IJCAI 2019
965 papers
A Core Method for the Weak Completion Semantics with Skeptical Abduction (Extended Abstract)
Emmanuelle-Anna Dietz Saldanha, Steffen Hölldobler, Carroline Dewi Puspa Kencana Ramli, Luis Palacios Medinacelli A Deep Generative Model for Code Switched Text
Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti A Degeneracy Framework for Scalable Graph Autoencoders
Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis A Dual Approach to Verify and Train Deep Networks
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui A Latent Variable Model for Learning Distributional Relation Vectors
José Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert A Mobile Application for Sound Event Detection
Yingwei Fu, Kele Xu, Haibo Mi, Huaimin Wang, Dezhi Wang, Boqing Zhu A Parameterized Perspective on Protecting Elections
Palash Dey, Neeldhara Misra, Swaprava Nath, Garima Shakya A Part Power Set Model for Scale-Free Person Retrieval
Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang A Practical Semi-Parametric Contextual Bandit
Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin A Principled Approach for Learning Task Similarity in Multitask Learning
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné A Quantitative Analysis Platform for PD-L1 Immunohistochemistry Based on Point-Level Supervision Model
Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun A Regularized Opponent Model with Maximum Entropy Objective
Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang A Review-Driven Neural Model for Sequential Recommendation
Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel A Value-Based Trust Assessment Model for Multi-Agent Systems
Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam Achieving a Fairer Future by Changing the past
Jiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng Acquiring Integer Programs from Data
Mohit Kumar, Stefano Teso, Luc De Raedt Action Space Learning for Heterogeneous User Behavior Prediction
Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu ActiveHNE: Active Heterogeneous Network Embedding
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning
Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien Addressing Age-Related Bias in Sentiment Analysis
Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle Advantage Amplification in Slowly Evolving Latent-State Environments
Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier Adversarial Examples for Graph Data: Deep Insights into Attack and Defense
Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu Adversarial Graph Embedding for Ensemble Clustering
Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu Adversarial Incomplete Multi-View Clustering
Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling Affine Equivariant Autoencoder
Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach
Swarnadeep Saha, Malolan Chetlur, Tejas Indulal Dhamecha, K. Gayathri Wijayarathna, Red Mendoza, Paul Gagnon, Nabil Zary, Shantanu Godbole Almost Envy-Freeness in Group Resource Allocation
Maria Kyropoulou, Warut Suksompong, Alexandros A. Voudouris AmazonQA: A Review-Based Question Answering Task
Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman An Experimental View on Committees Providing Justified Representation
Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Rolf Niedermeier An Online Intelligent Visual Interaction System
Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao An Ordinal Banzhaf Index for Social Ranking
Hossein Khani, Stefano Moretti, Meltem Öztürk Anytime Bottom-up Rule Learning for Knowledge Graph Completion
Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt ARMIN: Towards a More Efficient and Light-Weight Recurrent Memory Network
Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li Aspect-Based Sentiment Classification with Attentive Neural Turing Machines
Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang Assumed Density Filtering Q-Learning
Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee Attribute Aware Pooling for Pedestrian Attribute Recognition
Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang Attributed Subspace Clustering
Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi Augmenting Transfer Learning with Semantic Reasoning
Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen Automated Machine Learning with Monte-Carlo Tree Search
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag Automatic Grassland Degradation Estimation Using Deep Learning
Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng Balanced Ranking with Diversity Constraints
Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach
Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang Branch-and-Cut-and-Price for Multi-Agent Pathfinding
Edward Lam, Pierre Le Bodic, Daniel Damir Harabor, Peter J. Stuckey Building Personalized Simulator for Interactive Search
Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong Causal Discovery with Cascade Nonlinear Additive Noise Model
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao CNN-Based Chinese NER with Lexicon Rethinking
Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang Co-Attentive Multi-Task Learning for Explainable Recommendation
Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen Color-Sensitive Person Re-Identification
Guan'an Wang, Yang Yang, Jian Cheng, Jinqiao Wang, Zeng-Guang Hou Commit Message Generation for Source Code Changes
Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu Comparing Options with Argument Schemes Powered by Cancellation
Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane Comprehensive Semi-Supervised Multi-Modal Learning
Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang Computational Aspects of Equilibria in Discrete Preference Games
Phani Raj Lolakapuri, Umang Bhaskar, Ramasuri Narayanam, Gyana R. Parija, Pankaj S. Dayama Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls Controllable Neural Story Plot Generation via Reward Shaping
Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl Converging on Common Knowledge
Dominik Klein, Rasmus Kræmmer Rendsvig Correct-and-Memorize: Learning to Translate from Interactive Revisions
Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks
Steven Carr, Nils Jansen, Ralf Wimmer, Alexandru Constantin Serban, Bernd Becker, Ufuk Topcu Crafting Efficient Neural Graph of Large Entropy
Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu Curriculum Learning for Cumulative Return Maximization
Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti DANE: Domain Adaptive Network Embedding
Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin Data Poisoning Attack Against Knowledge Graph Embedding
Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren DatalogMTL: Computational Complexity and Expressive Power
Przemyslaw Andrzej Walega, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev Daytime Sleepiness Level Prediction Using Respiratory Information
Kazuhiko Shinoda, Masahiko Yoshii, Hayato Yamaguchi, Hirotaka Kaji DBDNet: Learning Bi-Directional Dynamics for Early Action Prediction
Guoliang Pang, Xionghui Wang, Jianfang Hu, Qing Zhang, Wei-Shi Zheng Decoding EEG by Visual-Guided Deep Neural Networks
Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen Deep Active Learning for Anchor User Prediction
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo Deep Active Learning with Adaptive Acquisition
Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir Deep Adversarial Multi-View Clustering Network
Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang Deep Adversarial Social Recommendation
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm
Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang Deep Recurrent Quantization for Generating Sequential Binary Codes
Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen Deep Reinforcement Learning for Ride-Sharing Dispatching and Repositioning
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li Deep Session Interest Network for Click-Through Rate Prediction
Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang Deep Spectral Kernel Learning
Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris Delayed Impact of Fair Machine Learning
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt Deliberation Learning for Image-to-Image Translation
Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen DeltaDou: Expert-Level Doudizhu AI Through Self-Play
Qiqi Jiang, Kuangzheng Li, Boyao Du, Hao Chen, Hai Fang DiffChaser: Detecting Disagreements for Deep Neural Networks
Xiaofei Xie, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, Xiaohong Li Diffusion and Auction on Graphs
Bin Li, Dong Hao, Dengji Zhao, Makoto Yokoo Discriminative and Correlative Partial Multi-Label Learning
Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen Do You Need Infinite Time?
Alessandro Artale, Andrea Mazzullo, Ana Ozaki Dual-Path in Dual-Path Network for Single Image Dehazing
Aiping Yang, Haixin Wang, Zhong Ji, Yanwei Pang, Ling Shao Dynamic Hypergraph Neural Networks
Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao Dynamically Visual Disambiguation of Keyword-Based Image Search
Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis
Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang Efficient Non-Parametric Bayesian Hawkes Processes
Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie Embodied Conversational AI Agents in a Multi-Modal Multi-Agent Competitive Dialogue
Rahul R. Divekar, Xiangyang Mou, Lisha Chen, Maíra Gatti de Bayser, Melina Alberio Guerra, Hui Su End-to-End Multi-Perspective Matching for Entity Resolution
Cheng Fu, Xianpei Han, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong Enhancing Stock Movement Prediction with Adversarial Training
Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua Enriching Ontology-Based Data Access with Provenance
Diego Calvanese, Davide Lanti, Ana Ozaki, Rafael Peñaloza, Guohui Xiao Ensemble-Based Ultrahigh-Dimensional Variable Screening
Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian Entangled Kernels
Riikka Huusari, Hachem Kadri Entropy-Penalized Semidefinite Programming
Mikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takác Equilibrium Characterization for Data Acquisition Games
Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman Equitable Allocations of Indivisible Goods
Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia ERICA and WikiTalk
Divesh Lala, Graham Wilcock, Kristiina Jokinen, Tatsuya Kawahara Exchangeability and Kernel Invariance in Trained MLPs
Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher Experience Replay Optimization
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett Explanations for Query Answers Under Existential Rules
Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius Explicitly Coordinated Policy Iteration
Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao Exploiting Social Influence to Control Elections Based on Scoring Rules
Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani Exploring the Task Cooperation in Multi-Goal Visual Navigation
Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha Extensible Cross-Modal Hashing
Tian-Yi Chen, Lan Zhang, Shicong Zhang, Zilong Li, Baichuan Huang Face Photo-Sketch Synthesis via Knowledge Transfer
Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li Fair Allocation of Indivisible Goods and Chores
Haris Aziz, Ioannis Caragiannis, Ayumi Igarashi, Toby Walsh Fair and Explainable Dynamic Engagement of Crowd Workers
Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng Fair Online Allocation of Perishable Goods and Its Application to Electric Vehicle Charging
Enrico H. Gerding, Alvaro Perez-Diaz, Haris Aziz, Serge Gaspers, Antonia Marcu, Nicholas Mattei, Toby Walsh Fairwalk: Towards Fair Graph Embedding
Tahleen A. Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang Feature-Level Deeper Self-Attention Network for Sequential Recommendation
Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou Fine-Grained Event Categorization with Heterogeneous Graph Convolutional Networks
Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu GAN-EM: GAN Based EM Learning Framework
Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu GANAK: A Scalable Probabilistic Exact Model Counter
Shubham Sharma, Subhajit Roy, Mate Soos, Kuldeep S. Meel Generalized Potential Heuristics for Classical Planning
Guillem Francès, Augusto B. Corrêa, Cedric Geissmann, Florian Pommerening Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework
Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji Generative Image Inpainting with Submanifold Alignment
Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao Generative Visual Dialogue System via Weighted Likelihood Estimation
Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo Graph and Autoencoder Based Feature Extraction for Zero-Shot Learning
Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao Graph Contextualized Self-Attention Network for Session-Based Recommendation
Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou Graph Space Embedding
João P. B. Pereira, Albert K. Groen, Erik S. G. Stroes, Evgeni Levin Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang Graph-Based Neural Sentence Ordering
Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou, Jiebo Luo Graphical One-Sided Markets
Sagar Massand, Sunil Simon Group-Fairness in Influence Maximization
Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick GSN: A Graph-Structured Network for Multi-Party Dialogues
Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan Guarantees for Sound Abstractions for Generalized Planning
Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín, Daniel Borrajo Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian Heavy-Ball Algorithms Always Escape Saddle Points
Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou Heterogeneous Graph Matching Networks for Unknown Malware Detection
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu Hierarchical Representation Learning for Bipartite Graphs
Chong Li, Kunyang Jia, Dan Shen, Chuanjin Richard Shi, Hongxia Yang High Performance Gesture Recognition via Effective and Efficient Temporal Modeling
Yang Yi, Feng Ni, Yuexin Ma, Xinge Zhu, Yuankai Qi, Riming Qiu, Shijie Zhao, Feng Li, Yongtao Wang Hill Climbing on Value Estimates for Search-Control in Dyna
Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White Hintikka's World: Scalable Higher-Order Knowledge
Tristan Charrier, Sébastien Gamblin, Alexandre Niveau, François Schwarzentruber HMLasso: Lasso with High Missing Rate
Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa How to Tame Your Anticipatory Algorithm
Allegra De Filippo, Michele Lombardi, Michela Milano Hypergraph Induced Convolutional Manifold Networks
Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji Improving Multilingual Sentence Embedding Using Bi-Directional Dual Encoder with Additive Margin SoftMax
Yinfei Yang, Gustavo Hernández Ábrego, Steve Yuan, Mandy Guo, Qinlan Shen, Daniel Cer, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil Indirect Trust Is Simple to Establish
Elham Parhizkar, Mohammad Hossein Nikravan, Sandra Zilles Inferring Substitutable Products with Deep Network Embedding
Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen Intelligent Decision Support for Improving Power Management
Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao Inter-Node Hellinger Distance Based Decision Tree
Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib Interactive Teaching Algorithms for Inverse Reinforcement Learning
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz Interpreting and Evaluating Neural Network Robustness
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen InterSpot: Interactive Spammer Detection in Social Media
Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu Iterative Budgeted Exponential Search
Malte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant K-Core Maximization: An Edge Addition Approach
Zhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang, Chen Chen Label Distribution Learning with Label-Specific Features
Tingting Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li Landmark Selection for Zero-Shot Learning
Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai Large Scale Evolving Graphs with Burst Detection
Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang Latent Distribution Preserving Deep Subspace Clustering
Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock Learning Disentangled Semantic Representation for Domain Adaptation
Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao Learning Generative Adversarial Networks from Multiple Data Sources
Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung Learning Semantic Annotations for Tabular Data
Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton Learning Sound Events from Webly Labeled Data
Anurag Kumar, Ankit Shah, Alexander G. Hauptmann, Bhiksha Raj Learning to Interpret Satellite Images Using Wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon Learning Towards Abstractive Timeline Summarization
Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation
Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang Localizing Unseen Activities in Video via Image Query
Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs
Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou Low Shot Box Correction for Weakly Supervised Object Detection
Tianxiang Pan, Bin Wang, Guiguang Ding, Jungong Han, Jun-Hai Yong LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning
Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith Marginal Posterior Sampling for Slate Bandits
Maria Dimakopoulou, Nikos Vlassis, Tony Jebara Masked Graph Convolutional Network
Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo MAT-Net: Medial Axis Transform Network for 3D Object Recognition
Jianwei Hu, Bin Wang, Lihui Qian, Yiling Pan, Xiaohu Guo, Lingjie Liu, Wenping Wang Measuring the Likelihood of Numerical Constraints
Marco Console, Matthias F. J. Hofer, Leonid Libkin Medical Concept Embedding with Multiple Ontological Representations
Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon Medical Concept Representation Learning from Multi-Source Data
Tian Bai, Brian L. Egleston, Richard Bleicher, Slobodan Vucetic MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar Meta-Interpretive Learning Using HEX-Programs
Tobias Kaminski, Thomas Eiter, Katsumi Inoue Metric Learning on Healthcare Data with Incomplete Modalities
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang Mindful Active Learning
Zhila Esna Ashari, Hassan Ghasemzadeh MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov Minimizing Time-to-Rank: A Learning and Recommendation Approach
Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye MiSC: Mixed Strategies Crowdsourcing
Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong Model-Based Diagnosis with Multiple Observations
Alexey Ignatiev, António Morgado, Georg Weissenbacher, João Marques-Silva Model-Free Model Reconciliation
Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati Monte Carlo Tree Search for Policy Optimization
Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer Motion Invariance in Visual Environments
Alessandro Betti, Marco Gori, Stefano Melacci Multi-Agent Attentional Activity Recognition
Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu Multi-Agent Path Finding on Ozobots
Roman Barták, Ivan Krasicenko, Jirí Svancara Multi-Agent Pathfinding with Continuous Time
Anton Andreychuk, Konstantin S. Yakovlev, Dor Atzmon, Roni Stern Multi-Agent Visualization for Explaining Federated Learning
Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang Multi-Objective Generalized Linear Bandits
Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang Multi-Prototype Networks for Unconstrained Set-Based Face Recognition
Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng Multi-View Active Learning for Video Recommendation
Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang Multi-View Clustering via Late Fusion Alignment Maximization
Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin Multi-View Knowledge Graph Embedding for Entity Alignment
Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu Multi-View Multi-Label Learning with View-Specific Information Extraction
Xuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang, Xiaobo Wang, Min-Ling Zhang Multi-View Multiple Clustering
Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang Multi-View Spectral Clustering Network
Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv Multigoal Committee Selection
Maciej Kocot, Anna Kolonko, Edith Elkind, Piotr Faliszewski, Nimrod Talmon Multiple Partitions Aligned Clustering
Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu Multiple Policy Value Monte Carlo Tree Search
Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu Network Formation Under Random Attack and Probabilistic Spread
Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning
Mengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang Neural News Recommendation with Attentive Multi-View Learning
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie Neural Program Induction for KBQA Without Gold Programs or Query Annotations
Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti Node Embedding over Temporal Graphs
Uriel Singer, Ido Guy, Kira Radinsky Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion
Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai Object Detection Based Deep Unsupervised Hashing
Rong-Cheng Tu, Xianling Mao, Bo-Si Feng, Shu-ying Yu Oblivious and Semi-Oblivious Boundedness for Existential Rules
Pierre Bourhis, Michel Leclère, Marie-Laure Mugnier, Sophie Tison, Federico Ulliana, Lily Gallois Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Ervin Teng, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange On Computational Tractability for Rational Verification
Julian Gutierrez, Muhammad Najib, Giuseppe Perelli, Michael J. Wooldridge On Principled Entropy Exploration in Policy Optimization
Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller On Strategyproof Conference Peer Review
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah On Succinct Encodings for the Tournament Fixing Problem
Sushmita Gupta, Saket Saurabh, Ramanujan Sridharan, Meirav Zehavi On the Effectiveness of Low Frequency Perturbations
Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker On the Efficiency and Equilibria of Rich Ads
MohammadAmin Ghiasi, MohammadTaghi Hajiaghayi, Sébastien Lahaie, Hadi Yami On the Estimation of Treatment Effect with Text Covariates
Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang On the Integration of CP-Nets in ASPRIN
Mario Alviano, Javier Romero, Torsten Schaub On the Problem of Assigning PhD Grants
Katarína Cechlárová, Laurent Gourvès, Julien Lesca Online Probabilistic Goal Recognition over Nominal Models
Ramon Fraga Pereira, Mor Vered, Felipe Meneguzzi, Miquel Ramírez OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models
Manuel Arias, Jorge Pérez-Martín, Manuel Luque, Francisco Javier Díez Optimally Efficient Bidirectional Search
Eshed Shaham, Ariel Felner, Nathan R. Sturtevant, Jeffrey S. Rosenschein Ornstein Auto-Encoders
Youngwon Choi, Joong-Ho Won Partitioning Techniques in LTLf Synthesis
Lucas Martinelli Tabajara, Moshe Y. Vardi Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan Path Planning with CPD Heuristics
Massimo Bono, Alfonso Emilio Gerevini, Daniel Damir Harabor, Peter J. Stuckey Persistence Bag-of-Words for Topological Data Analysis
Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko Personalized Multimedia Item and Key Frame Recommendation
Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang Perturbed-History Exploration in Stochastic Multi-Armed Bandits
Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier Pivotal Relationship Identification: The K-Truss Minimization Problem
Weijie Zhu, Mengqi Zhang, Chen Chen, Xiaoyang Wang, Fan Zhang, Xuemin Lin Planning with Expectation Models
Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri Playing Card-Based RTS Games with Deep Reinforcement Learning
Tianyu Liu, Zijie Zheng, Hongchang Li, Kaigui Bian, Lingyang Song Portioning Using Ordinal Preferences: Fairness and Efficiency
Stéphane Airiau, Haris Aziz, Ioannis Caragiannis, Justin Kruger, Jérôme Lang, Dominik Peters Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan Positive and Unlabeled Learning with Label Disambiguation
Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong Possibilistic Games with Incomplete Information
Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns Predicting Dominance in Multi-Person Videos
Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian Predicting the Visual Focus of Attention in Multi-Person Discussion Videos
Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam J. Metzger, Jay F. Nunamaker Jr., V. S. Subrahmanian Preferred Deals in General Environments
Yuan Deng, Sébastien Lahaie, Vahab S. Mirrokni Privacy-Aware Synthesizing for Crowdsourced Data
Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang Privacy-Preserving Stacking with Application to Cross-Organizational Diabetes Prediction
Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang Probabilistic Strategy Logic
Benjamin Aminof, Marta Kwiatkowska, Bastien Maubert, Aniello Murano, Sasha Rubin Procedural Generation of Initial States of Sokoban
Dâmaris S. Bento, André Grahl Pereira, Levi H. S. Lelis PRoFET: Predicting the Risk of Firms from Event Transcripts
Christoph Kilian Theil, Samuel Broscheit, Heiner Stuckenschmidt Profit-Driven Task Assignment in Spatial Crowdsourcing
Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng Progressive Transfer Learning for Person Re-Identification
Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua Protecting Elections by Recounting Ballots
Edith Elkind, Jiarui Gan, Svetlana Obraztsova, Zinovi Rabinovich, Alexandros A. Voudouris Quality Control Attack Schemes in Crowdsourcing
Alessandro Checco, Jo Bates, Gianluca Demartini Quaternion Collaborative Filtering for Recommendation
Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning
Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth RDPD: Rich Data Helps Poor Data via Imitation
Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun Reachability and Coverage Planning for Connected Agents
Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber Reachability Games in Dynamic Epistemic Logic
Bastien Maubert, Sophie Pinchinat, François Schwarzentruber Real-Time Adversarial Attacks
Yuan Gong, Boyang Li, Christian Poellabauer, Yiyu Shi Reallocating Multiple Facilities on the Line
Dimitris Fotakis, Loukas Kavouras, Panagiotis Kostopanagiotis, Philip Lazos, Stratis Skoulakis, Nikos Zarifis Reasoning About Quality and Fuzziness of Strategic Behaviours
Patricia Bouyer, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano, Giuseppe Perelli RecoNet: An Interpretable Neural Architecture for Recommender Systems
Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider Rectified Binary Convolutional Networks for Enhancing the Performance of 1-Bit DCNNs
Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo Refining Word Representations by Manifold Learning
Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, Xiaochao Fan Regarding Jump Point Search and Subgoal Graphs
Daniel Damir Harabor, Tansel Uras, Peter J. Stuckey, Sven Koenig Reinforcement Learning Experience Reuse with Policy Residual Representation
Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou Relation Extraction Using Supervision from Topic Knowledge of Relation Labels
Haiyun Jiang, Li Cui, Zhe Xu, Deqing Yang, Jindong Chen, Chenguang Li, Jingping Liu, Jiaqing Liang, Chao Wang, Yanghua Xiao, Wei Wang Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, Dongyan Zhao Representation Learning-Assisted Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Chao Qi, Zhaojie Liu, Yanlong Du Ridesharing with Driver Location Preferences
Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, David C. Parkes Robustness Against Agent Failure in Hedonic Games
Ayumi Igarashi, Kazunori Ota, Yuko Sakurai, Makoto Yokoo SAGE: A Hybrid Geopolitical Event Forecasting System
Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrés Abeliuk, Mehrnoosh Mirtaheri, K. S. M. Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas Satisfaction and Implication of Integrity Constraints in Ontology-Based Data Access
Charalampos Nikolaou, Bernardo Cuenca Grau, Egor V. Kostylev, Mark Kaminski, Ian Horrocks Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang Schelling Games on Graphs
Edith Elkind, Jiarui Gan, Ayumi Igarashi, Warut Suksompong, Alexandros A. Voudouris Self-Attentive Biaffine Dependency Parsing
Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si Semi-Supervised User Profiling with Heterogeneous Graph Attention Networks
Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang Sentiment-Controllable Chinese Poetry Generation
Huimin Chen, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Zhipeng Guo Sequential and Diverse Recommendation with Long Tail
Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu Sequential Recommender Systems: Challenges, Progress and Prospects
Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun Sharing Attention Weights for Fast Transformer
Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu Sharing Experience in Multitask Reinforcement Learning
Tung-Long Vuong, Do Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu, Viet-Cuong Ta, Quoc-Long Tran, Thanh Ha Le Shielded Base Contraction (Extended Abstract)
Marco Garapa, Eduardo Fermé, Maurício D. Luís Reis Simultaneous Prediction Intervals for Patient-Specific Survival Curves
Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets
Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier Solving Continual Combinatorial Selection via Deep Reinforcement Learning
HyungSeok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi SPAGAN: Shortest Path Graph Attention Network
Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao Spotting Collective Behaviour of Online Frauds in Customer Reviews
Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty Statistical Guarantees for the Robustness of Bayesian Neural Networks
Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti, Andrea Patane, Matthew Wicker Strategy Logic with Simple Goals: Tractable Reasoning About Strategies
Francesco Belardinelli, Wojciech Jamroga, Damian Kurpiewski, Vadim Malvone, Aniello Murano Stratified Evidence Logics
Philippe Balbiani, David Fernández-Duque, Andreas Herzig, Emiliano Lorini Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search
Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien Submodular Batch Selection for Training Deep Neural Networks
K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian Supervised Short-Length Hashing
Xingbo Liu, Xiushan Nie, Quan Zhou, Xiaoming Xi, Lei Zhu, Yilong Yin SynthNet: Learning to Synthesize Music End-to-End
Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi Temporal Information Design in Contests
Priel Levy, David Sarne, Yonatan Aumann The Dangers of Post-Hoc Interpretability: Unjustified Counterfactual Explanations
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki The Expected-Length Model of Options
David Abel, John Winder, Marie desJardins, Michael L. Littman The Interplay of Emotions and Norms in Multiagent Systems
Anup K. Kalia, Nirav Ajmeri, Kevin S. Chan, Jin-Hee Cho, Sibel Adali, Munindar P. Singh The Price of Fairness for Indivisible Goods
Xiaohui Bei, Xinhang Lu, Pasin Manurangsi, Warut Suksompong The Price of Local Fairness in Multistage Selection
Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau The Provable Virtue of Laziness in Motion Planning
Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa The Pywmi Framework and Toolbox for Probabilistic Inference Using Weighted Model Integration
Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt Three-Player Wasserstein GAN via Amortised Duality
Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung Three-Quarter Sibling Regression for Denoising Observational Data
Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin Topology Optimization Based Graph Convolutional Network
Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo Toward Efficient Navigation of Massive-Scale Geo-Textual Streams
Chengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu, Li Liu, Ling Shao Towards Robust ResNet: A Small Step but a Giant Leap
Jingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan S. Kankanhalli Trend-Aware Tensor Factorization for Job Skill Demand Analysis
Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang Unsupervised Neural Aspect Extraction with Sememes
Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu VEST: A System for Vulnerability Exploit Scoring & Timing
Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities
Xu Duan, Jingzheng Wu, Shouling Ji, Zhiqing Rui, Tianyue Luo, Mutian Yang, Yanjun Wu Weak Supervision Enhanced Generative Network for Question Generation
Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang Weakly Supervised Multi-Task Learning for Semantic Parsing
Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario
Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks
Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati Worst-Case Discriminative Feature Selection
Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang Zero-Shot Learning with Many Classes by High-Rank Deep Embedding Networks
Yuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai Zero-Shot Metric Learning
Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng