| 2020 | 'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia. Brian Jin, Aditya Joshi, Ross Sparks, Stephen Wan, Cécile Paris, C. Raina MacIntyre |
| 2020 | 3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels. Qi Zhang, Antoni B. Chan |
| 2020 | 3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training. Yu Cheng, Bo Yang, Bo Wang, Robby T. Tan |
| 2020 | 3D Human Pose Estimation via Explicit Compositional Depth Maps. Haiping Wu, Bin Xiao |
| 2020 | 3D Shape Completion with Multi-View Consistent Inference. Tao Hu, Zhizhong Han, Matthias Zwicker |
| 2020 | 3D Single-Person Concurrent Activity Detection Using Stacked Relation Network. Yi Wei, Wenbo Li, Yanbo Fan, Linghan Xu, Ming-Ching Chang, Siwei Lyu |
| 2020 | A Bayesian Approach for Estimating Causal Effects from Observational Data. Johan Pensar, Topi Talvitie, Antti Hyttinen, Mikko Koivisto |
| 2020 | A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract). Baokun He, Guihong Wan, Haim Schweitzer |
| 2020 | A Calculus for Stochastic Interventions: Causal Effect Identification and Surrogate Experiments. Juan D. Correa, Elias Bareinboim |
| 2020 | A Cardinal Improvement to Pseudo-Boolean Solving. Jan Elffers, Jakob Nordström |
| 2020 | A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations. Zekun Yang, Juan Feng |
| 2020 | A Character-Centric Neural Model for Automated Story Generation. Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, Rui Yan |
| 2020 | A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang |
| 2020 | A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation. Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian, Feng Lu |
| 2020 | A Commentary on the Unsupervised Learning of Disentangled Representations. Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem |
| 2020 | A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. Niels van der Heijden, Samira Abnar, Ekaterina Shutova |
| 2020 | A Constraint-Based Approach to Learning and Explanation. Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori |
| 2020 | A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract). Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov |
| 2020 | A Dataset for Low-Resource Stylized Sequence-to-Sequence Generation. Yu Wu, Yunli Wang, Shujie Liu |
| 2020 | A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed. Hao Wu, Shuang Hao |
| 2020 | A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier |
| 2020 | A Forest from the Trees: Generation through Neighborhoods. Yang Li, Tianxiang Gao, Junier Oliva |
| 2020 | A Framework for Engineering Human/Agent Teaming Systems. Rick Evertsz, John Thangarajah |
| 2020 | A Framework for Measuring Information Asymmetry. Yakoub Salhi |
| 2020 | A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu |
| 2020 | A General Approach to Fairness with Optimal Transport. Silvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides |
| 2020 | A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces. Anne Lauscher, Goran Glavas, Simone Paolo Ponzetto, Ivan Vulic |
| 2020 | A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian D. Reid |
| 2020 | A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction. Ziqi Ke, Haris Vikalo |
| 2020 | A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux |
| 2020 | A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency. Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen |
| 2020 | A Knowledge Transfer Framework for Differentially Private Sparse Learning. Lingxiao Wang, Quanquan Gu |
| 2020 | A Knowledge-Aware Attentional Reasoning Network for Recommendation. Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo |
| 2020 | A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis. Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim |
| 2020 | A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems. Yanli Liu, Chu-Min Li, Hua Jiang, Kun He |
| 2020 | A Machine Learning Approach to Identify Houses with High Lead Tap Water Concentrations. Seyedsaeed Hajiseyedjavadi, Michael Blackhurst, Hassan A. Karimi |
| 2020 | A MaxSAT-Based Framework for Group Testing. Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S. Meel |
| 2020 | A Multi-Channel Neural Graphical Event Model with Negative Evidence. Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei |
| 2020 | A Multi-Scale Approach for Graph Link Prediction. Lei Cai, Shuiwang Ji |
| 2020 | A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract). Minni Jain, Maitree Leekha, Mononito Goswami |
| 2020 | A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract). Edoardo Savini, Cornelia Caragea |
| 2020 | A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract). Zhijing Wu, Hua Xu |
| 2020 | A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading. Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu |
| 2020 | A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids. Shweta Jain, Sujit Gujar |
| 2020 | A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications. Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman |
| 2020 | A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim |
| 2020 | A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning. Rebecca Eifler, Michael Cashmore, Jörg Hoffmann, Daniele Magazzeni, Marcel Steinmetz |
| 2020 | A New Burrows Wheeler Transform Markov Distance. Edward Raff, Charles Nicholas, Mark McLean |
| 2020 | A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing. Yinglu Liu, Hailin Shi, Hao Shen, Yue Si, Xiaobo Wang, Tao Mei |
| 2020 | A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories. Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet |
| 2020 | A New Framework for Online Testing of Heterogeneous Treatment Effect. Miao Yu, Wenbin Lu, Rui Song |
| 2020 | A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving. Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, L. Jeff Hong |
| 2020 | A Novel Model for Imbalanced Data Classification. Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhi-Jie Wang |
| 2020 | A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems. Moumita Choudhury, Saaduddin Mahmud, Md. Mosaddek Khan |
| 2020 | A Practical Approach to Forgetting in Description Logics with Nominals. Yizheng Zhao, Renate A. Schmidt, Yuejie Wang, Xuanming Zhang, Hao Feng |
| 2020 | A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data. Yinhe Zheng, Rongsheng Zhang, Minlie Huang, Xiaoxi Mao |
| 2020 | A Proposal-Based Approach for Activity Image-to-Video Retrieval. Ruicong Xu, Li Niu, Jianfu Zhang, Liqing Zhang |
| 2020 | A QSAT Benchmark Based on Vertex-Folkman Problems (Student Abstract). David E. Narváez |
| 2020 | A Recurrent Model for Collective Entity Linking with Adaptive Features. Xiaoling Zhou, Yukai Miao, Wei Wang, Jianbin Qin |
| 2020 | A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence. Patrick Shepherd, Judy Goldsmith |
| 2020 | A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang |
| 2020 | A Robust Adversarial Training Approach to Machine Reading Comprehension. Kai Liu, Xin Liu, An Yang, Jing Liu, Jinsong Su, Sujian Li, Qiaoqiao She |
| 2020 | A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract). Thomas Paniagua, John H. Lagergren, Greg Foderaro |
| 2020 | A Simple and Efficient Tensor Calculus. Sören Laue, Matthias Mitterreiter, Joachim Giesen |
| 2020 | A Simple, Fast, and Safe Mediator for Congestion Management. Kei Ikegami, Kyohei Okumura, Takumi Yoshikawa |
| 2020 | A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models. Chi Zhang, Bryant Chen, Judea Pearl |
| 2020 | A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong |
| 2020 | A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtárik |
| 2020 | A System for Medical Information Extraction and Verification from Unstructured Text. Damir Juric, Giorgos Stoilos, André Melo, Jonathan Moore, Mohammad Khodadadi |
| 2020 | A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. Gal Dalal, Balázs Szörényi, Gugan Thoppe |
| 2020 | A Three-Level Optimization Model for Nonlinearly Separable Clustering. Liang Bai, Jiye Liang |
| 2020 | A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains. Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan |
| 2020 | A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search. Vidal Alcázar, Patricia J. Riddle, Mike Barley |
| 2020 | A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning. Peirong Ma, Xiao Hu |
| 2020 | A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes. Dominik Linzner, Heinz Koeppl |
| 2020 | A Variational Point Process Model for Social Event Sequences. Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen |
| 2020 | AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang |
| 2020 | ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo |
| 2020 | ADDMC: Weighted Model Counting with Algebraic Decision Diagrams. Jeffrey M. Dudek, Vu Phan, Moshe Y. Vardi |
| 2020 | AI Trust in Business Processes: The Need for Process-Aware Explanations. Steve T. K. Jan, Vatche Ishakian, Vinod Muthusamy |
| 2020 | AI for Explaining Decisions in Multi-Agent Environments. Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath |
| 2020 | AI for Software Quality Assurance Blue Sky Ideas Talk. Meir Kalech, Roni Stern |
| 2020 | AISpace2: An Interactive Visualization Tool for Learning and Teaching Artificial Intelligence. Chenliang Zhou, Dominic Kuang, Jingru Liu, Hanbo Yang, Zijia Zhang, Alan K. Mackworth, David L. Poole |
| 2020 | ALOHA: Artificial Learning of Human Attributes for Dialogue Agents. Aaron W. Li, Veronica Jiang, Steven Y. Feng, Julia Sprague, Wei Zhou, Jesse Hoey |
| 2020 | ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. Ekagra Ranjan, Soumya Sanyal, Partha P. Talukdar |
| 2020 | AUC Optimization with a Reject Option. Song-Qing Shen, Bin-Bin Yang, Wei Gao |
| 2020 | AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation. Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun |
| 2020 | Abstract Constraints for Safe and Robust Robot Learning from Demonstration. Carl L. Mueller |
| 2020 | Abstract Interpretation of Decision Tree Ensemble Classifiers. Francesco Ranzato, Marco Zanella |
| 2020 | Abstract Rule Based Pattern Learning with Neural Networks. Radha Manisha Kopparti |
| 2020 | Abstraction and Refinement in Games with Dynamic Weighted Terrain. Nathan R. Sturtevant, Devon Sigurdson, Bjorn Taylor, Tim Gibson |
| 2020 | Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks. Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi |
| 2020 | Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony |
| 2020 | Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction. Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song |
| 2020 | Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao |
| 2020 | Accelerating and Improving AlphaZero Using Population Based Training. Ti-Rong Wu, Ting-Han Wei, I-Chen Wu |
| 2020 | Accurate Structured-Text Spotting for Arithmetical Exercise Correction. Yiqing Hu, Yan Zheng, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren |
| 2020 | Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network. Jialin Gao, Zhixiang Shi, Guanshuo Wang, Jiani Li, Yufeng Yuan, Shiming Ge, Xi Zhou |
| 2020 | Achieving Fairness in the Stochastic Multi-Armed Bandit Problem. Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari |
| 2020 | Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation. Rongxiang Weng, Heng Yu, Shujian Huang, Shanbo Cheng, Weihua Luo |
| 2020 | Action Graphs for Goal Recognition Problems with Inaccurate Initial States (Student Abstract). Helen Harman, Pieter Simoens |
| 2020 | Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract). Qing Wan, Yoonsuck Choe |
| 2020 | Actionable Ethics through Neural Learning. Daniele Rossini, Danilo Croce, Sara Mancini, Massimo Pellegrino, Roberto Basili |
| 2020 | Active Goal Recognition. Maayan Shvo, Sheila A. McIlraith |
| 2020 | Active Learning in the Geometric Block Model. Eli Chien, Antonia M. Tulino, Jaime Llorca |
| 2020 | Active Learning with Query Generation for Cost-Effective Text Classification. Yifan Yan, Sheng-Jun Huang, Shaoyi Chen, Meng Liao, Jin Xu |
| 2020 | Active Ordinal Querying for Tuplewise Similarity Learning. Gregory Canal, Stefano Fenu, Christopher Rozell |
| 2020 | ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy |
| 2020 | Actor Critic Deep Reinforcement Learning for Neural Malware Control. Yu Wang, Jack W. Stokes, Mady Marinescu |
| 2020 | AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma |
| 2020 | AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing |
| 2020 | Adabot: Fault-Tolerant Java Decompiler (Student Abstract). Zhiming Li, Qing Wu, Kun Qian |
| 2020 | Adapting Language Models for Non-Parallel Author-Stylized Rewriting. Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma |
| 2020 | Adapting Stable Matchings to Evolving Preferences. Robert Bredereck, Jiehua Chen, Dusan Knop, Junjie Luo, Rolf Niedermeier |
| 2020 | Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization. Guanghui Wang, Shiyin Lu, Yao Hu, Lijun Zhang |
| 2020 | Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian |
| 2020 | Adaptive Convolutional ReLUs. Hongyang Gao, Lei Cai, Shuiwang Ji |
| 2020 | Adaptive Cross-Modal Embeddings for Image-Text Alignment. Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros |
| 2020 | Adaptive Double-Exploration Tradeoff for Outlier Detection. Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou |
| 2020 | Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. Weiyu Cheng, Yanyan Shen, Linpeng Huang |
| 2020 | Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization. Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao |
| 2020 | Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu |
| 2020 | Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. Lior Shani, Yonathan Efroni, Shie Mannor |
| 2020 | Adaptive Two-Dimensional Embedded Image Clustering. Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang |
| 2020 | Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching. Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, Kuiyuan Yang |
| 2020 | Adversarial Attack on Deep Product Quantization Network for Image Retrieval. Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2020 | Adversarial Cross-Domain Action Recognition with Co-Attention. Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles |
| 2020 | Adversarial Deep Network Embedding for Cross-Network Node Classification. Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi |
| 2020 | Adversarial Disentanglement with Grouped Observations. József Németh |
| 2020 | Adversarial Domain Adaptation with Domain Mixup. Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang |
| 2020 | Adversarial Dynamic Shapelet Networks. Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell |
| 2020 | Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments. Yaniv Oshrat, Noa Agmon, Sarit Kraus |
| 2020 | Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang |
| 2020 | Adversarial Localized Energy Network for Structured Prediction. Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang |
| 2020 | Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis. Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu |
| 2020 | Adversarial Transformations for Semi-Supervised Learning. Teppei Suzuki, Ikuro Sato |
| 2020 | Adversarial-Learned Loss for Domain Adaptation. Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai |
| 2020 | Adversarially Robust Distillation. Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein |
| 2020 | Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks. Chetan Kumar, Riazat Ryan, Ming Shao |
| 2020 | Age Progression and Regression with Spatial Attention Modules. Qi Li, Yunfan Liu, Zhenan Sun |
| 2020 | Aggregated Gradient Langevin Dynamics. Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian |
| 2020 | Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang |
| 2020 | Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation. Anthony Hunter, Kawsar Noor |
| 2020 | AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei |
| 2020 | Algorithm-in-the-Loop Decision Making. Ben Green, Yiling Chen |
| 2020 | Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract). Aria Khademi, Vasant G. Honavar |
| 2020 | Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction. Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare |
| 2020 | Algorithms for Manipulating Sequential Allocation. Mingyu Xiao, Jiaxing Ling |
| 2020 | AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon |
| 2020 | Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations. Kai Song, Kun Wang, Heng Yu, Yue Zhang, Zhongqiang Huang, Weihua Luo, Xiangyu Duan, Min Zhang |
| 2020 | All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting. Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu |
| 2020 | All-Pay Bidding Games on Graphs. Guy Avni, Rasmus Ibsen-Jensen, Josef Tkadlec |
| 2020 | Alternating Language Modeling for Cross-Lingual Pre-Training. Jian Yang, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Zhoujun Li, Ming Zhou |
| 2020 | American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract). Yuanqi Du, Nguyen Dang, Riley Wilkerson, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka |
| 2020 | An ADMM Based Framework for AutoML Pipeline Configuration. Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray |
| 2020 | An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin |
| 2020 | An Analysis Framework for Metric Voting based on LP Duality. David Kempe |
| 2020 | An Analytical Workflow for Clustering Forensic Images (Student Abstract). Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus |
| 2020 | An Annotated Corpus of Reference Resolution for Interpreting Common Grounding. Takuma Udagawa, Akiko Aizawa |
| 2020 | An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen |
| 2020 | An Attention-Based Graph Neural Network for Heterogeneous Structural Learning. Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye |
| 2020 | An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng |
| 2020 | An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract). U-Ju Gim, Jae-Jun Lee, Jeong-Hun Kim, Young-Ho Park, Aziz Nasridinov |
| 2020 | An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi |
| 2020 | An Efficient Algorithm for Counting Markov Equivalent DAGs. Robert Ganian, Thekla Hamm, Topi Talvitie |
| 2020 | An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints. Chao Bian, Chao Feng, Chao Qian, Yang Yu |
| 2020 | An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. Giyoung Jeon, Haedong Jeong, Jaesik Choi |
| 2020 | An Efficient Framework for Dense Video Captioning. Maitreya Suin, A. N. Rajagopalan |
| 2020 | An Empirical Study of Content Understanding in Conversational Question Answering. Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen |
| 2020 | An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer |
| 2020 | An Experimental Ethics Approach to Robot Ethics Education. Thomas Emrys Williams, Qin Zhu, Daniel H. Grollman |
| 2020 | An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint. Ehsan Amid, Manfred K. Warmuth |
| 2020 | An Information-Theoretic Quantification of Discrimination with Exempt Features. Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover |
| 2020 | An Integrated Enhancement Solution for 24-Hour Colorful Imaging. Feifan Lv, Yinqiang Zheng, Yicheng Li, Feng Lu |
| 2020 | An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems. Nawal Benabbou, Cassandre Leroy, Thibaut Lust |
| 2020 | An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies. Mirco Mutti, Marcello Restelli |
| 2020 | An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract). Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney |
| 2020 | An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation. Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao |
| 2020 | An Objective for Hierarchical Clustering in Euclidean Space and Its Connection to Bisecting K-means. Yuyan Wang, Benjamin Moseley |
| 2020 | An Operational Semantics for True Concurrency in BDI Agent Systems. Lavindra de Silva |
| 2020 | An Ordinal Data Clustering Algorithm with Automated Distance Learning. Yiqun Zhang, Yiu-ming Cheung |
| 2020 | Analog Accelerator for Simulation and Diagnostics. Alexander Feldman, Ion Matei, Emil Totev, Johan de Kleer |
| 2020 | Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms. Ulle Endriss |
| 2020 | Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract). Anjali Bhavan, Mohit Sharma, Ramit Sawhney, Rajiv Ratn Shah |
| 2020 | Answering Conjunctive Queries with Inequalities in Gianluca Cima, Maurizio Lenzerini, Antonella Poggi |
| 2020 | Appearance and Motion Enhancement for Video-Based Person Re-Identification. Shuzhao Li, Huimin Yu, Haoji Hu |
| 2020 | Apprenticeship Learning via Frank-Wolfe. Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour |
| 2020 | Approval-Based Apportionment. Markus Brill, Paul Gölz, Dominik Peters, Ulrike Schmidt-Kraepelin, Kai Wilker |
| 2020 | Are Noisy Sentences Useless for Distant Supervised Relation Extraction? Yuming Shang, He Yan Huang, Xianling Mao, Xin Sun, Wei Wei |
| 2020 | Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu |
| 2020 | Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles. Shayok Chakraborty |
| 2020 | Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products. Haoran Li, Peng Yuan, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2020 | Assessing Ethical Thinking about AI. Judy Goldsmith, Emanuelle Burton, David M. Dueber, Beth Goldstein, Shannon Sampson, Michael D. Toland |
| 2020 | Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa |
| 2020 | Associating Natural Language Comment and Source Code Entities. Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li |
| 2020 | Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators. Dae Ung Jo, Byeongju Lee, Jongwon Choi, Haanju Yoo, Jin Young Choi |
| 2020 | Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li |
| 2020 | Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo |
| 2020 | Asymptotic Risk of Bézier Simplex Fitting. Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada |
| 2020 | Asymptotically Unambitious Artificial General Intelligence. Michael K. Cohen, Badri N. Vellambi, Marcus Hutter |
| 2020 | AtLoc: Attention Guided Camera Localization. Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham |
| 2020 | Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. Ruohan Zhang, Calen Walshe, Zhuode Liu, Lin Guan, Karl S. Muller, Jake Alden Whritner, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard |
| 2020 | Attending to Entities for Better Text Understanding. Pengxiang Cheng, Katrin Erk |
| 2020 | Attention Based Data Hiding with Generative Adversarial Networks. Chong Yu |
| 2020 | Attention-Based Multi-Modal Fusion Network for Semantic Scene Completion. Siqi Li, Changqing Zou, Yipeng Li, Xibin Zhao, Yue Gao |
| 2020 | Attention-Based View Selection Networks for Light-Field Disparity Estimation. Yu-Ju Tsai, Yu-Lun Liu, Ming Ouhyoung, Yung-Yu Chuang |
| 2020 | Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation. Xin Wang, Ying Wang, Yunzhi Ling |
| 2020 | Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems. Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Peng Xu, Pascale Fung |
| 2020 | Attention-over-Attention Field-Aware Factorization Machine. Zhibo Wang, Jinxin Ma, Yongquan Zhang, Qian Wang, Ju Ren, Peng Sun |
| 2020 | Attentive Experience Replay. Peiquan Sun, Wengang Zhou, Houqiang Li |
| 2020 | Attentive User-Engaged Adversarial Neural Network for Community Question Answering. Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei |
| 2020 | Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation. Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng |
| 2020 | Attribute Noise Robust Binary Classification (Student Abstract). Aditya Petety, Sandhya Tripathi, N. Hemachandra |
| 2020 | Attribute Propagation Network for Graph Zero-Shot Learning. Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2020 | Augmenting the Power of (Partial) MaxSat Resolution with Extension. Javier Larrosa, Emma Rollon |
| 2020 | Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang |
| 2020 | Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen |
| 2020 | AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye |
| 2020 | AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection. Xu Chen, Brett Wujek |
| 2020 | AutoRemover: Automatic Object Removal for Autonomous Driving Videos. Rong Zhang, Wei Li, Peng Wang, Chenye Guan, Jin Fang, Yuhang Song, Jinhui Yu, Baoquan Chen, Weiwei Xu, Ruigang Yang |
| 2020 | AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen |
| 2020 | Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy. Ian Beaver, Abdullah Mueen |
| 2020 | Automated Spectral Kernel Learning. Jian Li, Yong Liu, Weiping Wang |
| 2020 | Automated Synthesis of Social Laws in STRIPS. Ronen Nir, Alexander Shleyfman, Erez Karpas |
| 2020 | Automated Utterance Generation. Soham Parikh, Quaizar Vohra, Mitul Tiwari |
| 2020 | Automatic Building and Labeling of HD Maps with Deep Learning. Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang |
| 2020 | Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors. Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu |
| 2020 | Automatic Fact-Guided Sentence Modification. Darsh J. Shah, Tal Schuster, Regina Barzilay |
| 2020 | Automatic Generation of Headlines for Online Math Questions. Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles |
| 2020 | Automatic Text-Based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings (Student Abstract). Hang Jiang, Xianzhe Zhang, Jinho D. Choi |
| 2020 | Automatic Verification of Liveness Properties in the Situation Calculus. Jian Li, Yongmei Liu |
| 2020 | Automatically Neutralizing Subjective Bias in Text. Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang |
| 2020 | AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses. Tong Niu, Mohit Bansal |
| 2020 | BAR - A Reinforcement Learning Agent for Bounding-Box Automated Refinement. Morgane Ayle, Jimmy Tekli, Julia El Zini, Boulos El Asmar, Mariette Awad |
| 2020 | BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor |
| 2020 | Back to the Future - Temporal Adaptation of Text Representations. Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein |
| 2020 | Back to the Future for Dialogue Research. Philip R. Cohen |
| 2020 | Background Suppression Network for Weakly-Supervised Temporal Action Localization. Pilhyeon Lee, Youngjung Uh, Hyeran Byun |
| 2020 | Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation. Tianxiang Zhao, Lemao Liu, Guoping Huang, Huayang Li, Yingling Liu, Guiquan Liu, Shuming Shi |
| 2020 | Balancing Spreads of Influence in a Social Network. Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert |
| 2020 | Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours. Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan |
| 2020 | BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract). Donghyeon Lee, Man-Je Kim, Chang Wook Ahn |
| 2020 | Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues. Youngsoo Jang, Jongmin Lee, Kee-Eung Kim |
| 2020 | Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract). Xiao Liu, Jing Zhao, Shiliang Sun |
| 2020 | Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract). Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson |
| 2020 | Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh |
| 2020 | Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization. Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu |
| 2020 | Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy. Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill |
| 2020 | Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search. Maximilian Fickert, Tianyi Gu, Leonhard Staut, Wheeler Ruml, Jörg Hoffmann, Marek Petrik |
| 2020 | Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima |
| 2020 | Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World. Kaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho, Yier Jin |
| 2020 | Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu |
| 2020 | Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem. Hugo Gilbert, Tom Portoleau, Olivier Spanjaard |
| 2020 | Beyond Trees: Analysis and Convergence of Belief Propagation in Graphs with Multiple Cycles. Roie Zivan, Omer Lev, Rotem Galiki |
| 2020 | Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling. Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao |
| 2020 | Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs. Efthymia Tsamoura, Víctor Gutiérrez-Basulto, Angelika Kimmig |
| 2020 | Bi-Directional Generation for Unsupervised Domain Adaptation. Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding |
| 2020 | Bi-Level Actor-Critic for Multi-Agent Coordination. Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang |
| 2020 | Bi-Objective Continual Learning: Learning 'New' While Consolidating 'Known'. Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Yihong Gong |
| 2020 | Bidding in Smart Grid PDAs: Theory, Analysis and Strategy. Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat |
| 2020 | Binarized Neural Architecture Search. Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji |
| 2020 | Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks. Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov |
| 2020 | Biologically Plausible Sequence Learning with Spiking Neural Networks. Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin |
| 2020 | Bivariate Beta-LSTM. Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon |
| 2020 | Blameworthiness in Security Games. Pavel Naumov, Jia Tao |
| 2020 | Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng |
| 2020 | Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition. Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, Fei Huang |
| 2020 | Bounded Incentives in Manipulating the Probabilistic Serial Rule. Zihe Wang, Zhide Wei, Jie Zhang |
| 2020 | Bounding Regret in Empirical Games. Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh |
| 2020 | Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems. Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti |
| 2020 | Brain-Mediated Transfer Learning of Convolutional Neural Networks. Satoshi Nishida, Yusuke Nakano, Antoine Blanc, Naoya Maeda, Masataka Kado, Shinji Nishimoto |
| 2020 | Breakdown Detection in Negotiation Dialogues (Student Abstract). Atsuki Yamaguchi, Katsuhide Fujita |
| 2020 | Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin |
| 2020 | Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation. Chengyi Wang, Yu Wu, Shujie Liu, Zhenglu Yang, Ming Zhou |
| 2020 | Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer |
| 2020 | Bursting the Filter Bubble: Fairness-Aware Network Link Prediction. Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian |
| 2020 | CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator. Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan |
| 2020 | CASE: Context-Aware Semantic Expansion. Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi |
| 2020 | CASIE: Extracting Cybersecurity Event Information from Text. Taneeya Satyapanich, Francis Ferraro, Tim Finin |
| 2020 | CASTER: Predicting Drug Interactions with Chemical Substructure Representation. Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun |
| 2020 | CAWA: An Attention-Network for Credit Attribution. Saurav Manchanda, George Karypis |
| 2020 | CAiRE: An End-to-End Empathetic Chatbot. Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung |
| 2020 | CBNet: A Novel Composite Backbone Network Architecture for Object Detection. Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling |
| 2020 | CD-UAP: Class Discriminative Universal Adversarial Perturbation. Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon |
| 2020 | CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory. Yi Xu, Jing Yang, Shaoyi Du |
| 2020 | CFGNN: Cross Flow Graph Neural Networks for Question Answering on Complex Tables. Xuanyu Zhang |
| 2020 | CG-GAN: An Interactive Evolutionary GAN-Based Approach for Facial Composite Generation. Nicola Zaltron, Luisa Zurlo, Sebastian Risi |
| 2020 | CGD: Multi-View Clustering via Cross-View Graph Diffusion. Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao |
| 2020 | CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation. Junsong Fan, Zhaoxiang Zhang, Tieniu Tan, Chunfeng Song, Jun Xiao |
| 2020 | COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. Leonid Zeynalvand, Tie Luo, Jie Zhang |
| 2020 | CONAN: Complementary Pattern Augmentation for Rare Disease Detection. Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao |
| 2020 | CORAL-DMOEA: Correlation Alignment-Based Information Transfer for Dynamic Multi-Objective Optimization (Student Abstract). Li Chen, Hua Xu |
| 2020 | CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. Tianfan Fu, Cao Xiao, Jimeng Sun |
| 2020 | COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment. Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2020 | CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation. Caterina Lacerra, Michele Bevilacqua, Tommaso Pasini, Roberto Navigli |
| 2020 | CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion. Xinjing Cheng, Peng Wang, Chenye Guan, Ruigang Yang |
| 2020 | Cakewalk Sampling. Uri Patish, Shimon Ullman |
| 2020 | Calorie Estimation in a Real-World Recipe Service. Jun Harashima, Makoto Hiramatsu, Satoshi Sanjo |
| 2020 | Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer! Claudia Schulz, Damir Juric |
| 2020 | Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory. Hiep V. Le, Tsuyoshi Murata, Masato Iguchi |
| 2020 | Can We Predict the Election Outcome from Sampled Votes? Evi Micha, Nisarg Shah |
| 2020 | Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract). Jiaming Zeng, Imon Banerjee, Michael Francis Gensheimer, Daniel L. Rubin |
| 2020 | Capsule Routing via Variational Bayes. Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias |
| 2020 | Capturing Greater Context for Question Generation. Luu Anh Tuan, Darsh J. Shah, Regina Barzilay |
| 2020 | Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao |
| 2020 | Capturing the Style of Fake News. Piotr Przybyla |
| 2020 | Cascading Convolutional Color Constancy. Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia |
| 2020 | CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation. Zhiyue Liu, Jiahai Wang, Zhiwei Liang |
| 2020 | Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets. Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour |
| 2020 | Causal Knowledge Extraction through Large-Scale Text Mining. Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz |
| 2020 | Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift. Jalal Etesami, Philipp Geiger |
| 2020 | Causally Denoise Word Embeddings Using Half-Sibling Regression. Zekun Yang, Tianlin Liu |
| 2020 | Chain Length and CSPs Learnable with Few Queries. Christian Bessiere, Clément Carbonnel, George Katsirelos |
| 2020 | Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations. Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler |
| 2020 | Channel Attention Is All You Need for Video Frame Interpolation. Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee |
| 2020 | Channel Interaction Networks for Fine-Grained Image Categorization. Yu Gao, Xintong Han, Xun Wang, Weilin Huang, Matthew R. Scott |
| 2020 | Channel Pruning Guided by Classification Loss and Feature Importance. Jinyang Guo, Wanli Ouyang, Dong Xu |
| 2020 | Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou |
| 2020 | Checking Chase Termination over Ontologies of Existential Rules with Equality. David Carral, Jacopo Urbani |
| 2020 | Chemical and Textual Embeddings for Drug Repurposing. Galia Nordon, Levi Gottlieb, Kira Radinsky |
| 2020 | Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules. Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar |
| 2020 | CircleNet for Hip Landmark Detection. Hai Wu, Hongtao Xie, Chuanbin Liu, Zheng-Jun Zha, Jun Sun, Yongdong Zhang |
| 2020 | Clarity: Data-Driven Automatic Assessment of Product Competitiveness. Sheema Usmani, Mariana Bernagozzi, Yufeng Huang, Michelle Morales, Amir Sabet Sarvestani, Biplav Srivastava |
| 2020 | Class Prior Estimation with Biased Positives and Unlabeled Examples. Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac |
| 2020 | Clearing Kidney Exchanges via Graph Neural Network Guided Tree Search (Student Abstract). Zeyu Zhao, John P. Dickerson |
| 2020 | Clouseau: Generating Communication Protocols from Commitments. Munindar P. Singh, Amit K. Chopra |
| 2020 | Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension. Xiaorui Zhou, Senlin Luo, Yunfang Wu |
| 2020 | Co-GCN for Multi-View Semi-Supervised Learning. Shu Li, Wen-Tao Li, Wei Wang |
| 2020 | Co-Occurrence Estimation from Aggregated Data with Auxiliary Information. Tomoharu Iwata, Naoki Marumo |
| 2020 | CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. Arjun R. Akula, Shuai Wang, Song-Chun Zhu |
| 2020 | Coalitional Strategic Behaviour in Collective Decision Making. Grzegorz Lisowski |
| 2020 | Coarse Correlation in Extensive-Form Games. Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm |
| 2020 | Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression. Yueyu Hu, Wenhan Yang, Jiaying Liu |
| 2020 | Coding in the Liberal Arts through Natural Language Processing and Machine Learning. Ursula Wolz, Jennifer Wilson |
| 2020 | Cognitive Compliance: Assessing Regulatory Risk in Financial Advice Documents. Wanita Sherchan, Sue Ann Chen, Simon Harris, Nebula Alam, Khoi-Nguyen Tran, Christopher J. Butler |
| 2020 | Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning. Binyuan Hui, Pengfei Zhu, Qinghua Hu |
| 2020 | Collaborative Sampling in Generative Adversarial Networks. Yuejiang Liu, Parth Kothari, Alexandre Alahi |
| 2020 | Collective Information. Ulle Endriss |
| 2020 | Combating False Negatives in Adversarial Imitation Learning (Student Abstract). Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio |
| 2020 | Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract). Xili Wang, Hua Xu, Xiaomin Sun, Guangcan Tao |
| 2020 | Combining Machine Learning Models Using combo Library. Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding |
| 2020 | Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting. Antonio Bevilacqua, Giovanni Ciampi, Rob Argent, Brian Caulfield, M. Tahar Kechadi |
| 2020 | Commonsense Knowledge Base Completion with Structural and Semantic Context. Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi |
| 2020 | Communication Learning via Backpropagation in Discrete Channels with Unknown Noise. Benjamin Freed, Guillaume Sartoretti, Jiaheng Hu, Howie Choset |
| 2020 | Communication, Distortion, and Randomness in Metric Voting. David Kempe |
| 2020 | Compact Autoregressive Network. Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian |
| 2020 | Comparing Election Methods Where Each Voter Ranks Only Few Candidates. Matthias Bentert, Piotr Skowron |
| 2020 | Complementary Auxiliary Classifiers for Label-Conditional Text Generation. Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao |
| 2020 | Complementary-View Multiple Human Tracking. Ruize Han, Wei Feng, Jiewen Zhao, Zicheng Niu, Yujun Zhang, Liang Wan, Song Wang |
| 2020 | Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract). Belainine Billal, Fatiha Sadat, Hakim Lounis |
| 2020 | Complexity and Expressive Power of Disjunction and Negation in Limit Datalog. Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Ian Horrocks |
| 2020 | Complexity of Computing the Shapley Value in Games with Externalities. Oskar Skibski |
| 2020 | Compressed Self-Attention for Deep Metric Learning. Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du |
| 2020 | Computing Equilibria in Binary Networked Public Goods Games. Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik |
| 2020 | Computing Superior Counter-Examples for Conformant Planning. Xiaodi Zhang, Alban Grastien, Enrico Scala |
| 2020 | Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. Youzhi Zhang, Bo An |
| 2020 | ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao |
| 2020 | Conclusion-Supplement Answer Generation for Non-Factoid Questions. Makoto Nakatsuji, Sohei Okui |
| 2020 | Conditional Generative Neural Decoding with Structured CNN Feature Prediction. Changde Du, Changying Du, Lijie Huang, Huiguang He |
| 2020 | Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. Siddharth Roheda, Hamid Krim |
| 2020 | Consistent Video Style Transfer via Compound Regularization. Wenjing Wang, Jizheng Xu, Li Zhang, Yue Wang, Jiaying Liu |
| 2020 | Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract). Ting-En Lin, Hua Xu, Hanlei Zhang |
| 2020 | Constraint Programming for an Efficient and Flexible Block Modeling Solver. Alex Lucía Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus |
| 2020 | Constructing Minimal Perfect Hash Functions Using SAT Technology. Sean A. Weaver, Marijn Heule |
| 2020 | Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang |
| 2020 | Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs (Student Abstract). Yupeng Zhou, Rongjie Yan, Anyu Cai, Yige Yan, Minghao Yin |
| 2020 | Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries. Hao Wang, Cheng Deng, Fan Ma, Yi Yang |
| 2020 | Context-Aware Zero-Shot Recognition. Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang |
| 2020 | Context-Transformer: Tackling Object Confusion for Few-Shot Detection. Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao |
| 2020 | Contextual Parameter Generation for Knowledge Graph Link Prediction. George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos |
| 2020 | Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests. Xiao Xu, Fang Dong, Yanghua Li, Shaojian He, Xin Li |
| 2020 | Contiguous Cake Cutting: Hardness Results and Approximation Algorithms. Paul W. Goldberg, Alexandros Hollender, Warut Suksompong |
| 2020 | Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu |
| 2020 | Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization. Xuan Huo, Ming Li, Zhi-Hua Zhou |
| 2020 | Controlling Neural Machine Translation Formality with Synthetic Supervision. Xing Niu, Marine Carpuat |
| 2020 | Controlling the Amount of Verbatim Copying in Abstractive Summarization. Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu |
| 2020 | Convergence of Opinion Diffusion is PSPACE-Complete. Dmitry Chistikov, Grzegorz Lisowski, Mike Paterson, Paolo Turrini |
| 2020 | Convolutional Hierarchical Attention Network for Query-Focused Video Summarization. Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang |
| 2020 | Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment. Kun Xu, Linfeng Song, Yansong Feng, Yan Song, Dong Yu |
| 2020 | Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin |
| 2020 | CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning. Daojian Zeng, Haoran Zhang, Qianying Liu |
| 2020 | Corpus Wide Argument Mining - A Working Solution. Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim |
| 2020 | Corpus-Level End-to-End Exploration for Interactive Systems. Zhiwen Tang, Grace Hui Yang |
| 2020 | Correcting Predictions for Approximate Bayesian Inference. Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami |
| 2020 | Cost-Accuracy Aware Adaptive Labeling for Active Learning. Ruijiang Gao, Maytal Saar-Tsechansky |
| 2020 | Cost-Effective Incentive Allocation via Structured Counterfactual Inference. Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song |
| 2020 | Count-Based Exploration with the Successor Representation. Marlos C. Machado, Marc G. Bellemare, Michael Bowling |
| 2020 | Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang |
| 2020 | Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment. Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah |
| 2020 | Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan |
| 2020 | Cross-Lingual Natural Language Generation via Pre-Training. Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang |
| 2020 | Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation. Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo |
| 2020 | Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization. Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan |
| 2020 | Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis. Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun |
| 2020 | Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification. Renchun You, Zhiyao Guo, Lei Cui, Xiang Long, Yingze Bao, Shilei Wen |
| 2020 | Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zeng-Guang Hou |
| 2020 | Crowd Counting with Decomposed Uncertainty. Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy |
| 2020 | Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention. Daniel Yue Zhang, Yifeng Huang, Yang Zhang, Dong Wang |
| 2020 | Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach. Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao |
| 2020 | Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang |
| 2020 | Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems. Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang |
| 2020 | D-Agree: Crowd Discussion Support System Based on Automated Facilitation Agent. Takayuki Ito, Shota Suzuki, Naoko Yamaguchi, Tomohiro Nishida, Kentaro Hiraishi, Kai Yoshino |
| 2020 | D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems. Taoxing Pan, Jun Liu, Jie Wang |
| 2020 | D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks. Heng Zhang, Xiaofei Wang, Jiawen Chen, Chenyang Wang, Jianxin Li |
| 2020 | DAMN: Defeasible Reasoning Tool for Multi-Agent Reasoning. Abdelraouf Hecham, Madalina Croitoru, Pierre Bisquert |
| 2020 | DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang |
| 2020 | DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking. Qi Chu, Wanli Ouyang, Bin Liu, Feng Zhu, Nenghai Yu |
| 2020 | DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series. Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong Chi Yuen |
| 2020 | DCMN+: Dual Co-Matching Network for Multi-Choice Reading Comprehension. Shuailiang Zhang, Hai Zhao, Yuwei Wu, Zhuosheng Zhang, Xi Zhou, Xiang Zhou |
| 2020 | DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification. Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni, Ting Liu |
| 2020 | DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation. Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu |
| 2020 | DGE: Deep Generative Network Embedding Based on Commonality and Individuality. Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang |
| 2020 | DIANet: Dense-and-Implicit Attention Network. Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang |
| 2020 | DICR: AI Assisted, Adaptive Platform for Contract Review. Dan G. Tecuci, Ravi Palla, Hamid R. Motahari Nezhad, Nishchal Ahuja, Alex Monteiro, Tigran Ishkhanov, Nigel P. Duffy |
| 2020 | DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog. Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou |
| 2020 | DNNs as Layers of Cooperating Classifiers. Marelie H. Davel, Marthinus W. Theunissen, Arnold M. Pretorius, Etienne Barnard |
| 2020 | DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization. Christabel Wayllace, Sunwoo Ha, Yuchen Han, Jiaming Hu, Shayan Monadjemi, William Yeoh, Alvitta Ottley |
| 2020 | DWM: A Decomposable Winograd Method for Convolution Acceleration. Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen |
| 2020 | Data-Driven Ranking and Visualization of Products by Competitiveness. Sheema Usmani, Mariana Bernagozzi, Yufeng Huang, Michelle Morales, Amir Sabet Sarvestani, Biplav Srivastava |
| 2020 | Day-Ahead Forecasting of Losses in the Distribution Network. Nisha Dalal, Martin Mølnå, Mette Herrem, Magne Røen, Odd Erik Gundersen |
| 2020 | DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan |
| 2020 | Deception through Half-Truths. Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik |
| 2020 | Decidability and Complexity of Action-Based Temporal Planning over Dense Time. Nicola Gigante, Andrea Micheli, Angelo Montanari, Enrico Scala |
| 2020 | Deciding Acceptance in Incomplete Argumentation Frameworks. Andreas Niskanen, Daniel Neugebauer, Matti Järvisalo, Jörg Rothe |
| 2020 | Deciding the Loosely Guarded Fragment and Querying Its Horn Fragment Using Resolution. Sen Zheng, Renate A. Schmidt |
| 2020 | Decoupled Attention Network for Text Recognition. Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, Canjie Luo, Xiaoxue Chen, Yaqiang Wu, Qianying Wang, Mingxiang Cai |
| 2020 | Deep Attentive Ranking Networks for Learning to Order Sentences. Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai |
| 2020 | Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior. Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian Ioan Vasile, Mark Donahue, Daniela Rus |
| 2020 | Deep Camouflage Images. Qing Zhang, Gelin Yin, Yongwei Nie, Wei-Shi Zheng |
| 2020 | Deep Conservative Policy Iteration. Nino Vieillard, Olivier Pietquin, Matthieu Geist |
| 2020 | Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification. Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang |
| 2020 | Deep Domain-Adversarial Image Generation for Domain Generalisation. Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2020 | Deep Embedded Complementary and Interactive Information for Multi-View Classification. Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han |
| 2020 | Deep Embedded Non-Redundant Clustering. Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant |
| 2020 | Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation. Mahmoud Khademi, Oliver Schulte |
| 2020 | Deep Learning-Powered Iterative Combinatorial Auctions. Jakob Weissteiner, Sven Seuken |
| 2020 | Deep Match to Rank Model for Personalized Click-Through Rate Prediction. Zequn Lyu, Yu Dong, Chengfu Huo, Weijun Ren |
| 2020 | Deep Message Passing on Sets. Yifeng Shi, Junier Oliva, Marc Niethammer |
| 2020 | Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang |
| 2020 | Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization. Qi Zhou, Houqiang Li, Jie Wang |
| 2020 | Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization. Shenghe Xu, Shivendra S. Panwar, Murali S. Kodialam, T. V. Lakshman |
| 2020 | Deep Object Co-Segmentation via Spatial-Semantic Network Modulation. Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu |
| 2020 | Deep Poetry: A Chinese Classical Poetry Generation System. Yusen Liu, Dayiheng Liu, Jiancheng Lv |
| 2020 | Deep Ranking for Style-Aware Room Recommendations (Student Abstract). Ilkay Yildiz, Esra Ataer Cansizoglu, Hantian Liu, Peter B. Golbus, Ozan Tezcan, Jae-Woo Choi |
| 2020 | Deep Reinforcement Learning for Active Human Pose Estimation. Erik Gärtner, Aleksis Pirinen, Cristian Sminchisescu |
| 2020 | Deep Reinforcement Learning for General Game Playing. Adrian Goldwaser, Michael Thielscher |
| 2020 | Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection. Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi |
| 2020 | Deep Residual-Dense Lattice Network for Speech Enhancement. Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang |
| 2020 | Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing. Kian Hamedani, Lingjia Liu, Shiya Liu, Haibo He, Yang Yi |
| 2020 | Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution. Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li |
| 2020 | Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen |
| 2020 | DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards. Dingwen Li, Patrick G. Lyons, Chenyang Lu, Marin Kollef |
| 2020 | DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories. Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang |
| 2020 | DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. Chaoran Cheng, Fei Tan, Zhi Wei |
| 2020 | Defending with Shared Resources on a Network. Minming Li, Long Tran-Thanh, Xiaowei Wu |
| 2020 | DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets. Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon |
| 2020 | Delay-Adaptive Distributed Stochastic Optimization. Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam |
| 2020 | Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms. Ruchen Wen, Mohammed Aun Siddiqui, Tom Williams |
| 2020 | Designing Committees for Mitigating Biases. Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz |
| 2020 | Designing Evaluation Rules That Are Robust to Strategic Behavior. Jon M. Kleinberg, Manish Raghavan |
| 2020 | Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge. Bonnie J. Dorr, Archna Bhatia, Adam Dalton, Brodie Mather, Bryanna Hebenstreit, Sashank Santhanam, Zhuo Cheng, Samira Shaikh, Alan Zemel, Tomek Strzalkowski |
| 2020 | Detecting Human-Object Interactions via Functional Generalization. Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa |
| 2020 | Detecting Semantic Anomalies. Faruk Ahmed, Aaron C. Courville |
| 2020 | Detecting Suspicious Timber Trades. Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Amelia Meadows, John Simeone, Willow Outhwaite, Chen Hin Keong, Amy Smith, Linda Walker, Naren Ramakrishnan |
| 2020 | Detecting and Tracking Communal Bird Roosts in Weather Radar Data. Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler |
| 2020 | Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract). Ho-Taek Joo, Kyung-Joong Kim |
| 2020 | Deterministic Value-Policy Gradients. Qingpeng Cai, Ling Pan, Pingzhong Tang |
| 2020 | Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies. Jiaming Zeng |
| 2020 | Developments in Multi-Agent Fair Allocation. Haris Aziz |
| 2020 | Diachronic Embedding for Temporal Knowledge Graph Completion. Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart |
| 2020 | Dialog State Tracking with Reinforced Data Augmentation. Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu |
| 2020 | Diana's World: A Situated Multimodal Interactive Agent. Nikhil Krishnaswamy, Pradyumna Narayana, Rahul Bangar, Kyeongmin Rim, Dhruva Patil, David G. McNeely-White, Jaime Ruiz, Bruce A. Draper, J. Ross Beveridge, James Pustejovsky |
| 2020 | Did That Lost Ballot Box Cost Me a Seat? Computing Manipulations of STV Elections. Michelle L. Blom, Andrew Conway, Peter J. Stuckey, Vanessa J. Teague |
| 2020 | Differentiable Algorithm for Marginalising Changepoints. Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang |
| 2020 | Differentiable Grammars for Videos. A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo |
| 2020 | Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation. Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao |
| 2020 | Differentiable Reasoning on Large Knowledge Bases and Natural Language. Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette |
| 2020 | Differential Equation Units: Learning Functional Forms of Activation Functions from Data. MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis |
| 2020 | Differentially Private Learning with Small Public Data. Jun Wang, Zhi-Hua Zhou |
| 2020 | Differentially Private and Fair Classification via Calibrated Functional Mechanism. Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan |
| 2020 | Discontinuous Constituent Parsing with Pointer Networks. Daniel Fernández-González, Carlos Gómez-Rodríguez |
| 2020 | Discourse Level Factors for Sentence Deletion in Text Simplification. Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li |
| 2020 | Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement. Ting-En Lin, Hua Xu, Hanlei Zhang |
| 2020 | Discovery News: A Generic Framework for Financial News Recommendation. Chong Wang, Lisa Kim, Grace Bang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu |
| 2020 | Discretizing Continuous Action Space for On-Policy Optimization. Yunhao Tang, Shipra Agrawal |
| 2020 | Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. Mononito Goswami, Lujie Chen, Artur Dubrawski |
| 2020 | Discriminative Adversarial Domain Adaptation. Hui Tang, Kui Jia |
| 2020 | Discriminative Sentence Modeling for Story Ending Prediction. Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu |
| 2020 | Discriminative and Robust Online Learning for Siamese Visual Tracking. Jinghao Zhou, Peng Wang, Haoyang Sun |
| 2020 | Distance-Based Equilibria in Normal-Form Games. Erman Acar, Reshef Meir |
| 2020 | Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression. Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren |
| 2020 | Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract). Xingkai Ren, Ronghua Shi, Fangfang Li |
| 2020 | Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo |
| 2020 | Distilling Portable Generative Adversarial Networks for Image Translation. Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu |
| 2020 | Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism. Mingda Wu, Di Huang, Yuanfang Guo, Yunhong Wang |
| 2020 | Distributed Machine Learning through Heterogeneous Edge Systems. Hanpeng Hu, Dan Wang, Chuan Wu |
| 2020 | Distributed Primal-Dual Optimization for Online Multi-Task Learning. Peng Yang, Ping Li |
| 2020 | Distributed Representations for Arithmetic Word Problems. Sowmya S. Sundaram, Deepak P, Savitha Sam Abraham |
| 2020 | Distributed Stochastic Gradient Descent with Event-Triggered Communication. Jemin George, Prudhvi Gurram |
| 2020 | Distributionally Robust Counterfactual Risk Minimization. Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile |
| 2020 | Diversified Bayesian Nonnegative Matrix Factorization. Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao |
| 2020 | Diversified Interactive Recommendation with Implicit Feedback. Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang |
| 2020 | Diversity Transfer Network for Few-Shot Learning. Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xinyu Zhang, Chang Huang, Wenyu Liu, Bo Wang |
| 2020 | Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering. Jianwen Jiang, Ziqiang Chen, Haojie Lin, Xibin Zhao, Yue Gao |
| 2020 | Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm. Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng |
| 2020 | Do Not Have Enough Data? Deep Learning to the Rescue! Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling |
| 2020 | Do Subsampled Newton Methods Work for High-Dimensional Data? Xiang Li, Shusen Wang, Zhihua Zhang |
| 2020 | Doc2Dial: A Framework for Dialogue Composition Grounded in Documents. Song Feng, Kshitij P. Fadnis, Q. Vera Liao, Luis A. Lastras |
| 2020 | Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun |
| 2020 | Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism. Xiyan Fu, Jun Wang, Jinghan Zhang, Jinmao Wei, Zhenglu Yang |
| 2020 | Does Speech Enhancement of Publicly Available Data Help Build Robust Speech Recognition Systems? (Student Abstract). Bhavya Ghai, Buvana Ramanan, Klaus Mueller |
| 2020 | Domain Adaptive Attention Learning for Unsupervised Person Re-Identification. Yangru Huang, Peixi Peng, Yi Jin, Yidong Li, Junliang Xing |
| 2020 | Domain Conditioned Adaptation Network. Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang |
| 2020 | Domain Generalization Using a Mixture of Multiple Latent Domains. Toshihiko Matsuura, Tatsuya Harada |
| 2020 | Domain Knowledge-Assisted Automatic Diagnosis of Idiopathic Pulmonary Fibrosis (IPF) Using High Resolution Computed Tomography (HRCT) (Student Abstract). Wenxi Yu, Hua Zhou, Jonathan G. Goldin, Hyun J. Grace Kim |
| 2020 | Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games. Jan Karwowski, Jacek Mandziuk |
| 2020 | Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder. Meng-Hsuan Yu, Juntao Li, Danyang Liu, Bo Tang, Haisong Zhang, Dongyan Zhao, Rui Yan |
| 2020 | Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK. Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Daniel Bittleston, Siyu Gao, Emily Peterson, John Trezza, Fei Fang |
| 2020 | Dual Adversarial Co-Learning for Multi-Domain Text Classification. Yuan Wu, Yuhong Guo |
| 2020 | Dual Relation Semi-Supervised Multi-Label Learning. Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu |
| 2020 | DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue. Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu |
| 2020 | Dynamic Control of Probabilistic Simple Temporal Networks. Michael Gao, Lindsay Popowski, Jim Boerkoel |
| 2020 | Dynamic Embedding on Textual Networks via a Gaussian Process. Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin |
| 2020 | Dynamic Graph Representation for Occlusion Handling in Biometrics. Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan |
| 2020 | Dynamic Instance Normalization for Arbitrary Style Transfer. Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen |
| 2020 | Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation. Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang |
| 2020 | Dynamic Malware Analysis with Feature Engineering and Feature Learning. Zhaoqi Zhang, Panpan Qi, Wei Wang |
| 2020 | Dynamic Network Pruning with Interpretable Layerwise Channel Selection. Yulong Wang, Xiaolu Zhang, Xiaolin Hu, Bo Zhang, Hang Su |
| 2020 | Dynamic Programming for Predict+Optimise. Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan |
| 2020 | Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments. Yangyang Zhao, Zhenyu Wang, Kai Yin, Rui Zhang, Zhenhua Huang, Pei Wang |
| 2020 | Dynamic Sampling Network for Semantic Segmentation. Bin Fu, Junjun He, Zhengfu Zhang, Yu Qiao |
| 2020 | Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin |
| 2020 | EAC-Net: Efficient and Accurate Convolutional Network for Video Recognition. Bowei Jin, Zhuo Xu |
| 2020 | EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang |
| 2020 | ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System. Huangxun Chen, Chenyu Huang, Qianyi Huang, Qian Zhang, Wei Wang |
| 2020 | EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network. Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang |
| 2020 | EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer. Zhijie Wu, Chunjin Song, Yang Zhou, Minglun Gong, Hui Huang |
| 2020 | EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement. Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li |
| 2020 | EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response. Sarah Masud Preum, Sile Shu, Homa Alemzadeh, John A. Stankovic |
| 2020 | EPOC: Efficient Perception via Optimal Communication. Masoumeh Heidari Kapourchali, Bonny Banerjee |
| 2020 | ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract). Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul |
| 2020 | ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding. Yu Sun, Shuohuan Wang, Yu-Kun Li, Shikun Feng, Hao Tian, Hua Wu, Haifeng Wang |
| 2020 | ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract). Palak Goenka, Mehak Piplani, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah |
| 2020 | Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan |
| 2020 | Effective Data Augmentation with Multi-Domain Learning GANs. Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda |
| 2020 | Effective Decoding in Graph Auto-Encoder Using Triadic Closure. Han Shi, Haozheng Fan, James T. Kwok |
| 2020 | Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction. Tapas Nayak, Hwee Tou Ng |
| 2020 | Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren |
| 2020 | Efficient Automatic CASH via Rising Bandits. Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui |
| 2020 | Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks. Henrique Siqueira, Sven Magg, Stefan Wermter |
| 2020 | Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation. Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma |
| 2020 | Efficient Inference of Optimal Decision Trees. Florent Avellaneda |
| 2020 | Efficient Model-Based Diagnosis of Sequential Circuits. Alexander Feldman, Ingo Pill, Franz Wotawa, Ion Matei, Johan de Kleer |
| 2020 | Efficient Neural Architecture Search via Proximal Iterations. Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu |
| 2020 | Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models. Julissa Villanueva Llerena, Denis Deratani Mauá |
| 2020 | Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian |
| 2020 | Efficient Querying from Weighted Binary Codes. Zhenyu Weng, Yuesheng Zhu |
| 2020 | Efficient Residual Dense Block Search for Image Super-Resolution. Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang |
| 2020 | Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract). Zichao Deng, Anqi Tu, Zelei Liu, Han Yu |
| 2020 | Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis. Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener |
| 2020 | Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String. Atsuyoshi Nakamura, Ichigaku Takigawa, Hiroshi Mamitsuka |
| 2020 | Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory. Kyle Helfrich, Qiang Ye |
| 2020 | ElGolog: A High-Level Programming Language with Memory of the Execution History. Giuseppe De Giacomo, Yves Lespérance, Eugenia Ternovska |
| 2020 | Electing Successive Committees: Complexity and Algorithms. Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier |
| 2020 | Election Control in Social Networks via Edge Addition or Removal. Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti |
| 2020 | ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection. Chenhan Jiang, Shaoju Wang, Xiaodan Liang, Hang Xu, Nong Xiao |
| 2020 | Embedding Compression with Isotropic Iterative Quantization. Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan |
| 2020 | Embedding Convolution Neural Network-Based Defect Finder for Deployed Vision Inspector in Manufacturing Company Frontec. Kyoung Jun Lee, Jun Woo Kwon, Soohong Min, Jungho Yoon |
| 2020 | Embedding High-Level Knowledge into DQNs to Learn Faster and More Safely. Zihang Gao, Fangzhen Lin, Yi Zhou, Hao Zhang, Kaishun Wu, Haodi Zhang |
| 2020 | Emergence of Writing Systems through Multi-Agent Cooperation (Student Abstract). Shresth Verma, Joydip Dhar |
| 2020 | Empirical Bounds on Linear Regions of Deep Rectifier Networks. Thiago Serra, Srikumar Ramalingam |
| 2020 | Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization. Wataru Hirota, Yoshihiko Suhara, Behzad Golshan, Wang-Chiew Tan |
| 2020 | End-to-End Argumentation Knowledge Graph Construction. Khalid Al Khatib, Yufang Hou, Henning Wachsmuth, Charles Jochim, Francesca Bonin, Benno Stein |
| 2020 | End-to-End Bootstrapping Neural Network for Entity Set Expansion. Lingyong Yan, Xianpei Han, Ben He, Le Sun |
| 2020 | End-to-End Game-Focused Learning of Adversary Behavior in Security Games. Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe |
| 2020 | End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking. Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang |
| 2020 | End-to-End Thorough Body Perception for Person Search. Kun Tian, Houjing Huang, Yun Ye, Shiyu Li, Jinbin Lin, Guan Huang |
| 2020 | End-to-End Trainable Non-Collaborative Dialog System. Yu Li, Kun Qian, Weiyan Shi, Zhou Yu |
| 2020 | End-to-End Unpaired Image Denoising with Conditional Adversarial Networks. Zhiwei Hong, Xiaocheng Fan, Tao Jiang, Jianxing Feng |
| 2020 | Energy and Policy Considerations for Modern Deep Learning Research. Emma Strubell, Ananya Ganesh, Andrew McCallum |
| 2020 | Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources. Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin |
| 2020 | Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models. Arindam Mitra, Ishan Shrivastava, Chitta Baral |
| 2020 | Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid. Chien Lu, Jaakko Peltonen |
| 2020 | Enhancing Personalized Trip Recommendation with Attractive Routes. Jiqing Gu, Chao Song, Wenjun Jiang, Xiaomin Wang, Ming Liu |
| 2020 | Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, Jiebo Luo |
| 2020 | Ensembles of Locally Independent Prediction Models. Andrew Slavin Ross, Weiwei Pan, Leo A. Celi, Finale Doshi-Velez |
| 2020 | Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract). Long Bai, Xiaolong Jin, Chuanzhi Zhuang, Xueqi Cheng |
| 2020 | Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues. Zahra Rahimi, Diane J. Litman |
| 2020 | Enumerating Maximal Yi Zhou, Jingwei Xu, Zhenyu Guo, Mingyu Xiao, Yan Jin |
| 2020 | Envelope-Based Approaches to Real-Time Heuristic Search. Kevin C. Gall, Bence Cserna, Wheeler Ruml |
| 2020 | Epistemic Integrity Constraints for Ontology-Based Data Management. Marco Console, Maurizio Lenzerini |
| 2020 | Error-Correcting and Verifiable Parallel Inference in Graphical Models. Negin Karimi, Petteri Kaski, Mikko Koivisto |
| 2020 | Estimating Causal Effects Using Weighting-Based Estimators. Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2020 | Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen |
| 2020 | Estimating Stochastic Linear Combination of Non-Linear Regressions. Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu |
| 2020 | Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms. Tuhin Sahai, Anurag Mishra, Jose Miguel Pasini, Susmit Jha |
| 2020 | Evaluating Commonsense in Pre-Trained Language Models. Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang |
| 2020 | Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman |
| 2020 | Event-Driven Continuous Time Bayesian Networks. Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian |
| 2020 | Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo |
| 2020 | EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson |
| 2020 | Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm. Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda |
| 2020 | Exchangeable Generative Models with Flow Scans. Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Junier Oliva, Manzil Zaheer |
| 2020 | Experimental Design for Optimization of Orthogonal Projection Pursuit Models. Mojmir Mutny, Johannes Kirschner, Andreas Krause |
| 2020 | Explainability in Autonomous Pedagogical Agents. Silvia Tulli |
| 2020 | Explainable Agency in Reinforcement Learning Agents. Prashan Madumal |
| 2020 | Explainable Data Decompositions. Sebastian Dalleiger, Jilles Vreeken |
| 2020 | Explainable Reinforcement Learning through a Causal Lens. Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere |
| 2020 | Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi |
| 2020 | Explaining Propagators for String Edit Distance Constraints. Felix Winter, Nysret Musliu, Peter J. Stuckey |
| 2020 | Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA. Badri N. Patro, Anupriy, Vinay P. Namboodiri |
| 2020 | Explanations for Inconsistency-Tolerant Query Answering under Existential Rules. Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro |
| 2020 | Explicit Sentence Compression for Neural Machine Translation. Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao |
| 2020 | Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection. Yongri Piao, Zhengkun Rong, Miao Zhang, Huchuan Lu |
| 2020 | Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber |
| 2020 | Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang |
| 2020 | Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. Eric Crawford, Joelle Pineau |
| 2020 | Exploratory Combinatorial Optimization with Reinforcement Learning. Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky |
| 2020 | Exploratory Navigation and Selective Reading. Natwar Modani, Paridhi Maheshwari, Harsh Deshpande, Saurab Sirpurkar, Diviya, Somak Aditya |
| 2020 | Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract). Gabriele Galfré, Cornelia Caragea |
| 2020 | Exploring the Benefits of Depth Information in Object Pixel Masking (Student Abstract). Anish Kachinthaya, Yi Ding, Tobias Höllerer |
| 2020 | Exponential Family Graph Embeddings. Abdulkadir Çelikkanat, Fragkiskos D. Malliaros |
| 2020 | Expressing Objects Just Like Words: Recurrent Visual Embedding for Image-Text Matching. Tianlang Chen, Jiebo Luo |
| 2020 | FACT: Fused Attention for Clothing Transfer with Generative Adversarial Networks. Yicheng Zhang, Lei Li, Li Song, Rong Xie, Wenjun Zhang |
| 2020 | FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition. Jing Yang, Adrian Bulat, Georgios Tzimiropoulos |
| 2020 | FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection. Jiangqiao Yan, Yue Zhang, Zhonghan Chang, Tengfei Zhang, Menglong Yan, Wenhui Diao, Hongqi Wang, Xian Sun |
| 2020 | FASTER Recurrent Networks for Efficient Video Classification. Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang |
| 2020 | FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing. Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao |
| 2020 | FDN: Feature Decoupling Network for Head Pose Estimation. Hao Zhang, Mengmeng Wang, Yong Liu, Yi Yuan |
| 2020 | FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization. Wei Li, Yongxing He, Yanwei Qi, Zejian Li, Yongchuan Tang |
| 2020 | FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, Huizhu Jia |
| 2020 | FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-Scale Temporal Loss. Soo Ye Kim, Jihyong Oh, Munchurl Kim |
| 2020 | FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis. Kuangxiao Gu, Yuqian Zhou, Thomas S. Huang |
| 2020 | FPETS: Fully Parallel End-to-End Text-to-Speech System. Dabiao Ma, Zhiba Su, Wenxuan Wang, Yuhao Lu |
| 2020 | Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. Yingruo Fan, Jacqueline C. K. Lam, Victor On Kwok Li |
| 2020 | Facial Attribute Capsules for Noise Face Super Resolution. Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li |
| 2020 | Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives. Haris Aziz, Hau Chan, Barton Lee, Bo Li, Toby Walsh |
| 2020 | Fact-Aware Sentence Split and Rephrase with Permutation Invariant Training. Yinuo Guo, Tao Ge, Furu Wei |
| 2020 | Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. Zhi-Xuan Tan, Harold Soh, Desmond C. Ong |
| 2020 | Fair Division Through Information Withholding. Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Hejun Wang, Lirong Xia |
| 2020 | Fair Division of Mixed Divisible and Indivisible Goods. Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu |
| 2020 | Fair Procedures for Fair Stable Marriage Outcomes. Nikolaos Tziavelis, Ioannis Giannakopoulos, Rune Quist Johansen, Katerina Doka, Nectarios Koziris, Panagiotis Karras |
| 2020 | Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi |
| 2020 | Fairness Does Not Imply Satisfaction (Student Abstract). Andrew Searns, Hadi Hosseini |
| 2020 | Fairness for Robust Log Loss Classification. Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart |
| 2020 | Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data. Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy |
| 2020 | Fairness-Aware Demand Prediction for New Mobility. An Yan, Bill Howe |
| 2020 | FairyTED: A Fair Rating Predictor for TED Talk Data. Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer |
| 2020 | Faking Fairness via Stealthily Biased Sampling. Kazuto Fukuchi, Satoshi Hara, Takanori Maehara |
| 2020 | Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen |
| 2020 | Fast Learning of Temporal Action Proposal via Dense Boundary Generator. Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji |
| 2020 | Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting. Daniel Zeiberg, Shantanu Jain, Predrag Radivojac |
| 2020 | Fast and Deep Graph Neural Networks. Claudio Gallicchio, Alessio Micheli |
| 2020 | Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation. Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang |
| 2020 | Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation. Tianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan |
| 2020 | FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo |
| 2020 | Fastened CROWN: Tightened Neural Network Robustness Certificates. Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel |
| 2020 | Fatigue-Aware Bandits for Dependent Click Models. Junyu Cao, Wei Sun, Zuo-Jun Max Shen, Markus Ettl |
| 2020 | Favorite-Candidate Voting for Eliminating the Least Popular Candidate in a Metric Space. Xujin Chen, Minming Li, Chenhao Wang |
| 2020 | Feature Deformation Meta-Networks in Image Captioning of Novel Objects. Tingjia Cao, Ke Han, Xiaomei Wang, Lin Ma, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue |
| 2020 | Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks. Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang |
| 2020 | FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang |
| 2020 | Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. Yansheng Wang, Yongxin Tong, Dingyuan Shi |
| 2020 | Federated Learning for Vision-and-Language Grounding Problems. Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou |
| 2020 | Federated Patient Hashing. Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang |
| 2020 | Feedback-Based Self-Learning in Large-Scale Conversational AI Agents. Pragaash Ponnusamy, Alireza Roshan Ghias, Chenlei Guo, Ruhi Sarikaya |
| 2020 | Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract). Zhuoyi Wang, Yigong Wang, Yu Lin, Bo Dong, Hemeng Tao, Latifur Khan |
| 2020 | Few Shot Network Compression via Cross Distillation. Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu |
| 2020 | Few-Shot Bayesian Imitation Learning with Logical Program Policies. Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum |
| 2020 | Few-Shot Knowledge Graph Completion. Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla |
| 2020 | Filling Conversation Ellipsis for Better Social Dialog Understanding. Xiyuan Zhang, Chengxi Li, Dian Yu, Samuel Davidson, Zhou Yu |
| 2020 | Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization. Chuanbin Liu, Hongtao Xie, Zheng-Jun Zha, Lingfeng Ma, Lingyun Yu, Yongdong Zhang |
| 2020 | Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks. Yingying Zhang, Junyu Gao, Xiaoshan Yang, Chang Liu, Yan Li, Changsheng Xu |
| 2020 | Finding Action Tubes with a Sparse-to-Dense Framework. Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu |
| 2020 | Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining. Hongbo Li, Jimmy Lee, He Mi, Minghao Yin |
| 2020 | Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes. Binglin Tao, Mingyu Xiao, Jingyang Zhao |
| 2020 | Finding Most Compatible Phylogenetic Trees over Multi-State Characters. Tuukka Korhonen, Matti Järvisalo |
| 2020 | Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik |
| 2020 | Fine-Grained Argument Unit Recognition and Classification. Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych |
| 2020 | Fine-Grained Entity Typing for Domain Independent Entity Linking. Yasumasa Onoe, Greg Durrett |
| 2020 | Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network. Zhe Ma, Jianfeng Dong, Zhongzi Long, Yao Zhang, Yuan He, Hui Xue, Shouling Ji |
| 2020 | Fine-Grained Machine Teaching with Attention Modeling. Jiacheng Liu, Xiaofeng Hou, Feilong Tang |
| 2020 | Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations. Muhammad Asif Ali, Yifang Sun, Bing Li, Wei Wang |
| 2020 | Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes. Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao |
| 2020 | Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu |
| 2020 | Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves |
| 2020 | FlowScope: Spotting Money Laundering Based on Graphs. Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng |
| 2020 | Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract). Quan Zhou, Xiushan Nie, Yang Shi, Xingbo Liu, Yilong Yin |
| 2020 | Forgetting an Argument. Ringo Baumann, Dov M. Gabbay, Odinaldo Rodrigues |
| 2020 | Forgetting to Learn Logic Programs. Andrew Cropper |
| 2020 | FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints. Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang |
| 2020 | Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin |
| 2020 | Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel. Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat |
| 2020 | Frame-Guided Region-Aligned Representation for Video Person Re-Identification. Zengqun Chen, Zhiheng Zhou, Junchu Huang, Pengyu Zhang, Bo Li |
| 2020 | From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao |
| 2020 | Fully Convolutional Network for Consistent Voxel-Wise Correspondence. Yungeng Zhang, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha |
| 2020 | Functionality Discovery and Prediction of Physical Objects. Lei Ji, Botian Shi, Xianglin Guo, Xilin Chen |
| 2020 | Further Understanding Videos through Adverbs: A New Video Task. Bo Pang, Kaiwen Zha, Yifan Zhang, Cewu Lu |
| 2020 | FusionDN: A Unified Densely Connected Network for Image Fusion. Han Xu, Jiayi Ma, Zhuliang Le, Junjun Jiang, Xiaojie Guo |
| 2020 | FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English. Anthony Rios |
| 2020 | F³Net: Fusion, Feedback and Focus for Salient Object Detection. Jun Wei, Shuhui Wang, Qingming Huang |
| 2020 | GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering. Yiming Gao, Jiangqin Wu |
| 2020 | GDFace: Gated Deformation for Multi-View Face Image Synthesis. Xuemiao Xu, Keke Li, Cheng Xu, Shengfeng He |
| 2020 | GENO - Optimization for Classical Machine Learning Made Fast and Easy. Sören Laue, Matthias Mitterreiter, Joachim Giesen |
| 2020 | GMAN: A Graph Multi-Attention Network for Traffic Prediction. Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi |
| 2020 | GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response. M. Arif Imtiazur Rahman, Sarah Masud Preum, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic |
| 2020 | GRET: Global Representation Enhanced Transformer. Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen |
| 2020 | GSSNN: Graph Smoothing Splines Neural Networks. Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang |
| 2020 | GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition. Wenyang Hu, Xiaocong Cai, Jun Hou, Shuai Yi, Zhiping Lin |
| 2020 | GTNet: Generative Transfer Network for Zero-Shot Object Detection. Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang |
| 2020 | GaSPing for Utility. Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian |
| 2020 | Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing. Zhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadong Ma, Jianhua Liu, Ning Yang |
| 2020 | Gamma-Nets: Generalizing Value Estimation over Timescale. Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski |
| 2020 | Gated Convolutional Networks with Hybrid Connectivity for Image Classification. Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu |
| 2020 | Gated Fully Fusion for Semantic Segmentation. Xiangtai Li, Houlong Zhao, Lei Han, Yunhai Tong, Shaohua Tan, Kuiyuan Yang |
| 2020 | General Partial Label Learning via Dual Bipartite Graph Autoencoder. Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang |
| 2020 | General Transportability - Synthesizing Observations and Experiments from Heterogeneous Domains. Sanghack Lee, Juan D. Correa, Elias Bareinboim |
| 2020 | Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu |
| 2020 | Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks. Yuan Cao, Quanquan Gu |
| 2020 | Generalize Sentence Representation with Self-Inference. Kai-Chou Yang, Hung-Yu Kao |
| 2020 | Generalized Arc Consistency Algorithms for Table Constraints: A Summary of Algorithmic Ideas. Roland H. C. Yap, Wei Xia, Ruiwei Wang |
| 2020 | Generalized Hidden Parameter MDPs: Transferable Model-Based RL in a Handful of Trials. Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos |
| 2020 | Generalized Planning with Positive and Negative Examples. Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson |
| 2020 | Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search. Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner |
| 2020 | Generate (Non-Software) Bugs to Fool Classifiers. Hiromu Yakura, Youhei Akimoto, Jun Sakuma |
| 2020 | Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis |
| 2020 | Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin |
| 2020 | Generating Diverse Translation by Manipulating Multi-Head Attention. Zewei Sun, Shujian Huang, Hao-Ran Wei, Xinyu Dai, Jiajun Chen |
| 2020 | Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract). Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao |
| 2020 | Generating Interactive Worlds with Text. Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston |
| 2020 | Generating Persona Consistent Dialogues by Exploiting Natural Language Inference. Haoyu Song, Wei-Nan Zhang, Jingwen Hu, Ting Liu |
| 2020 | Generating Realistic Stock Market Order Streams. Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman |
| 2020 | Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
| 2020 | Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang |
| 2020 | Generative Adversarial Networks for Video-to-Video Domain Adaptation. Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng |
| 2020 | Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis. Yuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, Haifeng Huang |
| 2020 | Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang |
| 2020 | Generative Attention Networks for Multi-Agent Behavioral Modeling. Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu |
| 2020 | Generative Continual Concept Learning. Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland |
| 2020 | Generative Exploration and Exploitation. Jiechuan Jiang, Zongqing Lu |
| 2020 | Generative-Discriminative Complementary Learning. Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich |
| 2020 | Geometry Sharing Network for 3D Point Cloud Classification and Segmentation. Mingye Xu, Zhipeng Zhou, Yu Qiao |
| 2020 | Geometry-Constrained Car Recognition Using a 3D Perspective Network. Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes |
| 2020 | Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation. Yang Li, Kan Li, Shuai Jiang, Ziyue Zhang, Congzhentao Huang, Richard Yi Da Xu |
| 2020 | Geospatial Clustering for Balanced and Proximal Schools. Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan |
| 2020 | Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks. Anna Rogers, Olga Kovaleva, Matthew Downey, Anna Rumshisky |
| 2020 | Gifting in Multi-Agent Reinforcement Learning (Student Abstract). Andrei Lupu, Doina Precup |
| 2020 | Global Context-Aware Progressive Aggregation Network for Salient Object Detection. Zuyao Chen, Qianqian Xu, Runmin Cong, Qingming Huang |
| 2020 | Global Greedy Dependency Parsing. Zuchao Li, Hai Zhao, Kevin Parnow |
| 2020 | GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking. Lianghua Huang, Xin Zhao, Kaiqi Huang |
| 2020 | Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. Yong Wang, Longyue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu |
| 2020 | Going Deep: Graph Convolutional Ladder-Shape Networks. Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang |
| 2020 | Google Research Football: A Novel Reinforcement Learning Environment. Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly |
| 2020 | GraLSP: Graph Neural Networks with Local Structural Patterns. Yilun Jin, Guojie Song, Chuan Shi |
| 2020 | Gradient Boosts the Approximate Vanishing Ideal. Hiroshi Kera, Yoshihiko Hasegawa |
| 2020 | Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. Wei Chen, Weizhong Zhang, Haoyu Zhao |
| 2020 | Gradient-Aware Model-Based Policy Search. Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli |
| 2020 | Gradient-Based Optimization for Bayesian Preference Elicitation. Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier |
| 2020 | Graduate Employment Prediction with Bias. Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang |
| 2020 | Grammar Filtering for Syntax-Guided Synthesis. Kairo Morton, William T. Hallahan, Elven Shum, Ruzica Piskac, Mark Santolucito |
| 2020 | Graph Attention Based Proposal 3D ConvNets for Action Detection. Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song |
| 2020 | Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen |
| 2020 | Graph Few-Shot Learning via Knowledge Transfer. Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li |
| 2020 | Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding. Linhao Zhang, Dehong Ma, Xiaodong Zhang, Xiaohui Yan, Houfeng Wang |
| 2020 | Graph Representation Learning via Ladder Gamma Variational Autoencoders. Arindam Sarkar, Nikhil Mehta, Piyush Rai |
| 2020 | Graph Representations for Higher-Order Logic and Theorem Proving. Aditya Paliwal, Sarah M. Loos, Markus N. Rabe, Kshitij Bansal, Christian Szegedy |
| 2020 | Graph Transformer for Graph-to-Sequence Learning. Deng Cai, Wai Lam |
| 2020 | Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang |
| 2020 | Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu |
| 2020 | Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing. Bo Shao, Yeyun Gong, Weizhen Qi, Guihong Cao, Jianshu Ji, Xiaola Lin |
| 2020 | Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin |
| 2020 | Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection. Thomas Magelinski, David M. Beskow, Kathleen M. Carley |
| 2020 | Graph-Propagation Based Correlation Learning for Weakly Supervised Fine-Grained Image Classification. Zhuhui Wang, Shijie Wang, Haojie Li, Zhi Dou, Jianjun Li |
| 2020 | GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks. Bing Li, Wei Wang, Yifang Sun, Linhan Zhang, Muhammad Asif Ali, Yi Wang |
| 2020 | Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing. Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao |
| 2020 | Gromov-Wasserstein Factorization Models for Graph Clustering. Hongteng Xu |
| 2020 | Group-Wise Dynamic Dropout Based on Latent Semantic Variations. Zhiwei Ke, Zhiwei Wen, Weicheng Xie, Yi Wang, Linlin Shen |
| 2020 | Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism. Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard |
| 2020 | Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction. Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel |
| 2020 | Guiding CDCL SAT Search via Random Exploration amid Conflict Depression. Md. Solimul Chowdhury, Martin Müller, Jia-Huai You |
| 2020 | HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li |
| 2020 | HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition. Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao |
| 2020 | HARK: Harshness-Aware Sentiment Analysis Framework for Product Review (Student Abstract). Ting Zhou, Xun Wang, Yili Fang |
| 2020 | HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems. Daniel Höller, Gregor Behnke, Pascal Bercher, Susanne Biundo, Humbert Fiorino, Damien Pellier, Ron Alford |
| 2020 | HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao |
| 2020 | HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract). Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Yingting Li, Hao Yang, Guoshun Nan |
| 2020 | HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung |
| 2020 | HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference. Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He |
| 2020 | Hard Examples for Common Variable Decision Heuristics. Marc Vinyals |
| 2020 | Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. Li Yang, Zhezhi He, Deliang Fan |
| 2020 | Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition. Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari, Debanjan Mahata, Amanda Stent, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann |
| 2020 | Hashing Based Answer Selection. Dong Xu, Wu-Jun Li |
| 2020 | Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song |
| 2020 | Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data. Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao |
| 2020 | Heuristic Black-Box Adversarial Attacks on Video Recognition Models. Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang |
| 2020 | Hidden Trigger Backdoor Attacks. Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash |
| 2020 | Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon |
| 2020 | Hiding in Multilayer Networks. Marcin Waniek, Tomasz P. Michalak, Talal Rahwan |
| 2020 | Hierarchical Attention Network with Pairwise Loss for Chinese Zero Pronoun Resolution. Peiqin Lin, Meng Yang |
| 2020 | Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract). Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar |
| 2020 | Hierarchical Contextualized Representation for Named Entity Recognition. Ying Luo, Fengshun Xiao, Hai Zhao |
| 2020 | Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati |
| 2020 | Hierarchical Knowledge Squeezed Adversarial Network Compression. Peng Li, Chang Shu, Yuan Xie, Yan Qu, Hui Kong |
| 2020 | Hierarchical Modes Exploring in Generative Adversarial Networks. Mengxiao Hu, Jinlong Li, Maolin Hu, Tao Hu |
| 2020 | Hierarchical Online Instance Matching for Person Search. Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Bernt Schiele |
| 2020 | Hierarchical Reinforcement Learning for Open-Domain Dialog. Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard |
| 2020 | Hierarchically Clustered Representation Learning. Su-Jin Shin, Kyungwoo Song, Il-Chul Moon |
| 2020 | High Performance Depthwise and Pointwise Convolutions on Mobile Devices. Pengfei Zhang, Eric Lo, Baotong Lu |
| 2020 | High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. Mohammad Hamghalam, Baiying Lei, Tianfu Wang |
| 2020 | High-Order Residual Network for Light Field Super-Resolution. Nan Meng, Xiaofei Wu, Jianzhuang Liu, Edmund Y. Lam |
| 2020 | Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives. Shivang Chopra, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah |
| 2020 | HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets. Yasmine Kotturi, Anson Kahng, Ariel D. Procaccia, Chinmay Kulkarni |
| 2020 | History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System. Yajing Sun, Yue Hu, Luxi Xing, Jing Yu, Yuqiang Xie |
| 2020 | HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation. Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua |
| 2020 | How Machine Learning is Improving U.S. Navy Customer Support. Michael Powell, Jamison A. Rotz, Kevin D. O'Malley |
| 2020 | How Should an Agent Practice? Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh |
| 2020 | How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics. Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2020 | How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si |
| 2020 | How to Predict Seawater Temperature for Sustainable Marine Aquaculture (Student Abstract). Masahito Okuno, Takanobu Otsuka |
| 2020 | Human Synthesis and Scene Compositing. Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu |
| 2020 | Human-Machine Collaboration for Fast Land Cover Mapping. Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic |
| 2020 | Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data. Annika Marie Schoene |
| 2020 | Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications. Suguman Bansal, Yong Li, Lucas M. Tabajara, Moshe Y. Vardi |
| 2020 | Hybrid Graph Neural Networks for Crowd Counting. Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng |
| 2020 | Hyperbolic Interaction Model for Hierarchical Multi-Label Classification. Boli Chen, Xin Huang, Lin Xiao, Zixin Cai, Liping Jing |
| 2020 | Hypergraph Convolutional Network for Multi-Hop Knowledge Base Question Answering (Student Abstract). Jiale Han, Bo Cheng, Xu Wang |
| 2020 | Hypergraph Label Propagation Network. Yubo Zhang, Nan Wang, Yufeng Chen, Changqing Zou, Hai Wan, Xibin Zhao, Yue Gao |
| 2020 | Hypernym Detection Using Strict Partial Order Networks. Sarthak Dash, Md. Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia |
| 2020 | Hypothetical Answers to Continuous Queries over Data Streams. Luís Cruz-Filipe, Isabel Nunes, Graça Gaspar |
| 2020 | I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract). Anurag Garg, Niket Tandon, Aparna S. Varde |
| 2020 | I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance (Student Abstract). Yang Qi, Farseev Aleksandr, Filchenkov Andrey |
| 2020 | ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network. Fei Li, Hong Yu |
| 2020 | IPO: Interior-Point Policy Optimization under Constraints. Yongshuai Liu, Jiaxin Ding, Xin Liu |
| 2020 | IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. Xiaoyun Li, Chengxi Wu, Ping Li |
| 2020 | IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience. Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie |
| 2020 | Identifiability from a Combination of Observations and Experiments. Sanghack Lee, Juan D. Correa, Elias Bareinboim |
| 2020 | Identifying Model Weakness with Adversarial Examiner. Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille |
| 2020 | Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers. Ngai Meng Kou, Cheng Peng, Hang Ma, T. K. Satish Kumar, Sven Koenig |
| 2020 | Image Cropping with Composition and Saliency Aware Aesthetic Score Map. Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang |
| 2020 | Image Enhanced Event Detection in News Articles. Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua |
| 2020 | Image Formation Model Guided Deep Image Super-Resolution. Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang |
| 2020 | Image-Adaptive GAN Based Reconstruction. Shady Abu Hussein, Tom Tirer, Raja Giryes |
| 2020 | Implicit Coordination Using FOND Planning. Thorsten Engesser, Tim Miller |
| 2020 | Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation. Akshay Gugnani, Hemant Misra |
| 2020 | Importance-Aware Learning for Neural Headline Editing. Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu |
| 2020 | Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training. Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu |
| 2020 | Improved Algorithms for Conservative Exploration in Bandits. Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta |
| 2020 | Improved Filtering for the Euclidean Traveling Salesperson Problem in CLP(FD). Alessandro Bertagnon, Marco Gavanelli |
| 2020 | Improved Knowledge Distillation via Teacher Assistant. Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh |
| 2020 | Improved PAC-Bayesian Bounds for Linear Regression. Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihály Petreczky |
| 2020 | Improved Subsampled Randomized Hadamard Transform for Linear SVM. Zijian Lei, Liang Lan |
| 2020 | Improved Visual-Semantic Alignment for Zero-Shot Object Detection. Shafin Rahman, Salman H. Khan, Nick Barnes |
| 2020 | Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding. Hyeongu Yun, Yongkeun Hwang, Kyomin Jung |
| 2020 | Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. Qianming Xue, Wei Zhang, Hongyuan Zha |
| 2020 | Improving ECG Classification Using Generative Adversarial Networks. Tomer Golany, Gal Lavee, Shai Tejman-Yarden, Kira Radinsky |
| 2020 | Improving Efficiency of Volunteer-Based Food Rescue Operations. Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang |
| 2020 | Improving Entity Linking by Modeling Latent Entity Type Information. Shuang Chen, Jinpeng Wang, Feng Jiang, Chin-Yew Lin |
| 2020 | Improving First-Order Optimization Algorithms (Student Abstract). Ange Tato, Roger Nkambou |
| 2020 | Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering. Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang |
| 2020 | Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks. Hangzhi Guo, Alexander Woodruff, Amulya Yadav |
| 2020 | Improving Neural Relation Extraction with Positive and Unlabeled Learning. Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang |
| 2020 | Improving Policies via Search in Cooperative Partially Observable Games. Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown |
| 2020 | Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring. Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li |
| 2020 | Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract). Ritwik Bose, Siddharth Vashishtha, James F. Allen |
| 2020 | Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He |
| 2020 | Incentive-Compatible Classification. Yakov Babichenko, Oren Dean, Moshe Tennenholtz |
| 2020 | Incentivized Exploration for Multi-Armed Bandits under Reward Drift. Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen |
| 2020 | Inception LSTM for Next-frame Video Prediction (Student Abstract). Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju Gottumukkala |
| 2020 | Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework. Heyuan Wang, Tengjiao Wang, Yi Li |
| 2020 | Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen |
| 2020 | Incremental Multi-Domain Learning with Network Latent Tensor Factorization. Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic |
| 2020 | Incremental Sense Weight Training for In-Depth Interpretation of Contextualized Word Embeddings (Student Abstract). Xinyi Jiang, Zhengzhe Yang, Jinho D. Choi |
| 2020 | Incremental Symmetry Breaking Constraints for Graph Search Problems. Avraham Itzhakov, Michael Codish |
| 2020 | Independence Promoted Graph Disentangled Networks. Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao |
| 2020 | Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang |
| 2020 | Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning. Afshin Abdi, Faramarz Fekri |
| 2020 | Individual-Based Stability in Hedonic Diversity Games. Niclas Boehmer, Edith Elkind |
| 2020 | Inducing Relational Knowledge from BERT. Zied Bouraoui, José Camacho-Collados, Steven Schockaert |
| 2020 | Induction of Subgoal Automata for Reinforcement Learning. Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson |
| 2020 | Inefficiency of K-FAC for Large Batch Size Training. Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney |
| 2020 | Inferring Nighttime Satellite Imagery from Human Mobility. Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry A. Kautz |
| 2020 | Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations. Wei W. Xing, Shireen Y. Elhabian, Robert Michael Kirby, Ross T. Whitaker, Shandian Zhe |
| 2020 | Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro |
| 2020 | Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu |
| 2020 | Information Elicitation Mechanisms for Statistical Estimation. Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu |
| 2020 | Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents. Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, Barbara J. Grosz |
| 2020 | Information-Theoretic Understanding of Population Risk Improvement with Model Compression. Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli |
| 2020 | Infrared-Visible Cross-Modal Person Re-Identification with an X Modality. Diangang Li, Xing Wei, Xiaopeng Hong, Yihong Gong |
| 2020 | Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue |
| 2020 | InstaNAS: Instance-Aware Neural Architecture Search. An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun |
| 2020 | Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang |
| 2020 | Instance-Adaptive Graph for EEG Emotion Recognition. Tengfei Song, Suyuan Liu, Wenming Zheng, Yuan Zong, Zhen Cui |
| 2020 | Instance-Wise Dynamic Sensor Selection for Human Activity Recognition. Xiaodong Yang, Yiqiang Chen, Hanchao Yu, Yingwei Zhang, Wang Lu, Ruizhe Sun |
| 2020 | Integrating Deep Learning with Logic Fusion for Information Extraction. Wenya Wang, Sinno Jialin Pan |
| 2020 | Integrating Linguistic Knowledge to Sentence Paraphrase Generation. Zibo Lin, Ziran Li, Ning Ding, Haitao Zheng, Ying Shen, Wei Wang, Cong-Zhi Zhao |
| 2020 | Integrating Overlapping Datasets Using Bivariate Causal Discovery. Anish Dhir, Ciarán M. Lee |
| 2020 | Integrating Relation Constraints with Neural Relation Extractors. Yuan Ye, Yansong Feng, Bingfeng Luo, Yuxuan Lai, Dongyan Zhao |
| 2020 | Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao |
| 2020 | InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions. Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar |
| 2020 | Interactive Dual Generative Adversarial Networks for Image Captioning. Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang |
| 2020 | Interactive Fiction Games: A Colossal Adventure. Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan |
| 2020 | Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng |
| 2020 | Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract). Da Yin, Xiuyu Wu, Baobao Chang |
| 2020 | Interactive Rare-Category-of-Interest Mining from Large Datasets. Zhenguang Liu, Sihao Hu, Yifang Yin, Jianhai Chen, Kevin Chiew, Luming Zhang, Zetian Wu |
| 2020 | Interactive Scene Generation via Scene Graphs with Attributes. Oron Ashual, Lior Wolf |
| 2020 | Interpretable Rumor Detection in Microblogs by Attending to User Interactions. Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang |
| 2020 | Interpretable and Differentially Private Predictions. Frederik Harder, Matthias Bauer, Mijung Park |
| 2020 | Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns. Mimansa Jaiswal |
| 2020 | IntroVNMT: An Introspective Model for Variational Neural Machine Translation. Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu |
| 2020 | Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction. Ronny Hug, Wolfgang Hübner, Michael Arens |
| 2020 | InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde |
| 2020 | Invariant Representations through Adversarial Forgetting. Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan |
| 2020 | Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits |
| 2020 | Iterative Data Programming for Expanding Text Classification Corpora. Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta |
| 2020 | Iterative Delegations in Liquid Democracy with Restricted Preferences. Bruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau |
| 2020 | Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract). Junghun Byun, Yong-Ho Cho, Tae-Ho Im, Hak-Lim Ko, Kyung-Seop Shin, Ohyun Jo |
| 2020 | Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction. Haoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun |
| 2020 | JEC-QA: A Legal-Domain Question Answering Dataset. Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun |
| 2020 | JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video. Soo Ye Kim, Jihyong Oh, Munchurl Kim |
| 2020 | JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds. Lin Zhao, Wenbing Tao |
| 2020 | Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation. Yixin Zhang, Zilei Wang |
| 2020 | Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text. Hui Liu, Yongzheng Zhang, Yipeng Wang, Zheng Lin, Yige Chen |
| 2020 | Joint Commonsense and Relation Reasoning for Image and Video Captioning. Jingyi Hou, Xinxiao Wu, Xiaoxun Zhang, Yayun Qi, Yunde Jia, Jiebo Luo |
| 2020 | Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model. Ya Xiao, Chengxiang Tan, Zhijie Fan, Qian Xu, Wenye Zhu |
| 2020 | Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen |
| 2020 | Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang |
| 2020 | Joint Parsing and Generation for Abstractive Summarization. Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu |
| 2020 | Joint Super-Resolution and Alignment of Tiny Faces. Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu |
| 2020 | Just Add Functions: A Neural-Symbolic Language Model. David Demeter, Doug Downey |
| 2020 | Just Ask: An Interactive Learning Framework for Vision and Language Navigation. Ta-Chung Chi, Minmin Shen, Mihail Eric, Seokhwan Kim, Dilek Hakkani-Tür |
| 2020 | Justification-Based Reliability in Machine Learning. Nurali Virani, Naresh Iyer, Zhaoyuan Yang |
| 2020 | Justifying All Differences Using Pseudo-Boolean Reasoning. Jan Elffers, Stephan Gocht, Ciaran McCreesh, Jakob Nordström |
| 2020 | K-BERT: Enabling Language Representation with Knowledge Graph. Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang |
| 2020 | KPNet: Towards Minimal Face Detector. Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan |
| 2020 | Kanji Workbook: A Writing-Based Intelligent Tutoring System for Learning Proper Japanese Kanji Writing Technique with Instructor-Emulated Assessment. Paul Taele, Jung In Koh, Tracy Hammond |
| 2020 | Keyphrase Generation for Scientific Articles Using GANs (Student Abstract). Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah |
| 2020 | Keywords-Guided Abstractive Sentence Summarization. Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Xiaodong He |
| 2020 | Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty |
| 2020 | KnowBias: Detecting Political Polarity in Long Text Content (Student Abstract). Aditya Saligrama |
| 2020 | KnowIT VQA: Answering Knowledge-Based Questions about Videos. Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima |
| 2020 | Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si |
| 2020 | Knowledge Distillation from Internal Representations. Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Z. Yao, Xing Fan, Chenlei Guo |
| 2020 | Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu |
| 2020 | Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation. Jun Xu, Haifeng Wang, Zhengyu Niu, Hua Wu, Wanxiang Che |
| 2020 | Knowledge Graph Transfer Network for Few-Shot Recognition. Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin |
| 2020 | Knowledge Integration Networks for Action Recognition. Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott |
| 2020 | Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering. Zihan Xu, Hai-Tao Zheng, Shaopeng Zhai, Dong Wang |
| 2020 | Knowledge-Enriched Visual Storytelling. Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao Kenneth Huang, Lun-Wei Ku |
| 2020 | Knowledge-Graph Augmented Word Representations for Named Entity Recognition. Qizhen He, Liang Wu, Yida Yin, Heming Cai |
| 2020 | Kriging Convolutional Networks. Gabriel Appleby, Linfeng Liu, Liping Liu |
| 2020 | LATTE: Latent Type Modeling for Biomedical Entity Linking. Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy |
| 2020 | LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung |
| 2020 | LGML: Logic Guided Machine Learning (Student Abstract). Joseph Scott, Maysum Panju, Vijay Ganesh |
| 2020 | LMLFM: Longitudinal Multi-Level Factorization Machine. Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar |
| 2020 | LS-Tree: Model Interpretation When the Data Are Linguistic. Jianbo Chen, Michael I. Jordan |
| 2020 | LTLƒ Synthesis with Fairness and Stability Assumptions. Shufang Zhu, Giuseppe De Giacomo, Geguang Pu, Moshe Y. Vardi |
| 2020 | Label Enhancement with Sample Correlations via Low-Rank Representation. Haoyu Tang, Jihua Zhu, Qinghai Zheng, Jun Wang, Shanmin Pang, Zhongyu Li |
| 2020 | Label Error Correction and Generation through Label Relationships. Zijun Cui, Yong Zhang, Qiang Ji |
| 2020 | Ladder Loss for Coherent Visual-Semantic Embedding. Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua |
| 2020 | Large-Scale Multi-View Subspace Clustering in Linear Time. Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu |
| 2020 | LatRec: Recognizing Goals in Latent Space (Student Abstract). Leonardo Amado, Felipe Meneguzzi |
| 2020 | Latent Emotion Memory for Multi-Label Emotion Classification. Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji |
| 2020 | Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. Zhen Wu, Fei Zhao, Xin-Yu Dai, Shujian Huang, Jiajun Chen |
| 2020 | Latent Relation Language Models. Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig |
| 2020 | Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho |
| 2020 | Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao |
| 2020 | LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games. Leonard Adolphs, Thomas Hofmann |
| 2020 | Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract). Damian Stachura, Christopher Galias, Konrad Zolna |
| 2020 | LearnIt: On-Demand Rapid Customization for Event-Event Relation Extraction. Bonan Min, Manaj Srivastava, Haoling Qiu, Prasannakumar Muthukumar, Joshua Fasching |
| 2020 | Learned Video Compression via Joint Spatial-Temporal Correlation Exploration. Haojie Liu, Han Shen, Lichao Huang, Ming Lu, Tong Chen, Zhan Ma |
| 2020 | Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language. Songyang Zhang, Houwen Peng, Jianlong Fu, Jiebo Luo |
| 2020 | Learning Agent Communication under Limited Bandwidth by Message Pruning. Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni |
| 2020 | Learning Attentive Pairwise Interaction for Fine-Grained Classification. Peiqin Zhuang, Yali Wang, Yu Qiao |
| 2020 | Learning Conceptual-Contextual Embeddings for Medical Text. Xiao Zhang, Dejing Dou, Ji Wu |
| 2020 | Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen |
| 2020 | Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval. Kaiyi Lin, Xing Xu, Lianli Gao, Zheng Wang, Heng Tao Shen |
| 2020 | Learning Cross-Modal Context Graph for Visual Grounding. Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He |
| 2020 | Learning Deep Relations to Promote Saliency Detection. Changrui Chen, Xin Sun, Yang Hua, Junyu Dong, Hongwei Xv |
| 2020 | Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract). Yuchen Jiang, Zhenxin Xiao, Kai-Wei Chang |
| 2020 | Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen |
| 2020 | Learning Efficient Representations for Fake Speech Detection. Nishant Subramani, Delip Rao |
| 2020 | Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia |
| 2020 | Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck |
| 2020 | Learning Feature Interactions with Lorentzian Factorization Machine. Canran Xu, Ming Wu |
| 2020 | Learning General Latent-Variable Graphical Models with Predictive Belief Propagation. Borui Wang, Geoffrey J. Gordon |
| 2020 | Learning Geo-Contextual Embeddings for Commuting Flow Prediction. Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, Cláudio T. Silva |
| 2020 | Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching. Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao |
| 2020 | Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang |
| 2020 | Learning Higher-Order Programs through Predicate Invention. Andrew Cropper, Rolf Morel, Stephen H. Muggleton |
| 2020 | Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume. Qingshan Xu, Wenbing Tao |
| 2020 | Learning Light Field Angular Super-Resolution via a Geometry-Aware Network. Jing Jin, Junhui Hou, Hui Yuan, Sam Kwong |
| 2020 | Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption. Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha |
| 2020 | Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt |
| 2020 | Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing. Yunxiao Qin, Chenxu Zhao, Xiangyu Zhu, Zezheng Wang, Zitong Yu, Tianyu Fu, Feng Zhou, Jingping Shi, Zhen Lei |
| 2020 | Learning Multi-Level Dependencies for Robust Word Recognition. Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu |
| 2020 | Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments. Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang |
| 2020 | Learning Optimal Decision Trees Using Caching Branch-and-Bound Search. Gaël Aglin, Siegfried Nijssen, Pierre Schaus |
| 2020 | Learning Part Generation and Assembly for Structure-Aware Shape Synthesis. Jun Li, Chengjie Niu, Kai Xu |
| 2020 | Learning Query Inseparable εℒℋ Ontologies. Ana Ozaki, Cosimo Persia, Andrea Mazzullo |
| 2020 | Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang |
| 2020 | Learning Saliency-Free Model with Generic Features for Weakly-Supervised Semantic Segmentation. Wenfeng Luo, Meng Yang |
| 2020 | Learning Sense Representation from Word Representation for Unsupervised Word Sense Disambiguation (Student Abstract). Jie Wang, Zhenxin Fu, Moxin Li, Haisong Zhang, Dongyan Zhao, Rui Yan |
| 2020 | Learning Signed Network Embedding via Graph Attention. Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang |
| 2020 | Learning Sparse Sharing Architectures for Multiple Tasks. Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang |
| 2020 | Learning Student Networks with Few Data. Shumin Kong, Tianyu Guo, Shan You, Chang Xu |
| 2020 | Learning Transferable Adversarial Examples via Ghost Networks. Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille |
| 2020 | Learning Triple Embeddings from Knowledge Graphs. Valeria Fionda, Giuseppe Pirrò |
| 2020 | Learning Weighted Model Integration Distributions. Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini |
| 2020 | Learning and Reasoning for Robot Sequential Decision Making under Uncertainty. Saeid Amiri, Mohammad Shokrolah Shirazi, Shiqi Zhang |
| 2020 | Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation. Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin |
| 2020 | Learning from Interventions Using Hierarchical Policies for Safe Learning. Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu |
| 2020 | Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior. Chenguang Zhang, Yuexian Hou, Yan Zhang |
| 2020 | Learning from Weak-Label Data: A Deep Forest Expedition. Qian-Wei Wang, Liang Yang, Yufeng Li |
| 2020 | Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks. Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang |
| 2020 | Learning on the Job: Online Lifelong and Continual Learning. Bing Liu |
| 2020 | Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer. Edward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores, Emily Xue, Andrew M. Dai |
| 2020 | Learning the Value of Teamwork to Form Efficient Teams. Ryan Beal, Narayan Changder, Timothy J. Norman, Sarvapali D. Ramchurn |
| 2020 | Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework. Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan |
| 2020 | Learning to Classify the Wrong Answers for Multiple Choice Question Answering (Student Abstract). Hyeondey Kim, Pascale Fung |
| 2020 | Learning to Communicate Implicitly by Actions. Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang |
| 2020 | Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. Wangchunshu Zhou, Ke Xu |
| 2020 | Learning to Crawl. Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi |
| 2020 | Learning to Deblur Face Images via Sketch Synthesis. Songnan Lin, Jiawei Zhang, Jinshan Pan, Yicun Liu, Yongtian Wang, Jing S. J. Chen, Jimmy S. Ren |
| 2020 | Learning to Follow Directions in Street View. Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell |
| 2020 | Learning to Generate Maps from Trajectories. Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng |
| 2020 | Learning to Incorporate Structure Knowledge for Image Inpainting. Jie Yang, Zhiquan Qi, Yong Shi |
| 2020 | Learning to Interactively Learn and Assist. Mark Woodward, Chelsea Finn, Karol Hausman |
| 2020 | Learning to Learn Morphological Inflection for Resource-Poor Languages. Katharina Kann, Samuel R. Bowman, Kyunghyun Cho |
| 2020 | Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing. Bo Chen, Xianpei Han, Ben He, Le Sun |
| 2020 | Learning to Match on Graph for Fashion Compatibility Modeling. Xun Yang, Xiaoyu Du, Meng Wang |
| 2020 | Learning to Model Opponent Learning (Student Abstract). Ian Davies, Zheng Tian, Jun Wang |
| 2020 | Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees. Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik |
| 2020 | Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash |
| 2020 | Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz |
| 2020 | Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu |
| 2020 | Learning to Transfer: Unsupervised Domain Translation via Meta-Learning. Jianxin Lin, Yijun Wang, Zhibo Chen, Tianyu He |
| 2020 | Learning with Unsure Responses. Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada |
| 2020 | Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang |
| 2020 | Least General Generalizations in Description Logic: Verification and Existence. Jean Christoph Jung, Carsten Lutz, Frank Wolter |
| 2020 | Less Is Better: Unweighted Data Subsampling via Influence Function. Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang |
| 2020 | Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge |
| 2020 | Let's Learn Their Language? A Case for Planning with Automata-Network Languages from Model Checking. Jörg Hoffmann, Holger Hermanns, Michaela Klauck, Marcel Steinmetz, Erez Karpas, Daniele Magazzeni |
| 2020 | Leveraging BERT with Mixup for Sentence Classification (Student Abstract). Amit Jindal, Dwaraknath Gnaneshwar, Ramit Sawhney, Rajiv Ratn Shah |
| 2020 | Leveraging Multi-Token Entities in Document-Level Named Entity Recognition. Anwen Hu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen |
| 2020 | Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation. Renjiao Yi, Ping Tan, Stephen Lin |
| 2020 | Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He |
| 2020 | Lexical Simplification with Pretrained Encoders. Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu |
| 2020 | Lifelong Learning with a Changing Action Set. Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas |
| 2020 | Lifelong Spectral Clustering. Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu |
| 2020 | Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems. Daniel Fiser |
| 2020 | Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets. Jan Maly |
| 2020 | Light Multi-Segment Activation for Model Compression. Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu |
| 2020 | Lightweight and Robust Representation of Economic Scales from Satellite Imagery. Sungwon Han, DongHyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha |
| 2020 | Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog. Varun Gangal, Abhinav Arora, Arash Einolghozati, Sonal Gupta |
| 2020 | Limitations of Incentive Compatibility on Discrete Type Spaces. Taylor Lundy, Hu Fu |
| 2020 | Linear Bandits with Feature Feedback. Urvashi Oswal, Aniruddha Bhargava, Robert Nowak |
| 2020 | Linear Context Transform Block. Dongsheng Ruan, Jun Wen, Nenggan Zheng, Min Zheng |
| 2020 | Linguistic Fingerprints of Internet Censorship: The Case of Sina Weibo. Kei Yin Ng, Anna Feldman, Jing Peng |
| 2020 | Link Prediction between Group Entities in Knowledge Graphs (Student Abstract). Jialin Su, Yuanzhuo Wang, Xiaolong Jin, Yantao Jia, Xueqi Cheng |
| 2020 | Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract). Qizhen Zhang, Audrey Durand, Joelle Pineau |
| 2020 | Local Regularizer Improves Generalization. Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen |
| 2020 | Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex Problem. Peilin Chen, Hai Wan, Shaowei Cai, Jia Li, Haicheng Chen |
| 2020 | Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection. Ruihai Wu, Kehan Xu, Chenchen Liu, Nan Zhuang, Yadong Mu |
| 2020 | Location-Aware Graph Convolutional Networks for Video Question Answering. Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan |
| 2020 | Logics for Sizes with Union or Intersection. Caleb Kisby, Saúl A. Blanco, Alex Kruckman, Lawrence S. Moss |
| 2020 | Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang |
| 2020 | Long Short-Term Sample Distillation. Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi |
| 2020 | Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching. Peng Gao, Hao Zhang |
| 2020 | Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition. Shiming Ge, Kangkai Zhang, Haolin Liu, Yingying Hua, Shengwei Zhao, Xin Jin, Hao Wen |
| 2020 | Loss-Based Attention for Deep Multiple Instance Learning. Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang |
| 2020 | Low Resource Sequence Tagging with Weak Labels. Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych |
| 2020 | Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution. Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov |
| 2020 | M-NAS: Meta Neural Architecture Search. Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng |
| 2020 | M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues. Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha |
| 2020 | MA-DST: Multi-Attention-Based Scalable Dialog State Tracking. Adarsh Kumar, Peter Ku, Anuj Kumar Goyal, Angeliki Metallinou, Dilek Hakkani-Tür |
| 2020 | MALA: Cross-Domain Dialogue Generation with Action Learning. Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang |
| 2020 | MAPF Scenario: Software for Evaluating MAPF Plans on Real Robots. Roman Barták, Jirí Svancara, Ivan Krasicenko |
| 2020 | MIMAMO Net: Integrating Micro- and Macro-Motion for Video Emotion Recognition. Didan Deng, Zhaokang Chen, Yuqian Zhou, Bertram E. Shi |
| 2020 | MIPaaL: Mixed Integer Program as a Layer. Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe |
| 2020 | ML-LOO: Detecting Adversarial Examples with Feature Attribution. Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan |
| 2020 | MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension. Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür |
| 2020 | MOSS: End-to-End Dialog System Framework with Modular Supervision. Weixin Liang, Youzhi Tian, Chengcai Chen, Zhou Yu |
| 2020 | MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning. Wentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang |
| 2020 | MTSS: Learn from Multiple Domain Teachers and Become a Multi-Domain Dialogue Expert. Shuke Peng, Feng Ji, Zehao Lin, Shaobo Cui, Haiqing Chen, Yin Zhang |
| 2020 | MULE: Multimodal Universal Language Embedding. Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer |
| 2020 | MUSIC COLLAB: An IoT and ML Based Solution for Remote Music Collaboration (Student Abstract). Nishtha Nayar, Divya Lohani |
| 2020 | Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning. Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu |
| 2020 | Machine-Learning-Based Functional Microcirculation Analysis. Ossama Mahmoud, Gemma H. Janssen, Mahmoud R. El-Sakka |
| 2020 | Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights. Ian Davidson, S. S. Ravi |
| 2020 | Making High-Performance Robots Safe and Easy to Use For an Introduction to Computing. Joseph Spitzer, Joydeep Biswas, Arjun Guha |
| 2020 | Manipulating Districts to Win Elections: Fine-Grained Complexity. Eduard Eiben, Fedor V. Fomin, Fahad Panolan, Kirill Simonov |
| 2020 | ManyModalQA: Modality Disambiguation and QA over Diverse Inputs. Darryl Hannan, Akshay Jain, Mohit Bansal |
| 2020 | MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets. Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, Dongyoung Kim |
| 2020 | Mask & Focus: Conversation Modelling by Learning Concepts. Gaurav Pandey, Dinesh Raghu, Sachindra Joshi |
| 2020 | MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking. Zewei Zhao, Houfeng Wang |
| 2020 | Masking Orchestration: Multi-Task Pretraining for Multi-Role Dialogue Representation Learning. Tianyi Wang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Qiong Zhang |
| 2020 | Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang |
| 2020 | MatchU: An Interactive Matching Platform. James Ferris, Hadi Hosseini |
| 2020 | Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford |
| 2020 | Maximum Likelihood Embedding of Logistic Random Dot Product Graphs. Luke J. O'Connor, Muriel Médard, Soheil Feizi |
| 2020 | Maximum Margin Multi-Dimensional Classification. Bin-Bin Jia, Min-Ling Zhang |
| 2020 | Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun |
| 2020 | Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen |
| 2020 | Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu |
| 2020 | MemCap: Memorizing Style Knowledge for Image Captioning. Wentian Zhao, Xinxiao Wu, Xiaoxun Zhang |
| 2020 | Memory Augmented Graph Neural Networks for Sequential Recommendation. Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates |
| 2020 | Merging Weak and Active Supervision for Semantic Parsing. Ansong Ni, Pengcheng Yin, Graham Neubig |
| 2020 | Message Passing Attention Networks for Document Understanding. Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis |
| 2020 | Meta-Amortized Variational Inference and Learning. Mike Wu, Kristy Choi, Noah D. Goodman, Stefano Ermon |
| 2020 | Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. Haiyan Yin, Dingcheng Li, Xu Li, Ping Li |
| 2020 | Meta-Learning PAC-Bayes Priors in Model Averaging. Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li |
| 2020 | Meta-Learning for Generalized Zero-Shot Learning. Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai |
| 2020 | Meta-Learning on Graph with Curvature-Based Analysis (Student Abstract). Tae Hong Moon, Sungsu Lim |
| 2020 | MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control. Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li |
| 2020 | MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation. Rumeng Li, Xun Wang, Hong Yu |
| 2020 | Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz |
| 2020 | Midas: Microcluster-Based Detector of Anomalies in Edge Streams. Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos |
| 2020 | Minecraft as a Platform for Project-Based Learning in AI. Sameer Singh |
| 2020 | Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou |
| 2020 | Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua |
| 2020 | Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval. Fan Yang, Zheng Wang, Jing Xiao, Shin'ichi Satoh |
| 2020 | Mis-Classified Vector Guided Softmax Loss for Face Recognition. Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, Tao Mei |
| 2020 | MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space. Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun |
| 2020 | MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs. Mengxiao Zhu, Haogang Zhu |
| 2020 | Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. Sijie Mai, Haifeng Hu, Songlong Xing |
| 2020 | Modality-Balanced Models for Visual Dialogue. Hyounghun Kim, Hao Tan, Mohit Bansal |
| 2020 | Model AI Assignments 2020. Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett |
| 2020 | Model Checking Temporal Epistemic Logic under Bounded Recall. Francesco Belardinelli, Alessio Lomuscio, Emily Yu |
| 2020 | Model Watermarking for Image Processing Networks. Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, Nenghai Yu |
| 2020 | Model and Reinforcement Learning for Markov Games with Risk Preferences. Wenjie Huang, Pham Viet Hai, William Benjamin Haskell |
| 2020 | Model-Based Diagnosis with Uncertain Observations. Dean Cazes, Meir Kalech |
| 2020 | Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan |
| 2020 | Modeling Dynamic Behaviors within Population. Nazgol Tavabi |
| 2020 | Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection. Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet |
| 2020 | Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu |
| 2020 | Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski |
| 2020 | Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement. Qi Zhang, Edmund H. Durfee, Satinder Singh |
| 2020 | Modelling Diversity of Solutions. Linnea Ingmar, Maria Garcia de la Banda, Peter J. Stuckey, Guido Tack |
| 2020 | Modelling Form-Meaning Systematicity with Linguistic and Visual Features. Arie Soeteman, E. Dario Gutiérrez, Elia Bruni, Ekaterina Shutova |
| 2020 | Modelling Semantic Categories Using Conceptual Neighborhood. Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert |
| 2020 | Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words. Mahtab Ahmed, Robert E. Mercer |
| 2020 | Modelling a Conversational Agent with Complex Emotional Intelligence. Billal Belainine, Fatiha Sadat, Hakim Lounis |
| 2020 | Modelling and Solving Online Optimisation Problems. Alexander Ek, Maria Garcia de la Banda, Andreas Schutt, Peter J. Stuckey, Guido Tack |
| 2020 | Modular Robot Design Synthesis with Deep Reinforcement Learning. Julian Whitman, Raunaq M. Bhirangi, Matthew J. Travers, Howie Choset |
| 2020 | Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation. Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang |
| 2020 | Monolingual Transfer Learning via Bilingual Translators for Style-Sensitive Paraphrase Generation. Tomoyuki Kajiwara, Biwa Miura, Yuki Arase |
| 2020 | Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez |
| 2020 | Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients. Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim |
| 2020 | More Accurate Learning of k-DNF Reference Classes. Brendan Juba, Hengxuan Li |
| 2020 | Morphing and Sampling Network for Dense Point Cloud Completion. Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu |
| 2020 | Morphism-Based Learning for Structured Data. Kilho Shin, Dave Shepard |
| 2020 | Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification. Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He |
| 2020 | Motion-Attentive Transition for Zero-Shot Video Object Segmentation. Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao |
| 2020 | Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu |
| 2020 | MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. Ling Huang, Hong-Yang Chao, Guangqiang Xie |
| 2020 | Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. Heechang Ryu, Hayong Shin, Jinkyoo Park |
| 2020 | Multi-Agent Game Abstraction via Graph Attention Neural Network. Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao |
| 2020 | Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract). Elhadji Amadou Oury Diallo, Toshiharu Sugawara |
| 2020 | Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract). Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato |
| 2020 | Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract). Yuxiang Xie, Hua Xu, Congcong Yang, Kai Gao |
| 2020 | Multi-Channel Reverse Dictionary Model. Lei Zheng, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun |
| 2020 | Multi-Component Graph Convolutional Collaborative Filtering. Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li |
| 2020 | Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation. Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun |
| 2020 | Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa |
| 2020 | Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos. Xiaoyu Zhang, Haichao Shi, Changsheng Li, Peng Li |
| 2020 | Multi-Label Causal Feature Selection. Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao |
| 2020 | Multi-Label Classification with Label Graph Superimposing. Ya Wang, Dongliang He, Fu Li, Xiang Long, Zhichao Zhou, Jinwen Ma, Shilei Wen |
| 2020 | Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network. Pingjie Tang, Meng Jiang, Bryan (Ning) Xia, Jed W. Pitera, Jeffrey Welser, Nitesh V. Chawla |
| 2020 | Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching. Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu |
| 2020 | Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects. Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe |
| 2020 | Multi-Point Semantic Representation for Intent Classification. Jinghan Zhang, Yuxiao Ye, Yue Zhang, Likun Qiu, Bin Fu, Yang Li, Zhenglu Yang, Jian Sun |
| 2020 | Multi-Question Learning for Visual Question Answering. Chenyi Lei, Lei Wu, Dong Liu, Zhao Li, Guoxin Wang, Haihong Tang, Houqiang Li |
| 2020 | Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting. Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng |
| 2020 | Multi-Scale Anomaly Detection on Attributed Networks. Leonardo Gutiérrez-Gómez, Alexandre Bovet, Jean-Charles Delvenne |
| 2020 | Multi-Scale Self-Attention for Text Classification. Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang |
| 2020 | Multi-Source Distilling Domain Adaptation. Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer |
| 2020 | Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. Han Guo, Ramakanth Pasunuru, Mohit Bansal |
| 2020 | Multi-Source Domain Adaptation for Visual Sentiment Classification. Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua |
| 2020 | Multi-Speaker Video Dialog with Frame-Level Temporal Localization. Qiang Wang, Pin Jiang, Zhiyi Guo, Yahong Han, Zhou Zhao |
| 2020 | Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation. Shaoyue Song, Hongkai Yu, Zhenjiang Miao, Jianwu Fang, Kang Zheng, Cong Ma, Song Wang |
| 2020 | Multi-Spectral Vehicle Re-Identification: A Challenge. Hongchao Li, Chenglong Li, Xianpeng Zhu, Aihua Zheng, Bin Luo |
| 2020 | Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. Ke Sun, Zhouchen Lin, Zhanxing Zhu |
| 2020 | Multi-Task Driven Feature Models for Thermal Infrared Tracking. Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yongsheng Liang |
| 2020 | Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation. Alex Foo, Wynne Hsu, Mong-Li Lee, Gilbert Lim, Tien Yin Wong |
| 2020 | Multi-Task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation. Duong Le, My Thai, Thien Nguyen |
| 2020 | Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension. Qiyu Ren, Xiang Cheng, Sen Su |
| 2020 | Multi-Task Self-Supervised Learning for Disfluency Detection. Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang |
| 2020 | Multi-Type Resource Allocation with Partial Preferences. Haibin Wang, Sujoy Sikdar, Xiaoxi Guo, Lirong Xia, Yongzhi Cao, Hanpin Wang |
| 2020 | Multi-Type Self-Attention Guided Degraded Saliency Detection. Ziqi Zhou, Zheng Wang, Huchuan Lu, Song Wang, Meijun Sun |
| 2020 | Multi-View Clustering in Latent Embedding Space. Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2020 | Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction. Amir Pouran Ben Veyseh, Franck Dernoncourt, My Tra Thai, Dejing Dou, Thien Huu Nguyen |
| 2020 | Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract). Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao |
| 2020 | Multi-View Multiple Clusterings Using Deep Matrix Factorization. Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation. Ze-Sen Chen, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang |
| 2020 | Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix. Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin, Wen Gao |
| 2020 | Multi-Zone Unit for Recurrent Neural Networks. Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou |
| 2020 | MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization. Yue Cao, Xiaojun Wan, Jin-Ge Yao, Dian Yu |
| 2020 | Multiagent Evaluation Mechanisms. Tal Alon, Magdalen Dobson, Ariel D. Procaccia, Inbal Talgam-Cohen, Jamie Tucker-Foltz |
| 2020 | Multidimensional Analysis of Trust in News Articles (Student Abstract). Avneet Kaur, Maitree Leekha, Utkarsh Chawla, Ayush Agarwal, Mudit Saxena, Nishtha Madaan, Kalapriya Kannan, Sameep Mehta |
| 2020 | Multimodal Interaction-Aware Trajectory Prediction in Crowded Space. Xiaodan Shi, Xiaowei Shao, Zipei Fan, Renhe Jiang, Haoran Zhang, Zhiling Guo, Guangming Wu, Wei Yuan, Ryosuke Shibasaki |
| 2020 | Multimodal Structure-Consistent Image-to-Image Translation. Che-Tsung Lin, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai |
| 2020 | Multimodal Summarization with Guidance of Multimodal Reference. Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, Changliang Li |
| 2020 | Multiple Birds with One Stone: Beating 1/2 for EFX and GMMS via Envy Cycle Elimination. Georgios Amanatidis, Evangelos Markakis, Apostolos Ntokos |
| 2020 | Multiple Data Augmentation Strategies for Improving Performance on Automatic Short Answer Scoring. Jiaqi Lun, Jia Zhu, Yong Tang, Min Yang |
| 2020 | Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. Tianzhe Wang, Zetian Jiang, Junchi Yan |
| 2020 | Multiple Positional Self-Attention Network for Text Classification. Biyun Dai, Jinlong Li, Ruoyi Xu |
| 2020 | Narrative Planning Model Acquisition from Text Summaries and Descriptions. Thomas Hayton, Julie Porteous, João F. Ferreira, Alan Lindsay |
| 2020 | Natural Image Matting via Guided Contextual Attention. Yaoyi Li, Hongtao Lu |
| 2020 | Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao |
| 2020 | NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations. Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu |
| 2020 | Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance. Kai Tian, Yi Xu, Jihong Guan, Shuigeng Zhou |
| 2020 | Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. Sanket Shah, Meghna Lowalekar, Pradeep Varakantham |
| 2020 | Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search. Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca |
| 2020 | Neural Cognitive Diagnosis for Intelligent Education Systems. Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang |
| 2020 | Neural Dynamics and Gamma Oscillation on a Hybrid Excitatory-Inhibitory Complex Network (Student Abstract). Yuan Wang, Xia Shi, Bo Cheng, Junliang Chen |
| 2020 | Neural Graph Embedding for Neural Architecture Search. Wei Li, Shaogang Gong, Xiatian Zhu |
| 2020 | Neural Inheritance Relation Guided One-Shot Layer Assignment Search. Rang Meng, Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu |
| 2020 | Neural Machine Translation with Byte-Level Subwords. Changhan Wang, Kyunghyun Cho, Jiatao Gu |
| 2020 | Neural Machine Translation with Joint Representation. Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu |
| 2020 | Neural Question Generation with Answer Pivot. Bingning Wang, Xiaochuan Wang, Ting Tao, Qi Zhang, Jingfang Xu |
| 2020 | Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang |
| 2020 | Neural Simile Recognition with Cyclic Multitask Learning and Local Attention. Jiali Zeng, Linfeng Song, Jinsong Su, Jun Xie, Wei Song, Jiebo Luo |
| 2020 | Neural Snowball for Few-Shot Relation Learning. Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun |
| 2020 | Neuron Interaction Based Representation Composition for Neural Machine Translation. Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu |
| 2020 | New Efficient Multi-Spike Learning for Fast Processing and Robust Learning. Shenglan Li, Qiang Yu |
| 2020 | New Interpretations of Normalization Methods in Deep Learning. Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li |
| 2020 | New Off-Board Solution for Predicting Vehicles' Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract). Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha |
| 2020 | Nice Invincible Strategy for the Average-Payoff IPD. Shiheng Wang, Fangzhen Lin |
| 2020 | Non-Local U-Nets for Biomedical Image Segmentation. Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji |
| 2020 | Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification. Hongyu Guo |
| 2020 | Nonlinear System Identification via Tensor Completion. Nikos Kargas, Nicholas D. Sidiropoulos |
| 2020 | Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng |
| 2020 | Not All Attention Is Needed: Gated Attention Network for Sequence Data. Lanqing Xue, Xiaopeng Li, Nevin L. Zhang |
| 2020 | Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning. Joschka Groß, Álvaro Torralba, Maximilian Fickert |
| 2020 | ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer |
| 2020 | ODSS: Efficient Hybridization for Optimal Coalition Structure Generation. Narayan Changder, Samir Aknine, Sarvapali D. Ramchurn, Animesh Dutta |
| 2020 | OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation. Chengqian Zhao, Cheng Feng, Dengwang Li, Shuo Li |
| 2020 | OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting. Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo |
| 2020 | OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal |
| 2020 | OVL: One-View Learning for Human Retrieval. Wenjing Li, Zhongcheng Wu |
| 2020 | Object Instance Mining for Weakly Supervised Object Detection. Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, Wayne Zhang |
| 2020 | Object-Guided Instance Segmentation for Biological Images. Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan |
| 2020 | Object-Oriented Dynamics Learning through Multi-Level Abstraction. Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang |
| 2020 | Observe Before Play: Multi-Armed Bandit with Pre-Observations. Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong |
| 2020 | Off-Policy Evaluation in Partially Observable Environments. Guy Tennenholtz, Uri Shalit, Shie Mannor |
| 2020 | On Adaptivity in Information-Constrained Online Learning. Siddharth Mitra, Aditya Gopalan |
| 2020 | On Identifying Hashtags in Disaster Twitter Data. Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea |
| 2020 | On Measuring and Mitigating Biased Inferences of Word Embeddings. Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar |
| 2020 | On Performance Estimation in Automatic Algorithm Configuration. Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao |
| 2020 | On Succinct Groundings of HTN Planning Problems. Gregor Behnke, Daniel Höller, Alexander Schmid, Pascal Bercher, Susanne Biundo |
| 2020 | On Swap Convexity of Voting Rules. Svetlana Obraztsova, Edith Elkind, Piotr Faliszewski |
| 2020 | On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models. Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu |
| 2020 | On the Convergence of Model Free Learning in Mean Field Games. Romuald Elie, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Olivier Pietquin |
| 2020 | On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis |
| 2020 | On the Expressivity of ASK Queries in SPARQL. Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Heng Zhang, Xuanxing Yang, Zhiyong Feng |
| 2020 | On the Generation of Medical Question-Answer Pairs. Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan |
| 2020 | On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract). Dean L. Slack, Mariann Hardey, Noura Al Moubayed |
| 2020 | On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu |
| 2020 | On the Max-Min Fair Stochastic Allocation of Indivisible Goods. Yasushi Kawase, Hanna Sumita |
| 2020 | On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank. Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider |
| 2020 | On the Problem of Covering a 3-D Terrain. Eduard Eiben, Isuru S. Godage, Iyad Kanj, Ge Xia |
| 2020 | On the Robustness of Face Recognition Algorithms Against Attacks and Bias. Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa |
| 2020 | On the Role of Weight Sharing During Deep Option Learning. Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro |
| 2020 | One Homonym per Translation. Bradley Hauer, Grzegorz Kondrak |
| 2020 | One-Shot Image Classification by Learning to Restore Prototypes. Wanqi Xue, Wei Wang |
| 2020 | One-Shot Learning for Long-Tail Visual Relation Detection. Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen |
| 2020 | Online Active Learning of Reject Option Classifiers. Kulin Shah, Naresh Manwani |
| 2020 | Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. Tong Geng, Xiliang Lin, Harikesh S. Nair |
| 2020 | Online Fair Division: A Survey. Martin Aleksandrov, Toby Walsh |
| 2020 | Online Hashing with Efficient Updating of Binary Codes. Zhenyu Weng, Yuesheng Zhu |
| 2020 | Online Knowledge Distillation with Diverse Peers. Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen |
| 2020 | Online Metric Learning for Multi-Label Classification. Xiuwen Gong, Dong Yuan, Wei Bao |
| 2020 | Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz |
| 2020 | Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting. Haoyu Zhao, Wei Chen |
| 2020 | Open Domain Event Text Generation. Zihao Fu, Lidong Bing, Wai Lam |
| 2020 | Open-World Learning for Radically Autonomous Agents. Pat Langley |
| 2020 | Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract). Damir Pulatov, Lars Kotthoff |
| 2020 | Optical Flow in Deep Visual Tracking. Mikko Vihlman, Arto Visala |
| 2020 | Optimal Attack against Autoregressive Models by Manipulating the Environment. Yiding Chen, Xiaojin Zhu |
| 2020 | Optimal Auction Based Automated Negotiation in Realistic Decentralised Market Environments. Pankaj Mishra, Ahmed Moustafa, Takayuki Ito, Minjie Zhang |
| 2020 | Optimal Common Contract with Heterogeneous Agents. Shenke Xiao, Zihe Wang, Mengjing Chen, Pingzhong Tang, Xiwang Yang |
| 2020 | Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract). Qisheng Wang, Qichao Wang, Xiao Li |
| 2020 | Optimal Feature Transport for Cross-View Image Geo-Localization. Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li |
| 2020 | Optimal Margin Distribution Learning in Dynamic Environments. Teng Zhang, Peng Zhao, Hai Jin |
| 2020 | Optimization of Chance-Constrained Submodular Functions. Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton |
| 2020 | Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern |
| 2020 | Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains. Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh |
| 2020 | Optimizing Reachability Sets in Temporal Graphs by Delaying. Argyrios Deligkas, Igor Potapov |
| 2020 | Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract). Xi Chen, Afsaneh Doryab |
| 2020 | Options of Interest: Temporal Abstraction with Interest Functions. Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup |
| 2020 | Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection. Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang, Shi Wu |
| 2020 | Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification. Che-Ping Tsai, Hung-yi Lee |
| 2020 | Outlier Detection Ensemble with Embedded Feature Selection. Li Cheng, Yijie Wang, Xinwang Liu, Bin Li |
| 2020 | Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control. Inyoung Paik, Sangjun Oh, Taeyeong Kwak, Injung Kim |
| 2020 | Overcoming Language Priors in VQA via Decomposed Linguistic Representations. Chenchen Jing, Yuwei Wu, Xiaoxun Zhang, Yunde Jia, Qi Wu |
| 2020 | P-SIF: Document Embeddings Using Partition Averaging. Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar |
| 2020 | PARTNER: Human-in-the-Loop Entity Name Understanding with Deep Learning. Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa |
| 2020 | PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang |
| 2020 | PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms. Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall |
| 2020 | PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network. Dacheng Yin, Chong Luo, Zhiwei Xiong, Wenjun Zeng |
| 2020 | PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module. Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He |
| 2020 | PIDS: An Intelligent Electric Power Management Platform. Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao |
| 2020 | PIQA: Reasoning about Physical Commonsense in Natural Language. Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi |
| 2020 | POP ≡ POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization. Pascal Bercher, Conny Olz |
| 2020 | POST: POlicy-Based Switch Tracking. Ning Wang, Wengang Zhou, Guojun Qi, Houqiang Li |
| 2020 | PSENet: Psoriasis Severity Evaluation Network. Yi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang, YangTian Yan, Shen Ge, Kai Wang, Wei Fan, Xiang Chen, Yong Wang |
| 2020 | Pairwise Fairness for Ranking and Regression. Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang |
| 2020 | Pairwise Learning with Differential Privacy Guarantees. Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang |
| 2020 | Parallel AND/OR Search for Marginal MAP. Radu Marinescu, Akihiro Kishimoto, Adi Botea |
| 2020 | ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion. Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao |
| 2020 | Parameterised Resource-Bounded ATL. Natasha Alechina, Stéphane Demri, Brian Logan |
| 2020 | Parameterized Algorithms for Finding a Collective Set of Items. Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier |
| 2020 | Parameterized Complexity of Envy-Free Resource Allocation in Social Networks. Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak |
| 2020 | Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning. Tian Tan, Zhihan Xiong, Vikranth R. Dwaracherla |
| 2020 | Parsing as Pretraining. David Vilares, Michalina Strzyz, Anders Søgaard, Carlos Gómez-Rodríguez |
| 2020 | Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition. Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang |
| 2020 | Partial Correlation-Based Attention for Multivariate Time Series Forecasting. Won Kyung Lee |
| 2020 | Partial Label Learning with Batch Label Correction. Yan Yan, Yuhong Guo |
| 2020 | Partial Multi-Label Learning with Label Distribution. Ning Xu, Yun-Peng Liu, Xin Geng |
| 2020 | Partial Multi-Label Learning with Noisy Label Identification. Ming-Kun Xie, Sheng-Jun Huang |
| 2020 | Particle Filter Recurrent Neural Networks. Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee |
| 2020 | Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning. Nicolas Anastassacos, Stephen Hailes, Mirco Musolesi |
| 2020 | Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images. Tong Wu, Zhenzhen Lei, Bingqian Lin, Cuihua Li, Yanyun Qu, Yuan Xie |
| 2020 | Patchy Image Structure Classification Using Multi-Orientation Region Transform. Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan |
| 2020 | Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek. Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh |
| 2020 | Path Ranking with Attention to Type Hierarchies. Weiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova |
| 2020 | Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks. Lisi Chen, Shuo Shang, Bin Yao, Jing Li |
| 2020 | PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes. Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou |
| 2020 | Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries. Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris |
| 2020 | People Do Not Just Plan, They Plan to Plan. Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths |
| 2020 | Perpetual Voting: Fairness in Long-Term Decision Making. Martin Lackner |
| 2020 | Person Tube Retrieval via Language Description. Hehe Fan, Yi Yang |
| 2020 | Personalized Prediction of Trust Links in Social Networks (Student Abstract). Alexandre Parmentier, Robin Cohen |
| 2020 | Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud. Matteo Castiglioni, Andrea Celli, Nicola Gatti |
| 2020 | Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution. Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, Ling Shao, Yanning Zhang |
| 2020 | Plan2Dance: Planning Based Choreographing from Music. Yuechang Liu, Dongbo Xie, Hankz Hankui Zhuo, Liqian Lai |
| 2020 | Planar Prior Assisted PatchMatch Multi-View Stereo. Qingshan Xu, Wenbing Tao |
| 2020 | Planning and Acting with Non-Deterministic Events: Navigating between Safe States. Lukás Chrpa, Jakub Gemrot, Martin Pilát |
| 2020 | Planning with Abstract Learned Models While Learning Transferable Subtasks. John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek |
| 2020 | Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks. Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe |
| 2020 | Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer |
| 2020 | Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. Wenkai Han, Chenglu Wen, Cheng Wang, Xin Li, Qing Li |
| 2020 | Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution. Yang You, Yujing Lou, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Cewu Lu, Weiming Wang |
| 2020 | Policy Search by Target Distribution Learning for Continuous Control. Chuheng Zhang, Yuanqi Li, Jian Li |
| 2020 | Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. Jicong Fan, Yuqian Zhang, Madeleine Udell |
| 2020 | Pose-Assisted Multi-Camera Collaboration for Active Object Tracking. Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang |
| 2020 | Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search. Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan |
| 2020 | Position-Based Social Choice Methods for Intransitive Incomplete Pairwise Vote Sets (Student Abstract). Julian Zucker |
| 2020 | Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin |
| 2020 | Posterior-Guided Neural Architecture Search. Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng |
| 2020 | Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi |
| 2020 | Practical Federated Gradient Boosting Decision Trees. Qinbin Li, Zeyi Wen, Bingsheng He |
| 2020 | Practical Frank-Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games. Kengo Nakamura, Shinsaku Sakaue, Norihito Yasuda |
| 2020 | Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck |
| 2020 | Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract). Nupoor Gandhi, Alex Morales, Sally Man-Pui Chan, Dolores Albarracin, ChengXiang Zhai |
| 2020 | Predicting Propositional Satisfiability via End-to-End Learning. Chris Cameron, Rex Chen, Jason S. Hartford, Kevin Leyton-Brown |
| 2020 | Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract). Shimeng Peng, Lujie Chen, Chufan Gao, Richard Jiarui Tong |
| 2020 | Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems. Sarik Ghazarian, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng |
| 2020 | Predictive Student Modeling in Educational Games with Multi-Task Learning. Michael Geden, Andrew Emerson, Jonathan P. Rowe, Roger Azevedo, James C. Lester |
| 2020 | PresentationTrainer: Oral Presentation Support System for Impression-Related Feedback. Shengzhou Yi, Hiroshi Yumoto, Xueting Wang, Toshihiko Yamasaki |
| 2020 | Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data. Jun Guo, Heng Chang, Wenwu Zhu |
| 2020 | Preventing Arbitrage from Collusion When Eliciting Probabilities. Rupert Freeman, David M. Pennock, Dominik Peters, Bo Waggoner |
| 2020 | Price of Fairness in Budget Division and Probabilistic Social Choice. Marcin Michorzewski, Dominik Peters, Piotr Skowron |
| 2020 | Privacy Enhanced Multimodal Neural Representations for Emotion Recognition. Mimansa Jaiswal, Emily Mower Provost |
| 2020 | Privacy-Preserving Gaussian Process Regression - A Modular Approach to the Application of Homomorphic Encryption. Peter Fenner, Edward Pyzer-Knapp |
| 2020 | Privacy-Preserving Gradient Boosting Decision Trees. Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He |
| 2020 | Private Bayesian Persuasion with Sequential Games. Andrea Celli, Stefano Coniglio, Nicola Gatti |
| 2020 | Probabilistic Inference for Predicate Constraint Satisfaction. Yuki Satake, Hiroshi Unno, Hinata Yanagi |
| 2020 | Probabilistic Reasoning Across the Causal Hierarchy. Duligur Ibeling, Thomas Icard |
| 2020 | Probabilistic Super Resolution for Mineral Spectroscopy. Alberto Candela, David R. Thompson, David Wettergreen, Kerry Cawse-Nicholson, Sven Geier, Michael L. Eastwood, Robert O. Green |
| 2020 | Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences. Shaonan Wang, Jiajun Zhang, Nan Lin, Chengqing Zong |
| 2020 | Probing Natural Language Inference Models through Semantic Fragments. Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal |
| 2020 | Progressive Bi-C3D Pose Grammar for Human Pose Estimation. Lu Zhou, Yingying Chen, Jinqiao Wang, Hanqing Lu |
| 2020 | Progressive Boundary Refinement Network for Temporal Action Detection. Qinying Liu, Zilei Wang |
| 2020 | Progressive Feature Polishing Network for Salient Object Detection. Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai |
| 2020 | Projective Quadratic Regression for Online Learning. Wenye Ma |
| 2020 | Proportional Belief Merging. Adrian Haret, Martin Lackner, Andreas Pfandler, Johannes P. Wallner |
| 2020 | Protecting Geolocation Privacy of Photo Collections. Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik |
| 2020 | Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor |
| 2020 | Proximal Distilled Evolutionary Reinforcement Learning. Cristian Bodnar, Ben Day, Pietro Lió |
| 2020 | Proximity Preserving Binary Code Using Signed Graph-Cut. Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or |
| 2020 | Pruning from Scratch. Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu |
| 2020 | PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. Kyungjune Baek, Minhyun Lee, Hyunjung Shim |
| 2020 | PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts. Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel A. Luengo-Oroz |
| 2020 | Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise. Albert Akhriev, Jakub Marecek, Andrea Simonetto |
| 2020 | Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments. Zhen-Liang Ni, Gui-Bin Bian, Guan'an Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Hua-Bin Chen, Xiao-Liang Xie |
| 2020 | Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection. Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu |
| 2020 | Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer |
| 2020 | QASC: A Dataset for Question Answering via Sentence Composition. Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal |
| 2020 | Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. Wanli Shi, Bin Gu, Xiang Li, Heng Huang |
| 2020 | Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning. Afshin Abdi, Faramarz Fekri |
| 2020 | Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks. Ece C. Mutlu |
| 2020 | Query Answering with Guarded Existential Rules under Stable Model Semantics. Hai Wan, Guohui Xiao, Chenglin Wang, Xianqiao Liu, Junhong Chen, Zhe Wang |
| 2020 | Query Rewriting for Ontology-Mediated Conditional Answers. Medina Andresel, Magdalena Ortiz, Mantas Simkus |
| 2020 | Query-Driven Multi-Instance Learning. Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Tyng-Luh Liu |
| 2020 | Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes. Shun Zhang, Edmund H. Durfee, Satinder Singh |
| 2020 | Question Quality Improvement: Deep Question Understanding for Incident Management in Technical Support Domain. Anupama Ray, Pooja Aggarwal, Csaba Hadhazi, Gargi Dasgupta, Amit M. Paradkar |
| 2020 | Question-Driven Purchasing Propensity Analysis for Recommendation. Long Chen, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai |
| 2020 | RDSNet: A New Deep Architecture forReciprocal Object Detection and Instance Segmentation. Shaoru Wang, Yongchao Gong, Junliang Xing, Lichao Huang, Chang Huang, Weiming Hu |
| 2020 | REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation. Jae-Myung Kim, Hyungjin Kim, Chanwoo Park, Jungwoo Lee |
| 2020 | RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal. Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao |
| 2020 | RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang |
| 2020 | RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract). Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei Lin, Bo Zheng, Dongyan Zhao, Rui Yan |
| 2020 | RTN: Reparameterized Ternary Network. Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang |
| 2020 | Radial and Directional Posteriors for Bayesian Deep Learning. ChangYong Oh, Kamil Adamczewski, Mijung Park |
| 2020 | Random Erasing Data Augmentation. Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang |
| 2020 | Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens |
| 2020 | Random Intersection Graphs and Missing Data. Dror Salti, Yakir Berchenko |
| 2020 | Random Projections and α-Shape to Support the Kernel Design (Student Abstract). Daniel Moreira Cestari, Rodrigo Fernandes de Mello |
| 2020 | Rank Aggregation via Heterogeneous Thurstone Preference Models. Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud |
| 2020 | Rank3DGAN: Semantic Mesh Generation Using Relative Attributes. Yassir Saquil, Qun-Ce Xu, Yong-Liang Yang, Peter Hall |
| 2020 | Ranking and Rating Rankings and Ratings. Jingyan Wang, Nihar B. Shah |
| 2020 | Ranking-Based Semantics for Sets of Attacking Arguments. Bruno Yun, Srdjan Vesic, Madalina Croitoru |
| 2020 | Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking. Timo Schick, Hinrich Schütze |
| 2020 | Rception: Wide and Deep Interaction Networks for Machine Reading Comprehension (Student Abstract). Xuanyu Zhang, Zhichun Wang |
| 2020 | Re-Attention for Visual Question Answering. Wenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, Xiaojie Yuan |
| 2020 | Re-Thinking LiDAR-Stereo Fusion Frameworks (Student Abstract). Qilin Jin, Parasara Sridhar Duggirala |
| 2020 | ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion. Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang |
| 2020 | Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. Wenxiang Jiao, Michael R. Lyu, Irwin King |
| 2020 | Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han |
| 2020 | Real-Time Route Search by Locations. Lisi Chen, Shuo Shang, Tao Guo |
| 2020 | Real-Time Scene Text Detection with Differentiable Binarization. Minghui Liao, Zhaoyi Wan, Cong Yao, Kai Chen, Xiang Bai |
| 2020 | Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose. Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu |
| 2020 | Reasoning about Political Bias in Content Moderation. Shan Jiang, Ronald E. Robertson, Christo Wilson |
| 2020 | Reasoning on Knowledge Graphs with Debate Dynamics. Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp |
| 2020 | Reasoning with Heterogeneous Graph Alignment for Video Question Answering. Pin Jiang, Yahong Han |
| 2020 | Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang |
| 2020 | Recognizing Instagram Filtered Images with Feature De-Stylization. Zhe Wu, Zuxuan Wu, Bharat Singh, Larry S. Davis |
| 2020 | Recovering Causal Structures from Low-Order Conditional Independencies. Marcel Wienöbst, Maciej Liskiewicz |
| 2020 | Recurrent Nested Model for Sequence Generation. Wenhao Jiang, Lin Ma, Wei Lu |
| 2020 | Recursively Binary Modification Model for Nested Named Entity Recognition. Bing Li, Shifeng Liu, Yifang Sun, Wei Wang, Xiang Zhao |
| 2020 | Reduction and Local Search for Weighted Graph Coloring Problem. Yiyuan Wang, Shaowei Cai, Shiwei Pan, Ximing Li, Minghao Yin |
| 2020 | RefNet: A Reference-Aware Network for Background Based Conversation. Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke |
| 2020 | Refining HTN Methods via Task Insertion with Preferences. Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Andreas Herzig, Laurent Perrussel, Peilin Chen |
| 2020 | Refining Tournament Solutions via Margin of Victory. Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong |
| 2020 | Region Focus Network for Joint Optic Disc and Cup Segmentation. Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie |
| 2020 | Region Normalization for Image Inpainting. Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu |
| 2020 | Region-Adaptive Dense Network for Efficient Motion Deblurring. Kuldeep Purohit, A. N. Rajagopalan |
| 2020 | Region-Based Global Reasoning Networks. Chuanming Wang, Huiyuan Fu, Charles X. Ling, Peilun Du, Huadong Ma |
| 2020 | Regional Tree Regularization for Interpretability in Deep Neural Networks. Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez |
| 2020 | Regression under Human Assistance. Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez |
| 2020 | Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory. Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan |
| 2020 | Regularized Fine-Grained Meta Face Anti-Spoofing. Rui Shao, Xiangyuan Lan, Pong C. Yuen |
| 2020 | Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning |
| 2020 | Regularized Wasserstein Means for Aligning Distributional Data. Liang Mi, Wen Zhang, Yalin Wang |
| 2020 | Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang |
| 2020 | Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks. Guojia Wan, Bo Du, Shirui Pan, Gholamreza Haffari |
| 2020 | Reinforcement Learning When All Actions Are Not Always Available. Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas |
| 2020 | Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance. Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu |
| 2020 | Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes. Tomás Brázdil, Krishnendu Chatterjee, Petr Novotný, Jiri Vahala |
| 2020 | Reinforcement Learning with Non-Markovian Rewards. Maor Gaon, Ronen I. Brafman |
| 2020 | Reinforcement Learning with Perturbed Rewards. Jingkang Wang, Yang Liu, Bo Li |
| 2020 | Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang |
| 2020 | Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li |
| 2020 | Reinforcing Neural Network Stability with Attractor Dynamics. Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan |
| 2020 | Reinforcing an Image Caption Generator Using Off-Line Human Feedback. Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut |
| 2020 | Relatedness and TBox-Driven Rule Learning in Large Knowledge Bases. Giuseppe Pirrò |
| 2020 | Relation Extraction Exploiting Full Dependency Forests. Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-Yun Ma, Dong Yu |
| 2020 | Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu |
| 2020 | Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning. Shuheng Li, Dezhi Hong, Hongning Wang |
| 2020 | Relation Network for Person Re-Identification. Hyunjong Park, Bumsub Ham |
| 2020 | Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks. Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li |
| 2020 | Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification. Xingze Li, Wengang Zhou, Yun Zhou, Houqiang Li |
| 2020 | Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He |
| 2020 | Relational Learning for Joint Head and Human Detection. Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou |
| 2020 | Relational Prototypical Network for Weakly Supervised Temporal Action Localization. Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang |
| 2020 | Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee |
| 2020 | Release the Power of Online-Training for Robust Visual Tracking. Yifan Yang, Guorong Li, Yuankai Qi, Qingming Huang |
| 2020 | Relevance-Promoting Language Model for Short-Text Conversation. Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam |
| 2020 | Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang |
| 2020 | Reliable Multilabel Classification: Prediction with Partial Abstention. Vu-Linh Nguyen, Eyke Hüllermeier |
| 2020 | Reliable and Efficient Anytime Skeleton Learning. Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang |
| 2020 | Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach. Atsushi Iwasaki, Tadashi Sekiguchi, Shun Yamamoto, Makoto Yokoo |
| 2020 | Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. Guo-Hua Wang, Jianxin Wu |
| 2020 | Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification. Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao |
| 2020 | Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. Songlei Jian, Liang Hu, Longbing Cao, Kai Lu |
| 2020 | Representative Solutions for Bi-Objective Optimisation. Emir Demirovic, Nicolas Schwind |
| 2020 | Representing Closed Transformation Paths in Encoded Network Latent Space. Marissa Connor, Christopher Rozell |
| 2020 | Reshaping Diverse Planning. Michael Katz, Shirin Sohrabi |
| 2020 | Residual Continual Learning. Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim |
| 2020 | Residual Neural Processes. Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim |
| 2020 | Resilient Logic Programs: Answer Set Programs Challenged by Ontologies. Sanja Lukumbuzya, Magdalena Ortiz, Mantas Simkus |
| 2020 | Restraining Bolts for Reinforcement Learning Agents. Giuseppe De Giacomo, Luca Iocchi, Marco Favorito, Fabio Patrizi |
| 2020 | Results on a Super Strong Exponential Time Hypothesis. Nikhil Vyas, Ryan Williams |
| 2020 | Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. Jinlan Fu, Pengfei Liu, Qi Zhang |
| 2020 | Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect. Xinyang Jiang, Yifei Gong, Xiaowei Guo, Qize Yang, Feiyue Huang, Wei-Shi Zheng, Feng Zheng, Xing Sun |
| 2020 | Rethinking the Bottom-Up Framework for Query-Based Video Localization. Long Chen, Chujie Lu, Siliang Tang, Jun Xiao, Dong Zhang, Chilie Tan, Xiaolin Li |
| 2020 | Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity. Hao Zhang, Han Xu, Yang Xiao, Xiaojie Guo, Jiayi Ma |
| 2020 | Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv |
| 2020 | Revisiting Bilinear Pooling: A Coding Perspective. Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi |
| 2020 | Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang |
| 2020 | Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma |
| 2020 | Revisiting Online Quantum State Learning. Feidiao Yang, Jiaqing Jiang, Jialin Zhang, Xiaoming Sun |
| 2020 | Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan |
| 2020 | Revisiting the Foundations of Abstract Argumentation - Semantics Based on Weak Admissibility and Weak Defense. Ringo Baumann, Gerhard Brewka, Markus Ulbricht |
| 2020 | RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework. Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu |
| 2020 | RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi |
| 2020 | RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization. Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong Liu, Wei Jing |
| 2020 | RobuTrans: A Robust Transformer-Based Text-to-Speech Model. Naihan Li, Yanqing Liu, Yu Wu, Shujie Liu, Sheng Zhao, Ming Liu |
| 2020 | Robust Adversarial Objects against Deep Learning Models. Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, Yier Jin |
| 2020 | Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas |
| 2020 | Robust Data Programming with Precision-guided Labeling Functions. Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi |
| 2020 | Robust Federated Learning via Collaborative Machine Teaching. Yufei Han, Xiangliang Zhang |
| 2020 | Robust Gradient-Based Markov Subsampling. Tieliang Gong, Quanhan Xi, Chen Xu |
| 2020 | Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman |
| 2020 | Robust Market Equilibria with Uncertain Preferences. Riley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah |
| 2020 | Robust Multi-View Representation Learning (Student Abstract). Sibi Venkatesan, James Kyle Miller, Artur Dubrawski |
| 2020 | Robust Named Entity Recognition with Truecasing Pretraining. Stephen Mayhew, Nitish Gupta, Dan Roth |
| 2020 | Robust Self-Weighted Multi-View Projection Clustering. Beilei Wang, Yun Xiao, Zhihui Li, Xuanhong Wang, Xiaojiang Chen, Dingyi Fang |
| 2020 | Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr., Timothy Y. Hu, Joseph Palombo, Michael Liston, Yingbin Liang |
| 2020 | Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms. Andong Wang, Chao Li, Zhong Jin, Qibin Zhao |
| 2020 | Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. Alexander Levine, Soheil Feizi |
| 2020 | Rule-Guided Compositional Representation Learning on Knowledge Graphs. Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang |
| 2020 | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang |
| 2020 | Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework. Zhengxin Huang, Yuren Zhou |
| 2020 | R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya |
| 2020 | SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications. Abdullah Hamdi, Matthias Mueller, Bernard Ghanem |
| 2020 | SATNet: Symmetric Adversarial Transfer Network Based on Two-Level Alignment Strategy towards Cross-Domain Sentiment Classification (Student Abstract). Yu Cao, Hua Xu |
| 2020 | SG-Net: Syntax-Guided Machine Reading Comprehension. Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang |
| 2020 | SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition. Zhong Ji, Xiyao Liu, Yanwei Pang, Xuelong Li |
| 2020 | SK-Net: Deep Learning on Point Cloud via End-to-End Discovery of Spatial Keypoints. Weikun Wu, Yan Zhang, David Wang, Yunqi Lei |
| 2020 | SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li |
| 2020 | SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning. Chao Wen, Xinghu Yao, Yuhui Wang, Xiaoyang Tan |
| 2020 | SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation. Tao He, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang, Yuanfang Li |
| 2020 | SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin |
| 2020 | SPAN: A Stochastic Projected Approximate Newton Method. Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li |
| 2020 | SPARQA: Skeleton-Based Semantic Parsing for Complex Questions over Knowledge Bases. Yawei Sun, Lingling Zhang, Gong Cheng, Yuzhong Qu |
| 2020 | SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking. Qintao Hu, Lijun Zhou, Xiaoxiao Wang, Yao Mao, Jianlin Zhang, Qixiang Ye |
| 2020 | SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation. Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xian-Sheng Hua |
| 2020 | STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits. Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha |
| 2020 | Safe Linear Stochastic Bandits. Kia Khezeli, Eilyan Bitar |
| 2020 | Safe Sample Screening for Robust Support Vector Machine. Zhou Zhai, Bin Gu, Xiang Li, Heng Huang |
| 2020 | SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM. Xinyi Wu, Zhenyao Wu, Jinglin Zhang, Lili Ju, Song Wang |
| 2020 | Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract). Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel |
| 2020 | Sampling Random Chordal Graphs by MCMC (Student Abstract). Wenbo Sun, Ivona Bezáková |
| 2020 | Sanity Checks for Saliency Metrics. Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece |
| 2020 | Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein |
| 2020 | Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems. Adam Eck, Maulik Shah, Prashant Doshi, Leen-Kiat Soh |
| 2020 | Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes. Pablo Samuel Castro |
| 2020 | Scalable Probabilistic Matrix Factorization with Graph-Based Priors. Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski |
| 2020 | Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. Tong Teng, Jie Chen, Yehong Zhang, Bryan Kian Hsiang Low |
| 2020 | Scalable and Generalizable Social Bot Detection through Data Selection. Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, Filippo Menczer |
| 2020 | Scale-Wise Convolution for Image Restoration. Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang |
| 2020 | ScaleNet - Improve CNNs through Recursively Rescaling Objects. Xingyi Li, Zhongang Qi, Xiaoli Z. Fern, Fuxin Li |
| 2020 | Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks. Fabio Pardo, Vitaly Levdik, Petar Kormushev |
| 2020 | Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks. Lu Chen, Boer Lv, Chi Wang, Su Zhu, Bowen Tan, Kai Yu |
| 2020 | Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract). Deanna Flynn, P. Michael Furlong, Brian Coltin |
| 2020 | Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos. Kyungjae Lee, Nan Duan, Lei Ji, Jason Li, Seung-won Hwang |
| 2020 | Segmenting Medical MRI via Recurrent Decoding Cell. Ying Wen, Kai Xie, Lianghua He |
| 2020 | Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents. Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou |
| 2020 | Selecting Portfolios Directly Using Recurrent Reinforcement Learning (Student Abstract). Lin Li |
| 2020 | Self-Attention ConvLSTM for Spatiotemporal Prediction. Zhihui Lin, Maomao Li, Zhuobin Zheng, Yangyang Cheng, Chun Yuan |
| 2020 | Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang |
| 2020 | Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu |
| 2020 | Self-Supervised Learning for Generalizable Out-of-Distribution Detection. Sina Mohseni, Mandar Pitale, J. B. S. Yadawa, Zhangyang Wang |
| 2020 | Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract). Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos |
| 2020 | SemSUM: Semantic Dependency Guided Neural Abstractive Summarization. Hanqi Jin, Tianming Wang, Xiaojun Wan |
| 2020 | Semantic Attachments for HTN Planning. Maurício Cecílio Magnaguagno, Felipe Meneguzzi |
| 2020 | Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract). Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov |
| 2020 | Semantics-Aligned Representation Learning for Person Re-Identification. Xin Jin, Cuiling Lan, Wenjun Zeng, Guoqiang Wei, Zhibo Chen |
| 2020 | Semantics-Aware BERT for Language Understanding. Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, Xiang Zhou |
| 2020 | Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong |
| 2020 | Semi-Supervised Learning for Maximizing the Partial AUC. Tomoharu Iwata, Akinori Fujino, Naonori Ueda |
| 2020 | Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios. Kyungtae Lim, Jay Yoon Lee, Jaime G. Carbonell, Thierry Poibeau |
| 2020 | Semi-Supervised Learning to Perceive Children's Affective States in a Tablet Tutor. Mansi Agarwal, Jack Mostow |
| 2020 | Semi-Supervised Learning under Class Distribution Mismatch. Yanbei Chen, Xiatian Zhu, Wei Li, Shaogang Gong |
| 2020 | Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition. Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin |
| 2020 | Semi-Supervised Streaming Learning with Emerging New Labels. Yong-Nan Zhu, Yufeng Li |
| 2020 | Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders. Yanbin Zhao, Lu Chen, Zhi Chen, Kai Yu |
| 2020 | SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation. Bianca Scarlini, Tommaso Pasini, Roberto Navigli |
| 2020 | Sentence Generation for Entity Description with Content-Plan Attention. Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang |
| 2020 | Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning. Jiancheng Wang, Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou |
| 2020 | Separate in Latent Space: Unsupervised Single Image Layer Separation. Yunfei Liu, Feng Lu |
| 2020 | Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh |
| 2020 | Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin |
| 2020 | Sequential Mode Estimation with Oracle Queries. Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan |
| 2020 | Sequential Recommendation with Relation-Aware Kernelized Self-Attention. Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon |
| 2020 | Session-Level User Satisfaction Prediction for Customer Service Chatbot in E-Commerce (Student Abstract). Riheng Yao, Shuangyong Song, Qiudan Li, Chao Wang, Huan Chen, Haiqing Chen, Daniel Dajun Zeng |
| 2020 | SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong |
| 2020 | Shallow Feature Based Dense Attention Network for Crowd Counting. Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han |
| 2020 | Shape-Aware Organ Segmentation by Predicting Signed Distance Maps. Yuan Xue, Hui Tang, Zhi Qiao, Guanzhong Gong, Yong Yin, Zhen Qian, Chao Huang, Wei Fan, Xiaolei Huang |
| 2020 | Shape-Oriented Convolution Neural Network for Point Cloud Analysis. Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai |
| 2020 | Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games. Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu |
| 2020 | Shared Generative Latent Representation Learning for Multi-View Clustering. Ming Yin, Weitian Huang, Junbin Gao |
| 2020 | Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract). Xitong Zhang, He Zhu, Jiayu Zhou |
| 2020 | Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms. Xitong Zhang, He Zhu, Jiayu Zhou |
| 2020 | Show, Recall, and Tell: Image Captioning with Recall Mechanism. Li Wang, Zechen Bai, Yonghua Zhang, Hongtao Lu |
| 2020 | SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines. Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu |
| 2020 | Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments. Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu |
| 2020 | Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation. Jia Li, Wen Su, Zengfu Wang |
| 2020 | Simplify-Then-Translate: Automatic Preprocessing for Black-Box Translation. Sneha Mehta, Bahareh Azarnoush, Boris Chen, Avneesh Saluja, Vinith Misra, Ballav Bihani, Ritwik Kumar |
| 2020 | Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification. Liang Li, Weirui Ye, Mingsheng Long, Yateng Tang, Jin Xu, Jianmin Wang |
| 2020 | Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision. Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum |
| 2020 | Single Camera Training for Person Re-Identification. Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li, Qi Tian |
| 2020 | Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems. Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns |
| 2020 | Social Influence Does Matter: User Action Prediction for In-Feed Advertising. Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, Xiaoman Zhao, Chong Peng, Gong Chen, Xiaoyong Du |
| 2020 | Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning. Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang |
| 2020 | Software Testing for Machine Learning. Dusica Marijan, Arnaud Gotlieb |
| 2020 | Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold. Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic |
| 2020 | Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe |
| 2020 | Solving Sequential Text Classification as Board-Game Playing. Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua |
| 2020 | Solving Set Cover and Dominating Set via Maximum Satisfiability. Zhendong Lei, Shaowei Cai |
| 2020 | Solving Sum-of-Costs Multi-Agent Pathfinding with Answer-Set Programming. Rodrigo N. Gómez, Carlos Hernández, Jorge A. Baier |
| 2020 | Span Model for Open Information Extraction on Accurate Corpus. Junlang Zhan, Hai Zhao |
| 2020 | Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models. Yangming Li, Kaisheng Yao, Libo Qin, Shuang Peng, Yijia Liu, Xiaolong Li |
| 2020 | Sparsity-Inducing Binarized Neural Networks. Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng |
| 2020 | Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan |
| 2020 | Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation. Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, Jie Lin, Guangming Shi |
| 2020 | Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition. Hao Zhou, Wengang Zhou, Yun Zhou, Houqiang Li |
| 2020 | Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting. Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan |
| 2020 | Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang |
| 2020 | Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement. Jianing Deng, Li Wang, Shiliang Pu, Cheng Zhuo |
| 2020 | Spatio-Temporal Graph Structure Learning for Traffic Forecasting. Qi Zhang, Jianlong Chang, Gaofeng Meng, Shiming Xiang, Chunhong Pan |
| 2020 | Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar |
| 2020 | Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo |
| 2020 | Spherical Criteria for Fast and Accurate 360° Object Detection. Pengyu Zhao, Ansheng You, Yuanxing Zhang, Jiaying Liu, Kaigui Bian, Yunhai Tong |
| 2020 | Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon |
| 2020 | SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract). Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru |
| 2020 | Stable Learning via Sample Reweighting. Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang |
| 2020 | Stable Prediction with Model Misspecification and Agnostic Distribution Shift. Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li |
| 2020 | Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu |
| 2020 | Stereoscopic Image Super-Resolution with Stereo Consistent Feature. Wonil Song, Sungil Choi, Somi Jeong, Kwanghoon Sohn |
| 2020 | Stochastic Approximate Gradient Descent via the Langevin Algorithm. Yixuan Qiu, Xiao Wang |
| 2020 | Stochastic Loss Function. Qingliang Liu, Jinmei Lai |
| 2020 | Stochastic Online Learning with Probabilistic Graph Feedback. Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung |
| 2020 | Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval. Dung D. Le, Hady W. Lauw |
| 2020 | Story Realization: Expanding Plot Events into Sentences. Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl |
| 2020 | Storytelling from an Image Stream Using Scene Graphs. Ruize Wang, Zhongyu Wei, Piji Li, Qi Zhang, Xuanjing Huang |
| 2020 | Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network. Takehiro Kawasaki, Nathanaël Barrot, Seiji Takanashi, Taiki Todo, Makoto Yokoo |
| 2020 | Strategyproof Mechanisms for Friends and Enemies Games. Michele Flammini, Bojana Kodric, Giovanna Varricchio |
| 2020 | Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract). Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam |
| 2020 | Strongly Budget Balanced Auctions for Multi-Sided Markets. Rica Gonen, Erel Segal-Halevi |
| 2020 | Structural Decompositions of Epistemic Logic Programs. Markus Hecher, Michael Morak, Stefan Woltran |
| 2020 | Structure Learning for Approximate Solution of Many-Player Games. Zun Li, Michael P. Wellman |
| 2020 | Structure Learning for Headline Generation. Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | Structure-Aware Feature Fusion for Unsupervised Domain Adaptation. Qingchao Chen, Yang Liu |
| 2020 | Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract). Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou |
| 2020 | Structured Output Learning with Conditional Generative Flows. You Lu, Bert Huang |
| 2020 | Structured Sparsification of Gated Recurrent Neural Networks. Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov |
| 2020 | SubSpace Capsule Network. Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah |
| 2020 | Submodel Decomposition for Solving Limited Memory Influence Diagrams (Student Abstract). Junkyu Lee |
| 2020 | Subset Selection by Pareto Optimization with Recombination. Chao Qian, Chao Bian, Chao Feng |
| 2020 | Subsidy Allocations in the Presence of Income Shocks. Rediet Abebe, Jon M. Kleinberg, S. Matthew Weinberg |
| 2020 | Suicide Risk Assessment via Temporal Psycholinguistic Modeling (Student Abstract). Puneet Mathur, Ramit Sawhney, Rajiv Ratn Shah |
| 2020 | Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract). Zheng Wang, Bruno D. Abrahao, Ece Kamar |
| 2020 | Suspicion-Free Adversarial Attacks on Clustering Algorithms. Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra |
| 2020 | Swap Stability in Schelling Games on Graphs. Aishwarya Agarwal, Edith Elkind, Jiarui Gan, Alexandros A. Voudouris |
| 2020 | Symbiotic Attention with Privileged Information for Egocentric Action Recognition. Xiaohan Wang, Yu Wu, Linchao Zhu, Yi Yang |
| 2020 | Symbolic Top-k Planning. David Speck, Robert Mattmüller, Bernhard Nebel |
| 2020 | Symmetric Metric Learning with Adaptive Margin for Recommendation. Mingming Li, Shuai Zhang, Fuqing Zhu, Wanhui Qian, Liangjun Zang, Jizhong Han, Songlin Hu |
| 2020 | Symmetrical Synthesis for Deep Metric Learning. Geonmo Gu, Byungsoo Ko |
| 2020 | SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification. Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao |
| 2020 | Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks. Esma Mansouri-Benssassi, Juan Ye |
| 2020 | Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding. Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang, Chengqing Zong |
| 2020 | Syntactically Look-Ahead Attention Network for Sentence Compression. Hidetaka Kamigaito, Manabu Okumura |
| 2020 | Synthesizing Action Sequences for Modifying Model Decisions. Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi |
| 2020 | Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild. Yueying Kao, Weiming Li, Qiang Wang, Zhouchen Lin, Wooshik Kim, Sunghoon Hong |
| 2020 | System Identification with Time-Aware Neural Sequence Models. Thomas Demeester |
| 2020 | Systematically Exploring Associations among Multivariate Data. Lifeng Zhang |
| 2020 | TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection. Siddhant Garg, Thuy Vu, Alessandro Moschitti |
| 2020 | TANet: Robust 3D Object Detection from Point Clouds with Triple Attention. Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai |
| 2020 | TEINet: Towards an Efficient Architecture for Video Recognition. Zhaoyang Liu, Donghao Luo, Yabiao Wang, Limin Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Tong Lu |
| 2020 | TRENDNERT: A Benchmark for Trend and Downtrend Detection in a Scientific Domain. Alena Moiseeva, Hinrich Schütze |
| 2020 | Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data. Mengyu Zhou, Wang Tao, Pengxin Ji, Han Shi, Dongmei Zhang |
| 2020 | Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference. Sriram Srinivasan, Eriq Augustine, Lise Getoor |
| 2020 | TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu |
| 2020 | Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis. Hai Wan, Yufei Yang, Jianfeng Du, Yanan Liu, Kunxun Qi, Jeff Z. Pan |
| 2020 | Task Scoping for Efficient Planning in Open Worlds (Student Abstract). Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael Littman, George Konidaris |
| 2020 | Task and Motion Planning Is PSPACE-Complete. William Vega-Brown, Nicholas Roy |
| 2020 | Task-Aware Monocular Depth Estimation for 3D Object Detection. Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen |
| 2020 | Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context. Yichi Zhang, Zhijian Ou, Zhou Yu |
| 2020 | Teaching Constraint Programming Using Fable-Based Learning. Mavis Chan, Cecilia Chun, Holly Fung, Jimmy H. M. Lee, Peter J. Stuckey |
| 2020 | Teaching Game AI as an Undergraduate Course in Computational Media. Adam M. Smith, Daniel G. Shapiro |
| 2020 | Teaching Undergraduate Artificial Intelligence Classes: An Experiment with an Attendance Requirement. Sven Koenig, Tansel Uras, Liron Cohen |
| 2020 | Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction. Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak |
| 2020 | TellTail: Fast Scoring and Detection of Dense Subgraphs. Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos |
| 2020 | TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization. Yu-Hsiu Chen, Pin-Yu Chen, Hong-Han Shuai, Wen-Chih Peng |
| 2020 | Temporal Context Enhanced Feature Aggregation for Video Object Detection. Fei He, Naiyu Gao, Qiaozhe Li, Senyao Du, Xin Zhao, Kaiqi Huang |
| 2020 | Temporal Interlacing Network. Hao Shao, Shengju Qian, Yu Liu |
| 2020 | Temporal Logics Over Finite Traces with Uncertainty. Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza |
| 2020 | Temporal Network Embedding with High-Order Nonlinear Information. Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia |
| 2020 | Temporal Planning with Intermediate Conditions and Effects. Alessandro Valentini, Andrea Micheli, Alessandro Cimatti |
| 2020 | Temporal Pyramid Recurrent Neural Network. Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell |
| 2020 | Temporally Grounding Language Queries in Videos by Contextual Boundary-Aware Prediction. Jingwen Wang, Lin Ma, Wenhao Jiang |
| 2020 | Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction. Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung |
| 2020 | Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging. Xiaochen Han, Bo Wu, Zheng Shou, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong |
| 2020 | Tensor Graph Convolutional Networks for Text Classification. Xien Liu, Xinxin You, Xiao Zhang, Ji Wu, Ping Lv |
| 2020 | Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang |
| 2020 | Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang |
| 2020 | Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting. Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu |
| 2020 | TextNAS: A Neural Architecture Search Space Tailored for Text Representation. Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou |
| 2020 | TextScanner: Reading Characters in Order for Robust Scene Text Recognition. Zhaoyi Wan, Minghang He, Haoran Chen, Xiang Bai, Cong Yao |
| 2020 | That and There: Judging the Intent of Pointing Actions with Robotic Arms. Malihe Alikhani, Baber Khalid, Rahul Shome, Chaitanya Mitash, Kostas E. Bekris, Matthew Stone |
| 2020 | The Choice Function Framework for Online Policy Improvement. Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli |
| 2020 | The Complexity of Computing Maximin Share Allocations on Graphs. Gianluigi Greco, Francesco Scarcello |
| 2020 | The Effectiveness of Peer Prediction in Long-Term Forecasting. Debmalya Mandal, Goran Radanovic, David C. Parkes |
| 2020 | The HSIC Bottleneck: Deep Learning without Back-Propagation. Kurt Wan-Duo Ma, J. P. Lewis, W. Bastiaan Kleijn |
| 2020 | The Impact of Selfishness in Hypergraph Hedonic Games. Alessandro Aloisio, Michele Flammini, Cosimo Vinci |
| 2020 | The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network. Arnaud Dapogny, Matthieu Cord, Patrick Pérez |
| 2020 | The St. Petersburg Paradox: A Fresh Algorithmic Perspective. Ardavan Salehi Nobandegani, Thomas R. Shultz |
| 2020 | The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response. Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin |
| 2020 | The Surprising Power of Hiding Information in Facility Location. Safwan Hossain, Evi Micha, Nisarg Shah |
| 2020 | The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. |
| 2020 | The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research. John Kalantari, Heidi Nelson, Nicholas Chia |
| 2020 | The Value of Paraphrase for Knowledge Base Predicates. Bingcong Xue, Sen Hu, Lei Zou, Jiashu Cheng |
| 2020 | Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu |
| 2020 | Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke |
| 2020 | Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract). Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang |
| 2020 | Time-Inconsistent Planning: Simple Motivation Is Hard to Find. Fedor V. Fomin, Torstein J. F. Strømme |
| 2020 | Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song |
| 2020 | To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer. Yuanyuan Xu, Jun Wang, Jinmao Wei |
| 2020 | To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe |
| 2020 | Top-Down RST Parsing Utilizing Granularity Levels in Documents. Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata |
| 2020 | Top-Quality Planning: Finding Practically Useful Sets of Best Plans. Michael Katz, Shirin Sohrabi, Octavian Udrea |
| 2020 | Topic Enhanced Controllable CVAE for Dialogue Generation (Student Abstract). Yiru Wang, Pengda Si, Zeyang Lei, Yujiu Yang |
| 2020 | Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang |
| 2020 | Topic Modeling on Document Networks with Adjacent-Encoder. Ce Zhang, Hady W. Lauw |
| 2020 | Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li |
| 2020 | Toward Operational Safety Verification of AI-Enabled CPS (Student Abstract). Imane Lamrani, Ayan Banerjee, Sandeep K. S. Gupta |
| 2020 | Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian |
| 2020 | Towards Adversarially Robust Knowledge Graph Embeddings. Peru Bhardwaj |
| 2020 | Towards Awareness of Human Relational Strategies in Virtual Agents. Ian Beaver, Cynthia Freeman, Abdullah Mueen |
| 2020 | Towards Better Forecasting by Fusing Near and Distant Future Visions. Jiezhu Cheng, Kaizhu Huang, Zibin Zheng |
| 2020 | Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets. Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu |
| 2020 | Towards Certificated Model Robustness Against Weight Perturbations. Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel |
| 2020 | Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data. Dilruk Perera, Roger Zimmermann |
| 2020 | Towards Consistent Variational Auto-Encoding (Student Abstract). Yijing Liu, Shuyu Lin, Ronald Clark |
| 2020 | Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation. Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng |
| 2020 | Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He |
| 2020 | Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN. Xiaodong Cun, Chi-Man Pun, Cheng Shi |
| 2020 | Towards Hands-Free Visual Dialog Interactive Recommendation. Tong Yu, Yilin Shen, Hongxia Jin |
| 2020 | Towards Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping (Student Abstract). Kira Vinogradova, Alexandr Dibrov, Gene Myers |
| 2020 | Towards Interpretation of Pairwise Learning. Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang |
| 2020 | Towards Making the Most of BERT in Neural Machine Translation. Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li |
| 2020 | Towards Minimal Supervision BERT-Based Grammar Error Correction (Student Abstract). Yiyuan Li, Antonios Anastasopoulos, Alan W. Black |
| 2020 | Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos. Congcong Zhu, Hao Liu, Zhenhua Yu, Xuehong Sun |
| 2020 | Towards Oracle Knowledge Distillation with Neural Architecture Search. Minsoo Kang, Jonghwan Mun, Bohyung Han |
| 2020 | Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin |
| 2020 | Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset. Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, Pranav Khaitan |
| 2020 | Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning. Wenhan Yang, Shiqi Wang, Dejia Xu, Xiaodong Wang, Jiaying Liu |
| 2020 | Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning. Procheta Sen, Debasis Ganguly |
| 2020 | Towards Universal Languages for Tractable Ontology Mediated Query Answering. Heng Zhang, Yan Zhang, Jia-Huai You, Zhiyong Feng, Guifei Jiang |
| 2020 | Towards Zero-Shot Learning for Automatic Phonemic Transcription. Xinjian Li, Siddharth Dalmia, David R. Mortensen, Juncheng Li, Alan W. Black, Florian Metze |
| 2020 | Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract). Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor |
| 2020 | TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets. Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni |
| 2020 | Tracking Disaster Footprints with Social Streaming Data. Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu |
| 2020 | Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification. Guile Wu, Xiatian Zhu, Shaogang Gong |
| 2020 | Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization. Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2020 | Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond. Jianjun Yuan, Andrew G. Lamperski |
| 2020 | Training Decision Trees as Replacement for Convolution Layers. Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci |
| 2020 | Training-Time-Friendly Network for Real-Time Object Detection. Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai |
| 2020 | Transductive Ensemble Learning for Neural Machine Translation. Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu |
| 2020 | Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection. Vincent Vercruyssen, Wannes Meert, Jesse Davis |
| 2020 | Transfer Reinforcement Learning Using Output-Gated Working Memory. Arthur Williams, Joshua L. Phillips |
| 2020 | Transfer Value Iteration Networks. Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan |
| 2020 | Transformer-Capsule Model for Intent Detection (Student Abstract). Aleksander Obuchowski, Michal Lew |
| 2020 | Translation-Based Matching Adversarial Network for Cross-Lingual Natural Language Inference. Kunxun Qi, Jianfeng Du |
| 2020 | Translucent Answer Predictions in Multi-Hop Reading Comprehension. G. P. Shrivatsa Bhargav, Michael R. Glass, Dinesh Garg, Shirish K. Shevade, Saswati Dana, Dinesh Khandelwal, L. Venkata Subramaniam, Alfio Gliozzo |
| 2020 | Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang |
| 2020 | Travel Time Prediction on Un-Monitored Roads: A Spatial Factorization Machine Based Approach (Student Abstract). Lile Li, Wei Liu |
| 2020 | Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video. Jie Wu, Guanbin Li, Si Liu, Liang Lin |
| 2020 | TreeGen: A Tree-Based Transformer Architecture for Code Generation. Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang |
| 2020 | Trimodal Attention Module for Multimodal Sentiment Analysis (Student Abstract). Anirudh Bindiganavale Harish, Fatiha Sadat |
| 2020 | True Nonlinear Dynamics from Incomplete Networks. Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail |
| 2020 | TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor |
| 2020 | Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks. Tianbo Li, Yiping Ke |
| 2020 | Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology. Gözde Gül Sahin, Iryna Gurevych |
| 2020 | Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation. Goran Glavas, Swapna Somasundaran |
| 2020 | Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network. Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu |
| 2020 | UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions. Marjaneh Safaei, Pooyan Balouchian, Hassan Foroosh |
| 2020 | URNet: User-Resizable Residual Networks with Conditional Gating Module. Sang-Ho Lee, Simyung Chang, Nojun Kwak |
| 2020 | Ultrafast Photorealistic Style Transfer via Neural Architecture Search. Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo |
| 2020 | Ultrafast Video Attention Prediction with Coupled Knowledge Distillation. Kui Fu, Peipei Shi, Yafei Song, Shiming Ge, Xiangju Lu, Jia Li |
| 2020 | Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang |
| 2020 | Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor |
| 2020 | Uncertainty-Aware Deep Classifiers Using Generative Models. Murat Sensoy, Lance M. Kaplan, Federico Cerutti, Maryam Saleki |
| 2020 | Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification. Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen |
| 2020 | Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa |
| 2020 | Uncorrected Least-Squares Temporal Difference with Lambda-Return. Takayuki Osogami |
| 2020 | Understanding Chat Messages for Sticker Recommendation in Messaging Apps. Abhishek Laddha, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa, Ankur Narang |
| 2020 | Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities. Subhajit Chaudhury |
| 2020 | Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang |
| 2020 | Understanding and Improving Proximity Graph Based Maximum Inner Product Search. Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang |
| 2020 | Understanding the Disharmony between Weight Normalization Family and Weight Decay. Xiang Li, Shuo Chen, Jian Yang |
| 2020 | Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base. Vanda Balogh, Gábor Berend, Dimitrios I. Diochnos, György Turán |
| 2020 | Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang |
| 2020 | Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha |
| 2020 | Unified Vision-Language Pre-Training for Image Captioning and VQA. Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao |
| 2020 | Universal Adversarial Training. Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein |
| 2020 | Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal. Li Zhang, Xin Li, Sen Chen, Hongyu Zang, Jie Huang, Mingzhong Wang |
| 2020 | Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li |
| 2020 | Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software. Satoshi Kosugi, Toshihiko Yamasaki |
| 2020 | Unsupervised Attributed Multiplex Network Embedding. Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu |
| 2020 | Unsupervised Deep Learning via Affinity Diffusion. Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu |
| 2020 | Unsupervised Detection of Sub-Events in Large Scale Disasters. Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes |
| 2020 | Unsupervised Domain Adaptation on Reading Comprehension. Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou |
| 2020 | Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment. You-Wei Luo, Chuan-Xian Ren, Pengfei Ge, Ke-Kun Huang, Yu-Feng Yu |
| 2020 | Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. Qian Wang, Toby P. Breckon |
| 2020 | Unsupervised Interlingual Semantic Representations from Sentence Embeddings for Zero-Shot Cross-Lingual Transfer. Channy Hong, Jaeyeon Lee, Jungkwon Lee |
| 2020 | Unsupervised Metric Learning with Synthetic Examples. Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar |
| 2020 | Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling. Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, Ben C. H. Ao |
| 2020 | Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang |
| 2020 | Unveiling Hidden Intentions. Gerardo Ocampo Diaz, Vincent Ng |
| 2020 | Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding. Zhecheng Wang, Haoyuan Li, Ram Rajagopal |
| 2020 | Using AI Techniques in a Serious Game for Socio-Moral Reasoning Development. Ange Tato, Roger Nkambou, Aude Dufresne |
| 2020 | Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources. Arthur Godet, Xavier Lorca, Emmanuel Hebrard, Gilles Simonin |
| 2020 | Using Chinese Glyphs for Named Entity Recognition (Student Abstract). Chan Hee Song, Arijit Sehanobish |
| 2020 | Using Cloud Tools for Literate Programming to Redesign an AI Course for Non-Traditional College Students. Maria L. Hwang, Calvin Williamson |
| 2020 | Using Small Business Banking Data for Explainable Credit Risk Scoring. Wei Wang, Christopher Lesner, Alexander Ran, Marko Rukonic, Jason Xue, Eric Shiu |
| 2020 | V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2020 | VCG under Sybil (False-Name) Attacks - A Bayesian Analysis. Yotam Gafni, Ron Lavi, Moshe Tennenholtz |
| 2020 | VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract). Liangzhu Ge, Yuexian Hou, Yaju Jiang, Shuai Yao, Chao Yang |
| 2020 | Variational Adversarial Kernel Learned Imitation Learning. Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong |
| 2020 | Variational Inference for Sparse Gaussian Process Modulated Hawkes Process. Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu |
| 2020 | Variational Metric Scaling for Metric-Based Meta-Learning. Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung |
| 2020 | Variational Pathway Reasoning for EEG Emotion Recognition. Tong Zhang, Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang |
| 2020 | Vector Quantization-Based Regularization for Autoencoders. Hanwei Wu, Markus Flierl |
| 2020 | Verb Class Induction with Partial Supervision. Daniel W. Peterson, Susan Windisch Brown, Martha Palmer |
| 2020 | Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning. Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang |
| 2020 | Video Face Super-Resolution with Motion-Adaptive Feedback Cell. Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao, Zhifeng Li |
| 2020 | Video Frame Interpolation via Deformable Separable Convolution. Xianhang Cheng, Zhenzhong Chen |
| 2020 | Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract). Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish |
| 2020 | Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Xing Sun, Wei-Shi Zheng |
| 2020 | Visual Agreement Regularized Training for Multi-Modal Machine Translation. Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun |
| 2020 | Visual Dialogue State Tracking for Question Generation. Wei Pang, Xiaojie Wang |
| 2020 | Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain. Jongwon Choi, Youngjoon Choi, Jihoon Kim, Jin-Yeop Chang, Ilhwan Kwon, Youngjune Gwon, Seungjai Min |
| 2020 | Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee |
| 2020 | Visual Tactile Fusion Object Clustering. Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding |
| 2020 | Visualizing Deep Networks by Optimizing with Integrated Gradients. Zhongang Qi, Saeed Khorram, Fuxin Li |
| 2020 | Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2020 | Weak Supervision for Fake News Detection via Reinforcement Learning. Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao |
| 2020 | Weakly Supervised Disentanglement by Pairwise Similarities. Junxiang Chen, Kayhan Batmanghelich |
| 2020 | Weakly Supervised POS Taggers Perform Poorly on Katharina Kann, Ophélie Lacroix, Anders Søgaard |
| 2020 | Weakly Supervised Sequence Tagging from Noisy Rules. Esteban Safranchik, Shiying Luo, Stephen H. Bach |
| 2020 | Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management. Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi |
| 2020 | Weakly-Supervised Opinion Summarization by Leveraging External Information. Chao Zhao, Snigdha Chaturvedi |
| 2020 | Weakly-Supervised Video Moment Retrieval via Semantic Completion Network. Zhijie Lin, Zhou Zhao, Zhu Zhang, Qi Wang, Huasheng Liu |
| 2020 | Weakly-Supervised Video Re-Localization with Multiscale Attention Model. Yung-Han Huang, Kuang-Jui Hsu, Shyh-Kang Jeng, Yen-Yu Lin |
| 2020 | Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification. Chuanyi Zhang, Yazhou Yao, Huafeng Liu, Guo-Sen Xie, Xiangbo Shu, Tianfei Zhou, Zheng Zhang, Fumin Shen, Zhenmin Tang |
| 2020 | Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces. Takamasa Okudono, Masaki Waga, Taro Sekiyama, Ichiro Hasuo |
| 2020 | Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. Dimitrios Sarigiannis, Thomas P. Parnell, Haralampos Pozidis |
| 2020 | Weighted-Sampling Audio Adversarial Example Attack. Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu |
| 2020 | What Do You Mean 'Why?': Resolving Sluices in Conversations. Victor Petrén Bach Hansen, Anders Søgaard |
| 2020 | What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics. Ze Gong, Yu Zhang |
| 2020 | What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig |
| 2020 | When AWGN-Based Denoiser Meets Real Noises. Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas S. Huang |
| 2020 | When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract). Shumin Deng, Ningyu Zhang, Zhanlin Sun, Jiaoyan Chen, Huajun Chen |
| 2020 | When Radiology Report Generation Meets Knowledge Graph. Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu |
| 2020 | Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2020 | Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract). Jiacheng Li, Chunyuan Yuan, Wei Zhou, Jingli Wang, Songlin Hu |
| 2020 | Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang |
| 2020 | Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao |
| 2020 | Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER. Peng-Hsuan Li, Tsu-Jui Fu, Wei-Yun Ma |
| 2020 | WinoGrande: An Adversarial Winograd Schema Challenge at Scale. Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2020 | Word-Level Contextual Sentiment Analysis with Interpretability. Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi |
| 2020 | Working Memory-Driven Neural Networks with a Novel Knowledge Enhancement Paradigm for Implicit Discourse Relation Recognition. Fengyu Guo, Ruifang He, Jianwu Dang, Jian Wang |
| 2020 | Zero Shot Learning with the Isoperimetric Loss. Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto |
| 2020 | Zero-Resource Cross-Lingual Named Entity Recognition. M. Saiful Bari, Shafiq R. Joty, Prathyusha Jwalapuram |
| 2020 | Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua |
| 2020 | Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature. Bo Liu, Qiulei Dong, Zhanyi Hu |
| 2020 | Zero-Shot Sketch-Based Image Retrieval via Graph Convolution Network. Zhaolong Zhang, Yuejie Zhang, Rui Feng, Tao Zhang, Weiguo Fan |
| 2020 | Zero-Shot Text-to-SQL Learning with Auxiliary Task. Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou |
| 2020 | Zhorai: Designing a Conversational Agent for Children to Explore Machine Learning Concepts. Phoebe Lin, Jessica Van Brummelen, Galit Lukin, Randi Williams, Cynthia Breazeal |
| 2020 | ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection. Zhenbo Xu, Wei Zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, Liusheng Huang |
| 2020 | iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection. Chenfan Zhuang, Xintong Han, Weilin Huang, Matthew R. Scott |