| 2019 | "Bilingual Expert" Can Find Translation Errors. Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si |
| 2019 | "Reverse Gerrymandering": Manipulation in Multi-Group Decision Making. Omer Lev, Yoad Lewenberg |
| 2019 | 3D Face Synthesis Driven by Personality Impression. Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu |
| 2019 | 3D Object Detection Using Scale Invariant and Feature Reweighting Networks. Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang |
| 2019 | 3D Volumetric Modeling with Introspective Neural Networks. Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu |
| 2019 | A Bandit Approach to Maximum Inner Product Search. Rui Liu, Tianyi Wu, Barzan Mozafari |
| 2019 | A Better Algorithm for Societal Tradeoffs. Hanrui Zhang, Yu Cheng, Vincent Conitzer |
| 2019 | A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification. Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang |
| 2019 | A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata |
| 2019 | A Comparative Analysis of Expected and Distributional Reinforcement Learning. Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro |
| 2019 | A Deep Cascade Model for Multi-Document Reading Comprehension. Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen |
| 2019 | A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla |
| 2019 | A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System. Yu Wang, Hongxia Jin |
| 2019 | A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang |
| 2019 | A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. Zhouxing Shi, Minlie Huang |
| 2019 | A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. Maggie Makar, Adith Swaminathan, Emre Kiciman |
| 2019 | A Domain Generalization Perspective on Listwise Context Modeling. Lin Zhu, Yihong Chen, Bowen He |
| 2019 | A Dual Attention Network with Semantic Embedding for Few-Shot Learning. Shipeng Yan, Songyang Zhang, Xuming He |
| 2019 | A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles. Kherroubi Zine El Abidine, Samir Aknine, Bacha Rebiha |
| 2019 | A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes. Anna Paola Carrieri, Will P. M. Rowe, Martyn D. Winn, Edward O. Pyzer-Knapp |
| 2019 | A Feasibility Test on Preventing PRMDs Based on Deep Learning. So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park |
| 2019 | A Framework for Approval-Based Budgeting Methods. Nimrod Talmon, Piotr Faliszewski |
| 2019 | A Framework to Coordinate Segmentation and Recognition. Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang |
| 2019 | A Fuzzy Set Based Approach for Rating Bias. Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han |
| 2019 | A General Planning-Based Framework for Goal-Driven Conversation Assistant. Zhuoxuan Jiang, Jie Ma, Jingyi Lu, Guangyuan Yu, Yipeng Yu, Shaochun Li |
| 2019 | A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility. Changsheng Liu, Rebecca Hwa |
| 2019 | A Generalized Language Model in Tensor Space. Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song |
| 2019 | A Generative Model for Dynamic Networks with Applications. Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati |
| 2019 | A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique. Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He |
| 2019 | A Genetic Algorithm for Finding a Small and Diverse Set of Recent News Stories on a Given Subject: How We Generate AAAI's AI-Alert. Joshua Eckroth, Eric Schoen |
| 2019 | A Grammar-Based Structural CNN Decoder for Code Generation. Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang |
| 2019 | A Hierarchical Framework for Relation Extraction with Reinforcement Learning. Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang |
| 2019 | A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks. Victor Sanh, Thomas Wolf, Sebastian Ruder |
| 2019 | A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification. Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu |
| 2019 | A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks. Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu |
| 2019 | A Layer-Based Sequential Framework for Scene Generation with GANs. Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu |
| 2019 | A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management. Eric Eaton |
| 2019 | A Machine Learning Suite for Machine Components' Health-Monitoring. Ramin M. Hasani, Guodong Wang, Radu Grosu |
| 2019 | A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. Jan Karwowski, Jacek Mandziuk, Adam Zychowski, Filip Grajek, Bo An |
| 2019 | A Meta-Learning Approach for Custom Model Training. Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram |
| 2019 | A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education. Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal |
| 2019 | A Monte Carlo Tree Search Player for Birds of a Feather Solitaire. Christian Roberson, Katarina Sperduto |
| 2019 | A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation. Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang |
| 2019 | A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset. Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen |
| 2019 | A Multi-Task Learning Framework for Abstractive Text Summarization. Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel |
| 2019 | A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context. Takuma Udagawa, Akiko Aizawa |
| 2019 | A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang |
| 2019 | A Neural Network Approach for Birds of a Feather Solvability Prediction. Benjamin Sang, Sejong Yoon |
| 2019 | A Neural Network Approach to Verb Phrase Ellipsis Resolution. Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu |
| 2019 | A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen |
| 2019 | A Non-Convex Optimization Approach to Correlation Clustering. Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi |
| 2019 | A Nonconvex Projection Method for Robust PCA. Aritra Dutta, Filip Hanzely, Peter Richtárik |
| 2019 | A Novel Framework for Robustness Analysis of Visual QA Models. Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem |
| 2019 | A PAC Framework for Aggregating Agents' Judgments. Hanrui Zhang, Vincent Conitzer |
| 2019 | A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving. Christoph Scholl, Jie-Hong Roland Jiang, Ralf Wimmer, Aile Ge-Ernst |
| 2019 | A Pattern-Based Approach to Recognizing Time Expressions. Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu |
| 2019 | A Powerful Global Test Statistic for Functional Statistical Inference. Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu |
| 2019 | A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming. Yuanlin Zhang, Jianlan Wang, Fox Bolduc, William G. Murray, Wendy Staffen |
| 2019 | A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. Di Ming, Chris Ding, Feiping Nie |
| 2019 | A Radical-Aware Attention-Based Model for Chinese Text Classification. Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu |
| 2019 | A Recursive Algorithm for Projected Model Counting. Jean-Marie Lagniez, Pierre Marquis |
| 2019 | A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess |
| 2019 | A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples. Curtis Bright, Dragomir Z. Ðokovic, Ilias S. Kotsireas, Vijay Ganesh |
| 2019 | A Sequential Set Generation Method for Predicting Set-Valued Outputs. Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock |
| 2019 | A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression. Shusen Wang |
| 2019 | A Study of Educational Data Mining: Evidence from a Thai University. Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee |
| 2019 | A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation. Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge |
| 2019 | A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI. Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo |
| 2019 | A Theory of State Abstraction for Reinforcement Learning. David Abel |
| 2019 | A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection. Penghui Wei, Wenji Mao, Guandan Chen |
| 2019 | A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem. Junwen Ding, Zhipeng Lü, Chu-Min Li, Liji Shen, Liping Xu, Fred W. Glover |
| 2019 | A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels. Shaobo Min, Xuejin Chen, Zheng-Jun Zha, Feng Wu, Yongdong Zhang |
| 2019 | A Unified Approach to Online Matching with Conflict-Aware Constraints. Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas |
| 2019 | A Unified Framework for Planning in Adversarial and Cooperative Environments. Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati |
| 2019 | A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. Xin Li, Lidong Bing, Piji Li, Wai Lam |
| 2019 | A Whole New Ball Game: Harvesting Game Data for Player Profiling. Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua |
| 2019 | A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes. Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang |
| 2019 | ABox Abduction via Forgetting in ALC. Warren Del-Pinto, Renate A. Schmidt |
| 2019 | ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search. Shangtong Zhang, Hengshuai Yao |
| 2019 | ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition. Yuan Yuan, Zhitong Xiong, Qi Wang |
| 2019 | AFS: An Attention-Based Mechanism for Supervised Feature Selection. Ning Gui, Danni Ge, Ziyin Hu |
| 2019 | AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches. Nan Cao, Xin Yan, Yang Shi, Chaoran Chen |
| 2019 | APRP: An Anonymous Propagation Method in Bitcoin Network. Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang |
| 2019 | ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi |
| 2019 | ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy |
| 2019 | AVS-Net: Automatic Visual Surveillance Using Relation Network. Sein Jang, Young-Ho Park, Aziz Nasridinov |
| 2019 | Abduction-Based Explanations for Machine Learning Models. Alexey Ignatiev, Nina Narodytska, João Marques-Silva |
| 2019 | Abstracting Causal Models. Sander Beckers, Joseph Y. Halpern |
| 2019 | Abstractive Summarization: A Survey of the State of the Art. Hui Lin, Vincent Ng |
| 2019 | Abstractive Text Summarization by Incorporating Reader Comments. Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan |
| 2019 | Academic Reader: An Interactive Question Answering System on Academic Literatures. Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang |
| 2019 | Accurate and Interpretable Factorization Machines. Liang Lan, Yu Geng |
| 2019 | Acting and Planning Using Operational Models. Sunandita Patra, Malik Ghallab, Dana S. Nau, Paolo Traverso |
| 2019 | Action Knowledge Transfer for Action Prediction with Partial Videos. Yijun Cai, Haoxin Li, Jianfang Hu, Wei-Shi Zheng |
| 2019 | Active Generative Adversarial Network for Image Classification. Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami |
| 2019 | Active Learning of Multi-Class Classification Models from Ordered Class Sets. Yanbing Xue, Milos Hauskrecht |
| 2019 | Active Mini-Batch Sampling Using Repulsive Point Processes. Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi |
| 2019 | Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem. Nadjet Bourdache, Patrice Perny |
| 2019 | Active Sampling for Open-Set Classification without Initial Annotation. Zhao-Yang Liu, Sheng-Jun Huang |
| 2019 | ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering. Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao |
| 2019 | Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise. Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas S. Huang |
| 2019 | Adapting Translation Models for Transcript Disfluency Detection. Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu |
| 2019 | Adaptive Modeling for Risk-Aware Decision Making. Sandhya Saisubramanian |
| 2019 | Adaptive Optimization Framework for Control of Multi-Agent Systems. Anna Lukina |
| 2019 | Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks. Christopher K. Fourie |
| 2019 | Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng |
| 2019 | Adaptive Region Embedding for Text Classification. Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding |
| 2019 | Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang |
| 2019 | Adding Constraints to Bayesian Inverse Problems. Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden |
| 2019 | Addressing the Under-Translation Problem from the Entropy Perspective. Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu |
| 2019 | Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience. Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez |
| 2019 | Adversarial Binary Collaborative Filtering for Implicit Feedback. Haoyu Wang, Nan Shao, Defu Lian |
| 2019 | Adversarial Dropout for Recurrent Neural Networks. Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon |
| 2019 | Adversarial Framing for Image and Video Classification. Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro |
| 2019 | Adversarial Label Learning. Chidubem Arachie, Bert Huang |
| 2019 | Adversarial Learning for Weakly-Supervised Social Network Alignment. Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li |
| 2019 | Adversarial Learning of Semantic Relevance in Text to Image Synthesis. Miriam Cha, Youngjune L. Gwon, H. T. Kung |
| 2019 | Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles |
| 2019 | Adversarial Unsupervised Representation Learning for Activity Time-Series. Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava |
| 2019 | AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction. Tianle Ma, Aidong Zhang |
| 2019 | Algorithms for Average Regret Minimization. Sabine Storandt, Stefan Funke |
| 2019 | Algorithms for Estimating Trends in Global Temperature Volatility. Arash Khodadadi, Daniel J. McDonald |
| 2019 | Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. Yongchun Zhu, Fuzhen Zhuang, Deqing Wang |
| 2019 | Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. Amanda R. Kube, Sanmay Das, Patrick J. Fowler |
| 2019 | Allocating Planning Effort When Actions Expire. Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon Eyal Shimony |
| 2019 | Almost Unsupervised Learning for Dense Crowd Counting. Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu |
| 2019 | Amalgamating Knowledge towards Comprehensive Classification. Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song |
| 2019 | Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines. Nicholas McCarthy, Mohammad Karzand, Freddy Lécué |
| 2019 | An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information. Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone |
| 2019 | An Adaptive Framework for Conversational Question Answering. Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng |
| 2019 | An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss. Peixiang Zhong, Di Wang, Chunyan Miao |
| 2019 | An Efficient Approach to Informative Feature Extraction from Multimodal Data. Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang |
| 2019 | An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression. Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo |
| 2019 | An Equivalence between Wagering and Fair-Division Mechanisms. Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan |
| 2019 | An Exponential Tail Bound for the Deleted Estimate. Karim T. Abou-Moustafa, Csaba Szepesvári |
| 2019 | An Imperfect Algorithm for Coalition Structure Generation. Narayan Changder, Samir Aknine, Animesh Dutta |
| 2019 | An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search. Thomas Weise, Zijun Wu, Markus Wagner |
| 2019 | An Improved Hierarchical Datastructure for Nearest Neighbor Search. Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin |
| 2019 | An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria. Michail Fasoulakis, Evangelos Markakis |
| 2019 | An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem. Riccardo Rasconi, Angelo Oddi |
| 2019 | An Integral Tag Recommendation Model for Textual Content. Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu |
| 2019 | An Integrative Framework for Artificial Intelligence Education. Pat Langley |
| 2019 | An Open-World Extension to Knowledge Graph Completion Models. Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait |
| 2019 | An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang |
| 2019 | An SVM-Based Framework for Long-Term Learning Systems. Diana Benavides Prado |
| 2019 | Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs. Holger Schwenk, Douwe Kiela, Matthijs Douze |
| 2019 | Analyzing Compositionality-Sensitivity of NLI Models. Yixin Nie, Yicheng Wang, Mohit Bansal |
| 2019 | Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering. Jun Guo, Jiahui Ye |
| 2019 | Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval. Zhaoqun Li, Cheng Xu, Biao Leng |
| 2019 | Anomaly Detection Using Autoencoders in High Performance Computing Systems. Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini |
| 2019 | Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks. Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun |
| 2019 | Antonym-Synonym Classification Based on New Sub-Space Embeddings. Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao |
| 2019 | Anytime Recursive Best-First Search for Bounding Marginal MAP. Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler |
| 2019 | Approximate Inference of Outcomes in Probabilistic Elections. Batya Kenig, Benny Kimelfeld |
| 2019 | Approximate Kernel Selection with Strong Approximate Consistency. Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao |
| 2019 | Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty. Daniel de Leng, Fredrik Heintz |
| 2019 | Approximation and Hardness of Shift-Bribery. Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat |
| 2019 | Argumentation for Explainable Scheduling. Kristijonas Cyras, Dimitrios Letsios, Ruth Misener, Francesca Toni |
| 2019 | Artificial Counselor System for Stock Investment. Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley |
| 2019 | Artificial Intelligence Competencies for Data Science Undergraduate Curricula. Andrea Danyluk, Scott Buck |
| 2019 | Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. Ehsan Kazemi, Liqiang Wang |
| 2019 | Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems. Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong |
| 2019 | Attacking Data Transforming Learners at Training Time. Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein |
| 2019 | Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan |
| 2019 | Attention Guided Imitation Learning and Reinforcement Learning. Ruohan Zhang |
| 2019 | Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition. Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan |
| 2019 | Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation. Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek |
| 2019 | Attentive Temporal Pyramid Network for Dynamic Scene Classification. Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han |
| 2019 | Attentive Tensor Product Learning. Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He |
| 2019 | Augmenting Markov Decision Processes with Advising. Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib |
| 2019 | AutoSense Model for Word Sense Induction. Reinald Kim Amplayo, Seung-won Hwang, Min Song |
| 2019 | AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng |
| 2019 | Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI. Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara |
| 2019 | Automated Rule Base Completion as Bayesian Concept Induction. Zied Bouraoui, Steven Schockaert |
| 2019 | Automated Verification of Social Laws for Continuous Time Multi-Robot Systems. Ronen Nir, Erez Karpas |
| 2019 | Automatic Bayesian Density Analysis. Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera |
| 2019 | Automatic Code Review by Learning the Revision of Source Code. Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo |
| 2019 | Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. Shengcai Liu, Ke Tang, Xin Yao |
| 2019 | Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes |
| 2019 | Automatic Generation of Chinese Short Product Titles for Mobile Display. Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan |
| 2019 | Automatic Generation of Leveled Visual Assessments for Young Learners. Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey, Mohit Jain |
| 2019 | Automating Analysis and Feedback to Improve Mathematics Teachers' Classroom Discourse. Abhijit Suresh, Tamara Sumner, Jennifer Jacobs, Bill Foland, Wayne H. Ward |
| 2019 | Axiomatic Characterization of Data-Driven Influence Measures for Classification. Jakub Sliwinski, Martin Strobel, Yair Zick |
| 2019 | BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting. Mate Soos, Kuldeep S. Meel |
| 2019 | BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord |
| 2019 | Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification. Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi |
| 2019 | Balanced Linear Contextual Bandits. Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens |
| 2019 | Balanced Sparsity for Efficient DNN Inference on GPU. Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie |
| 2019 | Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity. John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu |
| 2019 | Bayesian Deep Collaborative Matrix Factorization. Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng |
| 2019 | Bayesian Execution Skill Estimation. Christopher Archibald, Delma Nieves-Rivera |
| 2019 | Bayesian Fairness. Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic |
| 2019 | Bayesian Functional Optimisation with Shape Prior. Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh |
| 2019 | Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay |
| 2019 | Bayesian Posterior Approximation via Greedy Particle Optimization. Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama |
| 2019 | Be Inaccurate but Don't Be Indecisive: How Error Distribution Can Affect User Experience. Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis |
| 2019 | Belief Change and Non-Monotonic Reasoning Sans Compactness. Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann |
| 2019 | Better Fine-Tuning via Instance Weighting for Text Classification. Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu |
| 2019 | Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering. Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan |
| 2019 | Beyond Speech: Generalizing D-Vectors for Biometric Verification. Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright |
| 2019 | Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions. Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei |
| 2019 | BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu |
| 2019 | Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. Di Chen, Carla P. Gomes |
| 2019 | Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. Simon Luo, Mahito Sugiyama |
| 2019 | Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi |
| 2019 | Bidirectional Transition-Based Dependency Parsing. Yunzhe Yuan, Yong Jiang, Kewei Tu |
| 2019 | Binary Classifier Inspired by Quantum Theory. Prayag Tiwari, Massimo Melucci |
| 2019 | Biologically Motivated Algorithms for Propagating Local Target Representations. Alexander G. Ororbia II, Ankur Mali |
| 2019 | Biomedical Image Segmentation via Representative Annotation. Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen |
| 2019 | Blameworthiness in Multi-Agent Settings. Meir Friedenberg, Joseph Y. Halpern |
| 2019 | Blameworthiness in Strategic Games. Pavel Naumov, Jia Tao |
| 2019 | Block Belief Propagation for Parameter Learning in Markov Random Fields. You Lu, Zhiyuan Liu, Bert Huang |
| 2019 | Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. Wenzhen Huang, Junge Zhang, Kaiqi Huang |
| 2019 | Bootstrapping Conversational Agents with Weak Supervision. Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor |
| 2019 | Borda Count in Collective Decision Making: A Summary of Recent Results. Jörg Rothe |
| 2019 | Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems. Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo |
| 2019 | Bounding Uncertainty for Active Batch Selection. Hanmo Wang, Runwu Zhou, Yi-Dong Shen |
| 2019 | Bringing Order to Chaos - A Compact Representation of Partial Order in SAT-Based HTN Planning. Gregor Behnke, Daniel Höller, Susanne Biundo |
| 2019 | Building Causal Graphs from Medical Literature and Electronic Medical Records. Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky |
| 2019 | Building Ethically Bounded AI. Francesca Rossi, Nicholas Mattei |
| 2019 | Building Human-Machine Trust via Interpretability. Umang Bhatt, Pradeep Ravikumar, José M. F. Moura |
| 2019 | Building Trust in Deep Learning System towards Automated Disease Detection. Zhan Wei Lim, Mong-Li Lee, Wynne Hsu, Tien Yin Wong |
| 2019 | Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization. Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama |
| 2019 | CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features. Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang |
| 2019 | CAMO: A Collaborative Ranking Method for Content Based Recommendation. Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen |
| 2019 | CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu |
| 2019 | CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li |
| 2019 | CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting. Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu |
| 2019 | CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel |
| 2019 | COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych |
| 2019 | CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification. Ameer Dharamshi, Rosie Yuyan Zou |
| 2019 | Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann |
| 2019 | Capacity Control of ReLU Neural Networks by Basis-Path Norm. Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu |
| 2019 | Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi |
| 2019 | Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees. Alexander Bagnall, Gordon Stewart |
| 2019 | Challenges in the Automatic Analysis of Students' Diagnostic Reasoning. Claudia Schulz, Christian M. Meyer, Iryna Gurevych |
| 2019 | Character n-Gram Embeddings to Improve RNN Language Models. Sho Takase, Jun Suzuki, Masaaki Nagata |
| 2019 | Character-Level Language Modeling with Deeper Self-Attention. Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones |
| 2019 | CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng |
| 2019 | Chinese NER with Height-Limited Constituent Parsing. Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan |
| 2019 | CircConv: A Structured Convolution with Low Complexity. Siyu Liao, Bo Yuan |
| 2019 | Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation. Daniel Anderson, Gregor Hendel, Pierre Le Bodic, Merlin Viernickel |
| 2019 | Classification with Costly Features Using Deep Reinforcement Learning. Jaromír Janisch, Tomás Pevný, Viliam Lisý |
| 2019 | Classifier-Agnostic Saliency Map Extraction. Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho |
| 2019 | Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles |
| 2019 | Clipped Matrix Completion: A Remedy for Ceiling Effects. Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama |
| 2019 | ClusterGAN: Latent Space Clustering in Generative Adversarial Networks. Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan |
| 2019 | Cognitive Deficit of Deep Learning in Numerosity. Xiaolin Wu, Xi Zhang, Xiao Shu |
| 2019 | Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. Kohei Miyaguchi, Hiroshi Kajino |
| 2019 | ColNet: Embedding the Semantics of Web Tables for Column Type Prediction. Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton |
| 2019 | Collaboration Based Multi-Label Learning. Lei Feng, Bo An, Shuo He |
| 2019 | Collaborative, Dynamic and Diversified User Profiling. Shangsong Liang |
| 2019 | Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How |
| 2019 | Combined Reinforcement Learning via Abstract Representations. Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau |
| 2019 | Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki |
| 2019 | Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise. Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky |
| 2019 | Combining Fact Extraction and Verification with Neural Semantic Matching Networks. Yixin Nie, Haonan Chen, Mohit Bansal |
| 2019 | Combo-Action: Training Agent For FPS Game with Auxiliary Tasks. Shiyu Huang, Hang Su, Jun Zhu, Ting Chen |
| 2019 | CommNets: Communicating Neural Network Architectures for Resource Constrained Systems. Prince M. Abudu |
| 2019 | Communication-Efficient Stochastic Gradient MCMC for Neural Networks. Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin |
| 2019 | Communication-Optimal Distributed Dynamic Graph Clustering. Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi |
| 2019 | Community Detection in Social Networks Considering Topic Correlations. Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang |
| 2019 | Community Focusing: Yet Another Query-Dependent Community Detection. Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng |
| 2019 | Comparative Document Summarisation via Classification. Umanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie |
| 2019 | CompareLDA: A Topic Model for Document Comparison. Maksim Tkachenko, Hady W. Lauw |
| 2019 | Comparing Sample-Wise Learnability across Deep Neural Network Models. Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe |
| 2019 | Compiling Bayesian Network Classifiers into Decision Graphs. Andy Shih, Arthur Choi, Adnan Darwiche |
| 2019 | Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai |
| 2019 | Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform. Kehelwala Dewage Gayan Maduranga, Kyle E. Helfrich, Qiang Ye |
| 2019 | Complexity of Abstract Argumentation under a Claim-Centric View. Wolfgang Dvorák, Stefan Woltran |
| 2019 | Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius |
| 2019 | Composable Modular Reinforcement Learning. Christopher L. Simpkins, Charles L. Isbell Jr. |
| 2019 | Composite Binary Decomposition Networks. You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu |
| 2019 | Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu |
| 2019 | Computational Intractability and Solvability for the Birds of a Feather Game. Richard Hoshino, Max Notarangelo |
| 2019 | Computer Generation of Birds of a Feather Puzzles. Todd W. Neller, Daniel Ziegler |
| 2019 | Computing Argumentative Explanations in Bipolar Argumentation Frameworks. Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin |
| 2019 | Computing the Yolk in Spatial Voting Games without Computing Median Lines. Joachim Gudmundsson, Sampson Wong |
| 2019 | Concept Extraction and Prerequisite Relation Learning from Educational Data. Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia |
| 2019 | Concurrency Debugging with MaxSMT. Miguel Terra-Neves, Nuno Machado, Inês Lynce, Vasco Manquinho |
| 2019 | Confidence Weighted Multitask Learning. Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao |
| 2019 | Congestion Graphs for Automated Time Predictions. Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich |
| 2019 | Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen |
| 2019 | Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks. Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang |
| 2019 | Consensual Affine Transformations for Partial Valuation Aggregation. Hermann Schichl, Meinolf Sellmann |
| 2019 | Consensus Adversarial Domain Adaptation. Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos |
| 2019 | Consensus in Opinion Formation Processes in Fully Evolving Environments. Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli |
| 2019 | Constraint-Based Sequential Pattern Mining with Decision Diagrams. Amin Hosseininasab, Willem-Jan van Hoeve, André A. Ciré |
| 2019 | Context-Aware Self-Attention Networks. Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu |
| 2019 | Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation. Stéphane Martin, Boi Faltings, Vincent Schickel |
| 2019 | Contextualized Non-Local Neural Networks for Sequence Learning. Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung |
| 2019 | Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong |
| 2019 | Convergence of Learning Dynamics in Information Retrieval Games. Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz |
| 2019 | Convex Formulations for Fair Principal Component Analysis. Matt Olfat, Anil Aswani |
| 2019 | Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions. Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu |
| 2019 | Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games. Kai Li, Dong Hao |
| 2019 | Cooperative Multimodal Approach to Depression Detection in Twitter. Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen |
| 2019 | Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. Zhi-Hao Tan, Teng Zhang, Wei Wang |
| 2019 | Cost-Sensitive Learning to Rank. Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li |
| 2019 | Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding. Andrew Forney, Elias Bareinboim |
| 2019 | Counterfactual Reasoning in Observational Studies. Negar Hassanpour |
| 2019 | Counting Complexity for Reasoning in Abstract Argumentation. Johannes Klaus Fichte, Markus Hecher, Arne Meier |
| 2019 | Counting and Sampling Markov Equivalent Directed Acyclic Graphs. Topi Talvitie, Mikko Koivisto |
| 2019 | Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang |
| 2019 | Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu |
| 2019 | Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse. Kaihao Zhang, Wenhan Luo, Lin Ma, Hongdong Li |
| 2019 | Covariate Shift Adaptation on Learning from Positive and Unlabeled Data. Tomoya Sakai, Nobuyuki Shimizu |
| 2019 | Coverage Centrality Maximization in Undirected Networks. Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini |
| 2019 | Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator. Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh |
| 2019 | Crawling the Community Structure of Multiplex Networks. Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan |
| 2019 | Cross-Domain Recommendation via Coupled Factorization Machines. Lile Li, Quan Do, Wei Liu |
| 2019 | Cross-Domain Visual Representations via Unsupervised Graph Alignment. Baoyao Yang, Pong C. Yuen |
| 2019 | Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren |
| 2019 | Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang |
| 2019 | Cubic LSTMs for Video Prediction. Hehe Fan, Linchao Zhu, Yi Yang |
| 2019 | Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization. Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng |
| 2019 | CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer |
| 2019 | DAN: Deep Attention Neural Network for News Recommendation. Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo |
| 2019 | DBA: Dynamic Multi-Armed Bandit Algorithm. Sadegh Nobari |
| 2019 | DDFlow: Learning Optical Flow with Unlabeled Data Distillation. Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu |
| 2019 | DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information. Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe |
| 2019 | DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie |
| 2019 | DSINE: Deep Structural Influence Learning via Network Embedding. Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan |
| 2019 | DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. Fandong Meng, Jinchao Zhang |
| 2019 | Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank. Qian Yu, Wai Lam |
| 2019 | Data Augmentation for Spoken Language Understanding via Joint Variational Generation. Kang Min Yoo, Youhyun Shin, Sang-goo Lee |
| 2019 | Data Fine-Tuning. Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh |
| 2019 | Data-Adaptive Metric Learning with Scale Alignment. Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li |
| 2019 | Data-Distortion Guided Self-Distillation for Deep Neural Networks. Ting-Bing Xu, Cheng-Lin Liu |
| 2019 | Data-to-Text Generation with Content Selection and Planning. Ratish Puduppully, Li Dong, Mirella Lapata |
| 2019 | DeBGUer: A Tool for Bug Prediction and Diagnosis. Amir Elmishali, Roni Stern, Meir Kalech |
| 2019 | DeRPN: Taking a Further Step toward More General Object Detection. Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie |
| 2019 | Deception in Finitely Repeated Security Games. Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman |
| 2019 | Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral |
| 2019 | Deep Bayesian Optimization on Attributed Graphs. Jiaxu Cui, Bo Yang, Xia Hu |
| 2019 | Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. Naman Goel, Boi Faltings |
| 2019 | Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant. Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen |
| 2019 | Deep Convolutional Sum-Product Networks. Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira |
| 2019 | Deep Embedding Features for Salient Object Detection. Yun-Zhi Zhuge, Yu Zeng, Huchuan Lu |
| 2019 | Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. Mike Li, Elija Perrier, Chang Xu |
| 2019 | Deep Interest Evolution Network for Click-Through Rate Prediction. Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai |
| 2019 | Deep Latent Generative Models for Energy Disaggregation. Gissella Bejarano, David DeFazio, Arti Ramesh |
| 2019 | Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber |
| 2019 | Deep Metric Learning by Online Soft Mining and Class-Aware Attention. Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson |
| 2019 | Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data. Shangyu Chen, Wenya Wang, Sinno Jialin Pan |
| 2019 | Deep Neural Networks Constrained by Decision Rules. Yuzuru Okajima, Kunihiko Sadamasa |
| 2019 | Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner |
| 2019 | Deep Recurrent Survival Analysis. Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu |
| 2019 | Deep Reinforcement Learning for Green Security Games with Real-Time Information. Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang |
| 2019 | Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. Rahul Gupta, Aditya Kanade, Shirish K. Shevade |
| 2019 | Deep Reinforcement Learning via Past-Success Directed Exploration. Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang |
| 2019 | Deep Robust Unsupervised Multi-Modal Network. Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang |
| 2019 | Deep Short Text Classification with Knowledge Powered Attention. Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang |
| 2019 | Deep Single-View 3D Object Reconstruction with Visual Hull Embedding. Hanqing Wang, Jiaolong Yang, Wei Liang, Xin Tong |
| 2019 | Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. Abhay M. S. Aradhya, Aditya Joglekar, Suresh Sundaram, Mahardhika Pratama |
| 2019 | Deep Video Frame Interpolation Using Cyclic Frame Generation. Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, Yung-Yu Chuang |
| 2019 | DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval. Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao |
| 2019 | DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu |
| 2019 | DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang |
| 2019 | DeepDPM: Dynamic Population Mapping via Deep Neural Network. Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li |
| 2019 | DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System. Fan Wu, Lixia Wu |
| 2019 | DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing. Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu |
| 2019 | DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin |
| 2019 | DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval. Zhiwen Tang, Grace Hui Yang |
| 2019 | Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems. Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li |
| 2019 | Defending Elections against Malicious Spread of Misinformation. Bryan Wilder, Yevgeniy Vorobeychik |
| 2019 | Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies. Robert Platt Jr., Colin Kohler, Marcus Gualtieri |
| 2019 | Deliberate Attention Networks for Image Captioning. Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen |
| 2019 | Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors. Mirko Nava, Jérôme Guzzi, R. Omar Chavez-Garcia, Luca Maria Gambardella, Alessandro Giusti |
| 2019 | Densely Supervised Grasp Detector (DSGD). Umar Asif, Jianbin Tang, Stefan Harrer |
| 2019 | Dependency Grammar Induction with a Neural Variational Transition-Based Parser. Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller |
| 2019 | Dependency or Span, End-to-End Uniform Semantic Role Labeling. Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou |
| 2019 | Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova |
| 2019 | Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing |
| 2019 | Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. Michael Dann, Fabio Zambetta, John Thangarajah |
| 2019 | Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals. Kacper Sokol, Peter A. Flach |
| 2019 | Designing Preferences, Beliefs, and Identities for Artificial Intelligence. Vincent Conitzer |
| 2019 | Detect or Track: Towards Cost-Effective Video Object Detection/Tracking. Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng |
| 2019 | Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder. Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung |
| 2019 | Determinantal Reinforcement Learning. Takayuki Osogami, Rudy Raymond |
| 2019 | Determining Solvability in the Birds of a Feather Card Game. Shuto Araki, Juan Pablo Arenas Uribe, Zach Wilkerson, Steven Bogaerts, Chad Byers |
| 2019 | Devil in the Details: Towards Accurate Single and Multiple Human Parsing. Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao |
| 2019 | Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. Ziming Li, Julia Kiseleva, Maarten de Rijke |
| 2019 | DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria |
| 2019 | Dictionary-Guided Editing Networks for Paraphrase Generation. Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan |
| 2019 | Differential Networks for Visual Question Answering. Chenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li |
| 2019 | Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View. Di Wang, Jinhui Xu |
| 2019 | Differentiated Distribution Recovery for Neural Text Generation. Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2019 | Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen |
| 2019 | Dimension-Free Error Bounds from Random Projections. Ata Kabán |
| 2019 | Direct Training for Spiking Neural Networks: Faster, Larger, Better. Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi |
| 2019 | Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. Ximing Li, Jiaojiao Zhang, Jihong Ouyang |
| 2019 | Discovering Temporal Patterns from Insurance Interaction Data. Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora |
| 2019 | Discrete Social Recommendation. Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi |
| 2019 | Discriminative Feature Learning for Unsupervised Video Summarization. Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon |
| 2019 | Disentangled Variational Representation for Heterogeneous Face Recognition. Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun |
| 2019 | Disjoint Label Space Transfer Learning with Common Factorised Space. Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales |
| 2019 | Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability. Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen |
| 2019 | Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding. Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei |
| 2019 | Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations. Changzhi Sun, Yuanbin Wu |
| 2019 | Distributed Community Detection via Metastability of the 2-Choices Dynamics. Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca |
| 2019 | Distributed PageRank Computation: An Improved Theoretical Study. Siqiang Luo |
| 2019 | Distributed Representation of Words in Cause and Effect Spaces. Zhipeng Xie, Feiteng Mu |
| 2019 | Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo |
| 2019 | Distribution-Based Semi-Supervised Learning for Activity Recognition. Hangwei Qian, Sinno Jialin Pan, Chunyan Miao |
| 2019 | Distributional Semantics Meets Multi-Label Learning. Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai |
| 2019 | Distributionally Adversarial Attack. Tianhang Zheng, Changyou Chen, Kui Ren |
| 2019 | Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang |
| 2019 | Diverse Exploration via Conjugate Policies for Policy Gradient Methods. Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong |
| 2019 | Diversity-Driven Extensible Hierarchical Reinforcement Learning. Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu |
| 2019 | DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. Sunghwan Joo, Sungmin Cha, Taesup Moon |
| 2019 | Document Informed Neural Autoregressive Topic Models with Distributional Prior. Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze |
| 2019 | Domain Agnostic Real-Valued Specificity Prediction. Wei-Jen Ko, Greg Durrett, Junyi Jessy Li |
| 2019 | Dual Semi-Supervised Learning for Facial Action Unit Recognition. Guozhu Peng, Shangfei Wang |
| 2019 | Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai |
| 2019 | Dueling Bandits with Qualitative Feedback. Liyuan Xu, Junya Honda, Masashi Sugiyama |
| 2019 | DyS: A Framework for Mixture Models in Quantification. André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista |
| 2019 | Dynamic Capsule Attention for Visual Question Answering. Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen |
| 2019 | Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations. Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee |
| 2019 | Dynamic Contracting under Positive Commitment. Ilan Lobel, Renato Paes Leme |
| 2019 | Dynamic Explainable Recommendation Based on Neural Attentive Models. Xu Chen, Yongfeng Zhang, Zheng Qin |
| 2019 | Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang |
| 2019 | Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue. Junyu Cao, Wei Sun |
| 2019 | Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting. Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He |
| 2019 | Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System. Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho |
| 2019 | Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction. Ashwini Tonge, Cornelia Caragea |
| 2019 | EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion. Chengzhen Fu, Yan Zhang |
| 2019 | EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang |
| 2019 | EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning. Jinfu Ren, Yang Liu, Jiming Liu |
| 2019 | Early Detection of Vacant Parking Spaces Using Dashcam Videos. Ming-Che Wu, Mei-Chen Yeh |
| 2019 | Early-Stopping of Scattering Pattern Observation with Bayesian Modeling. Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji |
| 2019 | Efficient Concept Induction for Description Logics. Md. Kamruzzaman Sarker, Pascal Hitzler |
| 2019 | Efficient Counterfactual Learning from Bandit Feedback. Yusuke Narita, Shota Yasui, Kohei Yata |
| 2019 | Efficient Data Point Pruning for One-Class SVM. Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda |
| 2019 | Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation. Florian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper |
| 2019 | Efficient Identification of Approximate Best Configuration of Training in Large Datasets. Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri |
| 2019 | Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing. Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin'ichi Satoh |
| 2019 | Efficient Neutrino Oscillation Parameter Inference with Gaussian Process. Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi |
| 2019 | Efficient Online Learning for Mapping Kernels on Linguistic Structures. Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti |
| 2019 | Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines. Liat Cohen, Gera Weiss |
| 2019 | Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations. Kun Huang, Bingbing Ni, Xiaokang Yang |
| 2019 | Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li |
| 2019 | Efficient Solving of Birds of a Feather Puzzles. Todd W. Neller, Connor Berson, Jivan Kharel, Ryan Smolik |
| 2019 | Efficient Temporal Planning Using Metastates. Amanda Jane Coles, Andrew Coles, J. Christopher Beck |
| 2019 | Efficient and Effective Incomplete Multi-View Clustering. Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao |
| 2019 | Efficient and Scalable Multi-Task Regression on Massive Number of Tasks. Xiao He, Francesco Alesiani, Ammar Shaker |
| 2019 | Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich |
| 2019 | Efficiently Reasoning with Interval Constraints in Forward Search Planning. Amanda Jane Coles, Andrew Coles, Moisés Martínez, Emre Savas, Juan Manuel Delfa, Tomás de la Rosa, Yolanda E-Martín, Angel García Olaya |
| 2019 | Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm. Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi |
| 2019 | Eliminating Latent Discrimination: Train Then Mask. Soheil Ghili, Ehsan Kazemi, Amin Karbasi |
| 2019 | Embedding Uncertain Knowledge Graphs. Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo |
| 2019 | Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data. Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang |
| 2019 | Emergency Department Online Patient-Caregiver Scheduling. Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus |
| 2019 | Emergency Department Online Patient-Caregiver Scheduling. Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus |
| 2019 | End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin |
| 2019 | End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks. Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick |
| 2019 | End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou |
| 2019 | Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering. Binghui Chen, Weihong Deng |
| 2019 | Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification. Christopher Bartley, Wei Liu, Mark Reynolds |
| 2019 | Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. Xin Qiu, Risto Miikkulainen |
| 2019 | Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming. Jori Bomanson, Tomi Janhunen, Antonius Weinzierl |
| 2019 | Enriching Non-Parametric Bidirectional Search Algorithms. Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun |
| 2019 | Enriching Word Embeddings with a Regressor Instead of Labeled Corpora. Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst |
| 2019 | EnsNet: Ensconce Text in the Wild. Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai |
| 2019 | Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age. Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin Kian Loong Wong |
| 2019 | Entity Alignment between Knowledge Graphs Using Attribute Embeddings. Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang |
| 2019 | Envisioning AI for K-12: What Should Every Child Know about AI? David S. Touretzky, Christina Gardner-McCune, Fred Martin, Deborah W. Seehorn |
| 2019 | Estimating the Causal Effect from Partially Observed Time Series. Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada |
| 2019 | Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge |
| 2019 | Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang |
| 2019 | Evaluating Recommender System Stability with Influence-Guided Fuzzing. David Shriver, Sebastian G. Elbaum, Matthew B. Dwyer, David S. Rosenblum |
| 2019 | Evolution of Collective Fairness in Hybrid Populations of Humans and Agents. Fernando P. Santos, Jorge M. Pacheco, Ana Paiva, Francisco C. Santos |
| 2019 | Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao |
| 2019 | Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis. Rung-Tzuo Liaw, Chuan-Kang Ting |
| 2019 | Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games. Julian R. H. Mariño, Rubens O. Moraes, Cláudio Toledo, Levi H. S. Lelis |
| 2019 | Evolving Solutions to Community-Structured Satisfiability Formulas. Frank Neumann, Andrew M. Sutton |
| 2019 | Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt |
| 2019 | Examining Political Trustworthiness through Text-Based Measures of Ideology. Eitan Sapiro-Gheiler |
| 2019 | Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary Orbiters. Srija Chakraborty, Subhasish Das, Ayan Banerjee, Sandeep K. S. Gupta, Philip R. Christensen |
| 2019 | Explainable Reasoning over Knowledge Graphs for Recommendation. Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua |
| 2019 | Explainable Recommendation through Attentive Multi-View Learning. Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie |
| 2019 | Explainable, Normative, and Justified Agency. Pat Langley |
| 2019 | Explicit Interaction Model towards Text Classification. Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie |
| 2019 | Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh |
| 2019 | Exploiting Background Knowledge in Compact Answer Generation for Why-Questions. Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer |
| 2019 | Exploiting Class Learnability in Noisy Data. Matthew Klawonn, Eric Heim, James A. Hendler |
| 2019 | Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li |
| 2019 | Exploiting Local Feature Patterns for Unsupervised Domain Adaptation. Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan |
| 2019 | Exploiting Sentence Embedding for Medical Question Answering. Yu Hao, Xien Liu, Ji Wu, Ping Lv |
| 2019 | Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. María Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez |
| 2019 | Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. Ruobing Zheng, Ze Luo, Baoping Yan |
| 2019 | Exploiting the Contagious Effect for Employee Turnover Prediction. Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong |
| 2019 | Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection. Jian Liu, Yubo Chen, Kang Liu |
| 2019 | Exploring Answer Stance Detection with Recurrent Conditional Attention. Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin |
| 2019 | Exploring Human-Like Reading Strategy for Abstractive Text Summarization. Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen |
| 2019 | Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment. Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh |
| 2019 | Expressive Real-Time Intersection Scheduling. Rick Goldstein |
| 2019 | Extension Removal in Abstract Argumentation - An Axiomatic Approach. Ringo Baumann, Gerhard Brewka |
| 2019 | FANDA: A Novel Approach to Perform Follow-Up Query Analysis. Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang |
| 2019 | FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions. Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee |
| 2019 | FRAME Revisited: An Interpretation View Based on Particle Evolution. Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin |
| 2019 | FRIDAYS: A Financial Risk Information Detecting and Analyzing System. Chi-Han Du, Yi-Shyuan Chiang, Kun-Che Tsai, Liang-Chih Liu, Ming-Feng Tsai, Chuan-Ju Wang |
| 2019 | Fair Division with a Secretive Agent. Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi |
| 2019 | Fair Knapsack. Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker |
| 2019 | Fair and Efficient Memory Sharing: Confronting Free Riders. Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker |
| 2019 | Fairly Allocating Many Goods with Few Queries. Hoon Oh, Ariel D. Procaccia, Warut Suksompong |
| 2019 | Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel. Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri |
| 2019 | Fast Iterative Combinatorial Auctions via Bayesian Learning. Gianluca Brero, Sébastien Lahaie, Sven Seuken |
| 2019 | Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns. Behrouz Haji Soleimani, Stan Matwin |
| 2019 | Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan |
| 2019 | Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy |
| 2019 | Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang |
| 2019 | Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study. Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Shu Wei Ting, Tien Yin Wong, Mong-Li Lee, Wynne Hsu |
| 2019 | Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content. Xiaolong Gong, Linpeng Huang, Fuwei Wang |
| 2019 | Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding. Yan Huang, Yang Long, Liang Wang |
| 2019 | Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector. Yan-Ya Zhang, Ming Li |
| 2019 | Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan |
| 2019 | Finding All Bayesian Network Structures within a Factor of Optimal. Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek |
| 2019 | Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems. Juho Lauri, Sourav Dutta |
| 2019 | Forbidden Nodes Aware Community Search. Chaokun Wang, Junchao Zhu |
| 2019 | Forecasting Intra-Hour Imbalances in Electric Power Systems. Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth |
| 2019 | Forgetting in Modular Answer Set Programming. Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran |
| 2019 | Forming Probably Stable Communities with Limited Interactions. Ayumi Igarashi, Jakub Sliwinski, Yair Zick |
| 2019 | Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities. Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos |
| 2019 | Frame and Feature-Context Video Super-Resolution. Bo Yan, Chuming Lin, Weimin Tan |
| 2019 | Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning. Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun |
| 2019 | From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment. David Carral, Larry González, Patrick Koopmann |
| 2019 | From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia |
| 2019 | From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem. Trevor J. Bihl, Todd Jenkins, Chadwick Cox, Ashley DeMange, Kerry Hill, Edmund Zelnio |
| 2019 | From Recommendation Systems to Facility Location Games. Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz |
| 2019 | From Zero-Shot Learning to Cold-Start Recommendation. Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang |
| 2019 | Frontier Search and Plan Reconstruction in Oversubscription Planning. Daniel Muller |
| 2019 | Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing. Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki |
| 2019 | Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention. Kuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng, Tao Zhang, Weiguo Fan |
| 2019 | Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang |
| 2019 | Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization. Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang |
| 2019 | G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun |
| 2019 | GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | GIRNet: Interleaved Multi-Task Recurrent State Sequence Models. Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti |
| 2019 | GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Börje Karlsson |
| 2019 | GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng |
| 2019 | Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng |
| 2019 | Gaussian Transformer: A Lightweight Approach for Natural Language Inference. Maosheng Guo, Yu Zhang, Ting Liu |
| 2019 | Gaussian-Induced Convolution for Graphs. Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang |
| 2019 | General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. Zehong Hu, Jie Zhang, Zhao Li |
| 2019 | Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li |
| 2019 | Generalized Distance Bribery. Dorothea Baumeister, Tobias Hogrebe, Lisa Rey |
| 2019 | Generalized Planning via Abstraction: Arbitrary Numbers of Objects. León Illanes, Sheila A. McIlraith |
| 2019 | Generating Character Descriptions for Automatic Summarization of Fiction. Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren |
| 2019 | Generating Chinese Ci with Designated Metrical Structure. Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao |
| 2019 | Generating Distractors for Reading Comprehension Questions from Real Examinations. Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu |
| 2019 | Generating Live Soccer-Match Commentary from Play Data. Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura |
| 2019 | Generating Multiple Diverse Responses for Short-Text Conversation. Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi |
| 2019 | Generation of Policy-Level Explanations for Reinforcement Learning. Nicholay Topin, Manuela Veloso |
| 2019 | GeniePath: Graph Neural Networks with Adaptive Receptive Paths. Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi |
| 2019 | Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks. Jin Shang, Mingxuan Sun |
| 2019 | Geometric Multi-Model Fitting by Deep Reinforcement Learning. Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang |
| 2019 | Geometry-Aware Face Completion and Editing. Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He |
| 2019 | Get IT Scored Using AutoSAS - An Automated System for Scoring Short Answers. Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann |
| 2019 | Global Remote Operation of Intelligent Space Robot Assistants. Daniel Leidner, Peter Schmaus, Florian Schmidt, Benedikt Pleintinger, Ralph Bayer, Adrian Simon Bauer, Thomas Krüger, Neal Y. Lii |
| 2019 | GlobalTrait: Personality Alignment of Multilingual Word Embeddings. Farhad Bin Siddique, Dario Bertero, Pascale Fung |
| 2019 | Goal-Oriented Dialogue Policy Learning from Failures. Keting Lu, Shiqi Zhang, Xiaoping Chen |
| 2019 | Gradient Harmonized Single-Stage Detector. Buyu Li, Yu Liu, Xiaogang Wang |
| 2019 | Gradient-Based Inference for Networks with Output Constraints. Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell |
| 2019 | Grading Uncompilable Programs. Rohit Takhar, Varun Aggarwal |
| 2019 | Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks. Patrick Schwab, Djordje Miladinovic, Walter Karlen |
| 2019 | Graph Based Translation Memory for Neural Machine Translation. Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi |
| 2019 | Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition. Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang, Shihong Xia |
| 2019 | Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks. Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang |
| 2019 | Graph Convolutional Networks for Text Classification. Liang Yao, Chengsheng Mao, Yuan Luo |
| 2019 | Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints. Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger |
| 2019 | Group Decision Diagram (GDD): A Compact Representation for Permutations. Takanori Maehara, Yuma Inoue |
| 2019 | Group Fairness for the Allocation of Indivisible Goods. Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan |
| 2019 | Guided Dropout. Rohit Keshari, Richa Singh, Mayank Vatsa |
| 2019 | Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu |
| 2019 | HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng |
| 2019 | HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan |
| 2019 | HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification. Yi Hao, Nannan Wang, Jie Li, Xinbo Gao |
| 2019 | Hashtag Recommendation for Photo Sharing Services. Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu |
| 2019 | Heterogeneous Attributed Network Embedding with Graph Convolutional Networks. Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang |
| 2019 | Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding. Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot |
| 2019 | Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction. Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer |
| 2019 | Heuristic Voting as Ordinal Dominance Strategies. Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov |
| 2019 | Hierarchical Attention Network for Image Captioning. Weixuan Wang, Zhihong Chen, Haifeng Hu |
| 2019 | Hierarchical Attention Networks for Sentence Ordering. Tianming Wang, Xiaojun Wan |
| 2019 | Hierarchical Classification Based on Label Distribution Learning. Changdong Xu, Xin Geng |
| 2019 | Hierarchical Context Enabled Recurrent Neural Network for Recommendation. Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon |
| 2019 | Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG. Pramit Saha, Sidney S. Fels |
| 2019 | Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui |
| 2019 | Hierarchical Macro Strategy Model for MOBA Game AI. Bin Wu |
| 2019 | Hierarchical Photo-Scene Encoder for Album Storytelling. Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang |
| 2019 | Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun |
| 2019 | Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation. Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Oliver Wu, Jianfeng Wang, Xiaodong He |
| 2019 | High Dimensional Clustering with r-nets. Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer |
| 2019 | Higher-Order Multi-Layer Community Detection. Ling Huang, Chang-Dong Wang, Hong-Yang Chao |
| 2019 | HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews. Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel |
| 2019 | Holographic Factorization Machines for Recommendation. Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh |
| 2019 | Horizontal Pyramid Matching for Person Re-Identification. Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang |
| 2019 | Hotels-50K: A Global Hotel Recognition Dataset. Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless |
| 2019 | How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? Jacob Whitehill |
| 2019 | How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya |
| 2019 | How Similar Are Two Elections? Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanislaw Szufa, Nimrod Talmon |
| 2019 | How to Combine Tree-Search Methods in Reinforcement Learning. Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor |
| 2019 | Human Action Transfer Based on 3D Model Reconstruction. Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang |
| 2019 | Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies. Xiao Guo, Jongmoo Choi |
| 2019 | Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection. Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang |
| 2019 | Human-Like Sketch Object Recognition via Analogical Learning. Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus |
| 2019 | Human-in-the-Loop Feature Selection. Alvaro H. C. Correia, Freddy Lécué |
| 2019 | Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun |
| 2019 | Hybrid Reinforcement Learning with Expert State Sequences. Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell |
| 2019 | HyperAdam: A Learnable Task-Adaptive Adam for Network Training. Shipeng Wang, Jian Sun, Zongben Xu |
| 2019 | Hyperbolic Heterogeneous Information Network Embedding. Xiao Wang, Yiding Zhang, Chuan Shi |
| 2019 | Hypergraph Neural Networks. Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao |
| 2019 | Hypergraph Optimization for Multi-Structural Geometric Model Fitting. Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang |
| 2019 | Hyperprior Induced Unsupervised Disentanglement of Latent Representations. Abdul Fatir Ansari, Harold Soh |
| 2019 | I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs. Junyu Gao, Tianzhu Zhang, Changsheng Xu |
| 2019 | IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs. Yanlin Han, Piotr J. Gmytrasiewicz |
| 2019 | Identification of Causal Effects in the Presence of Selection Bias. Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2019 | Identifying Android Malware Using Network-Based Approaches. Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini |
| 2019 | Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets. Shirly Stephen, Torsten Hahmann |
| 2019 | Identifying Semantics in Clinical Reports Using Neural Machine Translation. Srikanth Mujjiga, Vamsi Krishna, Kalyan Chakravarthi, Vijayananda J |
| 2019 | Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning. Bowen Pan, Shangfei Wang, Qisheng Jiang |
| 2019 | Image Block Augmentation for One-Shot Learning. Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang |
| 2019 | Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method. Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang |
| 2019 | Imitation Learning from Observation. Faraz Torabi |
| 2019 | Implanting Rational Knowledge into Distributed Representation at Morpheme Level. Zi Lin, Yang Liu |
| 2019 | Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks. Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh |
| 2019 | Implicit Argument Prediction as Reading Comprehension. Pengxiang Cheng, Katrin Erk |
| 2019 | Improved Knowledge Graph Embedding Using Background Taxonomic Information. Bahare Fatemi, Siamak Ravanbakhsh, David Poole |
| 2019 | Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector. Shanchan Wu, Kai Fan, Qiong Zhang |
| 2019 | Improving Domain-Independent Planning via Critical Section Macro-Operators. Lukás Chrpa, Mauro Vallati |
| 2019 | Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong |
| 2019 | Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter. Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink |
| 2019 | Improving GAN with Neighbors Embedding and Gradient Matching. Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung |
| 2019 | Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning. Chengyu Wang, Xiaofeng He, Aoying Zhou |
| 2019 | Improving Image Captioning with Conditional Generative Adversarial Nets. Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju |
| 2019 | Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock |
| 2019 | Improving Neural Question Generation Using Answer Separation. Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung |
| 2019 | Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer. Jin Chen, Defu Lian, Kai Zheng |
| 2019 | Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau |
| 2019 | Improving Search with Supervised Learning in Trick-Based Card Games. Christopher Solinas, Douglas Rebstock, Michael Buro |
| 2019 | Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang |
| 2019 | Incorporating Behavioral Constraints in Online AI Systems. Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi |
| 2019 | Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification. Jingyun Xu, Yi Cai |
| 2019 | Incorporating Network Embedding into Markov Random Field for Better Community Detection. Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty |
| 2019 | Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie |
| 2019 | Incorporating Structured Commonsense Knowledge in Story Completion. Jiaao Chen, Jianshu Chen, Zhou Yu |
| 2019 | Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME. Farhad Shakerin, Gopal Gupta |
| 2019 | Inferring Concept Prerequisite Relations from Online Educational Resources. Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan |
| 2019 | InfoVAE: Balancing Learning and Inference in Variational Autoencoders. Shengjia Zhao, Jiaming Song, Stefano Ermon |
| 2019 | Instance-Level Facial Attributes Transfer with Geometry-Aware Flow. Weidong Yin, Ziwei Liu, Chen Change Loy |
| 2019 | Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation. Juntao Li, Lisong Qiu, Bo Tang, Dongmin Chen, Dongyan Zhao, Rui Yan |
| 2019 | Inter-Class Angular Loss for Convolutional Neural Networks. Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang |
| 2019 | Interaction-Aware Factorization Machines for Recommender Systems. Fuxing Hong, Dongbo Huang, Ge Chen |
| 2019 | Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen |
| 2019 | Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun |
| 2019 | Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms. Qi Lou, Rina Dechter, Alexander Ihler |
| 2019 | Interpretable Predictive Modeling for Climate Variables with Weighted Lasso. Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee |
| 2019 | Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning. Mirko Polato, Fabio Aiolli |
| 2019 | Interpretation of Neural Networks Is Fragile. Amirata Ghorbani, Abubakar Abid, James Y. Zou |
| 2019 | Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods. Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji |
| 2019 | Inverse Abstraction of Neural Networks Using Symbolic Interpolation. Sumanth Dathathri, Sicun Gao, Richard M. Murray |
| 2019 | Is Everything Going According to Plan? Expectations in Goal Reasoning Agents. Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder |
| 2019 | Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach. Marlo Souza, Álvaro F. Moreira, Renata Vieira |
| 2019 | Iterative Classroom Teaching. Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher |
| 2019 | Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation. Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin |
| 2019 | Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos. Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu |
| 2019 | Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling. Dai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang |
| 2019 | Joint Representation Learning for Multi-Modal Transportation Recommendation. Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong |
| 2019 | Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen |
| 2019 | Jointly Extracting Multiple Triplets with Multilayer Translation Constraints. Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao |
| 2019 | Jointly Learning to Label Sentences and Tokens. Marek Rei, Anders Søgaard |
| 2019 | Jointly Multiple Hash Learning. Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin |
| 2019 | K3S: Knowledge-Driven Solution Support System. Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang |
| 2019 | KVQA: Knowledge-Aware Visual Question Answering. Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar |
| 2019 | Kernelized Hashcode Representations for Relation Extraction. Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao |
| 2019 | Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi |
| 2019 | Knowledge Refinement via Rule Selection. Phokion G. Kolaitis, Lucian Popa, Kun Qian |
| 2019 | Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. Jill-Jênn Vie, Hisashi Kashima |
| 2019 | Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi |
| 2019 | Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing |
| 2019 | LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng |
| 2019 | Label Embedding with Partial Heterogeneous Contexts. Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan |
| 2019 | LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition. Yuchao Ma, Hassan Ghasemzadeh |
| 2019 | Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea). David Harel, Assaf Marron, Ariel Rosenfeld, Moshe Y. Vardi, Gera Weiss |
| 2019 | Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. Chun Kai Ling, Fei Fang, J. Zico Kolter |
| 2019 | Large Scale Personalized Categorization of Financial Transactions. Christopher Lesner, Alexander Ran, Marko Rukonic, Wei Wang |
| 2019 | Large-Scale Heterogeneous Feature Embedding. Xiao Huang, Qingquan Song, Fan Yang, Xia Hu |
| 2019 | Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu |
| 2019 | Large-Scale Visual Relationship Understanding. Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny |
| 2019 | Latent Dirichlet Allocation for Internet Price War. Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong |
| 2019 | Latent Multi-Task Architecture Learning. Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard |
| 2019 | Lattice CNNs for Matching Based Chinese Question Answering. Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao |
| 2019 | Learning (from) Deep Hierarchical Structure among Features. Yu Zhang, Lei Han |
| 2019 | Learning Adaptive Random Features. Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar |
| 2019 | Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell |
| 2019 | Learning Attribute-Specific Representations for Visual Tracking. Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang |
| 2019 | Learning Basis Representation to Refine 3D Human Pose Estimations. Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng |
| 2019 | Learning Compact Model for Large-Scale Multi-Label Data. Tong Wei, Yufeng Li |
| 2019 | Learning Competitive and Discriminative Reconstructions for Anomaly Detection. Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan |
| 2019 | Learning Deviation Payoffs in Simulation-Based Games. Samuel Sokota, Caleb Ho, Bryce Wiedenbeck |
| 2019 | Learning Diffusions without Timestamps. Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao |
| 2019 | Learning Disentangled Representation with Pairwise Independence. Zejian Li, Yongchuan Tang, Wei Li, Yongxing He |
| 2019 | Learning Diverse Bayesian Networks. Cong Chen, Changhe Yuan |
| 2019 | Learning Document Embeddings with Crossword Prediction. Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai |
| 2019 | Learning Dynamic Generator Model by Alternating Back-Propagation through Time. Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu |
| 2019 | Learning Features and Abstract Actions for Computing Generalized Plans. Blai Bonet, Guillem Francès, Hector Geffner |
| 2019 | Learning Flexible Latent Representations via Encapsulated Variational Encoders. Wenjun Bai, Changqin Quan, Zhi-Wei Luo |
| 2019 | Learning Fully Dense Neural Networks for Image Semantic Segmentation. Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan |
| 2019 | Learning Generalized Temporal Abstractions across Both Action and Perception. Khimya Khetarpal |
| 2019 | Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction. Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao |
| 2019 | Learning How to Ground a Plan - Partial Grounding in Classical Planning. Daniel Gnad, Álvaro Torralba, Martín Ariel Domínguez, Carlos Areces, Facundo Bustos |
| 2019 | Learning Incremental Triplet Margin for Person Re-Identification. Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu |
| 2019 | Learning Logistic Circuits. Yitao Liang, Guy Van den Broeck |
| 2019 | Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. Vaibhav V. Unhelkar, Julie A. Shah |
| 2019 | Learning Multi-Task Communication with Message Passing for Sequence Learning. Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung |
| 2019 | Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji |
| 2019 | Learning Non-Uniform Hypergraph for Multi-Object Tracking. Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu |
| 2019 | Learning Object Context for Dense Captioning. Xiangyang Li, Shuqiang Jiang, Jungong Han |
| 2019 | Learning Optimal Classification Trees Using a Binary Linear Program Formulation. Sicco Verwer, Yingqian Zhang |
| 2019 | Learning Optimal Strategies to Commit To. Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo |
| 2019 | Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos |
| 2019 | Learning Options with Interest Functions. Khimya Khetarpal, Doina Precup |
| 2019 | Learning Personalized Attribute Preference via Multi-Task AUC Optimization. Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang |
| 2019 | Learning Personalized End-to-End Goal-Oriented Dialog. Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun |
| 2019 | Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon |
| 2019 | Learning Plackett-Luce Mixtures from Partial Preferences. Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia |
| 2019 | Learning Representations in Model-Free Hierarchical Reinforcement Learning. Jacob Rafati, David C. Noelle |
| 2019 | Learning Resolution-Invariant Deep Representations for Person Re-Identification. Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang |
| 2019 | Learning Resource Allocation and Pricing for Cloud Profit Maximization. Bingqian Du, Chuan Wu, Zhiyi Huang |
| 2019 | Learning Segmentation Masks with the Independence Prior. Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen |
| 2019 | Learning Semantic Representations for Novel Words: Leveraging Both Form and Context. Timo Schick, Hinrich Schütze |
| 2019 | Learning Set Functions with Limited Complementarity. Hanrui Zhang |
| 2019 | Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision. Xiaoyu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan |
| 2019 | Learning Triggers for Heterogeneous Treatment Effects. Christopher Tran, Elena Zheleva |
| 2019 | Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially. Yudong Zhang, Wenhao Zheng, Ming Li |
| 2019 | Learning Vine Copula Models for Synthetic Data Generation. Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni |
| 2019 | Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System. Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang |
| 2019 | Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification. Yaqing Zhang, Xi Li, Zhongfei Zhang |
| 2019 | Learning a Visual Tracker from a Single Movie without Annotation. Lingxiao Yang, David Zhang, Lei Zhang |
| 2019 | Learning and the Unknown: Surveying Steps toward Open World Recognition. Terrance E. Boult, Steve Cruz, Akshay Raj Dhamija, Manuel Günther, James Henrydoss, Walter J. Scheirer |
| 2019 | Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification. Xiaoxiao Sun, Liyi Chen, Jufeng Yang |
| 2019 | Learning to Adaptively Scale Recurrent Neural Networks. Hao Hu, Liqiang Wang, Guo-Jun Qi |
| 2019 | Learning to Address Health Inequality in the United States with a Bayesian Decision Network. Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh |
| 2019 | Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks. Shizhu He, Kang Liu, Weiting An |
| 2019 | Learning to Communicate and Solve Visual Blocks-World Tasks. Qi Zhang, Richard L. Lewis, Satinder Singh, Edmund H. Durfee |
| 2019 | Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning. Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang |
| 2019 | Learning to Embed Sentences Using Attentive Recursive Trees. Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang |
| 2019 | Learning to Localize Objects with Noisy Labeled Instances. Xiaopeng Zhang, Yang Yang, Jiashi Feng |
| 2019 | Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luís C. Lamb, Moshe Y. Vardi |
| 2019 | Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks. Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy |
| 2019 | Learning to Teach in Cooperative Multiagent Reinforcement Learning. Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How |
| 2019 | Learning to Transfer Relational Representations through Analogy. Gaetano Rossiello, Alfio Gliozzo, Michael R. Glass |
| 2019 | Learning to Write Stories with Thematic Consistency and Wording Novelty. Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan |
| 2019 | Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao |
| 2019 | Leveraging Observations in Bandits: Between Risks and Benefits. Andrei Lupu, Audrey Durand, Doina Precup |
| 2019 | Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols. Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru |
| 2019 | Leveraging Web Semantic Knowledge in Word Representation Learning. Haoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li |
| 2019 | Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery. Hang Ma, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig |
| 2019 | Lifted Hinge-Loss Markov Random Fields. Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor |
| 2019 | Lifted Proximal Operator Machines. Jia Li, Cong Fang, Zhouchen Lin |
| 2019 | Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao |
| 2019 | Linking Educational Resources on Data Science. José Luis Ambite, Jonathan Gordon, Lily Fierro, Gully Burns, Joel Mathew |
| 2019 | Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading. Khwaja Mohd. Salik, Swati Aggarwal, Yaman Kumar, Rajiv Ratn Shah, Rohit Jain, Roger Zimmermann |
| 2019 | Lipper: Synthesizing Thy Speech Using Multi-View Lipreading. Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann |
| 2019 | LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts. Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun |
| 2019 | Localizing Natural Language in Videos. Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo |
| 2019 | Location-Based End-to-End Speech Recognition with Multiple Language Models. Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao |
| 2019 | Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan |
| 2019 | Logic-Based Sequential Decision-Making. Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon |
| 2019 | Logistic Regression on Homomorphic Encrypted Data at Scale. Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park |
| 2019 | Long Short-Term Memory with Dynamic Skip Connections. Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang |
| 2019 | Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng |
| 2019 | Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. Shengchao Liu, Yingyu Liang, Anthony Gitter |
| 2019 | Low-Distortion Social Welfare Functions. Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao |
| 2019 | Low-Rank Semidefinite Programming for the MAX2SAT Problem. Po-Wei Wang, J. Zico Kolter |
| 2019 | M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network. Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling |
| 2019 | MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents. Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis A. Lastras |
| 2019 | MEAL: Multi-Model Ensemble via Adversarial Learning. Zhiqiang Shen, Zhankui He, Xiangyang Xue |
| 2019 | MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas L. Allaire, Ulisses M. Braga-Neto |
| 2019 | MFPCA: Multiscale Functional Principal Component Analysis. Zhenhua Lin, Hongtu Zhu |
| 2019 | MIGAN: Malware Image Synthesis Using GANs. Abhishek Singh, Debojyoti Dutta, Amit Saha |
| 2019 | MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval. Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao |
| 2019 | MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online Reviews. Erfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery |
| 2019 | MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li |
| 2019 | MR-NET: Exploiting Mutual Relation for Visual Relationship Detection. Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen |
| 2019 | MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image. Jinglu Wang, Bo Sun, Yan Lu |
| 2019 | MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. Manan Tomar, Akhil Sathuluri, Balaraman Ravindran |
| 2019 | Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game. Bryon Kucharski, Azad Deihim, Mehmet Ergezer |
| 2019 | Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. Victor S. Sheng, Jing Zhang |
| 2019 | Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications. Daniel S. Brown, Scott Niekum |
| 2019 | Making Money from What You Know - How to Sell Information? Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang |
| 2019 | Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning. Lingkai Yang, Yi-Nan Guo, Jian Cheng |
| 2019 | Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets. Zhiwu Huang, Jiqing Wu, Luc Van Gool |
| 2019 | Marginal Inference in Continuous Markov Random Fields Using Mixtures. Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi |
| 2019 | Matrix Completion for Graph-Based Deep Semi-Supervised Learning. Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi |
| 2019 | Matroid Constrained Fair Allocation Problem. Arpita Biswas, Siddharth Barman |
| 2019 | Meaningful Explanations of Black Box AI Decision Systems. Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini |
| 2019 | Measurement Maximizing Adaptive Sampling with Risk Bounding Functions. Benjamin J. Ayton, Brian Williams, Richard Camilli |
| 2019 | Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles. Sujoy Sikdar, Sibel Adali, Lirong Xia |
| 2019 | Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome |
| 2019 | Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. Bryan Wilder, Bistra Dilkina, Milind Tambe |
| 2019 | Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling. Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien |
| 2019 | Memory-Augmented Temporal Dynamic Learning for Action Recognition. Yuan Yuan, Dong Wang, Qi Wang |
| 2019 | MeshNet: Mesh Neural Network for 3D Shape Representation. Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao |
| 2019 | Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning. Woojun Kim, Myungsik Cho, Youngchul Sung |
| 2019 | Meta Learning for Image Captioning. Nannan Li, Zhenzhong Chen, Shan Liu |
| 2019 | Meta-Descent for Online, Continual Prediction. Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White |
| 2019 | Meta-Path Augmented Response Generation. Yanran Li, Wenjie Li |
| 2019 | MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer. Chi Zhang, Yixin Zhu, Song-Chun Zhu |
| 2019 | Migration as Submodular Optimization. Paul Gölz, Ariel D. Procaccia |
| 2019 | Mind Your Language: Abuse and Offense Detection for Code-Switched Languages. Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann |
| 2019 | Minimum Intervention Cover of a Causal Graph. Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar |
| 2019 | Mining Entity Synonyms with Efficient Neural Set Generation. Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han |
| 2019 | Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions. Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu |
| 2019 | MixUp as Locally Linear Out-of-Manifold Regularization. Hongyu Guo, Yongyi Mao, Richong Zhang |
| 2019 | Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. Shun Kiyono, Jun Suzuki, Kentaro Inui |
| 2019 | Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition. Wissam J. Baddar, Yong Man Ro |
| 2019 | Model AI Assignments 2019. Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul G. Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist |
| 2019 | Model Learning for Look-Ahead Exploration in Continuous Control. Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki |
| 2019 | Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. Andreas Bunte, Benno Stein, Oliver Niggemann |
| 2019 | Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory. Alexander Diedrich, Alexander Maier, Oliver Niggemann |
| 2019 | Model-Free IRL Using Maximum Likelihood Estimation. Vinamra Jain, Prashant Doshi, Bikramjit Banerjee |
| 2019 | Modeling Coherence for Discourse Neural Machine Translation. Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang |
| 2019 | Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu |
| 2019 | Modelling Autobiographical Memory Loss across Life Span. Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa |
| 2019 | Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He |
| 2019 | Modular Materialisation of Datalog Programs. Pan Hu, Boris Motik, Ian Horrocks |
| 2019 | Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He |
| 2019 | Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. Tong He, Stefano Soatto |
| 2019 | MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization. Zengyi Qin, Jinglu Wang, Yan Lu |
| 2019 | Moral Permissibility of Action Plans. Felix Lindner, Robert Mattmüller, Bernhard Nebel |
| 2019 | Motion Guided Spatial Attention for Video Captioning. Shaoxiang Chen, Yu-Gang Jiang |
| 2019 | MotionTransformer: Transferring Neural Inertial Tracking between Domains. Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni |
| 2019 | Multi-Agent Coordination under Uncertain Communication. Nikhil Bhargava |
| 2019 | Multi-Agent Discussion Mechanism for Natural Language Generation. Xu Li, Mingming Sun, Ping Li |
| 2019 | Multi-Agent Path Finding for Large Agents. Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Kumar, Sven Koenig |
| 2019 | Multi-Attribute Transfer via Disentangled Representation. Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang |
| 2019 | Multi-Context System for Optimization Problems. Tiep Le, Tran Cao Son, Enrico Pontelli |
| 2019 | Multi-Dimensional Classification via kNN Feature Augmentation. Bin-Bin Jia, Min-Ling Zhang |
| 2019 | Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai |
| 2019 | Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty. Muhammad Raza Khan, Joshua E. Blumenstock |
| 2019 | Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis. Nan Xu, Wenji Mao, Guandan Chen |
| 2019 | Multi-Labeled Relation Extraction with Attentive Capsule Network. Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao |
| 2019 | Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang |
| 2019 | Multi-Matching Network for Multiple Choice Reading Comprehension. Min Tang, Jiaran Cai, Hankz Hankui Zhuo |
| 2019 | Multi-Order Attentive Ranking Model for Sequential Recommendation. Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang |
| 2019 | Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin |
| 2019 | Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1, +1}. Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao |
| 2019 | Multi-Scale 3D Convolution Network for Video Based Person Re-Identification. Jianing Li, Shiliang Zhang, Tiejun Huang |
| 2019 | Multi-Source Neural Variational Inference. Richard Kurle, Stephan Günnemann, Patrick van der Smagt |
| 2019 | Multi-Task Deep Reinforcement Learning with PopArt. Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt |
| 2019 | Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen |
| 2019 | Multi-Unit Bilateral Trade. Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik |
| 2019 | Multi-View Anomaly Detection: Neighborhood in Locality Matters. Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang |
| 2019 | Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang |
| 2019 | Multi-View Learning from Disparate Sources for Poverty Mapping. Neeti Pokhriyal |
| 2019 | Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo |
| 2019 | Multi-Winner Contests for Strategic Diffusion in Social Networks. Wen Shen, Yang Feng, Cristina V. Lopes |
| 2019 | Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski |
| 2019 | Multiagent Decision Making For Maritime Traffic Management. Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau |
| 2019 | Multigrid Backprojection Super-Resolution and Deep Filter Visualization. Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu |
| 2019 | Multilevel Language and Vision Integration for Text-to-Clip Retrieval. Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko |
| 2019 | Multiple Independent Subspace Clusterings. Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo |
| 2019 | Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature. Xuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su |
| 2019 | Multistream Classification with Relative Density Ratio Estimation. Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan |
| 2019 | Natural Option Critic. Saket Tiwari, Philip S. Thomas |
| 2019 | NeVAE: A Deep Generative Model for Molecular Graphs. Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez |
| 2019 | Near-Lossless Binarization of Word Embeddings. Julien Tissier, Christophe Gravier, Amaury Habrard |
| 2019 | Near-Neighbor Methods in Random Preference Completion. Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia |
| 2019 | Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee |
| 2019 | Network Recasting: A Universal Method for Network Architecture Transformation. Joonsang Yu, Sungbum Kang, Kiyoung Choi |
| 2019 | Network Structure and Transfer Behaviors Embedding via Deep Prediction Model. Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm |
| 2019 | Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data. Tomoharu Iwata, Hitoshi Shimizu |
| 2019 | Neural Machine Translation with Adequacy-Oriented Learning. Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang |
| 2019 | Neural Relation Extraction within and across Sentence Boundaries. Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas A. Runkler |
| 2019 | Neural Speech Synthesis with Transformer Network. Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu |
| 2019 | NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks. Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James R. Glass |
| 2019 | No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking. Jie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan |
| 2019 | Non-Asymptotic Uniform Rates of Consistency for k-NN Regression. Heinrich Jiang |
| 2019 | Non-Autoregressive Machine Translation with Auxiliary Regularization. Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu |
| 2019 | Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu |
| 2019 | Non-Compensatory Psychological Models for Recommender Systems. Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao |
| 2019 | Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms. Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang |
| 2019 | Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks. Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu |
| 2019 | Non-Parametric Transformation Networks for Learning General Invariances from Data. Dipan K. Pal, Marios Savvides |
| 2019 | Novelty Detection for Multispectral Images with Application to Planetary Exploration. Hannah Rae Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell, Chiman Kwan, Heni Ben Amor |
| 2019 | Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks. Hyoungwook Nam, Segwang Kim, Kyomin Jung |
| 2019 | Numerical Optimization to AI, and Back. Sathya N. Ravi |
| 2019 | Object Detection Based on Region Decomposition and Assembly. Seung-Hwan Bae |
| 2019 | Object Reachability via Swaps along a Line. Sen Huang, Mingyu Xiao |
| 2019 | Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift. Carles Gelada, Marc G. Bellemare |
| 2019 | On Completing Sparse Knowledge Base with Transitive Relation Embedding. Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang |
| 2019 | On Fair Cost Sharing Games in Machine Learning. Ievgen Redko, Charlotte Laclau |
| 2019 | On Geometric Alignment in Low Doubling Dimension. Hu Ding, Mingquan Ye |
| 2019 | On Lifted Inference Using Neural Embeddings. Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal |
| 2019 | On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics. Stephanie McIntyre, Alexander Borgida, David Toman, Grant E. Weddell |
| 2019 | On Rational Delegations in Liquid Democracy. Daan Bloembergen, Davide Grossi, Martin Lackner |
| 2019 | On Reinforcement Learning for Full-Length Game of StarCraft. Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu |
| 2019 | On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse. Vasanth Sarathy, Matthias Scheutz |
| 2019 | On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem. Igor Molybog, Javad Lavaei |
| 2019 | On Strength Adjustment for MCTS-Based Programs. I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei |
| 2019 | On Structured Argumentation with Conditional Preferences. Phan Minh Dung, Phan Minh Thang, Tran Cao Son |
| 2019 | On Testing of Uniform Samplers. Sourav Chakraborty, Kuldeep S. Meel |
| 2019 | On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games. Ilias Diakonikolas, Chrystalla Pavlou |
| 2019 | On the Distortion Value of the Elections with Abstention. Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin |
| 2019 | On the Hardness of Probabilistic Inference Relaxations. Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi |
| 2019 | On the Inducibility of Stackelberg Equilibrium for Security Games. Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An |
| 2019 | On the Optimal Efficiency of Cost-Algebraic A. Robert C. Holte, Sandra Zilles |
| 2019 | On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka |
| 2019 | On the Proximity of Markets with Integral Equilibria. Siddharth Barman, Sanath Kumar Krishnamurthy |
| 2019 | On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components. Gaku Morio, Katsuhide Fujita |
| 2019 | On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2019 | On-Line Adaptative Curriculum Learning for GANs. Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm |
| 2019 | On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor |
| 2019 | One for All: Neural Joint Modeling of Entities and Events. Trung Minh Nguyen, Thien Huu Nguyen |
| 2019 | One-Class Adversarial Nets for Fraud Detection. Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu |
| 2019 | One-Network Adversarial Fairness. Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller |
| 2019 | One-Pass Incomplete Multi-View Clustering. Menglei Hu, Songcan Chen |
| 2019 | Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games. Gabriele Farina, Christian Kroer, Tuomas Sandholm |
| 2019 | Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization. Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit S. Dhillon |
| 2019 | Online Learning from Data Streams with Varying Feature Spaces. Ege Beyazit, Jeevithan Alagurajah, Xindong Wu |
| 2019 | Online Multi-Agent Pathfinding. Jirí Svancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták |
| 2019 | Online Pandora's Boxes and Bandits. Hossein Esfandiari, Mohammad Taghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher |
| 2019 | Ontology-Based Query Answering for Probabilistic Temporal Data. Patrick Koopmann |
| 2019 | Ontology-Mediated Query Answering over Log-Linear Probabilistic Data. Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz |
| 2019 | Operator Mutexes and Symmetries for Simplifying Planning Tasks. Daniel Fiser, Álvaro Torralba, Alexander Shleyfman |
| 2019 | Optimal Dynamic Auctions Are Virtual Welfare Maximizers. Vahab S. Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo |
| 2019 | Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings |
| 2019 | Optimal Projection Guided Transfer Hashing for Image Retrieval. Ji Liu, Lei Zhang |
| 2019 | Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length. Serge Gaspers, Kamran Najeebullah |
| 2019 | Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees. |
| 2019 | Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning. Hong Xie, Yongkun Li, John C. S. Lui |
| 2019 | Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface. Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong, Yang Richard Yang |
| 2019 | Orderly Subspace Clustering. Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi |
| 2019 | Orthogonality-Promoting Dictionary Learning via Bayesian Inference. Lei Luo, Jie Xu, Cheng Deng, Heng Huang |
| 2019 | Outlier Aware Network Embedding for Attributed Networks. Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty |
| 2019 | Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz |
| 2019 | Oversampling for Imbalanced Data via Optimal Transport. Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu |
| 2019 | PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation. J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme |
| 2019 | PCGAN: Partition-Controlled Human Image Generation. Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou |
| 2019 | PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. Tomer Golany, Kira Radinsky |
| 2019 | PVRNet: Point-View Relation Neural Network for 3D Shape Recognition. Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao |
| 2019 | Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning. Hao Yu, Sen Yang, Shenghuo Zhu |
| 2019 | Parameterized Heuristics for Incomplete Weighted CSPs. Atena M. Tabakhi |
| 2019 | Parameterized Heuristics for Incomplete Weighted CSPs. Atena M. Tabakhi |
| 2019 | Paraphrase Diversification Using Counterfactual Debiasing. Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim |
| 2019 | Pareto Efficient Auctions with Interest Rates. Gagan Goel, Vahab S. Mirrokni, Renato Paes Leme |
| 2019 | Pareto Optimal Allocation under Compact Uncertain Preferences. Haris Aziz, Péter Biró, Ronald de Haan, Baharak Rastegari |
| 2019 | Pareto Optimization for Subset Selection with Dynamic Cost Constraints. Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich |
| 2019 | Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints. Ayumi Igarashi, Dominik Peters |
| 2019 | Partial Awareness. Joseph Y. Halpern, Evan Piermont |
| 2019 | Partial Label Learning via Label Enhancement. Ning Xu, Jiaqi Lv, Xin Geng |
| 2019 | Partial Label Learning with Self-Guided Retraining. Lei Feng, Bo An |
| 2019 | Partial Multi-Label Learning by Low-Rank and Sparse Decomposition. Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin |
| 2019 | Partial Multi-Label Learning via Credible Label Elicitation. Jun-Peng Fang, Min-Ling Zhang |
| 2019 | Partial Verification as a Substitute for Money. Sofia Ceppi, Ian A. Kash, Rafael M. Frongillo |
| 2019 | Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach. Chen Zhang, Steven C. H. Hoi |
| 2019 | Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice. Theodora Bendlin, Hadi Hosseini |
| 2019 | Path-Specific Counterfactual Fairness. Silvia Chiappa |
| 2019 | Pathological Evidence Exploration in Deep Retinal Image Diagnosis. Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng |
| 2019 | Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis. Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Heng Tao Shen |
| 2019 | Perceptual-Sensitive GAN for Generating Adversarial Patches. Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao |
| 2019 | Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward. Peter A. Flach |
| 2019 | Performance Guarantees for Homomorphisms beyond Markov Decision Processes. Sultan Javed Majeed, Marcus Hutter |
| 2019 | PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network. Bryan Wang, Yi-Hsuan Yang |
| 2019 | Personalized Question Routing via Heterogeneous Network Embedding. Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang |
| 2019 | Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP). Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati |
| 2019 | PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. Patrick Schwab, Walter Karlen |
| 2019 | Plan-Length Bounds: Beyond 1-Way Dependency. Mohammad Abdulaziz |
| 2019 | Plan-and-Write: Towards Better Automatic Storytelling. Lili Yao, Nanyun Peng, Ralph M. Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan |
| 2019 | Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer. Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su |
| 2019 | Point Cloud Processing via Recurrent Set Encoding. Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas |
| 2019 | Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker |
| 2019 | Policy Optimization with Model-Based Explorations. Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang |
| 2019 | Poll-Confident Voters in Iterative Voting. Anaëlle Wilczynski |
| 2019 | Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics. Brendan Juba |
| 2019 | PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education. Randi Williams, Hae Won Park, Lauren Oh, Cynthia Breazeal |
| 2019 | Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features. Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li |
| 2019 | Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking. Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia |
| 2019 | Precision-Recall versus Accuracy and the Role of Large Data Sets. Brendan Juba, Hai S. Le |
| 2019 | Predicting Concrete and Abstract Entities in Modern Poetry. Fiammetta Caccavale, Anders Søgaard |
| 2019 | Predicting Hurricane Trajectories Using a Recurrent Neural Network. Sheila Alemany, Jonathan Beltran, Adrián Pérez, Sam Ganzfried |
| 2019 | Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game. Richard Hoshino, Maximilian Kahn |
| 2019 | Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li |
| 2019 | Predicting and Analyzing Language Specificity in Social Media Posts. Yifan Gao, Yang Zhong, Daniel Preotiuc-Pietro, Junyi Jessy Li |
| 2019 | Predicting the Argumenthood of English Prepositional Phrases. Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky |
| 2019 | Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach. Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng |
| 2019 | Preference-Aware Task Assignment in Spatial Crowdsourcing. Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng |
| 2019 | Primarily about Primaries. Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway |
| 2019 | Private Model Compression via Knowledge Distillation. Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu |
| 2019 | Probabilistic Alternating-Time Fu Song, Yedi Zhang, Taolue Chen, Yu Tang, Zhiwu Xu |
| 2019 | Probabilistic Logic Programming with Beta-Distributed Random Variables. Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy |
| 2019 | Probabilistic Model Checking of Robots Deployed in Extreme Environments. Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster |
| 2019 | Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces. Joseph Bockhorst, Devin Conathan, Glenn Moo Fung |
| 2019 | Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling. Ugur Kuter, Brian Kettler, Katherine Guo, Martin O. Hofmann, Valerie Champagne, Kurt Lachevet, Jennifer Lautenschlager, Robert P. Goldman, Luis Asencios, Josh Hamell |
| 2019 | Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann |
| 2019 | Proppy: A System to Unmask Propaganda in Online News. Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov |
| 2019 | QADiver: Interactive Framework for Diagnosing QA Models. Gyeongbok Lee, Sungdong Kim, Seung-won Hwang |
| 2019 | QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal |
| 2019 | QUOTA: The Quantile Option Architecture for Reinforcement Learning. Shangtong Zhang, Hengshuai Yao |
| 2019 | Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable. Heshan Du, Natasha Alechina |
| 2019 | Quantifying Uncertainties in Natural Language Processing Tasks. Yijun Xiao, William Yang Wang |
| 2019 | Quasi-Perfect Stackelberg Equilibrium. Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm |
| 2019 | Querying Attributed DL-Lite Ontologies Using Provenance Semirings. Camille Bourgaux, Ana Ozaki |
| 2019 | Querying NoSQL with Deep Learning to Answer Natural Language Questions. Sebastian Blank, Florian Wilhelm, Hans-Peter Zorn, Achim Rettinger |
| 2019 | RGBD Based Gaze Estimation via Multi-Task CNN. Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao |
| 2019 | RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace. Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang |
| 2019 | RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling |
| 2019 | Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu |
| 2019 | Random Feature Maps for the Itemset Kernel. Kyohei Atarashi, Subhransu Maji, Satoshi Oyama |
| 2019 | Random Walk Decay Centrality. Tomasz Was, Talal Rahwan, Oskar Skibski |
| 2019 | Randomized Strategies for Robust Combinatorial Optimization. Yasushi Kawase, Hanna Sumita |
| 2019 | Randomized Wagering Mechanisms. Yiling Chen, Yang Liu, Juntao Wang |
| 2019 | Ranking-Based Deep Cross-Modal Hashing. Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo |
| 2019 | Re Jianglei Huang, Wengang Zhou |
| 2019 | Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses. Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan |
| 2019 | ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. Sawan Kumar, Varsha Sreenivasan, Partha P. Talukdar, Franco Pestilli, Devarajan Sridharan |
| 2019 | Read + Verify: Machine Reading Comprehension with Unanswerable Questions. Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li |
| 2019 | Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos. Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen |
| 2019 | Real-Time Planning as Decision-Making under Uncertainty. Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Jörg Hoffmann, Marek Petrik |
| 2019 | Realtime Generation of Audible Textures Inspired by a Video Stream. Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca Maria Gambardella |
| 2019 | Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings. Tuomo Lehtonen, Johannes P. Wallner, Matti Järvisalo |
| 2019 | Reasoning over Streaming Data in Metric Temporal Datalog. Przemyslaw Andrzej Walega, Mark Kaminski, Bernardo Cuenca Grau |
| 2019 | Recognizing Unseen Attribute-Object Pair with Generative Model. Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu |
| 2019 | Recommender Systems: A Healthy Obsession. Barry Smyth |
| 2019 | RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh |
| 2019 | Recurrent Attention Model for Pedestrian Attribute Recognition. Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan |
| 2019 | Recurrent Poisson Process Unit for Speech Recognition. Hengguan Huang, Hao Wang, Brian Mak |
| 2019 | Recurrent Stacking of Layers for Compact Neural Machine Translation Models. Raj Dabre, Atsushi Fujita |
| 2019 | Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test. Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang |
| 2019 | Red-Black Heuristics for Planning Tasks with Conditional Effects. Michael Katz |
| 2019 | Refining Abstraction Heuristics during Real-Time Planning. Rebecca Eifler, Maximilian Fickert, Jörg Hoffmann, Wheeler Ruml |
| 2019 | Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda |
| 2019 | Region-Based Message Exploration over Spatio-Temporal Data Streams. Lisi Chen, Shuo Shang |
| 2019 | Regular Boardgames. Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykula |
| 2019 | Regularized Evolution for Image Classifier Architecture Search. Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le |
| 2019 | Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2019 | Regularizing Neural Machine Translation by Target-Bidirectional Agreement. Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu |
| 2019 | Reinforcement Learning for Improved Low Resource Dialogue Generation. Ana Valeria González-Garduño |
| 2019 | Reinforcement Learning under Threats. Víctor Gallego, Roi Naveiro, David Ríos Insua |
| 2019 | Relating the Structure of a Problem and Its Explanation. Eugene C. Freuder |
| 2019 | Relation Structure-Aware Heterogeneous Information Network Embedding. Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu |
| 2019 | Relaxing and Restraining Queries for OBDA. Medina Andresel, Yazmín Ibáñez-García, Magdalena Ortiz, Mantas Simkus |
| 2019 | Remote Management of Boundary Protection Devices with Information Restrictions. Aaron Adler, Peter Samouelian, Michael Atighetchi, Yat Fu |
| 2019 | RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | Representing and Learning Grammars in Answer Set Programming. Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo |
| 2019 | Residual Attribute Attention Network for Face Image Super-Resolution. Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li |
| 2019 | Residual Compensation Networks for Heterogeneous Face Recognition. Zhongying Deng, Xiaojiang Peng, Yu Qiao |
| 2019 | Residual Invertible Spatio-Temporal Network for Video Super-Resolution. Xiaobin Zhu, Zhuangzi Li, Xiaoyu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue |
| 2019 | Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders. Partha Ghosh, Arpan Losalka, Michael J. Black |
| 2019 | Response Generation by Context-Aware Prototype Editing. Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou |
| 2019 | Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach. Silviu Pitis |
| 2019 | Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions. Zhuoshu Li, Sanmay Das |
| 2019 | Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances". Robert West, Eric Horvitz |
| 2019 | Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov |
| 2019 | Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets. Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari |
| 2019 | Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li |
| 2019 | Robust Anomaly Detection in Videos Using Multilevel Representations. Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung |
| 2019 | Robust Deep Co-Saliency Detection with Group Semantic. Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie |
| 2019 | Robust Estimation of Similarity Transformation for Visual Object Tracking. Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu |
| 2019 | Robust Facial Landmark Localization Based on Two-Stage Cascaded Pose Regression. Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-Ming Cheng |
| 2019 | Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. Lei Luo, Jie Xu, Cheng Deng, Heng Huang |
| 2019 | Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell |
| 2019 | Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation. Saiprasad Koturwar, Soma Shiraishi, Kota Iwamoto |
| 2019 | Robust Negative Sampling for Network Embedding. Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu |
| 2019 | Robust Online Matching with User Arrival Distribution Drift. Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin |
| 2019 | Robust Optimization over Multiple Domains. Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li |
| 2019 | Robust Ordinal Embedding from Contaminated Relative Comparisons. Ke Ma, Qianqian Xu, Xiaochun Cao |
| 2019 | Robust Principal Component Analysis-Based Infrared Small Target Detection. Qiwei Chen, Cheng Wu, Yiming Wang |
| 2019 | RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu |
| 2019 | Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang |
| 2019 | Robustness Envelopes for Temporal Plans. Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi |
| 2019 | Robustness Guarantees for Bayesian Inference with Gaussian Processes. Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane |
| 2019 | Rotational Diversity in Multi-Cycle Assignment Problems. Helge Spieker, Arnaud Gotlieb, Morten Mossige |
| 2019 | Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem. Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He |
| 2019 | SADIH: Semantic-Aware DIscrete Hashing. Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang |
| 2019 | SAFE: A Neural Survival Analysis Model for Fraud Early Detection. Panpan Zheng, Shuhan Yuan, Xintao Wu |
| 2019 | SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next. Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu |
| 2019 | SAT-Based Explicit LTLf Satisfiability Checking. Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi |
| 2019 | SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart. In-Seok Lee, Jun-Geol Baek |
| 2019 | SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks. Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao |
| 2019 | SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection. Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi |
| 2019 | SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson |
| 2019 | SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang |
| 2019 | SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi |
| 2019 | STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification. Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas S. Huang |
| 2019 | SVM-Based Deep Stacking Networks. Jingyuan Wang, Kai Feng, Junjie Wu |
| 2019 | Safe Partial Diagnosis from Normal Observations. Roni Stern, Brendan Juba |
| 2019 | Safe Policy Improvement with Baseline Bootstrapping in Factored Environments. Thiago D. Simão, Matthijs T. J. Spaan |
| 2019 | Safeguarded Dynamic Label Regression for Noisy Supervision. Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun |
| 2019 | Satellite Detection of Moving Vessels in Marine Environments. Natalie Fridman, Doron Amir, Yinon Douchan, Noa Agmon |
| 2019 | Satisfiability in Strategy Logic Can Be Easier than Model Checking. Erman Acar, Massimo Benerecetti, Fabio Mogavero |
| 2019 | Scalable Distributed DL Training: Batching Communication and Computation. Shaoqi Wang, Aidi Pi, Xiaobo Zhou |
| 2019 | Scalable Recollections for Continual Lifelong Learning. Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini |
| 2019 | Scalable Robust Kidney Exchange. Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson |
| 2019 | Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. Bin Gu, Zhouyuan Huo, Heng Huang |
| 2019 | Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently. Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu |
| 2019 | Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS). Chen Luo, Anshumali Shrivastava |
| 2019 | Scene Text Detection with Supervised Pyramid Context Network. Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li |
| 2019 | Scene Text Recognition from Two-Dimensional Perspective. Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai |
| 2019 | Scientific Article Search System Based on Discourse Facet Representation. Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto |
| 2019 | ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev |
| 2019 | Searching with Consistent Prioritization for Multi-Agent Path Finding. Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, Sven Koenig |
| 2019 | Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu |
| 2019 | Selecting Compliant Agents for Opt-in Micro-Tolling. Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone |
| 2019 | Selective Refinement Network for High Performance Face Detection. Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou |
| 2019 | Self-Adversarially Learned Bayesian Sampling. Yang Zhao, Jianyi Zhang, Changyou Chen |
| 2019 | Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation. Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang |
| 2019 | Self-Paced Active Learning: Query the Right Thing at the Right Time. Ying-Peng Tang, Sheng-Jun Huang |
| 2019 | Self-Supervised Mixture-of-Experts by Uncertainty Estimation. Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye |
| 2019 | Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. Dahun Kim, Donghyeon Cho, In So Kweon |
| 2019 | Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification. De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao |
| 2019 | Semantic Proposal for Activity Localization in Videos via Sentence Query. Shaoxiang Chen, Yu-Gang Jiang |
| 2019 | Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition. Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin |
| 2019 | Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information. Seonhoon Kim, Inho Kang, Nojun Kwak |
| 2019 | Semi-Parametric Sampling for Stochastic Bandits with Many Arms. Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin |
| 2019 | Semi-Supervised Feature Selection with Adaptive Discriminant Analysis. Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie |
| 2019 | Semi-Supervised Learning for Electron Microscopy Image Segmentation. Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara |
| 2019 | Sensitivity Analysis of Deep Neural Networks. Hai Shu, Hongtu Zhu |
| 2019 | Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. Chengyue Gong, Xu Tan, Di He, Tao Qin |
| 2019 | SepNE: Bringing Separability to Network Embedding. Ziyao Li, Liang Zhang, Guojie Song |
| 2019 | Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications. Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky |
| 2019 | Separator-Based Pruned Dynamic Programming for Steiner Tree. Yoichi Iwata, Takuto Shigemura |
| 2019 | Sequence to Sequence Learning for Query Expansion. Salah Zaiem, Fatiha Sadat |
| 2019 | Session-Based Recommendation with Graph Neural Networks. Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan |
| 2019 | Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang |
| 2019 | Sign-Full Random Projections. Ping Li |
| 2019 | Similarity Learning via Kernel Preserving Embedding. Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu |
| 2019 | Similarity Preserving Deep Asymmetric Quantization for Image Retrieval. Junjie Chen, William K. Cheung |
| 2019 | Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases. Abhishek Sharma, Keith M. Goolsbey |
| 2019 | Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim |
| 2019 | Single-Label Multi-Class Image Classification by Deep Logistic Regression. Qi Dong, Xiatian Zhu, Shaogang Gong |
| 2019 | Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module. Chenyang Li, Xin Zhang, Lufan Liao, Lianwen Jin, Weixin Yang |
| 2019 | Sliding Window Temporal Graph Coloring. George B. Mertzios, Hendrik Molter, Viktor Zamaraev |
| 2019 | Smooth Deep Image Generator from Noises. Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao |
| 2019 | Soft Facial Landmark Detection by Label Distribution Learning. Kai Su, Xin Geng |
| 2019 | Solving Imperfect-Information Games via Discounted Regret Minimization. Noam Brown, Tuomas Sandholm |
| 2019 | Solving Integer Quadratic Programming via Explicit and Structural Restrictions. Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak |
| 2019 | Solving Large Extensive-Form Games with Strategy Constraints. Trevor Davis, Kevin Waugh, Michael Bowling |
| 2019 | Solving Multiagent Planning Problems with Concurrent Conditional Effects. Daniel Furelos-Blanco, Anders Jonsson |
| 2019 | Solving Partially Observable Stochastic Games with Public Observations. Karel Horák, Branislav Bosanský |
| 2019 | SpHMC: Spectral Hamiltonian Monte Carlo. Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan |
| 2019 | Sparse Adversarial Perturbations for Videos. Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su |
| 2019 | Sparse Reject Option Classifier Using Successive Linear Programming. Kulin Shah, Naresh Manwani |
| 2019 | Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping. Jinyang Yuan, Bin Li, Xiangyang Xue |
| 2019 | Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification. Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li |
| 2019 | Spatial-Temporal Person Re-Identification. Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie |
| 2019 | Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis. Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi |
| 2019 | Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. Eric Crawford, Joelle Pineau |
| 2019 | Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition. Bin Li, Xi Li, Zhongfei Zhang, Fei Wu |
| 2019 | Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu |
| 2019 | Spectral Clustering in Heterogeneous Information Networks. Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin |
| 2019 | Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model. S. J. Mielke, Jason Eisner |
| 2019 | StNet: Local and Global Spatial-Temporal Modeling for Action Recognition. Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen |
| 2019 | State Abstraction as Compression in Apprenticeship Learning. David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong |
| 2019 | State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning. Shuai Ma, Jia Yuan Yu |
| 2019 | Stepping Stones to Inductive Synthesis of Low-Level Looping Programs. Christopher D. Rosin |
| 2019 | Stochastic Goal Recognition Design. Christabel Wayllace |
| 2019 | Stochastic Submodular Maximization with Performance-Dependent Item Costs. Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi |
| 2019 | Story Ending Generation with Incremental Encoding and Commonsense Knowledge. Jian Guan, Yansen Wang, Minlie Huang |
| 2019 | Strategic Tasks for Explainable Reinforcement Learning. Rey Pocius, Lawrence Neal, Alan Fern |
| 2019 | Strong Equivalence for Epistemic Logic Programs Made Easy. Wolfgang Faber, Michael Morak, Stefan Woltran |
| 2019 | Structural Causal Bandits with Non-Manipulable Variables. Sanghack Lee, Elias Bareinboim |
| 2019 | Structured Bayesian Networks: From Inference to Learning with Routes. Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi |
| 2019 | Structured Two-Stream Attention Network for Video Question Answering. Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen |
| 2019 | Structured and Sparse Annotations for Image Emotion Distribution Learning. Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu |
| 2019 | Sublinear Time Numerical Linear Algebra for Structured Matrices. Xiaofei Shi, David P. Woodruff |
| 2019 | Submodular Optimization over Streams with Inhomogeneous Decays. Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang |
| 2019 | Subspace Selection via DR-Submodular Maximization on Lattices. So Nakashima, Takanori Maehara |
| 2019 | Subtask Gated Networks for Non-Intrusive Load Monitoring. Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee |
| 2019 | Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs. Tarun Gupta, Akshat Kumar, Praveen Paruchuri |
| 2019 | Super Sparse Convolutional Neural Networks. Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li |
| 2019 | SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection. Bo Li, Zhengxing Sun, Yuqi Guo |
| 2019 | Supervised User Ranking in Signed Social Networks. Xiaoming Li, Hui Fang, Jie Zhang |
| 2019 | Surveys without Questions: A Reinforcement Learning Approach. Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan |
| 2019 | Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang |
| 2019 | Switch-LSTMs for Multi-Criteria Chinese Word Segmentation. Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu |
| 2019 | Symmetrization for Embedding Directed Graphs. Jiankai Sun, Srinivasan Parthasarathy |
| 2019 | Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding. Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig |
| 2019 | Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng |
| 2019 | Syntax-Aware Neural Semantic Role Labeling. Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si |
| 2019 | T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition. Yifeng Chen, Cheng Wu, Yiming Wang |
| 2019 | TAPAS: Train-Less Accuracy Predictor for Architecture Search. Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios S. Nikolopoulos, Constantine Bekas, Adelmo Cristiano Innocenza Malossi |
| 2019 | TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen |
| 2019 | TET-GAN: Text Effects Transfer via Stylization and Destylization. Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo |
| 2019 | TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang |
| 2019 | Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana |
| 2019 | Tagging Address Queries in Maps Search. Shekoofeh Mokhtari, Ahmad Mahmoody, Dragomir Yankov, Ning Xie |
| 2019 | Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang |
| 2019 | TallyQA: Answering Complex Counting Questions. Manoj Acharya, Kushal Kafle, Christopher Kanan |
| 2019 | Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization. Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song |
| 2019 | Task Transfer by Preference-Based Cost Learning. Mingxuan Jing, Xiaojian Ma, Wen-bing Huang, Fuchun Sun, Huaping Liu |
| 2019 | Task-Driven Common Representation Learning via Bridge Neural Network. Yao Xu, Xueshuang Xiang, Meiyu Huang |
| 2019 | Teaching Machines to Extract Main Content for Machine Reading Comprehension. Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2019 | Template-Based Math Word Problem Solvers with Recursive Neural Networks. Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen |
| 2019 | Temporal Anomaly Detection: Calibrating the Surprise. Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer |
| 2019 | Temporal Bilinear Networks for Video Action Recognition. Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu |
| 2019 | Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning. Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei |
| 2019 | Temporal Planning with Temporal Metric Trajectory Constraints. Andrea Micheli, Enrico Scala |
| 2019 | Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search. Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay |
| 2019 | Tensor Decomposition for Multilayer Networks Clustering. Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu |
| 2019 | Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao |
| 2019 | Tensorial Change Analysis Using Probabilistic Tensor Regression. Tsuyoshi Idé |
| 2019 | Text Assisted Insight Ranking Using Context-Aware Memory Network. Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang |
| 2019 | That's Mine! Learning Ownership Relations and Norms for Robots. Zhi-Xuan Tan, Jake Brawer, Brian Scassellati |
| 2019 | The Adversarial Attack and Detection under the Fisher Information Metric. Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen |
| 2019 | The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure. Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody |
| 2019 | The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes. Stanislav Fort, Adam Scherlis |
| 2019 | The Kelly Growth Optimal Portfolio with Ensemble Learning. Weiwei Shen, Bin Wang, Jian Pu, Jun Wang |
| 2019 | The Level Weighted Structural Similarity Loss: A Step Away from MSE. Yingjing Lu |
| 2019 | The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining. Colleen Alkalay-Houlihan, Nisarg Shah |
| 2019 | The Rensselaer Mandarin Project - A Cognitive and Immersive Language Learning Environment. David Allen, Rahul R. Divekar, Jaimie Drozdal, Lilit Balagyozyan, Shuyue Zheng, Ziyi Song, Huang Zou, Jeramey Tyler, Xiangyang Mou, Rui Zhao, Helen Zhou, Jianling Yue, Jeffrey O. Kephart, Hui Su |
| 2019 | The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik |
| 2019 | The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019. |
| 2019 | The Utility of Sparse Representations for Control in Reinforcement Learning. Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White |
| 2019 | Theoretical Analysis of Label Distribution Learning. Jing Wang, Xin Geng |
| 2019 | Theory of Minds: Understanding Behavior in Groups through Inverse Planning. Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum |
| 2019 | Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin |
| 2019 | Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon |
| 2019 | Title-Guided Encoding for Keyphrase Generation. Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu |
| 2019 | To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression. Yitian Yuan, Tao Mei, Wenwu Zhu |
| 2019 | TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. Michihiro Yasunaga, John D. Lafferty |
| 2019 | Towards Automated Semi-Supervised Learning. Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu |
| 2019 | Towards Better Accuracy and Robustness with Localized Adversarial Training. Eitan Rothberg, Tingting Chen, Hao Ji |
| 2019 | Towards Better Interpretability in Deep Q-Networks. Raghuram Mandyam Annasamy, Katia P. Sycara |
| 2019 | Towards Fluid Machine Intelligence: Can We Make a Gifted AI? Ian Davidson, Peter B. Walker |
| 2019 | Towards Gene Function Prediction via Multi-Networks Representation Learning. Hansheng Xue, Jiajie Peng, Xuequn Shang |
| 2019 | Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos. Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, Yu Chen |
| 2019 | Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio |
| 2019 | Towards Optimal Discrete Online Hashing with Balanced Similarity. Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu |
| 2019 | Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang |
| 2019 | Towards Personalized Review Summarization via User-Aware Sequence Network. Junjie Li, Haoran Li, Chengqing Zong |
| 2019 | Towards Reliable Learning for High Stakes Applications. Jinyang Gao, Junjie Yao, Yingxia Shao |
| 2019 | Towards Sentence-Level Brain Decoding with Distributed Representations. Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong |
| 2019 | Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search. Helge Spieker |
| 2019 | Towards Task Understanding in Visual Settings. Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz |
| 2019 | Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach. Jianjie Lu, Kai-Yu Tong |
| 2019 | Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach. Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt, Hao Feng, Giorgos Stoilos, Damir Juric, Mohammad Khodadadi |
| 2019 | Traffic Updates: Saying a Lot While Revealing a Little. John Krumm, Eric Horvitz |
| 2019 | TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents. Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha |
| 2019 | Trainable Undersampling for Class-Imbalance Learning. Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen |
| 2019 | Training Complex Models with Multi-Task Weak Supervision. Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré |
| 2019 | Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students. Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille |
| 2019 | Training Temporal Word Embeddings with a Compass. Valerio Di Carlo, Federico Bianchi, Matteo Palmonari |
| 2019 | TransConv: Relationship Embedding in Social Networks. Yi-Yu Lai, Jennifer Neville, Dan Goldwasser |
| 2019 | TransGate: Knowledge Graph Embedding with Shared Gate Structure. Jun Yuan, Neng Gao, Ji Xiang |
| 2019 | TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua |
| 2019 | Transductive Bounds for the Multi-Class Majority Vote Classifier. Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini |
| 2019 | Transductive Zero-Shot Learning via Visual Center Adaptation. Ziyu Wan, Yan Li, Min Yang, Junge Zhang |
| 2019 | Transfer Learning for Sequence Labeling Using Source Model and Target Data. Lingzhen Chen, Alessandro Moschitti |
| 2019 | Transferable Attention for Domain Adaptation. Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang |
| 2019 | Transferable Curriculum for Weakly-Supervised Domain Adaptation. Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang |
| 2019 | Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction. Wenya Wang, Sinno Jialin Pan |
| 2019 | Transforming Underwriting in the Life Insurance Industry. Marc E. Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears A. Merritt |
| 2019 | Translating with Bilingual Topic Knowledge for Neural Machine Translation. Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao |
| 2019 | Triple Classification Using Regions and Fine-Grained Entity Typing. Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers |
| 2019 | Trust Region Evolution Strategies. Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu |
| 2019 | Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation. Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu |
| 2019 | Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen |
| 2019 | Type Sequence Preserving Heterogeneous Information Network Embedding. Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu |
| 2019 | UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews. Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai |
| 2019 | Unbounded Orchestrations of Transducers for Manufacturing. Natasha Alechina, Tomás Brázdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi |
| 2019 | Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai |
| 2019 | Understanding Actors and Evaluating Personae with Gaussian Embeddings. Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li |
| 2019 | Understanding Dropouts in MOOCs. Wenzheng Feng, Jie Tang, Tracy Xiao Liu |
| 2019 | Understanding Learned Models by Identifying Important Features at the Right Resolution. Kyubin Lee, Akshay Sood, Mark Craven |
| 2019 | Understanding Persuasion Cascades in Online Product Rating Systems. Hong Xie, Yongkun Li, John C. S. Lui |
| 2019 | Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of Chinese. Xiaobing Zhang, Haigang Gong, Xili Dai, Fan Yang, Nianbo Liu, Ming Liu |
| 2019 | Understanding VAEs in Fisher-Shannon Plane. Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang |
| 2019 | Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu |
| 2019 | Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin |
| 2019 | Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity. Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo |
| 2019 | Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier |
| 2019 | Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data. Shizhe Chen, Qin Jin, Alexander G. Hauptmann |
| 2019 | Unsupervised Controllable Text Formalization. Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan |
| 2019 | Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize. Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song |
| 2019 | Unsupervised Domain Adaptation Based on Source-Guided Discrepancy. Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama |
| 2019 | Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations. Atsutoshi Kumagai, Tomoharu Iwata |
| 2019 | Unsupervised Fake News Detection on Social Media: A Generative Approach. Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu |
| 2019 | Unsupervised Feature Selection by Pareto Optimization. Chao Feng, Chao Qian, Ke Tang |
| 2019 | Unsupervised Learning Helps Supervised Neural Word Segmentation. Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si |
| 2019 | Unsupervised Learning with Contrastive Latent Variable Models. Kristen A. Severson, Soumya Ghosh, Kenney Ng |
| 2019 | Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects. Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2019 | Unsupervised Neural Machine Translation with SMT as Posterior Regularization. Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma |
| 2019 | Unsupervised Post-Processing of Word Vectors via Conceptor Negation. Tianlin Liu, Lyle H. Ungar, João Sedoc |
| 2019 | Unsupervised Stylish Image Description Generation via Domain Layer Norm. Cheng-Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun |
| 2019 | Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents. Aditya Siddhant, Anuj Kumar Goyal, Angeliki Metallinou |
| 2019 | Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz |
| 2019 | Using Automated Agents to Teach Negotiation. Emmanuel Johnson |
| 2019 | Using Benson's Algorithm for Regularization Parameter Tracking. Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider |
| 2019 | Utilizing Class Information for Deep Network Representation Shaping. Daeyoung Choi, Wonjong Rhee |
| 2019 | VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System. Abhinav Kumar, Aishwarya Gupta, Bishal Santra, K. S. Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh |
| 2019 | Validation of Growing Knowledge Graphs by Abductive Text Evidences. Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng |
| 2019 | Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling |
| 2019 | Variational Autoencoder with Implicit Optimal Priors. Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi |
| 2019 | Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy. Igor Kiselev |
| 2019 | Verifiable and Interpretable Reinforcement Learning through Program Synthesis. Abhinav Verma |
| 2019 | Verification of RNN-Based Neural Agent-Environment Systems. Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano |
| 2019 | Verifying Robustness of Gradient Boosted Models. Gil Einziger, Maayan Goldstein, Yaniv Sa'ar, Itai Segall |
| 2019 | Very Hard Electoral Control Problems. Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez |
| 2019 | Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos. Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua |
| 2019 | Video Inpainting by Jointly Learning Temporal Structure and Spatial Details. Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang |
| 2019 | Video Object Detection with Locally-Weighted Deformable Neighbors. Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan |
| 2019 | Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM. Haoran Li, Hua Xu |
| 2019 | VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition. Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri |
| 2019 | View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker |
| 2019 | Violence Rating Prediction from Movie Scripts. Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth S. Narayanan |
| 2019 | Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng |
| 2019 | VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis. Quoc-Tuan Truong, Hady W. Lauw |
| 2019 | Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration. Kai Liu, Hua Wang, Fei Han, Hao Zhang |
| 2019 | Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition. Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang |
| 2019 | WAIS: Word Attention for Joint Intent Detection and Slot Filling. Sixuan Chen, Shuai Yu |
| 2019 | WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks. Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui |
| 2019 | Walrasian Dynamics in Multi-Unit Markets. Simina Brânzei, Aris Filos-Ratsikas |
| 2019 | Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. Tingran Gao, Shahab Asoodeh, Yi Huang, James A. Evans |
| 2019 | Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning. Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas S. Huang |
| 2019 | Weakly-Supervised Hierarchical Text Classification. Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han |
| 2019 | Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li |
| 2019 | Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory. Bart Bogaerts |
| 2019 | Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network. Saihui Hou, Zilei Wang |
| 2019 | Weighted Oblique Decision Trees. Bin-Bin Yang, Song-Qing Shen, Wei Gao |
| 2019 | Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe |
| 2019 | What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models. Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James R. Glass |
| 2019 | What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev |
| 2019 | What and Where the Themes Dominate in Image. Xinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan |
| 2019 | What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks. Haohan Wang, Da Sun, Eric P. Xing |
| 2019 | What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System. Mononito Goswami, Shiven Mian, Jack Mostow |
| 2019 | When Do Envy-Free Allocations Exist? Pasin Manurangsi, Warut Suksompong |
| 2019 | When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation. Zhao Wang, Aron Culotta |
| 2019 | Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou |
| 2019 | Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin |
| 2019 | Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. Shuailong Liang, Olivia Nicol, Yue Zhang |
| 2019 | Word Embedding as Maximum A Posteriori Estimation. Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert |
| 2019 | Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors. Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency |
| 2019 | X-DMM: Fast and Scalable Model Based Text Clustering. Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang |
| 2019 | Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker |
| 2019 | You Get What You Share: Incentives for a Sharing Economy. Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi |
| 2019 | Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. Mike Wu, Milan Mossé, Noah D. Goodman, Chris Piech |
| 2019 | Zero-Shot Adaptive Transfer for Conversational Language Understanding. Sungjin Lee, Rahul Jha |
| 2019 | Zero-Shot Neural Transfer for Cross-Lingual Entity Linking. Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell |
| 2019 | Zero-Shot Object Detection with Textual Descriptions. Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil S. Kanhere, Huaxiang Zhang |
| 2019 | eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing. Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana |
| 2019 | f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition. Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost |