| 2019 | 3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen |
| 2019 | A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning. Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert |
| 2019 | A Compliance Checking Framework for DNN Models. Sunny Verma, Chen Wang, Liming Zhu, Wei Liu |
| 2019 | A Contribution to the Critique of Liquid Democracy. Ioannis Caragiannis, Evi Micha |
| 2019 | A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu |
| 2019 | 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 |
| 2019 | A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data. Mingyang Zhang, Tong Li, Hongzhi Shi, Yong Li, Pan Hui |
| 2019 | A Deep Bi-directional Attention Network for Human Motion Recovery. Qiongjie Cui, Huaijiang Sun, Yupeng Li, Yue Kong |
| 2019 | A Deep Generative Model for Code Switched Text. Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti |
| 2019 | A Degeneracy Framework for Scalable Graph Autoencoders. Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis |
| 2019 | A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan |
| 2019 | A Dual Approach to Verify and Train Deep Networks. Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli |
| 2019 | A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui |
| 2019 | A Goal-Driven Tree-Structured Neural Model for Math Word Problems. Zhipeng Xie, Shichao Sun |
| 2019 | A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. Klaus Broelemann, Gjergji Kasneci |
| 2019 | A Latent Variable Model for Learning Distributional Relation Vectors. José Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert |
| 2019 | A Mobile Application for Sound Event Detection. Yingwei Fu, Kele Xu, Haibo Mi, Huaimin Wang, Dezhi Wang, Boqing Zhu |
| 2019 | A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic. Paul Wild, Lutz Schröder, Dirk Pattinson, Barbara König |
| 2019 | A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao |
| 2019 | A Parameterized Perspective on Protecting Elections. Palash Dey, Neeldhara Misra, Swaprava Nath, Garima Shakya |
| 2019 | A Part Power Set Model for Scale-Free Person Retrieval. Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang |
| 2019 | A Practical Semi-Parametric Contextual Bandit. Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin |
| 2019 | A Principled Approach for Learning Task Similarity in Multitask Learning. Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné |
| 2019 | A Privacy Preserving Collusion Secure DCOP Algorithm. Tamir Tassa, Tal Grinshpoun, Avishay Yanai |
| 2019 | A Probabilistic Logic for Resource-Bounded Multi-Agent Systems. Hoang Nga Nguyen, Abdur Rakib |
| 2019 | 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 |
| 2019 | A Quantitative Analysis of Multi-Winner Rules. Martin Lackner, Piotr Skowron |
| 2019 | A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization. Zhihuai Chen, Yinan Li, Xiaoming Sun, Pei Yuan, Jialin Zhang |
| 2019 | A Refined Understanding of Cost-optimal Planning with Polytree Causal Graphs. Christer Bäckström, Peter Jonsson, Sebastian Ordyniak |
| 2019 | A Regularized Opponent Model with Maximum Entropy Objective. Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang |
| 2019 | A Replication Study of Semantics in Argumentation. Leila Amgoud |
| 2019 | A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning. Zefeng Chen, Yuren Zhou, Xiaoyu He, Siyu Jiang |
| 2019 | A Review-Driven Neural Model for Sequential Recommendation. Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan |
| 2019 | A Semantics-based Model for Predicting Children's Vocabulary. Ishaan Grover, Hae Won Park, Cynthia Breazeal |
| 2019 | A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs. Jun Gao, Jianliang Gao |
| 2019 | A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification. Yan Zhou, Longtao Huang, Tao Guo, Jizhong Han, Songlin Hu |
| 2019 | A Strongly Asymptotically Optimal Agent in General Environments. Michael K. Cohen, Elliot Catt, Marcus Hutter |
| 2019 | 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 |
| 2019 | A Survey on Hierarchical Planning - One Abstract Idea, Many Concrete Realizations. Pascal Bercher, Ron Alford, Daniel Höller |
| 2019 | A Tractable, Expressive, and Eventually Complete First-Order Logic of Limited Belief. Gerhard Lakemeyer, Hector J. Levesque |
| 2019 | A Unified Mathematical Approach for Foraging and Construction Systems in a 1, 000, 000 Robot Swarm. John Harwell |
| 2019 | A Value-based Trust Assessment Model for Multi-agent Systems. Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam |
| 2019 | A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment. Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang |
| 2019 | A Walkthrough for the Principle of Logit Separation. Gil Keren, Sivan Sabato, Björn W. Schuller |
| 2019 | A*+IDA*: A Simple Hybrid Search Algorithm. Zhaoxing Bu, Richard E. Korf |
| 2019 | ACTA A Tool for Argumentative Clinical Trial Analysis. Tobias Mayer, Elena Cabrio, Serena Villata |
| 2019 | AI Planning for Enterprise: Putting Theory Into Practice. Shirin Sohrabi |
| 2019 | AI at the Margins: Data, Decisions, and Inclusive Social Impact. Bryan Wilder |
| 2019 | AI in Recruiting. Multi-agent Systems Architecture for Ethical and Legal Auditing. María del Carmen Fernández Martínez, Alberto Fernández |
| 2019 | AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion. Katia Bourahmoune, Toshiyuki Amagasa |
| 2019 | ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs. Amir Gholaminejad, Kurt Keutzer, George Biros |
| 2019 | 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 |
| 2019 | ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li |
| 2019 | ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang |
| 2019 | ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling. Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi |
| 2019 | ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups. Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong |
| 2019 | Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor. Yuanyuan Liu, Fanhua Shang, Licheng Jiao |
| 2019 | Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure. Yipeng Zhang, Bo Du, Lefei Zhang, Rongchun Li, Yong Dou |
| 2019 | Accelerating Extreme Classification via Adaptive Feature Agglomeration. Ankit Jalan, Purushottam Kar |
| 2019 | Achieving Causal Fairness through Generative Adversarial Networks. Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu |
| 2019 | Achieving a Fairer Future by Changing the Past. Jiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng |
| 2019 | Acquiring Integer Programs from Data. Mohit Kumar, Stefano Teso, Luc De Raedt |
| 2019 | Action Space Learning for Heterogeneous User Behavior Prediction. Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu |
| 2019 | Active Learning within Constrained Environments through Imitation of an Expert Questioner. Kalesha Bullard, Yannick Schroecker, Sonia Chernova |
| 2019 | ActiveHNE: Active Heterogeneous Network Embedding. Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang |
| 2019 | Ad Hoc Teamwork With Behavior Switching Agents. Manish Ravula, Shani Alkoby, Peter Stone |
| 2019 | AdaLinUCB: Opportunistic Learning for Contextual Bandits. Xueying Guo, Xiaoxiao Wang, Xin Liu |
| 2019 | Adapting BERT for Target-Oriented Multimodal Sentiment Classification. Jianfei Yu, Jing Jiang |
| 2019 | Adaptive Ensemble Active Learning for Drifting Data Stream Mining. Bartosz Krawczyk, Alberto Cano |
| 2019 | Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien |
| 2019 | Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie |
| 2019 | AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao |
| 2019 | Addressing Age-Related Bias in Sentiment Analysis. Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle |
| 2019 | Advantage Amplification in Slowly Evolving Latent-State Environments. Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier |
| 2019 | Adversarial Attacks on Neural Networks for Graph Data. Daniel Zügner, Amir Akbarnejad, Stephan Günnemann |
| 2019 | Adversarial Examples for Graph Data: Deep Insights into Attack and Defense. Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu |
| 2019 | Adversarial Graph Embedding for Ensemble Clustering. Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu |
| 2019 | Adversarial Imitation Learning from Incomplete Demonstrations. Mingfei Sun, Xiaojuan Ma |
| 2019 | Adversarial Incomplete Multi-view Clustering. Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling |
| 2019 | Adversarial Machine Learning with Double Oracle. Kai Wang |
| 2019 | Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks. Jing Li, Deheng Ye, Shuo Shang |
| 2019 | Advocacy Learning: Learning through Competition and Class-Conditional Representations. Ian Fox, Jenna Wiens |
| 2019 | Affine Equivariant Autoencoder. Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin |
| 2019 | Agent-based Decision Support for Pain Management in Primary Care Settings. Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen |
| 2019 | Aggregating Incomplete Pairwise Preferences by Weight. Zoi Terzopoulou, Ulle Endriss |
| 2019 | Aggressive Driving Saves More Time? Multi-task Learning for Customized Travel Time Estimation. Ruipeng Gao, Xiaoyu Guo, Fuyong Sun, Lin Dai, Jiayan Zhu, Chenxi Hu, Haibo Li |
| 2019 | AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations. Tiago Pinto, Zita A. Vale |
| 2019 | 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 |
| 2019 | Almost Envy-Freeness in Group Resource Allocation. Maria Kyropoulou, Warut Suksompong, Alexandros A. Voudouris |
| 2019 | Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song |
| 2019 | AmazonQA: A Review-Based Question Answering Task. Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton |
| 2019 | An ASP Approach to Generate Minimal Countermodels in Intuitionistic Propositional Logic. Camillo Fiorentini |
| 2019 | An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments. Elaheh Barati, Xuewen Chen |
| 2019 | An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project Problem. Mingyu Guo |
| 2019 | 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 |
| 2019 | An Efficient Algorithm for Skeptical Preferred Acceptance in Dynamic Argumentation Frameworks. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi |
| 2019 | An Efficient Evolutionary Algorithm for Minimum Cost Submodular Cover. Victoria G. Crawford |
| 2019 | An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph. Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang |
| 2019 | An Evolution Strategy with Progressive Episode Lengths for Playing Games. Lior Fuks, Noor H. Awad, Frank Hutter, Marius Lindauer |
| 2019 | An Experimental View on Committees Providing Justified Representation. Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Rolf Niedermeier |
| 2019 | An Input-aware Factorization Machine for Sparse Prediction. Yantao Yu, Zhen Wang, Bo Yuan |
| 2019 | An Online Intelligent Visual Interaction System. Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao |
| 2019 | An Ordinal Banzhaf Index for Social Ranking. Hossein Khani, Stefano Moretti, Meltem Öztürk |
| 2019 | Answer Set Programming for Judgment Aggregation. Ronald de Haan, Marija Slavkovik |
| 2019 | Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz |
| 2019 | AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li |
| 2019 | Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt |
| 2019 | Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior. Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings |
| 2019 | Approval-Based Elections and Distortion of Voting Rules. Grzegorz Pierczynski, Piotr Skowron |
| 2019 | Approximability of Constant-horizon Constrained POMDP. Majid Khonji, Ashkan Jasour, Brian C. Williams |
| 2019 | Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis. Jian Li, Yong Liu, Rong Yin, Weiping Wang |
| 2019 | Approximate Optimal Transport for Continuous Densities with Copulas. Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang |
| 2019 | Approximately Maximizing the Broker's Profit in a Two-sided Market. Jing Chen, Bo Li, Yingkai Li |
| 2019 | Approximating Integer Solution Counting via Space Quantification for Linear Constraints. Cunjing Ge, Feifei Ma, Xutong Ma, Fan Zhang, Pei Huang, Jian Zhang |
| 2019 | Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang |
| 2019 | Assumed Density Filtering Q-learning. Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee |
| 2019 | AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems. Yanchen Deng, Ziyu Chen, Dingding Chen, Wenxin Zhang, Xingqiong Jiang |
| 2019 | Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. Bin Gu, Wenhan Xian, Heng Huang |
| 2019 | Athanor: High-Level Local Search Over Abstract Constraint Specifications in Essence. Saad Attieh, Nguyen Dang, Christopher Jefferson, Ian Miguel, Peter Nightingale |
| 2019 | AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition. Haojie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu |
| 2019 | Attribute Aware Pooling for Pedestrian Attribute Recognition. Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu |
| 2019 | Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction. Luojun Lin, Lingyu Liang, Lianwen Jin, Weijie Chen |
| 2019 | Attributed Graph Clustering via Adaptive Graph Convolution. Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu |
| 2019 | Attributed Graph Clustering: A Deep Attentional Embedding Approach. Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2019 | Attributed Subspace Clustering. Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi |
| 2019 | AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation. Philip Tannor, Lior Rokach |
| 2019 | Augmenting Transfer Learning with Semantic Reasoning. Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen |
| 2019 | Automated Essay Scoring: A Survey of the State of the Art. Zixuan Ke, Vincent Ng |
| 2019 | Automated Machine Learning with Monte-Carlo Tree Search. Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag |
| 2019 | Automated Negotiation with Gaussian Process-based Utility Models. Haralambie Leahu, Michael Kaisers, Tim Baarslag |
| 2019 | 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 |
| 2019 | Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards. Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu |
| 2019 | Automatic Verification of FSA Strategies via Counterexample-Guided Local Search for Invariants. Kailun Luo, Yongmei Liu |
| 2019 | Autoregressive Policies for Continuous Control Deep Reinforcement Learning. Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra |
| 2019 | Average-case Analysis of the Assignment Problem with Independent Preferences. Yansong Gao, Jie Zhang |
| 2019 | BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. Peichen Xie, Bingzhe Wu, Guangyu Sun |
| 2019 | BN-invariant Sharpness Regularizes the Training Model to Better Generalization. Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu |
| 2019 | BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai |
| 2019 | Balanced Clustering: A Uniform Model and Fast Algorithm. Weibo Lin, Zhu He, Mingyu Xiao |
| 2019 | Balanced Ranking with Diversity Constraints. Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich |
| 2019 | Balancing Explicability and Explanations in Human-Aware Planning. Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati |
| 2019 | Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah |
| 2019 | Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis. Yi Chou, Sriram Sankaranarayanan |
| 2019 | Bayesian Uncertainty Matching for Unsupervised Domain Adaptation. Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen |
| 2019 | Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders. Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2019 | BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye |
| 2019 | Belief Propagation Network for Hard Inductive Semi-Supervised Learning. Jaemin Yoo, Hyunsik Jeon, U Kang |
| 2019 | Belief Revision Operators with Varying Attitudes Towards Initial Beliefs. Adrian Haret, Stefan Woltran |
| 2019 | Belief Update without Compactness in Non-finitary Languages. Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann |
| 2019 | Best Answers over Incomplete Data : Complexity and First-Order Rewritings. Amélie Gheerbrant, Cristina Sirangelo |
| 2019 | Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval. Lianli Gao, Xiaosu Zhu, Jingkuan Song, Zhou Zhao, Heng Tao Shen |
| 2019 | Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li |
| 2019 | BiOWA for Preference Aggregation with Bipolar Scales: Application to Fair Optimization in Combinatorial Domains. Hugo Martin, Patrice Perny |
| 2019 | Bidirectional Active Learning with Gold-Instance-Based Human Training. Feilong Tang |
| 2019 | Binarized Collaborative Filtering with Distilling Graph Convolutional Network. Haoyu Wang, Defu Lian, Yong Ge |
| 2019 | Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. Feng Zheng, Cheng Deng, Heng Huang |
| 2019 | Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns. Zhipeng Xie, Feiteng Mu |
| 2019 | Boosting for Comparison-Based Learning. Michaël Perrot, Ulrike von Luxburg |
| 2019 | Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang |
| 2019 | Branch-and-Cut-and-Price for Multi-Agent Pathfinding. Edward Lam, Pierre Le Bodic, Daniel Damir Harabor, Peter J. Stuckey |
| 2019 | 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 |
| 2019 | CFM: Convolutional Factorization Machines for Context-Aware Recommendation. Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose |
| 2019 | CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets. Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu |
| 2019 | CNN-Based Chinese NER with Lexicon Rethinking. Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang |
| 2019 | COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning. Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He |
| 2019 | CRSRL: Customer Routing System Using Reinforcement Learning. Chong Long, Zining Liu, Xiaolu Lu, Zehong Hu, Yafang Wang |
| 2019 | Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?. Céline Hocquette |
| 2019 | Cap-and-Trade Emissions Regulation: A Strategic Analysis. Frank Cheng, Yagil Engel, Michael P. Wellman |
| 2019 | Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning. Shi Yin, Shangfei Wang, Guozhu Peng, Xiaoping Chen, Bowen Pan |
| 2019 | Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. Yi-Qi Hu, Yang Yu, Jun-Da Liao |
| 2019 | Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model. Chang Li, Maarten de Rijke |
| 2019 | Causal Discovery with Cascade Nonlinear Additive Noise Model. Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao |
| 2019 | Causal Embeddings for Recommendation: An Extended Abstract. Flavian Vasile, Stephen Bonner |
| 2019 | Cautious Rule-Based Collective Inference. Martin Svatos |
| 2019 | CensNet: Convolution with Edge-Node Switching in Graph Neural Networks. Xiaodong Jiang, Pengsheng Ji, Sheng Li |
| 2019 | Chasing Sets: How to Use Existential Rules for Expressive Reasoning. David Carral, Irina Dragoste, Markus Krötzsch, Christian Lewe |
| 2019 | Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs. Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar |
| 2019 | Classification with Label Distribution Learning. Jing Wang, Xin Geng |
| 2019 | Clause Learning and New Bounds for Graph Coloring. Emmanuel Hebrard, George Katsirelos |
| 2019 | Closed-Loop Memory GAN for Continual Learning. Amanda Rios, Laurent Itti |
| 2019 | Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom Ontologies. Stefan Borgwardt, Walter Forkel |
| 2019 | Co-Attentive Multi-Task Learning for Explainable Recommendation. Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen |
| 2019 | CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network. Sayan Banerjee, Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan |
| 2019 | CoTrRank: Trust Evaluation of Users and Tweets. Peiyao Li, Weiliang Zhao, Jian Yang, Jia Wu |
| 2019 | Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu |
| 2019 | Cold-Start Aware Deep Memory Network for Multi-Entity Aspect-Based Sentiment Analysis. Kaisong Song, Wei Gao, Lujun Zhao, Jun Lin, Changlong Sun, Xiaozhong Liu |
| 2019 | Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie |
| 2019 | Color-Sensitive Person Re-Identification. Guan'an Wang, Yang Yang, Jian Cheng, Jinqiao Wang, Zeng-Guang Hou |
| 2019 | Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints. Joachim Giesen, Sören Laue |
| 2019 | Commit Message Generation for Source Code Changes. Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu |
| 2019 | Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion. Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang |
| 2019 | Compact Representation of Value Function in Partially Observable Stochastic Games. Karel Horák, Branislav Bosanský, Christopher Kiekintveld, Charles A. Kamhoua |
| 2019 | Comparing Options with Argument Schemes Powered by Cancellation. Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane |
| 2019 | Compilation of Logical Arguments. Leila Amgoud, Dragan Doder |
| 2019 | Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly |
| 2019 | Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty (Extended Abstract). Nikhil Bhargava, Brian C. Williams |
| 2019 | Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract). Bettina Fazzinga, Sergio Flesca, Filippo Furfaro |
| 2019 | Complexity of Manipulating and Controlling Approval-Based Multiwinner Voting. Yongjie Yang |
| 2019 | Comprehensive Semi-Supervised Multi-Modal Learning. Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang |
| 2019 | Computational Aspects of Equilibria in Discrete Preference Games. Phani Raj Lolakapuri, Umang Bhaskar, Ramasuri Narayanam, Gyana R. Parija, Pankaj S. Dayama |
| 2019 | 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 |
| 2019 | Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf |
| 2019 | Conditional Preference Network with Constraints and Uncertainty. Sultan Ahmed |
| 2019 | Conditions for Avoiding Node Re-expansions in Bounded Suboptimal Search. Jingwei Chen, Nathan R. Sturtevant |
| 2019 | Conditions on Features for Temporal Difference-Like Methods to Converge. Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed |
| 2019 | Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes. Jiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi |
| 2019 | Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling. Dan Guo, Shengeng Tang, Meng Wang |
| 2019 | Constraint Games for Stable and Optimal Allocation of Demands in SDN. Anthony Palmieri, Arnaud Lallouet, Luc Pons |
| 2019 | Constraint Programming for Mining Borders of Frequent Itemsets. Mohamed-Bachir Belaid, Christian Bessiere, Nadjib Lazaar |
| 2019 | Constraint Solving and Optimization Using Evolutionary Techniques. Mahdi Bidar, Malek Mouhoub |
| 2019 | Constraint-Based Scheduling with Complex Setup Operations: An Iterative Two-Layer Approach. Adriana Pacheco, Cédric Pralet, Stéphanie Roussel |
| 2019 | Contextual Typeahead Sticker Suggestions on Hike Messenger. Mohamed Hanoosh, Abhishek Laddha, Debdoot Mukherjee |
| 2019 | Controllable Neural Story Plot Generation via Reward Shaping. Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl |
| 2019 | Converging on Common Knowledge. Dominik Klein, Rasmus Kræmmer Rendsvig |
| 2019 | Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation. Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei |
| 2019 | Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty. Junyang Jiang, Deqing Yang, Yanghua Xiao, Chenlu Shen |
| 2019 | Cooperative Pruning in Cross-Domain Deep Neural Network Compression. Shangyu Chen, Wenya Wang, Sinno Jialin Pan |
| 2019 | Coreference Aware Representation Learning for Neural Named Entity Recognition. Zeyu Dai, Hongliang Fei, Ping Li |
| 2019 | Correct-and-Memorize: Learning to Translate from Interactive Revisions. Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen |
| 2019 | Correlating Preferences and Attributes: Nearly Single-Crossing Profiles. Foram Lakhani, Dominik Peters, Edith Elkind |
| 2019 | Correlation-Sensitive Next-Basket Recommendation. Duc-Trong Le, Hady W. Lauw, Yuan Fang |
| 2019 | CounterFactual Regression with Importance Sampling Weights. Negar Hassanpour, Russell Greiner |
| 2019 | Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks. Steven Carr, Nils Jansen, Ralf Wimmer, Alexandru Constantin Serban, Bernd Becker, Ufuk Topcu |
| 2019 | Counterfactual Fairness: Unidentification, Bound and Algorithm. Yongkai Wu, Lu Zhang, Xintao Wu |
| 2019 | Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning. Ruth M. J. Byrne |
| 2019 | Crafting Efficient Neural Graph of Large Entropy. Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu |
| 2019 | Cross-City Transfer Learning for Deep Spatio-Temporal Prediction. Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang |
| 2019 | Crowd View: Converting Investors' Opinions into Indicators. Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2019 | Curriculum Learning for Cumulative Return Maximization. Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti |
| 2019 | Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models. Tahrima Rahman, Shasha Jin, Vibhav Gogate |
| 2019 | DANE: Domain Adaptive Network Embedding. Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin |
| 2019 | DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. Feng Yuan, Lina Yao, Boualem Benatallah |
| 2019 | DBDNet: Learning Bi-directional Dynamics for Early Action Prediction. Guoliang Pang, Xionghui Wang, Jianfang Hu, Qing Zhang, Wei-Shi Zheng |
| 2019 | DDL: Deep Dictionary Learning for Predictive Phenotyping. Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun |
| 2019 | DISPUTool - A tool for the Argumentative Analysis of Political Debates. Shohreh Haddadan, Elena Cabrio, Serena Villata |
| 2019 | DMRAN: A Hierarchical Fine-Grained Attention-Based Network for Recommendation. Huizhao Wang, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng |
| 2019 | DSRN: A Deep Scale Relationship Network for Scene Text Detection. Yuxin Wang, Hongtao Xie, Zilong Fu, Yongdong Zhang |
| 2019 | Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics. Vladislav Ryzhikov, Przemyslaw Andrzej Walega, Michael Zakharyaschev |
| 2019 | Data Poisoning Attack against Knowledge Graph Embedding. Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren |
| 2019 | Data Poisoning against Differentially-Private Learners: Attacks and Defenses. Yuzhe Ma, Xiaojin Zhu, Justin Hsu |
| 2019 | DatalogMTL: Computational Complexity and Expressive Power. Przemyslaw Andrzej Walega, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev |
| 2019 | Daytime Sleepiness Level Prediction Using Respiratory Information. Kazuhiko Shinoda, Masahiko Yoshii, Hayato Yamaguchi, Hirotaka Kaji |
| 2019 | Deanonymizing Social Networks Using Structural Information. Ioannis Caragiannis, Evanthia Tsitsoka |
| 2019 | Decentralized Optimization with Edge Sampling. Chi Zhang, Qianxiao Li, Peilin Zhao |
| 2019 | Decidability of Model Checking Multi-Agent Systems with Regular Expressions against Epistemic HS Specifications. Jakub Michaliszyn, Piotr Witkowski |
| 2019 | Decision Making for Improving Maritime Traffic Safety Using Constraint Programming. Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau |
| 2019 | Decoding EEG by Visual-guided Deep Neural Networks. Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen |
| 2019 | Deep Active Learning for Anchor User Prediction. Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo |
| 2019 | Deep Active Learning with Adaptive Acquisition. Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir |
| 2019 | Deep Adversarial Multi-view Clustering Network. Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang |
| 2019 | Deep Adversarial Social Recommendation. Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li |
| 2019 | Deep Cascade Generation on Point Sets. Kaiqi Wang, Ke Chen, Kui Jia |
| 2019 | Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification. Zhe Xue, Junping Du, Dawei Du, Wenqi Ren, Siwei Lyu |
| 2019 | Deep Learning for Video Captioning: A Review. Shaoxiang Chen, Ting Yao, Yu-Gang Jiang |
| 2019 | Deep Learning with Relational Logic Representations. Gustav Sourek |
| 2019 | Deep Light-field-driven Saliency Detection from a Single View. Yongri Piao, Zhengkun Rong, Miao Zhang, Xiao Li, Huchuan Lu |
| 2019 | Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Classification. Peiqin Lin, Meng Yang, Jianhuang Lai |
| 2019 | Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang |
| 2019 | Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan |
| 2019 | Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He |
| 2019 | Deep Recurrent Quantization for Generating Sequential Binary Codes. Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen |
| 2019 | Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning. Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li |
| 2019 | Deep Session Interest Network for Click-Through Rate Prediction. Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang |
| 2019 | Deep Spectral Kernel Learning. Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun |
| 2019 | Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer |
| 2019 | DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin |
| 2019 | DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis. Sunny Verma, Chen Wang, Liming Zhu, Wei Liu |
| 2019 | DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. Marco Maier, Daniel Elsner, Chadly Marouane, Meike Zehnle, Christoph Fuchs |
| 2019 | DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks. Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar |
| 2019 | DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris |
| 2019 | DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun |
| 2019 | Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning. Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov |
| 2019 | Deeply-learned Hybrid Representations for Facial Age Estimation. Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li |
| 2019 | Delayed Impact of Fair Machine Learning. Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt |
| 2019 | Deliberation Learning for Image-to-Image Translation. Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen |
| 2019 | DeltaDou: Expert-level Doudizhu AI through Self-play. Qiqi Jiang, Kuangzheng Li, Boyao Du, Hao Chen, Hai Fang |
| 2019 | Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation. Yu-Hua Chen, Bryan Wang, Yi-Hsuan Yang |
| 2019 | Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault Localization. Sofia Reis, Rui Abreu, Marcelo d'Amorim |
| 2019 | Dense Temporal Convolution Network for Sign Language Translation. Dan Guo, Shuo Wang, Qi Tian, Meng Wang |
| 2019 | Dense Transformer Networks for Brain Electron Microscopy Image Segmentation. Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji |
| 2019 | Densely Connected Attention Flow for Visual Question Answering. Fei Liu, Jing Liu, Zhiwei Fang, Richang Hong, Hanqing Lu |
| 2019 | Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation. Siying Wu, Zheng-Jun Zha, Zilei Wang, Houqiang Li, Feng Wu |
| 2019 | Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces. Akihiro Kishimoto, Adi Botea, Radu Marinescu |
| 2019 | Design and Implementation of a Disambiguity Framework for Smart Voice Controlled Devices. Kehua Lei, Tianyi Ma, Jia Jia, Cunjun Zhang, Zhihan Yang |
| 2019 | Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network. Bo Li, Zhengxing Sun, Lv Tang, Yunhan Sun, Jinlong Shi |
| 2019 | Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents. Ritesh Sarkhel, Arnab Nandi |
| 2019 | DiffChaser: Detecting Disagreements for Deep Neural Networks. Xiaofei Xie, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, Xiaohong Li |
| 2019 | Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum |
| 2019 | Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning. Lingxiao Wang, Quanquan Gu |
| 2019 | Differentially Private Optimal Transport: Application to Domain Adaptation. Nam Lê Tien, Amaury Habrard, Marc Sebban |
| 2019 | Difficulty Controllable Generation of Reading Comprehension Questions. Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King |
| 2019 | Diffusion and Auction on Graphs. Bin Li, Dong Hao, Dengji Zhao, Makoto Yokoo |
| 2019 | Dilated Convolution with Dilated GRU for Music Source Separation. Jen-Yu Liu, Yi-Hsuan Yang |
| 2019 | Direction-Optimizing Breadth-First Search with External Memory Storage. Shuli Hu, Nathan R. Sturtevant |
| 2019 | Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model. Chunyang Ruan, Jiangang Ma, Ye Wang, Yanchun Zhang, Yun Yang |
| 2019 | Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2019 | Discrete Binary Coding based Label Distribution Learning. Ke Wang, Xin Geng |
| 2019 | Discrete Trust-aware Matrix Factorization for Fast Recommendation. Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He |
| 2019 | Discriminative Sample Generation for Deep Imbalanced Learning. Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen |
| 2019 | Discriminative and Correlative Partial Multi-Label Learning. Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen |
| 2019 | Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang |
| 2019 | Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices. Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo |
| 2019 | Distributed Collaborative Feature Selection Based on Intermediate Representation. Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai |
| 2019 | Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies. Muhammad A. Masood, Finale Doshi-Velez |
| 2019 | Do We Need Many-valued Logics for Incomplete Information?. Marco Console, Paolo Guagliardo, Leonid Libkin |
| 2019 | Do You Need Infinite Time?. Alessandro Artale, Andrea Mazzullo, Ana Ozaki |
| 2019 | Domain-Dependent and Domain-Independent Problem Solving Techniques. Roni Stern |
| 2019 | DoubleLex Revisited and Beyond. Xuming Huang, Jimmy Lee |
| 2019 | Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology. Liang Yang, Zhiyang Chen, Junhua Gu, Yuanfang Guo |
| 2019 | Dual Visual Attention Network for Visual Dialog. Dan Guo, Hui Wang, Meng Wang |
| 2019 | Dual-Path in Dual-Path Network for Single Image Dehazing. Aiping Yang, Haixin Wang, Zhong Ji, Yanwei Pang, Ling Shao |
| 2019 | Dual-View Variational Autoencoders for Semi-Supervised Text Matching. Zhongbin Xie, Shuai Ma |
| 2019 | DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan |
| 2019 | Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. Wei Qiu, Haipeng Chen, Bo An |
| 2019 | Dynamic Feature Fusion for Semantic Edge Detection. Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng |
| 2019 | Dynamic Hypergraph Neural Networks. Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao |
| 2019 | Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu |
| 2019 | Dynamic logic of parallel propositional assignments and its applications to planning. Andreas Herzig, Frédéric Maris, Julien Vianey |
| 2019 | Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification. Wanshan Zheng, Zibin Zheng, Hai Wan, Chuan Chen |
| 2019 | 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 |
| 2019 | EL Embeddings: Geometric Construction of Models for the Description Logic EL++. Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf |
| 2019 | ERICA and WikiTalk. Divesh Lala, Graham Wilcock, Kristiina Jokinen, Tatsuya Kawahara |
| 2019 | Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis. Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang |
| 2019 | Earliest-Completion Scheduling of Contract Algorithms with End Guarantees. Spyros Angelopoulos, Shendan Jin |
| 2019 | Early Discovery of Emerging Entities in Microblogs. Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda |
| 2019 | Efficient Non-parametric Bayesian Hawkes Processes. Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie |
| 2019 | Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks. Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan |
| 2019 | Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization. Joachim Giesen, Frank Nussbaum, Christopher Schneider |
| 2019 | Election with Bribe-Effect Uncertainty: A Dichotomy Result. Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi |
| 2019 | 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 |
| 2019 | End-to-End Multi-Perspective Matching for Entity Resolution. Cheng Fu, Xianpei Han, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong |
| 2019 | Energy-Efficient Slithering Gait Exploration for a Snake-Like Robot Based on Reinforcement Learning. Zhenshan Bing, Christian Lemke, Zhuangyi Jiang, Kai Huang, Alois C. Knoll |
| 2019 | Enhancing Stock Movement Prediction with Adversarial Training. Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua |
| 2019 | Enriching Ontology-based Data Access with Provenance. Diego Calvanese, Davide Lanti, Ana Ozaki, Rafael Peñaloza, Guohui Xiao |
| 2019 | Ensemble-based Ultrahigh-dimensional Variable Screening. Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian |
| 2019 | Entangled Kernels. Riikka Huusari, Hachem Kadri |
| 2019 | Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks. Fan Xiong, Jianliang Gao |
| 2019 | Entropy-Penalized Semidefinite Programming. Mikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takác |
| 2019 | Enumerating Potential Maximal Cliques via SAT and ASP. Tuukka Korhonen, Jeremias Berg, Matti Järvisalo |
| 2019 | Equally-Guided Discriminative Hashing for Cross-modal Retrieval. Yufeng Shi, Xinge You, Feng Zheng, Shuo Wang, Qinmu Peng |
| 2019 | Equilibrium Characterization for Data Acquisition Games. Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman |
| 2019 | Equitable Allocations of Indivisible Goods. Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia |
| 2019 | Estimating Causal Effects of Tone in Online Debates. Dhanya Sridhar, Lise Getoor |
| 2019 | Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively. Serena Booth, Christian Muise, Julie Shah |
| 2019 | Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network. Bonaventure C. Molokwu |
| 2019 | Evolutionary Learning of Existential Rules. Lianlong Wu |
| 2019 | Exact Bernoulli Scan Statistics using Binary Decision Diagrams. Masakazu Ishihata, Takanori Maehara |
| 2019 | Exchangeability and Kernel Invariance in Trained MLPs. Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher |
| 2019 | Experience Replay Optimization. Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu |
| 2019 | Explainable Deep Neural Networks for Multivariate Time Series Predictions. Roy Assaf, Anika Schumann |
| 2019 | Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu |
| 2019 | 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 |
| 2019 | Explanations for Query Answers under Existential Rules. Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius |
| 2019 | Explicitly Coordinated Policy Iteration. Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao |
| 2019 | Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks. Hogun Park, Jennifer Neville |
| 2019 | Exploiting Persona Information for Diverse Generation of Conversational Responses. Haoyu Song, Weinan Zhang, Yiming Cui, Dong Wang, Ting Liu |
| 2019 | Exploiting Social Influence to Control Elections Based on Scoring Rules. Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani |
| 2019 | Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. Matthieu Zimmer, Paul Weng |
| 2019 | Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy. Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang |
| 2019 | Exploring Computational User Models for Agent Policy Summarization. Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir |
| 2019 | Exploring and Distilling Cross-Modal Information for Image Captioning. Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun |
| 2019 | Exploring the Task Cooperation in Multi-goal Visual Navigation. Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha |
| 2019 | Extensible Cross-Modal Hashing. Tian-Yi Chen, Lan Zhang, Shicong Zhang, Zilong Li, Baichuan Huang |
| 2019 | Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model. Junchi Zhang, Yanxia Qin, Yue Zhang, Mengchi Liu, Donghong Ji |
| 2019 | Extrapolating Paths with Graph Neural Networks. Jean-Baptiste Cordonnier, Andreas Loukas |
| 2019 | E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation. Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan |
| 2019 | FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks. Qi Xia, Zeyi Tao, Zijiang Hao, Qun Li |
| 2019 | FAHT: An Adaptive Fairness-aware Decision Tree Classifier. Wenbin Zhang, Eirini Ntoutsi |
| 2019 | FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power. Zhongzhou Liu, Wenbin Hu |
| 2019 | FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings. Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Sujit Gujar |
| 2019 | Face Photo-Sketch Synthesis via Knowledge Transfer. Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li |
| 2019 | Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving. Akifumi Wachi |
| 2019 | Fair Allocation of Indivisible Goods and Chores. Haris Aziz, Ioannis Caragiannis, Ayumi Igarashi, Toby Walsh |
| 2019 | 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 |
| 2019 | Fair and Explainable Dynamic Engagement of Crowd Workers. Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng |
| 2019 | Fairness Towards Groups of Agents in the Allocation of Indivisible Items. Nawal Benabbou, Mithun Chakraborty, Edith Elkind, Yair Zick |
| 2019 | Fairwalk: Towards Fair Graph Embedding. Tahleen A. Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang |
| 2019 | FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian |
| 2019 | Fast Algorithm for K-Truss Discovery on Public-Private Graphs. Soroush Ebadian, Xin Huang |
| 2019 | Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang |
| 2019 | Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka |
| 2019 | Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng |
| 2019 | Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds. Nikhil Bhargava, Brian C. Williams |
| 2019 | Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust. Qitian Wu, Lei Jiang, Xiaofeng Gao, Xiaochun Yang, Guihai Chen |
| 2019 | Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness. Chihuang Liu, Joseph F. JáJá |
| 2019 | 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 |
| 2019 | Finding Justifications by Approximating Core for Large-scale Ontologies. Mengyu Gao, Yuxin Ye, Dantong Ouyang, Bin Wang |
| 2019 | Finding Optimal Solutions in HTN Planning - A SAT-based Approach. Gregor Behnke, Daniel Höller, Susanne Biundo |
| 2019 | Finding Statistically Significant Interactions between Continuous Features. Mahito Sugiyama, Karsten M. Borgwardt |
| 2019 | Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu |
| 2019 | FireCast: Leveraging Deep Learning to Predict Wildfire Spread. David Radke, Anna Hessler, Dan Ellsworth |
| 2019 | Flexible Multi-View Representation Learning for Subspace Clustering. Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang |
| 2019 | Flexible Representative Democracy: An Introduction with Binary Issues. Ben Abramowitz, Nicholas Mattei |
| 2019 | From Data to Knowledge Engineering for Cybersecurity. Gerardo I. Simari |
| 2019 | From Statistical Transportability to Estimating the Effect of Stochastic Interventions. Juan D. Correa, Elias Bareinboim |
| 2019 | From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots. Shizhe Chen, Qin Jin, Jianlong Fu |
| 2019 | Fully Distributed Bayesian Optimization with Stochastic Policies. Javier Garcia-Barcos, Ruben Martinez-Cantin |
| 2019 | GAN-EM: GAN Based EM Learning Framework. Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu |
| 2019 | GANAK: A Scalable Probabilistic Exact Model Counter. Shubham Sharma, Subhajit Roy, Mate Soos, Kuldeep S. Meel |
| 2019 | GANs for Semi-Supervised Opinion Spam Detection. Gray Stanton, Athirai Aravazhi Irissappane |
| 2019 | GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. Ziyao Li, Liang Zhang, Guojie Song |
| 2019 | GSN: A Graph-Structured Network for Multi-Party Dialogues. Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan |
| 2019 | GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction. Shen Fang, Qi Zhang, Gaofeng Meng, Shiming Xiang, Chunhong Pan |
| 2019 | Generalized Majorization-Minimization for Non-Convex Optimization. Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng |
| 2019 | Generalized Potential Heuristics for Classical Planning. Guillem Francès, Augusto B. Corrêa, Cedric Geissmann, Florian Pommerening |
| 2019 | 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 |
| 2019 | Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection. Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu |
| 2019 | Generative Image Inpainting with Submanifold Alignment. Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao |
| 2019 | 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 |
| 2019 | Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism. Wei Liu, Zhi-Jie Wang, Bin Yao, Jian Yin |
| 2019 | Geometric Understanding for Unsupervised Subspace Learning. Shihui Ying, Lipeng Cai, Changzhou He, Yaxin Peng |
| 2019 | Getting in Shape: Word Embedding SubSpaces. Tianyuan Zhou, João Sedoc, Jordan Rodu |
| 2019 | Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance. Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska |
| 2019 | Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour. Andrea Aler Tubella, Andreas Theodorou, Frank Dignum, Virginia Dignum |
| 2019 | Gradient Boosting with Piece-Wise Linear Regression Trees. Yu Shi, Jian Li, Zhize Li |
| 2019 | 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 |
| 2019 | Graph Convolutional Network Hashing for Cross-Modal Retrieval. Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu |
| 2019 | Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen |
| 2019 | Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng |
| 2019 | Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation. Yasushi Kawase, Yuko Kuroki, Atsushi Miyauchi |
| 2019 | Graph Space Embedding. João P. B. Pereira, Albert K. Groen, Erik S. G. Stroes, Evgeni Levin |
| 2019 | Graph WaveNet for Deep Spatial-Temporal Graph Modeling. Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2019 | Graph and Autoencoder Based Feature Extraction for Zero-shot Learning. Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao |
| 2019 | Graph-based Neural Sentence Ordering. Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou, Jiebo Luo |
| 2019 | Graphical One-Sided Markets. Sagar Massand, Sunil Simon |
| 2019 | GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos. Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang |
| 2019 | Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning. Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben |
| 2019 | Group Reconstruction and Max-Pooling Residual Capsule Network. Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang |
| 2019 | Group-Fairness in Influence Maximization. Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick |
| 2019 | Group-based Learning of Disentangled Representations with Generalizability for Novel Contents. Haruo Hosoya |
| 2019 | Guarantees for Sound Abstractions for Generalized Planning. Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín, Daniel Borrajo |
| 2019 | HDI-Forest: Highest Density Interval Regression Forest. Lin Zhu, Jiaxing Lu, Yihong Chen |
| 2019 | HMLasso: Lasso with High Missing Rate. Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa |
| 2019 | Hallucinating Optical Flow Features for Video Classification. Yongyi Tang, Lin Ma, Lianqiang Zhou |
| 2019 | Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian |
| 2019 | Heavy-ball Algorithms Always Escape Saddle Points. Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou |
| 2019 | Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai |
| 2019 | 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 |
| 2019 | Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen |
| 2019 | Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie |
| 2019 | Hierarchical Diffusion Attention Network. Zhitao Wang, Wenjie Li |
| 2019 | Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan |
| 2019 | Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning. Bing Tian, Yong Zhang, Jin Wang, Chunxiao Xing |
| 2019 | Hierarchical Representation Learning for Bipartite Graphs. Chong Li, Kunyang Jia, Dan Shen, Chuanjin Richard Shi, Hongxia Yang |
| 2019 | High Dimensional Bayesian Optimization via Supervised Dimension Reduction. Miao Zhang, Huiqi Li, Steven W. Su |
| 2019 | 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 |
| 2019 | Hill Climbing on Value Estimates for Search-control in Dyna. Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White |
| 2019 | Hintikka's World: Scalable Higher-order Knowledge. Tristan Charrier, Sébastien Gamblin, Alexandre Niveau, François Schwarzentruber |
| 2019 | HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning. Shiyang Yan, Jun Xu, Yuai Liu, Lin Xu |
| 2019 | How Hard Is the Manipulative Design of Scoring Systems?. Dorothea Baumeister, Tobias Hogrebe |
| 2019 | How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset. Yusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, Yi Zhou |
| 2019 | How to Handle Missing Values in Multi-Criteria Decision Aiding?. Christophe Labreuche, Sébastien Destercke |
| 2019 | How to Tame Your Anticipatory Algorithm. Allegra De Filippo, Michele Lombardi, Michela Milano |
| 2019 | Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. Homayun Afrabandpey, Tomi Peltola, Samuel Kaski |
| 2019 | Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. Zhou Fan, Rui Su, Weinan Zhang, Yong Yu |
| 2019 | Hybrid Item-Item Recommendation via Semi-Parametric Embedding. Peng Hu, Rong Du, Yao Hu, Nan Li |
| 2019 | Hyper-parameter Tuning under a Budget Constraint. Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha |
| 2019 | Hypergraph Induced Convolutional Manifold Networks. Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji |
| 2019 | IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation. Kangle Deng, Tianyi Fei, Xin Huang, Yuxin Peng |
| 2019 | ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang |
| 2019 | Identifying vulnerabilities in trust and reputation systems. Taha D. Günes, Long Tran-Thanh, Timothy J. Norman |
| 2019 | Image Captioning with Compositional Neural Module Networks. Junjiao Tian, Jean Oh |
| 2019 | Image-to-Image Translation with Multi-Path Consistency Regularization. Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen |
| 2019 | Imitation Learning from Video by Leveraging Proprioception. Faraz Torabi, Garrett Warnell, Peter Stone |
| 2019 | Imitative Attacker Deception in Stackelberg Security Games. Thanh Nguyen, Haifeng Xu |
| 2019 | Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems. Benedikt Loepp, Tim Donkers, Timm Kleemann, Jürgen Ziegler |
| 2019 | Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract). Bernhard Nebel, Thomas Bolander, Thorsten Engesser, Robert Mattmüller |
| 2019 | Improved Algorithm on Online Clustering of Bandits. Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung |
| 2019 | Improved Heuristics for Multi-Agent Path Finding with Conflict-Based Search. Jiaoyang Li, Ariel Felner, Eli Boyarski, Hang Ma, Sven Koenig |
| 2019 | Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control. Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou |
| 2019 | Improving Cross-lingual Entity Alignment via Optimal Transport. Shichao Pei, Lu Yu, Xiangliang Zhang |
| 2019 | Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet |
| 2019 | Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau |
| 2019 | 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 |
| 2019 | Improving Nash Social Welfare Approximations. Jugal Garg, Peter McGlaughlin |
| 2019 | Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. Sheng Qian, Guanyue Li, Wen-ming Cao, Cheng Liu, Si Wu, Hau-San Wong |
| 2019 | Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss. Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang |
| 2019 | Incorporating Structural Information for Better Coreference Resolution. Fang Kong, Jian Fu |
| 2019 | Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression. Nadjet Bourdache, Patrice Perny, Olivier Spanjaard |
| 2019 | Incremental Few-Shot Learning for Pedestrian Attribute Recognition. Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li |
| 2019 | Incremental Learning of Planning Actions in Model-Based Reinforcement Learning. Jun Hao Alvin Ng, Ronald P. A. Petrick |
| 2019 | Indirect Trust is Simple to Establish. Elham Parhizkar, Mohammad Hossein Nikravan, Sandra Zilles |
| 2019 | Inferring Substitutable Products with Deep Network Embedding. Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen |
| 2019 | Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning. Alberto Castellini, Georgios Chalkiadakis, Alessandro Farinelli |
| 2019 | Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty. Minglong Li, Wenjing Yang, Zhongxuan Cai, Shaowu Yang, Ji Wang |
| 2019 | Integrating Knowledge and Reasoning in Image Understanding. Somak Aditya, Yezhou Yang, Chitta Baral |
| 2019 | Integrating Learning with Game Theory for Societal Challenges. Fei Fang |
| 2019 | Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary Algorithms. Miguel Terra-Neves, Inês Lynce, Vasco Manquinho |
| 2019 | Intelligent Agent for Assessing and Guiding Rehabilitation Exercises. Min Hun Lee |
| 2019 | Intelligent Decision Support for Improving Power Management. Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao |
| 2019 | Intelligent Querying in Camera Networks for Efficient Target Tracking. Anil Sharma |
| 2019 | Inter-node Hellinger Distance based Decision Tree. Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib |
| 2019 | InterSpot: Interactive Spammer Detection in Social Media. Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu |
| 2019 | InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction. Xiaowang Zhang, Qiang Gao, Zhiyong Feng |
| 2019 | Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations. Zhaodong Wang, Matthew E. Taylor |
| 2019 | Interactive Teaching Algorithms for Inverse Reinforcement Learning. Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla |
| 2019 | Interpolation Consistency Training for Semi-supervised Learning. Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz |
| 2019 | Interpreting and Evaluating Neural Network Robustness. Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen |
| 2019 | Iterative Budgeted Exponential Search. Malte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant |
| 2019 | Joint Link Prediction and Network Alignment via Cross-graph Embedding. Xingbo Du, Junchi Yan, Hongyuan Zha |
| 2019 | K-Core Maximization: An Edge Addition Approach. Zhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang, Chen Chen |
| 2019 | K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie |
| 2019 | KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network. Linghua Zeng, Zhangcheng Wang, Xinmei Tian |
| 2019 | KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network. Donghyeon Park, Keonwoo Kim, Yonggyu Park, Jungwoon Shin, Jaewoo Kang |
| 2019 | Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song |
| 2019 | Knowledge Aware Semantic Concept Expansion for Image-Text Matching. Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan |
| 2019 | Knowledge Base Question Answering with Topic Units. Yunshi Lan, Shuohang Wang, Jing Jiang |
| 2019 | Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen |
| 2019 | Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling. Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun |
| 2019 | LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning. Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Mengran Gou |
| 2019 | 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 |
| 2019 | Label Distribution Learning with Label Correlations via Low-Rank Approximation. TingTing Ren, Xiuyi Jia, Weiwei Li, Shu Zhao |
| 2019 | Label distribution learning with label-specific features. TingTing Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li |
| 2019 | Landmark Selection for Zero-shot Learning. Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai |
| 2019 | Large Scale Evolving Graphs with Burst Detection. Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang |
| 2019 | Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu |
| 2019 | Latent Distribution Preserving Deep Subspace Clustering. Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock |
| 2019 | Latent Semantics Encoding for Label Distribution Learning. Suping Xu, Lin Shang, Furao Shen |
| 2019 | Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions. Alberto Marchesi, Matteo Castiglioni, Nicola Gatti |
| 2019 | Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization. Ting Huang, Gehui Shen, Zhi-Hong Deng |
| 2019 | Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples. Ariyam Das, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang, Carlo Zaniolo |
| 2019 | Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis. Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang |
| 2019 | Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction. Yue Deng, Yilin Shen, Hongxia Jin |
| 2019 | Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game. Peixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang |
| 2019 | Learning Description Logic Concepts: When can Positive and Negative Examples be Separated?. Maurice Funk, Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter |
| 2019 | Learning Disentangled Semantic Representation for Domain Adaptation. Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao |
| 2019 | Learning Generative Adversarial Networks from Multiple Data Sources. Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung |
| 2019 | Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer. James R. Kirk, John E. Laird |
| 2019 | Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation. Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu |
| 2019 | Learning Instance-wise Sparsity for Accelerating Deep Models. Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu |
| 2019 | Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin |
| 2019 | Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields. Yue Zhang, Arti Ramesh |
| 2019 | Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval. Xiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang |
| 2019 | Learning Low-precision Neural Networks without Straight-Through Estimator (STE). Zhi Gang Liu, Matthew Mattina |
| 2019 | Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum |
| 2019 | Learning Multiple Maps from Conditional Ordinal Triplets. Dung D. Le, Hady W. Lauw |
| 2019 | Learning Network Embedding with Community Structural Information. Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang |
| 2019 | Learning Relational Representations with Auto-encoding Logic Programs. Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel |
| 2019 | Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie |
| 2019 | Learning Semantic Annotations for Tabular Data. Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton |
| 2019 | Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks. Seungwon Lee, James Stokes, Eric Eaton |
| 2019 | Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation. Yanan Xu, Yanmin Zhu, Yanyan Shen, Jiadi Yu |
| 2019 | Learning Sound Events from Webly Labeled Data. Anurag Kumar, Ankit Shah, Alexander G. Hauptmann, Bhiksha Raj |
| 2019 | Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method. Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie |
| 2019 | Learning Swarm Behaviors using Grammatical Evolution and Behavior Trees. Aadesh Neupane, Michael A. Goodrich |
| 2019 | Learning Task-Specific Representation for Novel Words in Sequence Labeling. Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang |
| 2019 | Learning Topic Models by Neighborhood Aggregation. Ryohei Hisano |
| 2019 | Learning Unsupervised Visual Grounding Through Semantic Self-Supervision. Syed Ashar Javed, Shreyas Saxena, Vineet Gandhi |
| 2019 | Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators. Han Xu, Pengwei Liang, Wei Yu, Junjun Jiang, Jiayi Ma |
| 2019 | Learning and Inference for Structured Prediction: A Unifying Perspective. Aryan Deshwal, Janardhan Rao Doppa, Dan Roth |
| 2019 | Learning for Tail Label Data: A Label-Specific Feature Approach. Tong Wei, Wei-Wei Tu, Yufeng Li |
| 2019 | Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract). Pierre Baldi, Peter J. Sadowski, Zhiqin Lu |
| 2019 | Learning to Draw Text in Natural Images with Conditional Adversarial Networks. Shancheng Fang, Hongtao Xie, Jianjun Chen, Jianlong Tan, Yongdong Zhang |
| 2019 | Learning to Interpret Satellite Images using Wikipedia. Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2019 | Learning to Learn Gradient Aggregation by Gradient Descent. Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li |
| 2019 | Learning to Select Knowledge for Response Generation in Dialog Systems. Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu |
| 2019 | Learning towards Abstractive Timeline Summarization. Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan |
| 2019 | Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network. Wenmian Yang, Weijia Jia, Xiaojie Zhou, Yutao Luo |
| 2019 | Leveraging Human Guidance for Deep Reinforcement Learning Tasks. Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone |
| 2019 | Lifted Message Passing for Hybrid Probabilistic Inference. Yuqiao Chen, Nicholas Ruozzi, Sriraam Natarajan |
| 2019 | Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen |
| 2019 | Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. Xiaosheng Li, Jessica Lin, Liang Zhao |
| 2019 | Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang |
| 2019 | Localizing Unseen Activities in Video via Image Query. Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai |
| 2019 | Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural Networks. Tianlong Liu, Yu Qi, Liang Shi, Jianan Yan |
| 2019 | 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 |
| 2019 | Low Shot Box Correction for Weakly Supervised Object Detection. Tianxiang Pan, Bin Wang, Guiguang Ding, Jungong Han, Jun-Hai Yong |
| 2019 | Low-Bit Quantization for Attributed Network Representation Learning. Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang |
| 2019 | Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation. Di Wang, Jinhui Xu |
| 2019 | MAT-Net: Medial Axis Transform Network for 3D Object Recognition. Jianwei Hu, Bin Wang, Lihui Qian, Yiling Pan, Xiaohu Guo, Lingjie Liu, Wenping Wang |
| 2019 | MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar |
| 2019 | MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao |
| 2019 | MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction. Zhi Qiao, Xian Wu, Shen Ge, Wei Fan |
| 2019 | MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions. Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao |
| 2019 | MSR: Multi-Scale Shape Regression for Scene Text Detection. Chuhui Xue, Shijian Lu, Wei Zhang |
| 2019 | MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting. Ning Wang, Jingyuan Li, Lefei Zhang, Bo Du |
| 2019 | Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination. Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He |
| 2019 | Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao |
| 2019 | Marginal Posterior Sampling for Slate Bandits. Maria Dimakopoulou, Nikos Vlassis, Tony Jebara |
| 2019 | Mask and Infill: Applying Masked Language Model for Sentiment Transfer. Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu |
| 2019 | Masked Graph Convolutional Network. Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo |
| 2019 | Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng |
| 2019 | Matching with Constraints. Zhaohong Sun |
| 2019 | Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh |
| 2019 | Maximin-Aware Allocations of Indivisible Goods. Hau Chan, Jing Chen, Bo Li, Xiaowei Wu |
| 2019 | Measuring Structural Similarities in Finite MDPs. Hao Wang, Shaokang Dong, Ling Shao |
| 2019 | Measuring the Likelihood of Numerical Constraints. Marco Console, Matthias F. J. Hofer, Leonid Libkin |
| 2019 | Medical Concept Embedding with Multiple Ontological Representations. Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon |
| 2019 | Medical Concept Representation Learning from Multi-source Data. Tian Bai, Brian L. Egleston, Richard Bleicher, Slobodan Vucetic |
| 2019 | Merge-and-Shrink Task Reformulation for Classical Planning. Álvaro Torralba, Silvan Sievers |
| 2019 | Meta Reinforcement Learning with Task Embedding and Shared Policy. Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang |
| 2019 | Meta-Interpretive Learning Using HEX-Programs. Tobias Kaminski, Thomas Eiter, Katsumi Inoue |
| 2019 | Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings |
| 2019 | Metadata-driven Task Relation Discovery for Multi-task Learning. Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang |
| 2019 | Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control. Kenny Young, Baoxiang Wang, Matthew E. Taylor |
| 2019 | Metric Learning on Healthcare Data with Incomplete Modalities. Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang |
| 2019 | MiSC: Mixed Strategies Crowdsourcing. Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong |
| 2019 | Mindful Active Learning. Zhila Esna Ashari, Hassan Ghasemzadeh |
| 2019 | MineRL: A Large-Scale Dataset of Minecraft Demonstrations. William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov |
| 2019 | Minimizing Time-to-Rank: A Learning and Recommendation Approach. Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye |
| 2019 | Mixed-World Reasoning with Existential Rules under Active-Domain Semantics. Meghyn Bienvenu, Pierre Bourhis |
| 2019 | Model-Agnostic Adversarial Detection by Random Perturbations. Bo Huang, Yi Wang, Wei Wang |
| 2019 | Model-Based Diagnosis with Multiple Observations. Alexey Ignatiev, António Morgado, Georg Weissenbacher, João Marques-Silva |
| 2019 | Model-Free Model Reconciliation. Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati |
| 2019 | Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao |
| 2019 | Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai |
| 2019 | Modeling Source Syntax and Semantics for Neural AMR Parsing. DongLai Ge, Junhui Li, Muhua Zhu, Shoushan Li |
| 2019 | Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations. Dong Zhang, Liangqing Wu, Changlong Sun, Shoushan Li, Qiaoming Zhu, Guodong Zhou |
| 2019 | Monitoring of a Dynamic System Based on Autoencoders. Aomar Osmani, Massinissa Hamidi, Salah Bouhouche |
| 2019 | Monte Carlo Tree Search for Policy Optimization. Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer |
| 2019 | Motion Invariance in Visual Environments. Alessandro Betti, Marco Gori, Stefano Melacci |
| 2019 | Multi-Agent Path Finding on Ozobots. Roman Barták, Ivan Krasicenko, Jirí Svancara |
| 2019 | Multi-Agent Pathfinding with Continuous Time. Anton Andreychuk, Konstantin S. Yakovlev, Dor Atzmon, Roni Stern |
| 2019 | Multi-Agent Visualization for Explaining Federated Learning. Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang |
| 2019 | Multi-Class Learning using Unlabeled Samples: Theory and Algorithm. Jian Li, Yong Liu, Rong Yin, Weiping Wang |
| 2019 | Multi-Domain Sentiment Classification Based on Domain-Aware Embedding and Attention. Yitao Cai, Xiaojun Wan |
| 2019 | Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction. Yawen Zhang, Qin Lv, Duanfeng Gao, Si Shen, Robert P. Dick, Michael Hannigan, Qi Liu |
| 2019 | Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching. Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen |
| 2019 | Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition. Bing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li |
| 2019 | Multi-Objective Generalized Linear Bandits. Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang |
| 2019 | Multi-Population Congestion Games With Incomplete Information. Charlotte Roman, Paolo Turrini |
| 2019 | 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 |
| 2019 | Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora |
| 2019 | Multi-View Active Learning for Video Recommendation. Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang |
| 2019 | 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 |
| 2019 | Multi-View Multiple Clustering. Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2019 | Multi-agent Attentional Activity Recognition. Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu |
| 2019 | Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu |
| 2019 | Multi-view Clustering via Late Fusion Alignment Maximization. Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin |
| 2019 | Multi-view Knowledge Graph Embedding for Entity Alignment. Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu |
| 2019 | Multi-view Spectral Clustering Network. Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv |
| 2019 | Multiagent Decision Making and Learning in Urban Environments. Akshat Kumar |
| 2019 | Multigoal Committee Selection. Maciej Kocot, Anna Kolonko, Edith Elkind, Piotr Faliszewski, Nimrod Talmon |
| 2019 | Multiple Noisy Label Distribution Propagation for Crowdsourcing. Hao Zhang, Liangxiao Jiang, Wenqiang Xu |
| 2019 | Multiple Partitions Aligned Clustering. Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu |
| 2019 | Multiple Policy Value Monte Carlo Tree Search. Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu |
| 2019 | Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka |
| 2019 | Musical Composition Style Transfer via Disentangled Timbre Representations. Yun-Ning Hung, I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang |
| 2019 | Mutually Reinforced Spatio-Temporal Convolutional Tube for Human Action Recognition. Haoze Wu, Jiawei Liu, Zheng-Jun Zha, Zhenzhong Chen, Xiaoyan Sun |
| 2019 | Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo |
| 2019 | Network Embedding under Partial Monitoring for Evolving Networks. Yu Han, Jie Tang, Qian Chen |
| 2019 | Network Embedding with Dual Generation Tasks. Jie Liu, Na Li, Zhicheng He |
| 2019 | Network Formation under Random Attack and Probabilistic Spread. Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern |
| 2019 | Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang |
| 2019 | 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 |
| 2019 | Neural Discourse Segmentation. Jing Li |
| 2019 | Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction. Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo |
| 2019 | Neural Networks for Predicting Human Interactions in Repeated Games. Yoav Kolumbus, Gali Noti |
| 2019 | Neural News Recommendation with Attentive Multi-View Learning. Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie |
| 2019 | Neural Program Induction for KBQA Without Gold Programs or Query Annotations. Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti |
| 2019 | Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He |
| 2019 | Node Embedding over Temporal Graphs. Uriel Singer, Ido Guy, Kira Radinsky |
| 2019 | Noise-Resilient Similarity Preserving Network Embedding for Social Networks. Zhenyu Qiu, Wenbin Hu, Jia Wu, Zhongzheng Tang, Xiaohua Jia |
| 2019 | Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering. Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar, Ramtin Madani |
| 2019 | Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate. Haiwen Huang, Chang Wang, Bin Dong |
| 2019 | Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting (Extended Abstract). Kuldeep S. Meel, Aditya A. Shrotri, Moshe Y. Vardi |
| 2019 | Novel Collaborative Filtering Recommender Friendly to Privacy Protection. Jun Wang, Qiang Tang, Afonso Arriaga, Peter Y. A. Ryan |
| 2019 | 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 |
| 2019 | Object Detection based Deep Unsupervised Hashing. Rong-Cheng Tu, Xianling Mao, Bo-Si Feng, Shu-ying Yu |
| 2019 | Oblivious and Semi-Oblivious Boundedness for Existential Rules. Pierre Bourhis, Michel Leclère, Marie-Laure Mugnier, Sophie Tison, Federico Ulliana, Lily Gallois |
| 2019 | Observations on Darwiche and Pearl's Approach for Iterated Belief Revision. Theofanis I. Aravanis, Pavlos Peppas, Mary-Anne Williams |
| 2019 | 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 |
| 2019 | Omnidirectional Scene Text Detection with Sequential-free Box Discretization. Yuliang Liu, Sheng Zhang, Lianwen Jin, Lele Xie, Yaqiang Wu, Zhepeng Wang |
| 2019 | On Causal Identification under Markov Equivalence. Amin Jaber, Jiji Zhang, Elias Bareinboim |
| 2019 | On Computational Complexity of Pickup-and-Delivery Problems with Precedence Constraints or Time Windows. Xing Tan, Jimmy Xiangji Huang |
| 2019 | On Computational Tractability for Rational Verification. Julian Gutierrez, Muhammad Najib, Giuseppe Perelli, Michael J. Wooldridge |
| 2019 | On Constrained Open-World Probabilistic Databases. Tal Friedman, Guy Van den Broeck |
| 2019 | On Division Versus Saturation in Pseudo-Boolean Solving. Stephan Gocht, Jakob Nordström, Amir Yehudayoff |
| 2019 | On Finite and Unrestricted Query Entailment beyond SQ with Number Restrictions on Transitive Roles. Tomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung, Filip Murlak |
| 2019 | On Guiding Search in HTN Planning with Classical Planning Heuristics. Daniel Höller, Pascal Bercher, Gregor Behnke, Susanne Biundo |
| 2019 | On Principled Entropy Exploration in Policy Optimization. Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller |
| 2019 | On Privacy Protection of Latent Dirichlet Allocation Model Training. Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang |
| 2019 | On Retrospecting Human Dynamics with Attention. Minjing Dong, Chang Xu |
| 2019 | On Strategyproof Conference Peer Review. Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah |
| 2019 | On Succinct Encodings for the Tournament Fixing Problem. Sushmita Gupta, Saket Saurabh, Ramanujan Sridharan, Meirav Zehavi |
| 2019 | On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization. Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang |
| 2019 | On the Effectiveness of Low Frequency Perturbations. Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker |
| 2019 | On the Efficiency and Equilibria of Rich Ads. MohammadAmin Ghiasi, MohammadTaghi Hajiaghayi, Sébastien Lahaie, Hadi Yami |
| 2019 | On the Estimation of Treatment Effect with Text Covariates. Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang |
| 2019 | On the Integration of CP-nets in ASPRIN. Mario Alviano, Javier Romero, Torsten Schaub |
| 2019 | On the Problem of Assigning PhD Grants. Katarína Cechlárová, Laurent Gourvès, Julien Lesca |
| 2019 | On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract). Claudia Schulz, Francesca Toni |
| 2019 | On the Tree Representations of Dichotomous Preferences. Yongjie Yang |
| 2019 | One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks. Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song |
| 2019 | One-Shot Texture Retrieval with Global Context Metric. Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao |
| 2019 | Online Learning from Capricious Data Streams: A Generative Approach. Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu |
| 2019 | Online Probabilistic Goal Recognition over Nominal Models. Ramon Fraga Pereira, Mor Vered, Felipe Meneguzzi, Miquel Ramírez |
| 2019 | Ontology Approximation in Horn Description Logics. Anneke Bötcher, Carsten Lutz, Frank Wolter |
| 2019 | Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks. Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He |
| 2019 | OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models. Manuel Arias, Jorge Pérez-Martín, Manuel Luque, Francisco Javier Díez |
| 2019 | Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba |
| 2019 | Optimality and Nash Stability in Additive Separable Generalized Group Activity Selection Problems. Vittorio Bilò, Angelo Fanelli, Michele Flammini, Gianpiero Monaco, Luca Moscardelli |
| 2019 | Optimally Efficient Bidirectional Search. Eshed Shaham, Ariel Felner, Nathan R. Sturtevant, Jeffrey S. Rosenschein |
| 2019 | Optimizing Constraint Solving via Dynamic Programming. Shu Lin, Na Meng, Wenxin Li |
| 2019 | Optimizing Interactive Systems with Data-Driven Objectives. Ziming Li |
| 2019 | Ornstein Auto-Encoders. Youngwon Choi, Joong-Ho Won |
| 2019 | Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving. Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan |
| 2019 | Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection. Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao |
| 2019 | Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen |
| 2019 | Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization. Mehrnaz Najafi, Lifang He, Philip S. Yu |
| 2019 | PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation. Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan |
| 2019 | PI-Bully: Personalized Cyberbullying Detection with Peer Influence. Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2019 | PRoFET: Predicting the Risk of Firms from Event Transcripts. Christoph Kilian Theil, Samuel Broscheit, Heiner Stuckenschmidt |
| 2019 | Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu |
| 2019 | Parametric Manifold Learning of Gaussian Mixture Models. Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan |
| 2019 | Partial Label Learning by Semantic Difference Maximization. Lei Feng, Bo An |
| 2019 | Partial Label Learning with Unlabeled Data. Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou |
| 2019 | Partitioning Techniques in LTLf Synthesis. Lucas Martinelli Tabajara, Moshe Y. Vardi |
| 2019 | Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker |
| 2019 | Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan |
| 2019 | Path Planning with CPD Heuristics. Massimo Bono, Alfonso Emilio Gerevini, Daniel Damir Harabor, Peter J. Stuckey |
| 2019 | Pattern Selection for Optimal Classical Planning with Saturated Cost Partitioning. Jendrik Seipp |
| 2019 | Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation. Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang |
| 2019 | Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes. Mahsa Ghasemi, Ufuk Topcu |
| 2019 | Persistence Bag-of-Words for Topological Data Analysis. Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko |
| 2019 | Personal Context Recognition via Skeptical Learning. Wanyi Zhang |
| 2019 | Personalized Multimedia Item and Key Frame Recommendation. Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang |
| 2019 | Perturbed-History Exploration in Stochastic Multi-Armed Bandits. Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier |
| 2019 | Phase Transition Behavior of Cardinality and XOR Constraints. Yash Pote, Saurabh Joshi, Kuldeep S. Meel |
| 2019 | Pivotal Relationship Identification: The K-Truss Minimization Problem. Weijie Zhu, Mengqi Zhang, Chen Chen, Xiaoyang Wang, Fan Zhang, Xuemin Lin |
| 2019 | Planning for LTLf /LDLf Goals in Non-Markovian Fully Observable Nondeterministic Domains. Ronen I. Brafman, Giuseppe De Giacomo |
| 2019 | Planning with Expectation Models. Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton |
| 2019 | Play and Prune: Adaptive Filter Pruning for Deep Model Compression. Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri |
| 2019 | Playgol: Learning Programs Through Play. Andrew Cropper |
| 2019 | Playing Card-Based RTS Games with Deep Reinforcement Learning. Tianyu Liu, Zijie Zheng, Hongchang Li, Kaigui Bian, Lingyang Song |
| 2019 | Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning. Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu |
| 2019 | Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu |
| 2019 | Portioning Using Ordinal Preferences: Fairness and Efficiency. Stéphane Airiau, Haris Aziz, Ioannis Caragiannis, Justin Kruger, Jérôme Lang, Dominik Peters |
| 2019 | Pose-preserving Cross Spectral Face Hallucination. Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He |
| 2019 | Position Focused Attention Network for Image-Text Matching. Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan |
| 2019 | Positive and Unlabeled Learning with Label Disambiguation. Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong |
| 2019 | Possibilistic Games with Incomplete Information. Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi |
| 2019 | Pre-training of Graph Augmented Transformers for Medication Recommendation. Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun |
| 2019 | Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns |
| 2019 | Predicting dominance in multi-person videos. Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian |
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| 2019 | Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information. Xiaofeng Zhu |
| 2019 | Preference Elicitation and Explanation in Iterative Planning. Lindsay Sanneman |
| 2019 | Preferences Single-Peaked on a Tree: Sampling and Tree Recognition. Jakub Sliwinski, Edith Elkind |
| 2019 | Preferred Deals in General Environments. Yuan Deng, Sébastien Lahaie, Vahab S. Mirrokni |
| 2019 | Principal Component Analysis in the Local Differential Privacy Model. Di Wang, Jinhui Xu |
| 2019 | Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding. Keisuke Okumura, Manao Machida, Xavier Défago, Yasumasa Tamura |
| 2019 | Privacy-Preserving Obfuscation of Critical Infrastructure Networks. Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck |
| 2019 | 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 |
| 2019 | Privacy-aware Synthesizing for Crowdsourced Data. Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang |
| 2019 | ProNE: Fast and Scalable Network Representation Learning. Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding |
| 2019 | Probabilistic Strategy Logic. Benjamin Aminof, Marta Kwiatkowska, Bastien Maubert, Aniello Murano, Sasha Rubin |
| 2019 | Procedural Generation of Initial States of Sokoban. Dâmaris S. Bento, André Grahl Pereira, Levi H. S. Lelis |
| 2019 | Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019 Sarit Kraus |
| 2019 | Profit-driven Task Assignment in Spatial Crowdsourcing. Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng |
| 2019 | Progressive Transfer Learning for Person Re-identification. Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua |
| 2019 | Protecting Elections by Recounting Ballots. Edith Elkind, Jiarui Gan, Svetlana Obraztsova, Zinovi Rabinovich, Alexandros A. Voudouris |
| 2019 | Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin |
| 2019 | Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang |
| 2019 | Pseudo Supervised Matrix Factorization in Discriminative Subspace. Jiaqi Ma, Yipeng Zhang, Lefei Zhang, Bo Du, Dapeng Tao |
| 2019 | Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang |
| 2019 | Quality Control Attack Schemes in Crowdsourcing. Alessandro Checco, Jo Bates, Gianluca Demartini |
| 2019 | Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis. Yazhou Zhang, Qiuchi Li, Dawei Song, Peng Zhang, Panpan Wang |
| 2019 | Quaternion Collaborative Filtering for Recommendation. Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay |
| 2019 | RDPD: Rich Data Helps Poor Data via Imitation. Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | RLTM: An Efficient Neural IR Framework for Long Documents. Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu |
| 2019 | RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. Rui Xia, Mengran Zhang, Zixiang Ding |
| 2019 | Randomized Adversarial Imitation Learning for Autonomous Driving. Myungjae Shin, Joongheon Kim |
| 2019 | 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 |
| 2019 | Ranked Programming. Tjitze Rienstra |
| 2019 | Rapid Performance Gain through Active Model Reuse. Feng Shi, Yufeng Li |
| 2019 | Rational Inference Relations from Maximal Consistent Subsets Selection. Sébastien Konieczny, Pierre Marquis, Srdjan Vesic |
| 2019 | Reachability Games in Dynamic Epistemic Logic. Bastien Maubert, Sophie Pinchinat, François Schwarzentruber |
| 2019 | Reachability and Coverage Planning for Connected Agents. Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber |
| 2019 | Reading selectively via Binary Input Gated Recurrent Unit. Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng |
| 2019 | Reagent: Converting Ordinary Webpages into Interactive Software Agents. Matthew Peveler, Jeffrey O. Kephart, Hui Su |
| 2019 | Real-Time Adversarial Attacks. Yuan Gong, Boyang Li, Christian Poellabauer, Yiyu Shi |
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| 2019 | Recent Advances in Imitation Learning from Observation. Faraz Torabi, Garrett Warnell, Peter Stone |
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| 2019 | Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring. Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar |
| 2019 | Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections. Yi Zhao, Yanyan Shen, Junjie Yao |
| 2019 | Refining Word Representations by Manifold Learning. Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, Xiaochao Fan |
| 2019 | Regarding Jump Point Search and Subgoal Graphs. Daniel Damir Harabor, Tansel Uras, Peter J. Stuckey, Sven Koenig |
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| 2019 | Regular Decision Processes: A Model for Non-Markovian Domains. Ronen I. Brafman, Giuseppe De Giacomo |
| 2019 | Reinforced Negative Sampling for Recommendation with Exposure Data. Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin |
| 2019 | Reinforcement Learning Experience Reuse with Policy Residual Representation. Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou |
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| 2019 | Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs. Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, Dongyan Zhao |
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| 2019 | Resolution-invariant Person Re-Identification. Shunan Mao, Shiliang Zhang, Ming Yang |
| 2019 | Rethinking Loss Design for Large-scale 3D Shape Retrieval. Zhaoqun Li, Cheng Xu, Biao Leng |
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| 2019 | Revisiting Controlled Query Evaluation in Description Logics. Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo |
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| 2019 | Robust Audio Adversarial Example for a Physical Attack. Hiromu Yakura, Jun Sakuma |
| 2019 | Robust Embedding with Multi-Level Structures for Link Prediction. Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu |
| 2019 | Robust Flexible Feature Selection via Exclusive L21 Regularization. Di Ming, Chris Ding |
| 2019 | Robust Learning from Noisy Side-information by Semidefinite Programming. En-Liang Hu, Quanming Yao |
| 2019 | Robust Low-Tubal-Rank Tensor Completion via Convex Optimization. Qiang Jiang, Michael Ng |
| 2019 | RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan |
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| 2019 | Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. Linyi Li, Zexuan Zhong, Bo Li, Tao Xie |
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| 2019 | SPAGAN: Shortest Path Graph Attention Network. Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao |
| 2019 | SPINE: Structural Identity Preserved Inductive Network Embedding. Junliang Guo, Linli Xu, Jingchang Liu |
| 2019 | STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King |
| 2019 | STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks. Pengjie Gu, Rong Xiao, Gang Pan, Huajin Tang |
| 2019 | STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng |
| 2019 | Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning. Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause |
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| 2019 | Scalable Bayesian Non-linear Matrix Completion. Xiangju Qin, Paul Blomstedt, Samuel Kaski |
| 2019 | Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin |
| 2019 | Scalable Semi-Supervised SVM via Triply Stochastic Gradients. Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang |
| 2019 | Scaling Fine-grained Modularity Clustering for Massive Graphs. Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa |
| 2019 | Scheduling Jobs with Stochastic Processing Time on Parallel Identical Machines. Richard Stec, Antonín Novák, Premysl Sucha, Zdenek Hanzálek |
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| 2019 | 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 |
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| 2019 | 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 |
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| 2019 | Supervised Set-to-Set Hashing in Visual Recognition. I-Hong Jhuo |
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| 2019 | Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity. Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu |
| 2019 | Unsupervised Multi-view Learning. Ling Huang |
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