven Team Grouping in Social Networks. Shaojie Tang |
| 2017 | Progress and Challenges in Research on Cognitive Architectures. Pat Langley |
| 2017 | Progressive Prediction of Student Performance in College Programs. Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar |
| 2017 | ProjE: Embedding Projection for Knowledge Graph Completion. Baoxu Shi, Tim Weninger |
| 2017 | Project Scheduling in Complex Business Environments. Wen Song |
| 2017 | Proper Proxy Scoring Rules. Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause |
| 2017 | Proportional Justified Representation. Luis Sánchez Fernández, Edith Elkind, Martin Lackner, Norberto Fernández García, Jesús Arias-Fisteus, Pablo Basanta-Val, Piotr Skowron |
| 2017 | Psychological Forest: Predicting Human Behavior. Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz |
| 2017 | Psychologically Based Virtual-Suspect for Interrogative Interview Training. Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus |
| 2017 | Quantifying and Detecting Collective Motion by Manifold Learning. Qi Wang, Mulin Chen, Xuelong Li |
| 2017 | Query Answering in DL-Lite with Datatypes: A Non-Uniform Approach. André Hernich, Julio Lemos, Frank Wolter |
| 2017 | Query Complexity of Tournament Solutions. Palash Dey |
| 2017 | Query-Efficient Imitation Learning for End-to-End Simulated Driving. Jiakai Zhang, Kyunghyun Cho |
| 2017 | Querying Partially Labelled Data to Improve a K-nn Classifier. Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson |
| 2017 | 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 |
| 2017 | RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem. Saeedeh Shekarpour, Edgard Marx, Sören Auer, Amit P. Sheth |
| 2017 | Radon - Rapid Discovery of Topological Relations. Mohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros, Axel-Cyrille Ngonga Ngomo |
| 2017 | Random Features for Shift-Invariant Kernels with Moment Matching. Weiwei Shen, Zhihui Yang, Jun Wang |
| 2017 | Random-Radius Ball Method for Estimating Closeness Centrality. Wataru Inariba, Takuya Akiba, Yuichi Yoshida |
| 2017 | Randomized Mechanisms for Selling Reserved Instances in Cloud Computing. Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu |
| 2017 | Rank Ordering Constraints Elimination with Application for Kernel Learning. Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu |
| 2017 | Reactive Dialectic Search Portfolios for MaxSAT. Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney |
| 2017 | Reactive Versus Anticipative Decision Making in a Novel Gift-Giving Game. Elias Fernández Domingos, Juan-Carlos Burguillo, Tom Lenaerts |
| 2017 | Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda |
| 2017 | Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning. Negar Ghourchian, Michel Allegue-Martínez, Doina Precup |
| 2017 | Reasoning about Cognitive Trust in Stochastic Multiagent Systems. Xiaowei Huang, Marta Zofia Kwiatkowska |
| 2017 | Recognising Multidimensional Euclidean Preferences. Dominik Peters |
| 2017 | Recovering Concept Prerequisite Relations from University Course Dependencies. Chen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Lee Giles |
| 2017 | Recovering True Classifier Performance in Positive-Unlabeled Learning. Shantanu Jain, Martha White, Predrag Radivojac |
| 2017 | Recurrent Attentional Topic Model. Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang |
| 2017 | Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction. Ying Ding, Jianfei Yu, Jing Jiang |
| 2017 | Redesigning Stochastic Environments for Maximized Utility. Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein |
| 2017 | Reference Based LSTM for Image Captioning. Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han |
| 2017 | Regret Ratio Minimization in Multi-Objective Submodular Function Maximization. Tasuku Soma, Yuichi Yoshida |
| 2017 | Regularization for Unsupervised Deep Neural Nets. Baiyang Wang, Diego Klabjan |
| 2017 | Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data. Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal |
| 2017 | Regularized Diffusion Process for Visual Retrieval. Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki |
| 2017 | Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. Hao Wang, Xingjian Shi, Dit-Yan Yeung |
| 2017 | Representations for Continuous Learning. David Isele |
| 2017 | Representations of Context in Recognizing the Figurative and Literal Usages of Idioms. Changsheng Liu, Rebecca Hwa |
| 2017 | Resource Constrained Structured Prediction. Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama |
| 2017 | Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces. Albert Xin Jiang, Hau Chan, Kevin Leyton-Brown |
| 2017 | Rethinking the Link Prediction Problem in Signed Social Networks. Xiaoming Li, Hui Fang, Jie Zhang |
| 2017 | Revenue Maximization for Finitely Repeated Ad Auctions. Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu |
| 2017 | Riemannian Submanifold Tracking on Low-Rank Algebraic Variety. Qian Li, Zhichao Wang |
| 2017 | Rigging Nearly Acyclic Tournaments Is Fixed-Parameter Tractable. M. S. Ramanujan, Stefan Szeider |
| 2017 | Risk-Aware Planning: Methods and Case Study for Safer Driving Routes. John Krumm, Eric Horvitz |
| 2017 | Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme |
| 2017 | Robust Execution of Probabilistic Temporal Plans. Kyle Lund, Sam Dietrich, Scott Chow, James C. Boerkoel |
| 2017 | Robust Loss Functions under Label Noise for Deep Neural Networks. Aritra Ghosh, Himanshu Kumar, P. S. Sastry |
| 2017 | Robust MIL-Based Feature Template Learning for Object Tracking. Xiangyuan Lan, Pong C. Yuen, Rama Chellappa |
| 2017 | Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction. Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You |
| 2017 | Robust Optimization for Tree-Structured Stochastic Network Design. Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein |
| 2017 | Robust Partially-Compressed Least-Squares. Stephen Becker, Ban Kawas, Marek Petrik |
| 2017 | Robust Stable Marriage. Begum Genc, Mohamed Siala, Barry O'Sullivan, Gilles Simonin |
| 2017 | Robust Visual Tracking via Local-Global Correlation Filter. Heng Fan, Jinhai Xiang |
| 2017 | Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez |
| 2017 | S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions. Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen |
| 2017 | SAT Competition 2016: Recent Developments. Tomás Balyo, Marijn J. H. Heule, Matti Järvisalo |
| 2017 | SAT Encodings for Distance-Based Belief Merging Operators. Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis |
| 2017 | SCOPE: Scalable Composite Optimization for Learning on Spark. Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li |
| 2017 | SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL. Akshay Narayan, Zhuoru Li, Tze-Yun Leong |
| 2017 | SReN: Shape Regression Network for Comic Storyboard Extraction. Zheqi He, Yafeng Zhou, Yongtao Wang, Zhi Tang |
| 2017 | SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu |
| 2017 | Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing |
| 2017 | Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems. Brian Hrolenok, Byron Boots, Tucker Hybinette Balch |
| 2017 | Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation. Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark James Carman |
| 2017 | Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling. Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi |
| 2017 | Scalable Feature Selection via Distributed Diversity Maximization. Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam |
| 2017 | Scalable Graph Embedding for Asymmetric Proximity. Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao |
| 2017 | Scalable Multitask Policy Gradient Reinforcement Learning. Salam El Bsat, Haitham Bou-Ammar, Matthew E. Taylor |
| 2017 | Scalable Nonparametric Tensor Analysis. Shandian Zhe |
| 2017 | 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 |
| 2017 | Scanpath Complexity: Modeling Reading Effort Using Gaze Information. Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya |
| 2017 | Schematic Invariants by Reduction to Ground Invariants. Jussi Rintanen |
| 2017 | Security Games on a Plane. Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch |
| 2017 | Selecting Sequences of Items via Submodular Maximization. Sebastian Tschiatschek, Adish Singla, Andreas Krause |
| 2017 | Self-Correcting Models for Model-Based Reinforcement Learning. Erik Talvitie |
| 2017 | Self-Paced Learning: An Implicit Regularization Perspective. Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu |
| 2017 | Self-Paced Multi-Task Learning. Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha |
| 2017 | Selfish Knapsack. Itai Feigenbaum, Matthew P. Johnson |
| 2017 | Semantic Connection Based Topic Evolution. Jiamiao Wang |
| 2017 | Semantic Inference of Bird Songs Using Dynamic Bayesian Networks. Keisuke Daimon, Richard W. Hedley, Charles E. Taylor |
| 2017 | Semantic Interpretation of Social Network Communities. Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das |
| 2017 | Semantic Parsing with Neural Hybrid Trees. Raymond Hendy Susanto, Wei Lu |
| 2017 | Semantic Proto-Role Labeling. Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew Gormley |
| 2017 | 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 |
| 2017 | Semantic Representation Using Explicit Concept Space Models. Walid Ahmed Fouad Shalaby, Wlodek Zadrozny |
| 2017 | Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv |
| 2017 | Semi-Supervised Classifications via Elastic and Robust Embedding. Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang |
| 2017 | Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification. Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen |
| 2017 | SenseRun: Real-Time Running Routes Recommendation towards Providing Pleasant Running Experiences. Jiayu Long, Jia Jia, Han Xu |
| 2017 | SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu |
| 2017 | Sequential Classification-Based Optimization for Direct Policy Search. Yi-Qi Hu, Hong Qian, Yang Yu |
| 2017 | Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. Yang Liu, Yiling Chen |
| 2017 | Sherlock: Scalable Fact Learning in Images. Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal |
| 2017 | Should Algorithms for Random SAT and Max-SAT Be Different? Sixue Liu, Gerard de Melo |
| 2017 | Simultaneous Clustering and Ensemble. Zhiqiang Tao, Hongfu Liu, Yun Fu |
| 2017 | Small Is Beautiful: Computing Minimal Equivalent EL Concepts. Nadeschda Nikitina, Patrick Koopmann |
| 2017 | Small Representations of Big Kidney Exchange Graphs. John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm |
| 2017 | SnapNETS: Automatic Segmentation of Network Sequences with Node Labels. Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash |
| 2017 | Social Choice Under Metric Preferences: Scoring Rules and STV. Piotr Krzysztof Skowron, Edith Elkind |
| 2017 | Soft Video Parsing by Label Distribution Learning. Xin Geng, Miaogen Ling |
| 2017 | Soft and Cost MDD Propagators. Guillaume Perez, Jean-Charles Régin |
| 2017 | Solving Advanced Argumentation Problems with Answer-Set Programming. Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran |
| 2017 | Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel |
| 2017 | Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions. Hong Qian, Yang Yu |
| 2017 | Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. Haiming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang |
| 2017 | Solving Seven Open Problems of Offline and Online Control in Borda Elections. Marc Neveling, Jörg Rothe |
| 2017 | Source Information Disclosure in Ontology-Based Data Integration. Michael Benedikt, Bernardo Cuenca Grau, Egor V. Kostylev |
| 2017 | Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen |
| 2017 | Sparse Deep Transfer Learning for Convolutional Neural Network. Jiaming Liu, Yali Wang, Yu Qiao |
| 2017 | Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. Jun Li, Yu Kong, Yun Fu |
| 2017 | Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben |
| 2017 | Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise. Rebecca A. Hutchinson, Liqiang He, Sarah C. Emerson |
| 2017 | Spectral Clustering with Brainstorming Process for Multi-View Data. Jeong Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim |
| 2017 | State Projection via AI Planning. Shirin Sohrabi, Anton V. Riabov, Octavian Udrea |
| 2017 | Strategic Sequences of Arguments for Persuasion Using Decision Trees. Emmanuel Hadoux, Anthony Hunter |
| 2017 | Strategic Signaling and Free Information Disclosure in Auctions. Shani Alkoby, David Sarne, Igal Milchtaich |
| 2017 | Strategic Social Network Analysis. Tomasz P. Michalak, Talal Rahwan, Michael J. Wooldridge |
| 2017 | Streaming Classification with Emerging New Class by Class Matrix Sketching. Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou |
| 2017 | StructInf: Mining Structural Influence from Social Streams. Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun |
| 2017 | Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings. Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu |
| 2017 | Structure Regularized Unsupervised Discriminant Feature Analysis. Mingyu Fan, Xiaojun Chang, Dacheng Tao |
| 2017 | Structured Inference Networks for Nonlinear State Space Models. Rahul G. Krishnan, Uri Shalit, David A. Sontag |
| 2017 | Structured Prediction in Time Series Data. Jia Li |
| 2017 | SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. Ramesh Nallapati, Feifei Zhai, Bowen Zhou |
| 2017 | Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem. Maximilian Katzmann, Christian Komusiewicz |
| 2017 | TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang |
| 2017 | Taming the Matthew Effect in Online Markets with Social Influence. Franco Berbeglia, Pascal Van Hentenryck |
| 2017 | Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms. Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti |
| 2017 | Teams in Online Scheduling Polls: Game-Theoretic Aspects. Robert Bredereck, Jiehua Chen, Rolf Niedermeier, Svetlana Obraztsova, Nimrod Talmon |
| 2017 | Text-Guided Attention Model for Image Captioning. Jonghwan Mun, Minsu Cho, Bohyung Han |
| 2017 | TextBoxes: A Fast Text Detector with a Single Deep Neural Network. Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu |
| 2017 | The AI Rebellion: Changing the Narrative. David W. Aha, Alexandra Coman |
| 2017 | The Benefit in Free Information Disclosure When Selling Information to People. Shani Alkoby, David Sarne |
| 2017 | The Bernstein Mechanism: Function Release under Differential Privacy. Francesco Aldà, Benjamin I. P. Rubinstein |
| 2017 | The Complexity of Stable Matchings under Substitutable Preferences. Yuan Deng, Debmalya Panigrahi, Bo Waggoner |
| 2017 | The Complexity of Succinct Elections. Zack Fitzsimmons, Edith Hemaspaandra |
| 2017 | The Computational Complexity of Weighted Greedy Matching. Argyrios Deligkas, George B. Mertzios, Paul G. Spirakis |
| 2017 | The Dollar Auction with Spiteful Players. Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings |
| 2017 | The Efficiency of the HyperPlay Technique Over Random Sampling. Michael John Schofield, Michael Thielscher |
| 2017 | The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares. Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann |
| 2017 | The Linearization of Belief Propagation on Pairwise Markov Random Fields. Wolfgang Gatterbauer |
| 2017 | The Multivariate Generalised von Mises Distribution: Inference and Applications. Alexandre K. W. Navarro, Jes Frellsen, Richard E. Turner |
| 2017 | The Opacity of Backbones. Lane A. Hemaspaandra, David E. Narváez |
| 2017 | The Option-Critic Architecture. Pierre-Luc Bacon, Jean Harb, Doina Precup |
| 2017 | The Positronic Economist: A Computational System for Analyzing Economic Mechanisms. David R. M. Thompson, Neil Newman, Kevin Leyton-Brown |
| 2017 | The Simultaneous Maze Solving Problem. Stefan Funke, André Nusser, Sabine Storandt |
| 2017 | The State of the AIIDE Conference in 2017. Nathan R. Sturtevant, Brian Magerko |
| 2017 | The Symbolic Interior Point Method. Martin Mladenov, Vaishak Belle, Kristian Kersting |
| 2017 | The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs. Nausheen Fatma, Manoj Kumar Chinnakotla, Manish Shrivastava |
| 2017 | Thompson Sampling for Stochastic Bandits with Graph Feedback. Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi |
| 2017 | Three New Algorithms to Solve N-POMDPs. Yann Dujardin, Tom Dietterich, Iadine Chades |
| 2017 | Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo |
| 2017 | Top-k Hierarchical Classification. Sechan Oh |
| 2017 | Topic Aware Neural Response Generation. Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma |
| 2017 | Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach. Yihui Ma, Jia Jia, Suping Zhou, Jingtian Fu, Yejun Liu, Zijian Tong |
| 2017 | Towards Continuous Scientific Data Analysis and Hypothesis Evolution. Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick |
| 2017 | Towards User Personality Profiling from Multiple Social Networks. Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua |
| 2017 | Towards a Brain Inspired Model of Self-Awareness for Sociable Agents. Budhitama Subagdja, Ah-Hwee Tan |
| 2017 | Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure. Luis E. Ortiz, Mohammad Tanvir Irfan |
| 2017 | Transfer Learning for Deep Learning on Graph-Structured Data. Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon |
| 2017 | Transfer Reinforcement Learning with Shared Dynamics. Romain Laroche, Merwan Barlier |
| 2017 | Transfer of Knowledge through Collective Learning. Mohammad Rostami |
| 2017 | Transitive Hashing Network for Heterogeneous Multimedia Retrieval. Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang |
| 2017 | Translation Prediction with Source Dependency-Based Context Representation. Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu |
| 2017 | Treatment Effect Estimation with Data-Driven Variable Decomposition. Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang |
| 2017 | Trust-Sensitive Evolution of DL-Lite Knowledge Bases. Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks |
| 2017 | Tsallis Regularized Optimal Transport and Ecological Inference. Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen |
| 2017 | Tunable Sensitivity to Large Errors in Neural Network Training. Gil Keren, Sivan Sabato, Björn W. Schuller |
| 2017 | TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning. Aleksandr Farseev, Tat-Seng Chua |
| 2017 | Twin Learning for Similarity and Clustering: A Unified Kernel Approach. Zhao Kang, Chong Peng, Qiang Cheng |
| 2017 | Two-Dimensional PCA with F-Norm Minimization. Qianqian Wang, Quanxue Gao |
| 2017 | 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 |
| 2017 | Unbiased Multivariate Correlation Analysis. Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia |
| 2017 | Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture. Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo |
| 2017 | Unimodal Thompson Sampling for Graph-Structured Arms. Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti |
| 2017 | Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving. Subhro Roy, Dan Roth |
| 2017 | Universum Prescription: Regularization Using Unlabeled Data. Xiang Zhang, Yann LeCun |
| 2017 | Unsupervised Deep Learning for Optical Flow Estimation. Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha |
| 2017 | Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption. Tameem Adel, Han Zhao, Alexander Wong |
| 2017 | Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps. Vitor Campanholo Guizilini, Fabio Tozeto Ramos |
| 2017 | Unsupervised Large Graph Embedding. Feiping Nie, Wei Zhu, Xuelong Li |
| 2017 | Unsupervised Learning for Lexicon-Based Classification. Jacob Eisenstein |
| 2017 | Unsupervised Learning of Evolving Relationships Between Literary Characters. Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III |
| 2017 | Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification. Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li |
| 2017 | Unsupervised Learning with Truncated Gaussian Graphical Models. Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin |
| 2017 | Unsupervised Sentiment Analysis with Signed Social Networks. Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu |
| 2017 | User Modeling Using LSTM Networks. Konrad Zolna, Bartlomiej Romanski |
| 2017 | Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset. Samarth Tripathi, Shrinivas Acharya, Ranti Dev Sharma, Sudhanshu Mittal, Samit Bhattacharya |
| 2017 | Using Discourse Signals for Robust Instructor Intervention Prediction. Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman |
| 2017 | V for Verification: Intelligent Algorithm of Checking Reliability of Smart Systems. Anna Lukina |
| 2017 | VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni |
| 2017 | Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal Logic. Alessandro Cimatti, Andrea Micheli, Marco Roveri |
| 2017 | Value Compression of Pattern Databases. Nathan R. Sturtevant, Ariel Felner, Malte Helmert |
| 2017 | Variable Kernel Density Estimation in High-Dimensional Feature Spaces. Christiaan Maarten van der Walt, Etienne Barnard |
| 2017 | Variational Autoencoder for Semi-Supervised Text Classification. Weidi Xu, Haoze Sun, Chao Deng, Ying Tan |
| 2017 | Video Captioning with Listwise Supervision. Yuan Liu, Xue Li, Zhongchao Shi |
| 2017 | Video Recovery via Learning Variation and Consistency of Images. Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang |
| 2017 | Vision-Language Fusion for Object Recognition. Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime G. Carbonell, Jean Oh |
| 2017 | Visual Memory QA: Your Personal Photo and Video Search Agent. Lu Jiang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann |
| 2017 | Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models. Siyi Li, Dit-Yan Yeung |
| 2017 | Visual Sentiment Analysis by Attending on Local Image Regions. Quanzeng You, Hailin Jin, Jiebo Luo |
| 2017 | 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 |
| 2017 | Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity. Stephen Gross, Elliot Anshelevich, Lirong Xia |
| 2017 | Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification. Xiangteng He, Yuxin Peng |
| 2017 | Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. Suha Kwak, Seunghoon Hong, Bohyung Han |
| 2017 | Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment. Zechao Li, Jinhui Tang |
| 2017 | Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual Similarity. Xiaoshuai Sun, Jiewei Cao, Chao Li, Lei Zhu, Heng Tao Shen |
| 2017 | Webly-Supervised Learning of Multimodal Video Detectors. Junwei Liang, Lu Jiang, Alexander G. Hauptmann |
| 2017 | Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected. Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus |
| 2017 | What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain. Edith Elkind, Piotr Faliszewski, Jean-François Laslier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon |
| 2017 | What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao |
| 2017 | What's Hot at CPAIOR (Extended Abstract). Claude-Guy Quimper |
| 2017 | What's Hot in Case-Based Reasoning. Ashok K. Goel, Belén Díaz-Agudo |
| 2017 | What's Hot in Constraint Programming. Laurent D. Michel, Michel Rueher |
| 2017 | What's Hot in Evolutionary Computation. Tobias Friedrich, Frank Neumann |
| 2017 | When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? Smitha Milli, Falk Lieder, Thomas L. Griffiths |
| 2017 | When and Why Are Deep Networks Better Than Shallow Ones? Hrushikesh N. Mhaskar, Qianli Liao, Tomaso A. Poggio |
| 2017 | When to Reset Your Keys: Optimal Timing of Security Updates via Learning. Zizhan Zheng, Ness B. Shroff, Prasant Mohapatra |
| 2017 | Where to Add Actions in Human-in-the-Loop Reinforcement Learning. Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovic |
| 2017 | Why Teaching Ethics to AI Practitioners Is Important. Judy Goldsmith, Emanuelle Burton |
| 2017 | Wikitop: Using Wikipedia Category Network to Generate Topic Trees. Saravana Kumar, Prasath Rengarajan, Arockia Xavier Annie |
| 2017 | Winner Determination in Huge Elections with MapReduce. Theresa Csar, Martin Lackner, Reinhard Pichler, Emanuel Sallinger |
| 2017 | Word Embedding Based Correlation Model for Question/Answer Matching. Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong |
| 2017 | Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels. Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao |