| 2020 | "The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering. Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos |
| 2020 | A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time. Elena Burceanu, Marius Leordeanu |
| 2020 | A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery. Yijing Luo, Bo Han, Chen Gong |
| 2020 | A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward). Stefan Kramer |
| 2020 | A Complete Characterization of Projectivity for Statistical Relational Models. Manfred Jaeger, Oliver Schulte |
| 2020 | A Dataset Complexity Measure for Analogical Transfer. Fadi Badra |
| 2020 | A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition. Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang |
| 2020 | A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation. Pallavi Bagga, Nicola Paoletti, Bedour Alrayes, Kostas Stathis |
| 2020 | A Dual Input-aware Factorization Machine for CTR Prediction. Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan |
| 2020 | A Formal Approach for Cautious Reasoning in Answer Set Programming (Extended Abstract). Giovanni Amendola, Carmine Dodaro, Marco Maratea |
| 2020 | A Framework for Reasoning about Dynamic Axioms in Description Logics. Bartosz Bednarczyk, Stéphane Demri, Alessio Mansutti |
| 2020 | A Fully Rational Account of Structured Argumentation Under Resource Bounds. Marcello D'Agostino, Sanjay Modgil |
| 2020 | A Game Theoretic Approach For Core Resilience. Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh |
| 2020 | A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson's disease (DPD) Co-Morbidity. Zhiwei Zeng, Hongchao Jiang, Yanci Zhang, Zhiqi Shen, Jun Ji, Martin J. McKeown, Jing Jih Chin, Cyril Leung, Chunyan Miao |
| 2020 | A Graph-based Interactive Reasoning for Human-Object Interaction Detection. Dongming Yang, Yuexian Zou |
| 2020 | A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng |
| 2020 | A Journey into Ontology Approximation: From Non-Horn to Horn. Anneke Haga, Carsten Lutz, Johannes Marti, Frank Wolter |
| 2020 | A Label Attention Model for ICD Coding from Clinical Text. Thanh Vu, Dat Quoc Nguyen, Anthony N. Nguyen |
| 2020 | A Logic of Directions. Heshan Du, Natasha Alechina, Anthony G. Cohn |
| 2020 | A Modal Logic for Joint Abilities under Strategy Commitments. Zhaoshuai Liu, Liping Xiong, Yongmei Liu, Yves Lespérance, Ronghai Xu, Hongyi Shi |
| 2020 | A Multi-Objective Approach to Mitigate Negative Side Effects. Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein |
| 2020 | A Multi-player Game for Studying Federated Learning Incentive Schemes. Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang |
| 2020 | A New Attention Mechanism to Classify Multivariate Time Series. Yifan Hao, Huiping Cao |
| 2020 | A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study. Luca Romeo, Giuseppe Armentano, Antonio Nicolucci, Marco Vespasiani, Giacomo Vespasiani, Emanuele Frontoni |
| 2020 | A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork. Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, Peter Stone |
| 2020 | A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock |
| 2020 | A Relation-Specific Attention Network for Joint Entity and Relation Extraction. Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo |
| 2020 | A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li |
| 2020 | A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification. Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang |
| 2020 | A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong |
| 2020 | A Speech-to-Knowledge-Graph Construction System. Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu |
| 2020 | A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments. Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang, Qi Tian |
| 2020 | A Survey on Computational Propaganda Detection. Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov |
| 2020 | A Survey on Representation Learning for User Modeling. Sheng Li, Handong Zhao |
| 2020 | A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract). Artuur Leeuwenberg, Marie-Francine Moens |
| 2020 | A Survey on Using Gaze Behaviour for Natural Language Processing. Sandeep Mathias, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya |
| 2020 | A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems. Harrison Jun Yong Wong, Zichao Deng, Han Yu, Jianqiang Huang, Cyril Leung, Chunyan Miao |
| 2020 | A Two-Stage Matheuristic Algorithm for Classical Inventory Routing Problem. Zhouxing Su, Shihao Huang, Chungen Li, Zhipeng Lü |
| 2020 | A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem. Xin Huang, Duan Li |
| 2020 | A Unified Model for Financial Event Classification, Detection and Summarization. Quanzhi Li, Qiong Zhang |
| 2020 | A Unified Model for the Two-stage Offline-then-Online Resource Allocation. Yifan Xu, Pan Xu, Jianping Pan, Jun Tao |
| 2020 | A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract). Hernán Vargas, Carlos Buil-Aranda, Aidan Hogan, Claudia López |
| 2020 | AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining. Chongsheng Zhang, Ruixing Zong, Shuang Cao, Yi Men, Bofeng Mo |
| 2020 | AILA: A Question Answering System in the Legal Domain. Weiyi Huang, Jiahao Jiang, Qiang Qu, Min Yang |
| 2020 | Accelerating Stratified Sampling SGD by Reconstructing Strata. Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng |
| 2020 | Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems. Boli Fang, Miao Jiang, Pei-Yi Cheng, Jerry Shen, Yi Fang |
| 2020 | Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection. Xue Lin, Qi Zou, Xixia Xu |
| 2020 | AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou |
| 2020 | Adaptively Multi-Objective Adversarial Training for Dialogue Generation. Xuemiao Zhang, Zhouxing Tan, Xiaoning Zhang, Yang Cao, Rui Yan |
| 2020 | Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller |
| 2020 | Adversarial Mutual Information Learning for Network Embedding. Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu |
| 2020 | Adversarial Oracular Seq2seq Learning for Sequential Recommendation. Pengyu Zhao, Tianxiao Shui, Yuanxing Zhang, Kecheng Xiao, Kaigui Bian |
| 2020 | Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder. Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu |
| 2020 | Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract). Oswin Krause, Asja Fischer, Christian Igel |
| 2020 | All-Instances Oblivious Chase Termination is Undecidable for Single-Head Binary TGDs. Bartosz Bednarczyk, Robert Ferens, Piotr Ostropolski-Nalewaja |
| 2020 | Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training. Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren |
| 2020 | Almost Group Envy-free Allocation of Indivisible Goods and Chores. Haris Aziz, Simon Rey |
| 2020 | Altruism in Coalition Formation Games. Anna Maria Kerkmann, Jörg Rothe |
| 2020 | An AI-empowered Visual Storyline Generator. Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao |
| 2020 | An Algorithm for Multi-Attribute Diverse Matching. Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller |
| 2020 | An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems. Roy Assaf, Ioana Giurgiu, Jonas Pfefferle, Serge Monney, Haris Pozidis, Anika Schumann |
| 2020 | An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration. Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan |
| 2020 | An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization. Siyu Lin, Peter A. Beling |
| 2020 | An Exact Single-Agent Task Selection Algorithm for the Crowdsourced Logistics. Chung-Kyun Han, Shih-Fen Cheng |
| 2020 | An Improved Latent Low Rank Representation for Automatic Subspace Clustering. Ya-nan Han, Jianwei Liu, Xiong-Lin Luo |
| 2020 | An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner |
| 2020 | An Interactive Visualization Platform for Deep Symbolic Regression. Joanne Taery Kim, Sookyung Kim, Brenden K. Petersen |
| 2020 | An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension. Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo |
| 2020 | An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani |
| 2020 | Analogy Between Concepts (Extended Abstract). Nelly Barbot, Laurent Miclet, Henri Prade |
| 2020 | Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent. Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang |
| 2020 | Answer Generation through Unified Memories over Multiple Passages. Makoto Nakatsuji, Sohei Okui |
| 2020 | Answering Counting Queries over DL-Lite Ontologies. Meghyn Bienvenu, Quentin Manière, Michaël Thomazo |
| 2020 | Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource Types. Trung Thanh Nguyen, Jörg Rothe |
| 2020 | Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry. Timothy van Bremen, Ondrej Kuzelka |
| 2020 | Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning. Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He |
| 2020 | Argot: Generating Adversarial Readable Chinese Texts. Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun |
| 2020 | Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction. Tianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li |
| 2020 | Assume-Guarantee Synthesis for Prompt Linear Temporal Logic. Nathanaël Fijalkow, Bastien Maubert, Aniello Murano, Moshe Y. Vardi |
| 2020 | Asymmetric Distribution Measure for Few-shot Learning. Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo |
| 2020 | AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation. Gege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun |
| 2020 | Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction. Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu |
| 2020 | Attention-based Multi-level Feature Fusion for Named Entity Recognition. Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang |
| 2020 | AutoSurvey: Automatic Survey Generation based on a Research Draft. Hen-Hsen Huang |
| 2020 | Automated Construction of Bounded-Loss Imperfect-Recall Abstractions in Extensive-Form Games (Extended Abstract). Jirí Cermák, Viliam Lisý, Branislav Bosanský |
| 2020 | Automatic Curriculum Learning For Deep RL: A Short Survey. Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer |
| 2020 | Automatic Dominance Breaking for a Class of Constraint Optimization Problems. Jimmy Ho-Man Lee, Allen Z. Zhong |
| 2020 | Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding. Ke Wang, Xuyan Chen, Ning Chen, Ting Chen |
| 2020 | Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers. Kaisheng Wu, Liangda Fang, Liping Xiong, Zhao-Rong Lai, Yong Qiao, Kaidong Chen, Fei Rong |
| 2020 | Auxiliary Template-Enhanced Generative Compatibility Modeling. Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma |
| 2020 | BANANA: when Behavior ANAlysis meets social Network Alignment. Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo |
| 2020 | BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation. Zhen-Liang Ni, Gui-Bin Bian, Guan'an Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Zhen Li, Yuhan Wang |
| 2020 | BDI Agent Architectures: A Survey. Lavindra de Silva, Felipe Meneguzzi, Brian Logan |
| 2020 | BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment. Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li |
| 2020 | BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval. Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma |
| 2020 | BRPO: Batch Residual Policy Optimization. Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier |
| 2020 | BaKer-Nets: Bayesian Random Kernel Mapping Networks. Hui Xue, Zheng-Fan Wu |
| 2020 | Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning. Ishan Durugkar, Elad Liebman, Peter Stone |
| 2020 | Batch Decorrelation for Active Metric Learning. Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri |
| 2020 | Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract). Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mohammed Temraz, Mark T. Keane |
| 2020 | Bayesian Decision Process for Budget-efficient Crowdsourced Clustering. Xiaozhou Wang, Xi Chen, Qihang Lin, Weidong Liu |
| 2020 | Bayesian Optimization using Pseudo-Points. Chao Qian, Hang Xiong, Ke Xue |
| 2020 | Belief Merging Operators as Maximum Likelihood Estimators. Patricia Everaere, Sébastien Konieczny, Pierre Marquis |
| 2020 | Best Arm Identification in Spectral Bandits. Tomás Kocák, Aurélien Garivier |
| 2020 | Best-first Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation (Extended Abstract). Eric Timmons, Brian C. Williams |
| 2020 | Better AMR-To-Text Generation with Graph Structure Reconstruction. Tianming Wang, Xiaojun Wan, Shaowei Yao |
| 2020 | Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification. Zheng Wang, Zhixiang Wang, Yinqiang Zheng, Yang Wu, Wenjun Zeng, Shin'ichi Satoh |
| 2020 | Beyond Labels: Knowledge Elicitation using Deep Metric Learning and Psychometric Testing. Lu Yin |
| 2020 | Beyond Network Pruning: a Joint Search-and-Training Approach. Xiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi |
| 2020 | Bi-level Probabilistic Feature Learning for Deformable Image Registration. Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo |
| 2020 | Biased Feature Learning for Occlusion Invariant Face Recognition. Changbin Shao, Jing Huo, Lei Qi, Zhenhua Feng, Wenbin Li, Chuanqi Dong, Yang Gao |
| 2020 | Biased Opinion Dynamics: When the Devil is in the Details. Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo |
| 2020 | Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li |
| 2020 | Bidirectional Heuristic Search: Expanding Nodes by a Lower Bound. Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun |
| 2020 | Bilinear Graph Neural Network with Neighbor Interactions. Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang |
| 2020 | Binary Classification from Positive Data with Skewed Confidence. Kazuhiko Shinoda, Hirotaka Kaji, Masashi Sugiyama |
| 2020 | Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPs. Ruiwei Wang, Roland H. C. Yap |
| 2020 | BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain. Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu |
| 2020 | BlueMemo: Depression Analysis through Twitter Posts. Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei |
| 2020 | Boolean Games: Inferring Agents' Goals Using Taxation Queries. Abhijin Adiga, Sarit Kraus, Oleg Maksimov, S. S. Ravi |
| 2020 | Bottom-up and Top-down: Bidirectional Additive Net for Edge Detection. Lianli Gao, Zhilong Zhou, Heng Tao Shen, Jingkuan Song |
| 2020 | Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains. Florent Teichteil-Königsbuch, Miquel Ramírez, Nir Lipovetzky |
| 2020 | Bridging Causality and Learning: How Do They Benefit from Each Other? Mingming Gong |
| 2020 | Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation. Yingwei Zhang, Yiqiang Chen, Hanchao Yu, Zeping Lv, Qing Li, Xiaodong Yang |
| 2020 | Bridging the Gap between Training and Inference for Neural Machine Translation (Extended Abstract). Wen Zhang, Yang Feng, Qun Liu |
| 2020 | Budgeted Facility Location Games with Strategic Facilities. Minming Li, Chenhao Wang, Mengqi Zhang |
| 2020 | C3MM: Clique-Closure based Hyperlink Prediction. Govind Sharma, Prasanna Patil, M. Narasimha Murty |
| 2020 | CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning. Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang |
| 2020 | CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie |
| 2020 | CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann |
| 2020 | Can Cross Entropy Loss Be Robust to Label Noise? Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An |
| 2020 | Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract). Alvaro Perez-Diaz, Enrico H. Gerding, Frank McGroarty |
| 2020 | Cause-Effect Association between Event Pairs in Event Datasets. Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian |
| 2020 | Certifai: A Toolkit for Building Trust in AI Systems. Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh |
| 2020 | Channel Pruning via Automatic Structure Search. Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian |
| 2020 | Channel-Level Variable Quantization Network for Deep Image Compression. Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa |
| 2020 | Characterizing Similarity of Visual Stimulus from Associated Neuronal Response. Vikram Ravindra, Ananth Grama |
| 2020 | Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu |
| 2020 | Class Prior Estimation in Active Positive and Unlabeled Learning. Lorenzo Perini, Vincent Vercruyssen, Jesse Davis |
| 2020 | Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax. Xin Wang, Siu-Ming Yiu |
| 2020 | Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu |
| 2020 | Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning. Nicholas Mattei |
| 2020 | Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos. Jiawei Liu, Zheng-Jun Zha, Xierong Zhu, Na Jiang |
| 2020 | CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP. Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che |
| 2020 | Collaboration Based Multi-Label Propagation for Fraud Detection. Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen |
| 2020 | Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos. Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao |
| 2020 | Collaborative Self-Attention Network for Session-based Recommendation. Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng |
| 2020 | Collective Decision Making under Incomplete Knowledge: Possible and Necessary Solutions. Jérôme Lang |
| 2020 | Coloring Graph Neural Networks for Node Disambiguation. George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux |
| 2020 | Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints. Huanle Xu, Yang Liu, Wing Cheong Lau, Rui Li |
| 2020 | Combining Direct Trust and Indirect Trust in Multi-Agent Systems. Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles |
| 2020 | Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract). Mohan Sridharan, Tiago Mota |
| 2020 | Communicative Representation Learning on Attributed Molecular Graphs. Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang |
| 2020 | Community-Centric Graph Convolutional Network for Unsupervised Community Detection. Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang |
| 2020 | Competition Among Contests: a Safety Level Analysis. Ron Lavi, Omer Shiran-Shvarzbard |
| 2020 | Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning. Céline Hocquette, Stephen H. Muggleton |
| 2020 | Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni |
| 2020 | Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation. Ziye Chen, Mingming Gong, Lingjuan Ge, Bo Du |
| 2020 | Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent Issues. Evangelos Markakis, Georgios Papasotiropoulos |
| 2020 | Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice. Brandon Fain, William Fan, Kamesh Munagala |
| 2020 | Concurrent Games in Dynamic Epistemic Logic. Bastien Maubert, Sophie Pinchinat, François Schwarzentruber, Silvia Stranieri |
| 2020 | Cone Semantics for Logics with Negation. Özgür Lütfü Özçep, Mena Leemhuis, Diedrich Wolter |
| 2020 | Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval. Yuting Su, Yuqian Li, Dan Song, Weizhi Nie, Wenhui Li, An-An Liu |
| 2020 | Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao |
| 2020 | Constrained Policy Improvement for Efficient Reinforcement Learning. Elad Sarafian, Aviv Tamar, Sarit Kraus |
| 2020 | Context Aware Sequence Modeling. Kyungwoo Song |
| 2020 | Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract). Zhenisbek Assylbekov, Rustem Takhanov |
| 2020 | Contextualized Point-of-Interest Recommendation. Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang |
| 2020 | Controllability of Control Argumentation Frameworks. Andreas Niskanen, Daniel Neugebauer, Matti Järvisalo |
| 2020 | Controlled Query Evaluation in Description Logics Through Instance Indistinguishability. Gianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo |
| 2020 | Convexity of b-matching Games. Soh Kumabe, Takanori Maehara |
| 2020 | Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection. Sehun Yu, Dongha Lee, Hwanjo Yu |
| 2020 | CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang |
| 2020 | Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning. Silvan Sievers, Florian Pommerening, Thomas Keller, Malte Helmert |
| 2020 | Counting Query Answers over a DL-Lite Knowledge Base. Diego Calvanese, Julien Corman, Davide Lanti, Simon Razniewski |
| 2020 | Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo |
| 2020 | Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng |
| 2020 | Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation. Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy, Dinesh Manocha |
| 2020 | Crowdsourcing with Multiple-Source Knowledge Transfer. Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi |
| 2020 | DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura |
| 2020 | DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu |
| 2020 | DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li |
| 2020 | Data-Driven Market-Making via Model-Free Learning. Yueyang Zhong, YeeMan Bergstrom, Amy R. Ward |
| 2020 | Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings. Yi Yang, Hongan Wang, Jiaqi Zhu, Yunkun Wu, Kailong Jiang, Wenli Guo, Wandong Shi |
| 2020 | Ddo, a Generic and Efficient Framework for MDD-Based Optimization. Xavier Gillard, Pierre Schaus, Vianney Coppé |
| 2020 | Decentralized MCTS via Learned Teammate Models. Aleksander Czechowski, Frans A. Oliehoek |
| 2020 | Decidability Results in First-Order Epistemic Planning. Andrés Occhipinti Liberman, Rasmus Kræmmer Rendsvig |
| 2020 | Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation. Celia Cintas, Ramya Raghavendra, Victor Akinwande, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam |
| 2020 | Decorrelated Clustering with Data Selection Bias. Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang |
| 2020 | Deductive Module Extraction for Expressive Description Logics. Patrick Koopmann, Jieying Chen |
| 2020 | Deep Feedback Network for Recommendation. Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin |
| 2020 | Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes |
| 2020 | Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention. Feng Li, Runming Cong, Huihui Bai, Yifan He |
| 2020 | Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery. Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu |
| 2020 | Deep Learning for Abstract Argumentation Semantics. Dennis Craandijk, Floris Bex |
| 2020 | Deep Learning for Community Detection: Progress, Challenges and Opportunities. Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu |
| 2020 | Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes. Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan |
| 2020 | Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking. Honglei Guo, Bang An, Zhili Guo, Zhong Su |
| 2020 | Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract). Kuniyuki Takahashi, Jethro Tan |
| 2020 | DeepVentilation: Learning to Predict Physical Effort from Breathing. Sagar Sen, Pierre Bernabé, Erik Johannes B. L. G. Husom |
| 2020 | DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. Alexander Schulz, Fabian Hinder, Barbara Hammer |
| 2020 | DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling. Penghao Sun, Zehua Guo, Junchao Wang, Junfei Li, Julong Lan, Yuxiang Hu |
| 2020 | Delete- and Ordering-Relaxation Heuristics for HTN Planning. Daniel Höller, Pascal Bercher, Gregor Behnke |
| 2020 | Design Adaptive AI for RTS Game by Learning Player's Build Order. Guillaume Lorthioir, Katsumi Inoue |
| 2020 | Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error. Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland |
| 2020 | Determining Inference Semantics for Disjunctive Logic Programs (Extended Abstract). Yi-Dong Shen, Thomas Eiter |
| 2020 | Developing an Integrated Model of Speech Entrainment. Rivka Levitan |
| 2020 | Diagnosing Software Faults Using Multiverse Analysis. Prantik Chatterjee, Abhijit Chatterjee, José Campos, Rui Abreu, Subhajit Roy |
| 2020 | Diagnosing the Environment Bias in Vision-and-Language Navigation. Yubo Zhang, Hao Tan, Mohit Bansal |
| 2020 | Dialogue State Induction Using Neural Latent Variable Models. Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang |
| 2020 | Differential Privacy for Stackelberg Games. Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck |
| 2020 | Diffusion Variational Autoencoders. Luis A. Pérez Rey, Vlado Menkovski, Jim Portegies |
| 2020 | Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium. Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An |
| 2020 | Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung |
| 2020 | Discovering Latent Class Labels for Multi-Label Learning. Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi |
| 2020 | Discovering Subsequence Patterns for Next POI Recommendation. Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing |
| 2020 | Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu |
| 2020 | Discrete Embedding for Latent Networks. Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang |
| 2020 | Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li |
| 2020 | Disentangled Feature Learning Network for Vehicle Re-Identification. Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Ling-Yu Duan |
| 2020 | Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. Junwen Bai, Shufeng Kong, Carla P. Gomes |
| 2020 | Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models. Frank Nussbaum, Joachim Giesen |
| 2020 | Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability Theory. Julien Baste, Michael R. Fellows, Lars Jaffke, Tomás Masarík, Mateus de Oliveira Oliveira, Geevarghese Philip, Frances A. Rosamond |
| 2020 | Domain Adaptation for Semantic Parsing. Zechang Li, Yuxuan Lai, Yansong Feng, Dongyan Zhao |
| 2020 | Domain Adaptive Classification on Heterogeneous Information Networks. Shuwen Yang, Guojie Song, Yilun Jin, Lun Du |
| 2020 | Dress like an Internet Celebrity: Fashion Retrieval in Videos. Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu |
| 2020 | DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu |
| 2020 | Dual Policy Distillation. Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu |
| 2020 | DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum |
| 2020 | Dynamic Language Binding in Relational Visual Reasoning. Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2020 | E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation. Meng Lan, Yipeng Zhang, Qinning Xu, Lefei Zhang |
| 2020 | ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation. Dongling Xiao, Han Zhang, Yu-Kun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2020 | EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings. Agostina Calabrese, Michele Bevilacqua, Roberto Navigli |
| 2020 | Early and Efficient Identification of Useless Constraint Propagation for Alldifferent Constraints. Xizhe Zhang, Jian Gao, Yizhi Lv, Weixiong Zhang |
| 2020 | Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang |
| 2020 | Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs. Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm |
| 2020 | Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King |
| 2020 | Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating. Hongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu |
| 2020 | Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng |
| 2020 | Efficient and Modularized Training on FPGA for Real-time Applications. Shreyas Kolala Venkataramanaiah, Xiaocong Du, Zheng Li, Shihui Yin, Yu Cao, Jae-sun Seo |
| 2020 | Efficient and Robust High-Dimensional Linear Contextual Bandits. Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian |
| 2020 | Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation. Pramith Devulapalli, Bistra Dilkina, Yexiang Xue |
| 2020 | Embodied Multimodal Multitask Learning. Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra |
| 2020 | EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness. Shifeng Li, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang, Weichao Wang |
| 2020 | Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu |
| 2020 | End-to-End Signal Factorization for Speech: Identity, Content, and Style. Jennifer Williams |
| 2020 | End-to-End Transition-Based Online Dialogue Disentanglement. Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu |
| 2020 | EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services. Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy |
| 2020 | Enhancing Dialog Coherence with Event Graph Grounded Content Planning. Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che |
| 2020 | Enhancing Urban Flow Maps via Neural ODEs. Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang |
| 2020 | Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna |
| 2020 | Entity Synonym Discovery via Multipiece Bilateral Context Matching. Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu |
| 2020 | Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism. Aditya Hegde, Vibhav Agarwal, Shrisha Rao |
| 2020 | Euclidean Pathfinding with Compressed Path Databases. Bojie Shen, Muhammad Aamir Cheema, Daniel Harabor, Peter J. Stuckey |
| 2020 | Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise. Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, George A. Krimpas |
| 2020 | Evaluating Committees for Representative Democracies: the Distortion and Beyond. Michal Jaworski, Piotr Skowron |
| 2020 | Evaluating Natural Language Generation via Unbalanced Optimal Transport. Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng |
| 2020 | Evaluating and Aggregating Feature-based Model Explanations. Umang Bhatt, Adrian Weller, José M. F. Moura |
| 2020 | Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification. Lianwei Wu, Yuan Rao, Xiong Yang, Wanzhen Wang, Ambreen Nazir |
| 2020 | Exemplar Guided Neural Dialogue Generation. Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin |
| 2020 | Explainable Inference on Sequential Data via Memory-Tracking. Biagio La Rosa, Roberto Capobianco, Daniele Nardi |
| 2020 | Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu |
| 2020 | Explanation Perspectives from the Cognitive Sciences - A Survey. Ramya Srinivasan, Ajay Chander |
| 2020 | Exploiting Mutual Information for Substructure-aware Graph Representation Learning. Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua |
| 2020 | Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu |
| 2020 | Exploiting Visual Semantic Reasoning for Video-Text Retrieval. Zerun Feng, Zhimin Zeng, Caili Guo, Zheng Li |
| 2020 | Exploration Based Language Learning for Text-Based Games. Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gökhan Tür |
| 2020 | Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation. Mingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Chen Sheng, Changjian Hu, Jinan Xu, Yufeng Chen |
| 2020 | Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning. Hui Xu, Chong Zhang, Jiaxing Wang, Deqiang Ouyang, Yu Zheng, Jie Shao |
| 2020 | Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality Constraints. Zhendong Lei, Shaowei Cai, Chuan Luo |
| 2020 | F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification. Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou |
| 2020 | FNNC: Achieving Fairness through Neural Networks. Padala Manisha, Sujit Gujar |
| 2020 | Fair Division of Time: Multi-layered Cake Cutting. Hadi Hosseini, Ayumi Igarashi, Andrew Searns |
| 2020 | Fair Division: The Computer Scientist's Perspective. Toby Walsh |
| 2020 | Fairness-Aware Neural Rényi Minimization for Continuous Features. Vincent Grari, Sylvain Lamprier, Marcin Detyniecki |
| 2020 | FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces. Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu |
| 2020 | Fast and Accurate Neural CRF Constituency Parsing. Yu Zhang, Houquan Zhou, Zhenghua Li |
| 2020 | Fast and Parallel Decomposition of Constraint Satisfaction Problems. Georg Gottlob, Cem Okulmus, Reinhard Pichler |
| 2020 | Feature Augmented Memory with Global Attention Network for VideoQA. Jiayin Cai, Chun Yuan, Cheng Shi, Lei Li, Yangyang Cheng, Ying Shan |
| 2020 | Feature Statistics Guided Efficient Filter Pruning. Hang Li, Chen Ma, Wei Xu, Xue Liu |
| 2020 | Federated Meta-Learning for Fraudulent Credit Card Detection. Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang |
| 2020 | Few-shot Human Motion Prediction via Learning Novel Motion Dynamics. Chuanqi Zang, Mingtao Pei, Yu Kong |
| 2020 | Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration. Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu |
| 2020 | Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach. Hau Chan, Long Tran-Thanh, Vignesh Viswanathan |
| 2020 | FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining. Zhuang Liu, Degen Huang, Kaiyu Huang, Zhuang Li, Jun Zhao |
| 2020 | Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining. Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi |
| 2020 | Financial Risk Prediction with Multi-Round Q&A Attention Network. Zhen Ye, Yu Qin, Wei Xu |
| 2020 | Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection. Chi Seng Pun, Lei Wang, Hoi Ying Wong |
| 2020 | Fine-Grained View on Bribery for Group Identification. Niclas Boehmer, Robert Bredereck, Dusan Knop, Junjie Luo |
| 2020 | Flow-Based Network Creation Games. Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko |
| 2020 | Flow-based Intrinsic Curiosity Module. Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee |
| 2020 | FlowSynth: Simplifying Complex Audio Generation Through Explorable Latent Spaces with Normalizing Flows. Philippe Esling, Naotake Masuda, Axel Chemla-Romeu-Santos |
| 2020 | Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task. Kehinde Owoeye |
| 2020 | Forgetting Auxiliary Atoms in Forks (Extended Abstract). Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, David Pearce, Gilberto Pérez, Concepción Vidal |
| 2020 | Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base. Yongrui Chen, Huiying Li, Yuncheng Hua, Guilin Qi |
| 2020 | Formalizing Group and Propagated Trust in Multi-Agent Systems. Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub |
| 2020 | Formulas Free From Inconsistency: An Atom-Centric Characterization in Priest's Minimally Inconsistent LP (Extended Abstract). Kedian Mu |
| 2020 | From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information. Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan |
| 2020 | From Statistical Relational to Neuro-Symbolic Artificial Intelligence. Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra |
| 2020 | From Support Propagation to Belief Propagation in Constraint Programming (Extended Abstract). Gilles Pesant |
| 2020 | Front-to-Front Heuristic Search for Satisficing Classical Planning. Ryo Kuroiwa, Alex Fukunaga |
| 2020 | Fully Nested Neural Network for Adaptive Compression and Quantization. Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue |
| 2020 | G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation. Yingruo Fan, Zhaojiang Lin |
| 2020 | GSM: Graph Similarity Model for Multi-Object Tracking. Qiankun Liu, Qi Chu, Bin Liu, Nenghai Yu |
| 2020 | Gated POS-Level Language Model for Authorship Verification. Linshu Ouyang, Yongzheng Zhang, Hui Liu, Yige Chen, Yipeng Wang |
| 2020 | Gaussian Embedding of Linked Documents from a Pretrained Semantic Space. Antoine Gourru, Julien Velcin, Julien Jacques |
| 2020 | GenC: A Fast Tool for Applications Involving Belief Revision. Aaron Hunter, John Agapeyev |
| 2020 | General Purpose MRF Learning with Neural Network Potentials. Hao Xiong, Nicholas Ruozzi |
| 2020 | Generalized Mean Estimation in Monte-Carlo Tree Search. Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen |
| 2020 | Generalized Representation Learning Methods for Deep Reinforcement Learning. Hanhua Zhu |
| 2020 | Generalized Zero-Shot Text Classification for ICD Coding. Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing |
| 2020 | Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu |
| 2020 | Generating Interpretable Poverty Maps using Object Detection in Satellite Images. Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2020 | Generating Natural Counterfactual Visual Explanations. Wenqi Zhao, Satoshi Oyama, Masahito Kurihara |
| 2020 | Generating Person Images with Appearance-aware Pose Stylizer. Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou |
| 2020 | Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering. Weijing Huang, Xianfeng Liao, Zhiqiang Xie, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao |
| 2020 | Generating Robust Audio Adversarial Examples with Temporal Dependency. Hongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu |
| 2020 | GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based Detector. Rui Zheng, Fei Jiang, Ruimin Shen |
| 2020 | Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment. Hao Nie, Xianpei Han, Le Sun, Chi Man Wong, Qiang Chen, Suhui Wu, Wei Zhang |
| 2020 | GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin |
| 2020 | Goal Recognition Design - Survey. Sarah Keren, Avigdor Gal, Erez Karpas |
| 2020 | Gradient Perturbation is Underrated for Differentially Private Convex Optimization. Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu |
| 2020 | Graph Neural Architecture Search. Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu |
| 2020 | Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi |
| 2020 | GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. Yu Chen, Lingfei Wu, Mohammed J. Zaki |
| 2020 | GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification. Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao |
| 2020 | Greedy Convex Ensemble. Thanh Tan Nguyen, Nan Ye, Peter L. Bartlett |
| 2020 | Guided Generation of Cause and Effect. Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme |
| 2020 | HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features. Zhihui Lin, Chun Yuan, Maomao Li |
| 2020 | HID: Hierarchical Multiscale Representation Learning for Information Diffusion. Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia |
| 2020 | Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks. Maxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau |
| 2020 | Harnessing Code Switching to Transcend the Linguistic Barrier. Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell |
| 2020 | Heterogeneous Network Representation Learning. Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang |
| 2020 | Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description. Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang |
| 2020 | Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval. Heyu Zhou, Weizhi Nie, Wenhui Li, Dan Song, An-An Liu |
| 2020 | Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces. Rana Alshaikh, Zied Bouraoui, Steven Schockaert |
| 2020 | Hierarchical Matching Network for Heterogeneous Entity Resolution. Cheng Fu, Xianpei Han, Jiaming He, Le Sun |
| 2020 | Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction. Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Jian Guo |
| 2020 | Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays. Wei Song, Ziyao Song, Lizhen Liu, Ruiji Fu |
| 2020 | Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract). Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi |
| 2020 | How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines. Johannes Huegle, Christopher Hagedorn, Matthias Uflacker |
| 2020 | How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context. Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang |
| 2020 | Human Consensus-Oriented Image Captioning. Ziwei Wang, Zi Huang, Yadan Luo |
| 2020 | Human Gaze Assisted Artificial Intelligence: A Review. Ruohan Zhang, Akanksha Saran, Bo Liu, Yifeng Zhu, Sihang Guo, Scott Niekum, Dana H. Ballard, Mary M. Hayhoe |
| 2020 | Human Values and Digital Patterns in Physical Exercise (Extended Abstract). Yelena Mejova, Kyriaki Kalimeri |
| 2020 | Human-Driven FOL Explanations of Deep Learning. Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci |
| 2020 | Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations. Peixi Peng, Junliang Xing, Lili Cao |
| 2020 | Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding. Chengkun Zhang, Junbin Gao |
| 2020 | HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network. Rui Liu, Huilin Peng, Yong Chen, Dell Zhang |
| 2020 | Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space. Xiao Zhang, Shizhong Liao |
| 2020 | I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang |
| 2020 | IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu |
| 2020 | IKBT: Solving Symbolic Inverse Kinematics with Behavior Tree (Extended Abstract). Dianmu Zhang, Blake Hannaford |
| 2020 | IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL. Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam |
| 2020 | Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic. Lasse Dissing, Thomas Bolander |
| 2020 | Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation. Shuo Zhang, Lei Xie |
| 2020 | Improving Knowledge Tracing via Pre-training Question Embeddings. Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu |
| 2020 | Improving Tandem Mass Spectra Analysis with Hierarchical Learning. Zhengcong Fei |
| 2020 | Incentive-Compatible Diffusion Auctions. Bin Li, Dong Hao, Dengji Zhao |
| 2020 | Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract). Xi Alice Gao, James R. Wright, Kevin Leyton-Brown |
| 2020 | Inconsistency Measurement for Improving Logical Formula Clustering. Yakoub Salhi |
| 2020 | Incorporating Extra Knowledge to Enhance Word Embedding. Arpita Roy, Shimei Pan |
| 2020 | Incorporating Failure Events in Agents' Decision Making to Improve User Satisfaction. David Sarne, Chen Rozenshtein |
| 2020 | Incorporating Failure Events in Agents' Decision Making to Improve User Satisfaction. David Sarne, Chen Rozenshtein |
| 2020 | Independent Skill Transfer for Deep Reinforcement Learning. Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang |
| 2020 | Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness. Samuel Yeom, Matt Fredrikson |
| 2020 | Inductive Anomaly Detection on Attributed Networks. Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu |
| 2020 | Inductive Link Prediction for Nodes Having Only Attribute Information. Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang |
| 2020 | Inference-Masked Loss for Deep Structured Output Learning. Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi |
| 2020 | Inferring Degrees from Incomplete Networks and Nonlinear Dynamics. Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail |
| 2020 | Infobox-to-text Generation with Tree-like Planning based Attention Network. Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng |
| 2020 | Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain. Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings |
| 2020 | Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health. William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam |
| 2020 | Intelligent Virtual Machine Provisioning in Cloud Computing. Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin |
| 2020 | Intent Preference Decoupling for User Representation on Online Recommender System. Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen |
| 2020 | Intention Progression under Uncertainty. Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah |
| 2020 | Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao |
| 2020 | Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin |
| 2020 | Interpretable Models for Understanding Immersive Simulations. Nicholas Hoernle, Kobi Gal, Barbara J. Grosz, Leilah Lyons, Ada Ren, Andee Rubin |
| 2020 | Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems. Shuoyao Wang, Diwei Zhu |
| 2020 | Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players. Yudong Luo, Oliver Schulte, Pascal Poupart |
| 2020 | Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? Lifu Wang, Bo Shen, Ning Zhao, Zhiyuan Zhang |
| 2020 | Iterative-Deepening Conflict-Based Search. Eli Boyarski, Ariel Felner, Daniel Harabor, Peter J. Stuckey, Liron Cohen, Jiaoyang Li, Sven Koenig |
| 2020 | I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich |
| 2020 | JANE: Jointly Adversarial Network Embedding. Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo |
| 2020 | JPEG Artifacts Removal via Compression Quality Ranker-Guided Networks. Menglu Wang, Xueyang Fu, Zepei Sun, Zheng-Jun Zha |
| 2020 | Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification. Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han |
| 2020 | Joint Partial Optimal Transport for Open Set Domain Adaptation. Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang, Shuoying Liang, Heting Ying, Jianwei Yin |
| 2020 | Joint Representation Learning of Legislator and Legislation for Roll Call Prediction. Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei |
| 2020 | Joint Time-Frequency and Time Domain Learning for Speech Enhancement. Chuanxin Tang, Chong Luo, Zhiyuan Zhao, Wenxuan Xie, Wenjun Zeng |
| 2020 | KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction. Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng |
| 2020 | Keep It Real: a Window to Real Reality in Virtual Reality. Baihan Lin |
| 2020 | Keeping Your Friends Close: Land Allocation with Friends. Edith Elkind, Neel Patel, Alan Tsang, Yair Zick |
| 2020 | Knowing-How under Uncertainty (Extended Abstract). Pavel Naumov, Jia Tao |
| 2020 | Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations. Jian Liu, Yubo Chen, Jun Zhao |
| 2020 | Knowledge Graphs Enhanced Neural Machine Translation. Yang Zhao, Jiajun Zhang, Yu Zhou, Chengqing Zong |
| 2020 | Knowledge Hypergraphs: Prediction Beyond Binary Relations. Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole |
| 2020 | Knowledge-Based Regularization in Generative Modeling. Naoya Takeishi, Yoshinobu Kawahara |
| 2020 | KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng |
| 2020 | LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition. Xiang Cheng, Yunzhe Hao, Jiaming Xu, Bo Xu |
| 2020 | LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks. Rongzhou Huang, Chuyin Huang, Yubao Liu, Genan Dai, Weiyang Kong |
| 2020 | Label Distribution for Learning with Noisy Labels. Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng |
| 2020 | Label Enhancement for Label Distribution Learning via Prior Knowledge. Yongbiao Gao, Yu Zhang, Xin Geng |
| 2020 | Label-Attended Hashing for Multi-Label Image Retrieval. Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou |
| 2020 | Lagrangian Decomposition for Classical Planning (Extended Abstract). Florian Pommerening, Gabriele Röger, Malte Helmert, Hadrien Cambazard, Louis-Martin Rousseau, Domenico Salvagnin |
| 2020 | Language Independent Sequence Labelling for Opinion Target Extraction (Extended Abstract). Rodrigo Agerri, German Rigau |
| 2020 | Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data. Haytham M. Fayek, Anurag Kumar |
| 2020 | Latent Regularized Generative Dual Adversarial Network For Abnormal Detection. Chengwei Chen, Jing Liu, Yuan Xie, Yin Xiao Ban, Chunyun Wu, Yiqing Tao, Haichuan Song |
| 2020 | Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis. Niels Grüttemeier, Christian Komusiewicz |
| 2020 | Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network. Huiyuan Chen, Jing Li |
| 2020 | Learning From Multi-Dimensional Partial Labels. Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen |
| 2020 | Learning Interpretable Models in the Property Specification Language. Rajarshi Roy, Dana Fisman, Daniel Neider |
| 2020 | Learning Interpretable Representations with Informative Entanglements. Ege Beyazit, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu |
| 2020 | Learning Large Logic Programs By Going Beyond Entailment. Andrew Cropper, Sebastijan Dumancic |
| 2020 | Learning Latent Forests for Medical Relation Extraction. Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen |
| 2020 | Learning Model with Error - Exposing the Hidden Model of BAYHENN. Harry W. H. Wong, Jack P. K. Ma, Donald P. H. Wong, Lucien K. L. Ng, Sherman S. M. Chow |
| 2020 | Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS). Masataro Asai, Christian Muise |
| 2020 | Learning Optimal Decision Trees using Constraint Programming (Extended Abstract). Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus |
| 2020 | Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost. Hao Hu, Mohamed Siala, Emmanuel Hebrard, Marie-José Huguet |
| 2020 | Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings |
| 2020 | Learning Personalized Itemset Mapping for Cross-Domain Recommendation. Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang |
| 2020 | Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data. Zhijie Fang, Weiqun Wang, Shixin Ren, Jiaxing Wang, Weiguo Shi, Xu Liang, Chen-Chen Fan, Zeng-Guang Hou |
| 2020 | Learning Sensitivity of RCPSP by Analyzing the Search Process. Marc-André Ménard, Claude-Guy Quimper, Jonathan Gaudreault |
| 2020 | Learning Sparse Neural Networks for Better Generalization. Shiwei Liu |
| 2020 | Learning Task-aware Local Representations for Few-shot Learning. Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao |
| 2020 | Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract). Hai Huang, Fabien Gandon |
| 2020 | Learning With Subquadratic Regularization : A Primal-Dual Approach. Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya |
| 2020 | Learning and Solving Regular Decision Processes. Eden Abadi, Ronen I. Brafman |
| 2020 | Learning for Graph Matching and Related Combinatorial Optimization Problems. Junchi Yan, Shuang Yang, Edwin R. Hancock |
| 2020 | Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data. Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban |
| 2020 | Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li |
| 2020 | Learning in the Wild with Incremental Skeptical Gaussian Processes. Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini |
| 2020 | Learning the Compositional Visual Coherence for Complementary Recommendations. Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei |
| 2020 | Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai |
| 2020 | Learning to Complement Humans. Bryan Wilder, Eric Horvitz, Ece Kamar |
| 2020 | Learning to Discretely Compose Reasoning Module Networks for Video Captioning. Ganchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha |
| 2020 | Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data. Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda |
| 2020 | Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling. Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang |
| 2020 | Leveraging Document-Level Label Consistency for Named Entity Recognition. Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang |
| 2020 | Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation. Guanhua Chen, Yun Chen, Yong Wang, Victor O. K. Li |
| 2020 | Lifelong Zero-Shot Learning. Kun Wei, Cheng Deng, Xu Yang |
| 2020 | Lifted Hybrid Variational Inference. Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi |
| 2020 | Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! Dingqi Yang, Benjamin Fankhauser, Paolo Rosso, Philippe Cudré-Mauroux |
| 2020 | LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning. Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang |
| 2020 | Logic Constrained Pointer Networks for Interpretable Textual Similarity. Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal |
| 2020 | Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory. Wiebe van der Hoek, Louwe B. Kuijer, Yì N. Wáng |
| 2020 | Lossless Semantic Round-Tripping in PENG ASP. Rolf Schwitter |
| 2020 | Lower Bounds and Faster Algorithms for Equality Constraints. Peter Jonsson, Victor Lagerkvist |
| 2020 | Lower Bounds for Approximate Knowledge Compilation. Alexis de Colnet, Stefan Mengel |
| 2020 | MAPS: Multi-Agent reinforcement learning-based Portfolio management System. Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang |
| 2020 | MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing. Rong-Cheng Tu, Xianling Mao, Wei Wei |
| 2020 | MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product. Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng |
| 2020 | MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya |
| 2020 | MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification. Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua |
| 2020 | Market Manipulation: An Adversarial Learning Framework for Detection and Evasion. Xintong Wang, Michael P. Wellman |
| 2020 | Marthe: Scheduling the Learning Rate Via Online Hypergradients. Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi |
| 2020 | Maximizing Welfare with Incentive-Aware Evaluation Mechanisms. Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang |
| 2020 | Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks. Robert Bredereck, Lilian Jacobs, Leon Kellerhals |
| 2020 | Maximum Nash Welfare and Other Stories About EFX. Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris |
| 2020 | Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe |
| 2020 | Mechanism Design for School Choice with Soft Diversity Constraints. Haris Aziz, Serge Gaspers, Zhaohong Sun |
| 2020 | Mechanism Design with Uncertainty. Taiki Todo |
| 2020 | Memory Augmented Neural Model for Incremental Session-based Recommendation. Fei Mi, Boi Faltings |
| 2020 | MergeNAS: Merge Operations into One for Differentiable Architecture Search. Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun |
| 2020 | Meta Segmentation Network for Ultra-Resolution Medical Images. Tong Wu, Bicheng Dai, Shuxin Chen, Yanyun Qu, Yuan Xie |
| 2020 | Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models. Pingchuan Ma, Shuai Wang, Jin Liu |
| 2020 | Methodological Issues in Recommender Systems Research (Extended Abstract). Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach |
| 2020 | Metric Learning in Optimal Transport for Domain Adaptation. Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban |
| 2020 | Mixed-Variable Bayesian Optimization. Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause |
| 2020 | Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event Systems. Stéphanie Roussel, Xavier Pucel, Valentin Bouziat, Louise Travé-Massuyès |
| 2020 | Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach. Yujian Ye, Dawei Qiu, Jonathan Ward, Marcin Abram |
| 2020 | Model-theoretic Characterizations of Existential Rule Languages. Heng Zhang, Yan Zhang, Guifei Jiang |
| 2020 | Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction. Shan Zhao, Minghao Hu, Zhiping Cai, Fang Liu |
| 2020 | Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles. Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels |
| 2020 | Modeling Topical Relevance for Multi-Turn Dialogue Generation. Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin |
| 2020 | Modeling Voting for System Combination in Machine Translation. Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu |
| 2020 | Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction. Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su |
| 2020 | Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning. Ying Wen, Yaodong Yang, Jun Wang |
| 2020 | Monte-Carlo Tree Search for Scalable Coalition Formation. Feng Wu, Sarvapali D. Ramchurn |
| 2020 | Motif-Preserving Temporal Network Embedding. Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin |
| 2020 | MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation. Edoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli |
| 2020 | Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering. Zihao Zhu, Jing Yu, Yujing Wang, Yajing Sun, Yue Hu, Qi Wu |
| 2020 | Multi-Channel Graph Neural Networks. Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu |
| 2020 | Multi-Class Imbalanced Graph Convolutional Network Learning. Min Shi, Yufei Tang, Xingquan Zhu, David A. Wilson, Jianxun Liu |
| 2020 | Multi-Directional Heuristic Search. Dor Atzmon, Jiaoyang Li, Ariel Felner, Eliran Nachmani, Shahaf S. Shperberg, Nathan R. Sturtevant, Sven Koenig |
| 2020 | Multi-Feedback Bandit Learning with Probabilistic Contexts. Luting Yang, Jianyi Yang, Shaolei Ren |
| 2020 | Multi-Robot Adversarial Patrolling Strategies via Lattice Paths. Jan Bürmann, Jie Zhang |
| 2020 | Multi-Scale Group Transformer for Long Sequence Modeling in Speech Separation. Yucheng Zhao, Chong Luo, Zheng-Jun Zha, Wenjun Zeng |
| 2020 | Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition. Haoze Wu, Jiawei Liu, Xierong Zhu, Meng Wang, Zheng-Jun Zha |
| 2020 | Multi-View Attribute Graph Convolution Networks for Clustering. Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao |
| 2020 | Multi-View Joint Graph Representation Learning for Urban Region Embedding. Mingyang Zhang, Tong Li, Yong Li, Pan Hui |
| 2020 | Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition. Yaohui Zhu, Chenlong Liu, Shuqiang Jiang |
| 2020 | Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu |
| 2020 | Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network. Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu |
| 2020 | Multi-label Feature Selection via Global Relevance and Redundancy Optimization. Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan |
| 2020 | Multi-scale Two-way Deep Neural Network for Stock Trend Prediction. Guang Liu, Yuzhao Mao, Qi Sun, Hailong Huang, Weiguo Gao, Xuan Li, Jianping Shen, Ruifan Li, Xiaojie Wang |
| 2020 | Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization. Xinjian Huang, Bo Du, Weiwei Liu |
| 2020 | Multivariate Probability Calibration with Isotonic Bernstein Polynomials. Yongqiao Wang, Xudong Liu |
| 2020 | Mutual Information Estimation using LSH Sampling. Ryan Spring, Anshumali Shrivastava |
| 2020 | NLocalSAT: Boosting Local Search with Solution Prediction. Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang |
| 2020 | NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti |
| 2020 | Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs. Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang |
| 2020 | Neighbor Combinatorial Attention for Critical Structure Mining. Tanli Zuo, Yukun Qiu, Weishi Zheng |
| 2020 | Network Schema Preserving Heterogeneous Information Network Embedding. Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye |
| 2020 | NeurASP: Embracing Neural Networks into Answer Set Programming. Zhun Yang, Adam Ishay, Joohyung Lee |
| 2020 | Neural Abstractive Summarization with Structural Attention. Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty |
| 2020 | Neural Belief Reasoner. Haifeng Qian |
| 2020 | Neural Entity Summarization with Joint Encoding and Weak Supervision. Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen |
| 2020 | Neural Machine Translation with Error Correction. Kaitao Song, Xu Tan, Jianfeng Lu |
| 2020 | Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals. Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag |
| 2020 | Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems. Huiyuan Chen, Jing Li |
| 2020 | Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning. Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu |
| 2020 | Non-monotone DR-submodular Maximization over General Convex Sets. Christoph Dürr, Kim Thang Nguyen, Abhinav Srivastav, Léo Tible |
| 2020 | NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set. Bohan Li, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang, Christian Blum |
| 2020 | Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding. Zhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Jing Yuan |
| 2020 | On Building an Interpretable Topic Modeling Approach for the Urdu Language. Zarmeen Nasim |
| 2020 | On Computational Aspects of Iterated Belief Change. Nicolas Schwind, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis |
| 2020 | On Deep Unsupervised Active Learning. Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang |
| 2020 | On Irrelevant Literals in Pseudo-Boolean Constraint Learning. Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon |
| 2020 | On Metric DBSCAN with Low Doubling Dimension. Hu Ding, Fan Yang, Mingyue Wang |
| 2020 | On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau |
| 2020 | On Robustness in Qualitative Constraint Networks. Michael Sioutis, Zhiguo Long, Tomi Janhunen |
| 2020 | On the Complexity of Winner Verification and Candidate Winner for Multiwinner Voting Rules. Chinmay Sonar, Palash Dey, Neeldhara Misra |
| 2020 | On the Decidability of Intuitionistic Tense Logic without Disjunction. Fei Liang, Zhe Lin |
| 2020 | On the Enumeration of Association Rules: A Decomposition-based Approach. Yacine Izza, Saïd Jabbour, Badran Raddaoui, Abdelhamid Boudane |
| 2020 | On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification. Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang |
| 2020 | On the Learnability of Possibilistic Theories. Cosimo Persia, Ana Ozaki |
| 2020 | On the Splitting Property for Epistemic Logic Programs (Extended Abstract). Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro |
| 2020 | One-Shot Neural Architecture Search via Novelty Driven Sampling. Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su |
| 2020 | Online Learning in Changing Environments. Lijun Zhang |
| 2020 | Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit. Mengying Zhu, Xiaolin Zheng, Yan Wang, Qianqiao Liang, Wenfang Zhang |
| 2020 | Online Positive and Unlabeled Learning. Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang |
| 2020 | Online Revenue Maximization for Server Pricing. Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta |
| 2020 | Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression. Peiyan Li, Honglian Wang, Christian Böhm, Junming Shao |
| 2020 | Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL. Yannis Flet-Berliac, Philippe Preux |
| 2020 | Ontology Reasoning with Deep Neural Networks (Extended Abstract). Patrick Hohenecker, Thomas Lukasiewicz |
| 2020 | Opinion Maximization in Social Trust Networks. Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu |
| 2020 | OptStream: Releasing Time Series Privately (Extended Abstract). Ferdinando Fioretto, Pascal Van Hentenryck |
| 2020 | Optimal Complex Task Assignment in Service Crowdsourcing. Feilong Tang |
| 2020 | Optimal Margin Distribution Machine for Multi-Instance Learning. Teng Zhang, Hai Jin |
| 2020 | Optimal Planning Modulo Theories. Francesco Leofante, Enrico Giunchiglia, Erika Ábrahám, Armando Tacchella |
| 2020 | Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems. Seyed-Iman Mirzadeh, Hassan Ghasemzadeh |
| 2020 | Optimal Region Search with Submodular Maximization. Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao |
| 2020 | Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth. Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang |
| 2020 | Optimality, Accuracy, and Efficiency of an Exact Functional Test. Hien Nguyen, Hua Zhong, Mingzhou Song |
| 2020 | Optimising Partial-Order Plans Via Action Reinstantiation. Max Waters, Lin Padgham, Sebastian Sardiña |
| 2020 | Optimization Learning: Perspective, Method, and Applications. Risheng Liu |
| 2020 | Order-Dependent Event Models for Agent Interactions. Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian |
| 2020 | Overcoming Language Priors with Self-supervised Learning for Visual Question Answering. Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang |
| 2020 | Overcoming the Grounding Bottleneck Due to Constraints in ASP Solving: Constraints Become Propagators. Bernardo Cuteri, Carmine Dodaro, Francesco Ricca, Peter Schüller |
| 2020 | Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations. Hongwei Xie, Yafei Song, Ling Cai, Mingyang Li |
| 2020 | P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection. Zhiwei Zhang, Shifeng Chen, Lei Sun |
| 2020 | Partial Adversarial Behavior Deception in Security Games. Thanh Hong Nguyen, Arunesh Sinha, He He |
| 2020 | Partial Multi-Label Learning via Multi-Subspace Representation. Ziwei Li, Gengyu Lyu, Songhe Feng |
| 2020 | Participatory Budgeting with Project Interactions. Pallavi Jain, Krzysztof Sornat, Nimrod Talmon |
| 2020 | Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions. Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci, Paolo Frasconi |
| 2020 | Pay Attention to Devils: A Photometric Stereo Network for Better Details. Yakun Ju, Kin-Man Lam, Yang Chen, Lin Qi, Junyu Dong |
| 2020 | Peer-Prediction in the Presence of Outcome Dependent Lying Incentives. Naman Goel, Aris Filos-Ratsikas, Boi Faltings |
| 2020 | PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection. Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov |
| 2020 | Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization. Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima |
| 2020 | PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction. Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du |
| 2020 | Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem. Weili Chen, Xiongfeng Guo, Zhiguang Chen, Zibin Zheng, Yutong Lu |
| 2020 | Pitfalls of Learning a Reward Function Online. Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg |
| 2020 | Pivot-based Maximal Biclique Enumeration. Aman Abidi, Rui Zhou, Lu Chen, Chengfei Liu |
| 2020 | Plan-Space Explanation via Plan-Property Dependencies: Faster Algorithms & More Powerful Properties. Rebecca Eifler, Marcel Steinmetz, Álvaro Torralba, Jörg Hoffmann |
| 2020 | Planning Algorithms for Zero-Sum Games with Exponential Action Spaces: A Unifying Perspective. Levi H. S. Lelis |
| 2020 | Playing Atari with Six Neurons (Extended Abstract). Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux |
| 2020 | Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract). Pavlos Vougiouklis, Eddy Maddalena, Jonathon S. Hare, Elena Simperl |
| 2020 | Polar Relative Positional Encoding for Video-Language Segmentation. Ke Ning, Lingxi Xie, Fei Wu, Qi Tian |
| 2020 | Population Location and Movement Estimation through Cross-domain Data Analysis. Xinghao Yang, Wei Liu |
| 2020 | Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position. Xu Ma, Song Fu |
| 2020 | Positive Unlabeled Learning with Class-prior Approximation. Shizhen Chang, Bo Du, Liangpei Zhang |
| 2020 | Potential Driven Reinforcement Learning for Hard Exploration Tasks. Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing |
| 2020 | Predicting Landslides Using Locally Aligned Convolutional Neural Networks. Ainaz Hajimoradlou, Gioachino Roberti, David Poole |
| 2020 | Predicting Strategic Behavior from Free Text (Extended Abstract). Omer Ben-Porat, Lital Kuchy, Sharon Hirsch, Guy Elad, Roi Reichart, Moshe Tennenholtz |
| 2020 | Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models. Julissa Villanueva Llerena |
| 2020 | Privileged label enhancement with multi-label learning. Wenfang Zhu, Xiuyi Jia, Weiwei Li |
| 2020 | ProbAnch: a Modular Probabilistic Anchoring Framework. Andreas Persson, Pedro Zuidberg Dos Martires, Luc De Raedt, Amy Loutfi |
| 2020 | Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 Christian Bessiere |
| 2020 | Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval. Xinxun Xu, Muli Yang, Yanhua Yang, Hao Wang |
| 2020 | Prophet Inequalities for Bayesian Persuasion. Niklas Hahn, Martin Hoefer, Rann Smorodinsky |
| 2020 | Proportionality in Approval-Based Elections With a Variable Number of Winners. Rupert Freeman, Anson Kahng, David M. Pennock |
| 2020 | Provenance for the Description Logic ELHr. Camille Bourgaux, Ana Ozaki, Rafael Peñaloza, Livia Predoiu |
| 2020 | Proving Semantic Properties as First-Order Satisfiability (Extended Abstract). Salvador Lucas |
| 2020 | Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh |
| 2020 | Pure-Past Linear Temporal and Dynamic Logic on Finite Traces. Giuseppe De Giacomo, Antonio Di Stasio, Francesco Fuggitti, Sasha Rubin |
| 2020 | Putting Accountability of AI Systems into Practice. Beatriz San Miguel, Aisha Naseer, Hiroya Inakoshi |
| 2020 | PyDL8.5: a Library for Learning Optimal Decision Trees. Gaël Aglin, Siegfried Nijssen, Pierre Schaus |
| 2020 | Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang |
| 2020 | Query Answering for Existential Rules via Efficient Datalog Rewriting. Zhe Wang, Peng Xiao, Kewen Wang, Zhiqiang Zhuang, Hai Wan |
| 2020 | RDF-to-Text Generation with Graph-augmented Structural Neural Encoders. Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu |
| 2020 | RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task. Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang |
| 2020 | RLCard: A Platform for Reinforcement Learning in Card Games. Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu |
| 2020 | RM-CVaR: Regularized Multiple β-CVaR Portfolio. Kei Nakagawa, Shuhei Noma, Masaya Abe |
| 2020 | Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation. Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2020 | Ranking Semantics for Argumentation Systems With Necessities. Dragan Doder, Srdjan Vesic, Madalina Croitoru |
| 2020 | Rational Closure For All Description Logics (Extended Abstract). Piero A. Bonatti |
| 2020 | Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control. Connor Riley, Pascal Van Hentenryck, Enpeng Yuan |
| 2020 | Real-World Automatic Makeup via Identity Preservation Makeup Net. Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, Jiyong Zhang |
| 2020 | Reasoning About Inconsistent Formulas. João Marques-Silva, Carlos Mencía |
| 2020 | Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari |
| 2020 | Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning. Man Luo, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Bowen Du, Hongkai Wen |
| 2020 | Recent Developments in Boolean Matrix Factorization. Pauli Miettinen, Stefan Neumann |
| 2020 | Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning. Ximing Li, Yang Wang |
| 2020 | Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling. Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson |
| 2020 | Recurrent Relational Memory Network for Unsupervised Image Captioning. Dan Guo, Yang Wang, Peipei Song, Meng Wang |
| 2020 | Reducing Underflow in Mixed Precision Training by Gradient Scaling. Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk |
| 2020 | Reference Guided Face Component Editing. Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li, Zhenan Sun |
| 2020 | Reinforcement Learning Framework for Deep Brain Stimulation Study. Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov |
| 2020 | Reinforcement Learning with Dynamic Boltzmann Softmax Updates. Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang |
| 2020 | Relation-Aware Transformer for Portfolio Policy Learning. Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan |
| 2020 | Relation-Based Counterfactual Explanations for Bayesian Network Classifiers. Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni |
| 2020 | Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning. Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu |
| 2020 | Revisiting the Notion of Extension over Incomplete Abstract Argumentation Frameworks. Bettina Fazzinga, Sergio Flesca, Filippo Furfaro |
| 2020 | Reward Prediction Error as an Exploration Objective in Deep RL. Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee |
| 2020 | Rewriting the Description Logic ALCHIQ to Disjunctive Existential Rules. David Carral, Markus Krötzsch |
| 2020 | Risk Guarantee Prediction in Networked-Loans. Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang |
| 2020 | Risk-Averse Trust Region Optimization for Reward-Volatility Reduction. Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori, Matteo Papini, Marcello Restelli |
| 2020 | Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation. Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Hyung Yong Kim, Nam Soo Kim |
| 2020 | Robust Market Making via Adversarial Reinforcement Learning. Thomas Spooner, Rahul Savani |
| 2020 | Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization. Marnix Suilen, Nils Jansen, Murat Cubuktepe, Ufuk Topcu |
| 2020 | Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions. Michael Saint-Guillain, Tiago Stegun Vaquero, Jagriti Agrawal, Steve A. Chien |
| 2020 | Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng |
| 2020 | Rumor Detection on Social Media with Graph Structured Adversarial Learning. Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang |
| 2020 | SBAT: Video Captioning with Sparse Boundary-Aware Transformer. Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang |
| 2020 | SEBF: A Single-Chain based Extension Model of Blockchain for Fintech. Yimu Ji, Weiheng Gu, Fei Chen, Xiaoying Xiao, Jing Sun, Shangdong Liu, Jing He, Yunyao Li, Kaixiang Zhang, Fen Mei, Fei Wu |
| 2020 | SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search. Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2020 | SVRG for Policy Evaluation with Fewer Gradient Evaluations. Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup |
| 2020 | Scalable Gaussian Process Regression Networks. Shibo Li, Wei W. Xing, Robert M. Kirby, Shandian Zhe |
| 2020 | Scaling Up AND/OR Abstraction Sampling. Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter |
| 2020 | SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor. Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma |
| 2020 | SelectScale: Mining More Patterns from Images via Selective and Soft Dropout. Zhengsu Chen, Jianwei Niu, Xuefeng Liu, Shaojie Tang |
| 2020 | Selecting Voting Locations for Fun and Profit. Zack Fitzsimmons, Omer Lev |
| 2020 | Self-Attentional Credit Assignment for Transfer in Reinforcement Learning. Johan Ferret, Raphaël Marinier, Matthieu Geist, Olivier Pietquin |
| 2020 | Self-Guided Evolution Strategies with Historical Estimated Gradients. Fei-Yu Liu, Zi-Niu Li, Chao Qian |
| 2020 | Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification. Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu |
| 2020 | Self-Supervised Tuning for Few-Shot Segmentation. Kai Zhu, Wei Zhai, Yang Cao |
| 2020 | Self-adaptive Re-weighted Adversarial Domain Adaptation. Shanshan Wang, Lei Zhang |
| 2020 | Self-paced Consensus Clustering with Bipartite Graph. Peng Zhou, Liang Du, Xuejun Li |
| 2020 | Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints. Mingkang Xiong, Zhenghong Zhang, Weilin Zhong, Jinsheng Ji, Jiyuan Liu, Huilin Xiong |
| 2020 | Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems. Hubie Chen, Georg Gottlob, Matthias Lanzinger, Reinhard Pichler |
| 2020 | Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation. Shengyuan Liu, Pei Lv, Yuzhen Zhang, Jie Fu, Junjin Cheng, Wanqing Li, Bing Zhou, Mingliang Xu |
| 2020 | Semi-Markov Reinforcement Learning for Stochastic Resource Collection. Sebastian Schmoll, Matthias Schubert |
| 2020 | Semi-supervised Clustering via Pairwise Constrained Optimal Graph. Feiping Nie, Han Zhang, Rong Wang, Xuelong Li |
| 2020 | Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon |
| 2020 | Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing. Weiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu |
| 2020 | SiamBOMB: A Real-time AI-based System for Home-cage Animal Tracking, Segmentation and Behavioral Analysis. Xi Chen, Hao Zhai, Danqian Liu, Weifu Li, Chaoyue Ding, Qiwei Xie, Hua Han |
| 2020 | SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy |
| 2020 | Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms. Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen |
| 2020 | Sinkhorn Regression. Lei Luo, Jian Pei, Heng Huang |
| 2020 | Smart Contract Vulnerability Detection using Graph Neural Network. Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He |
| 2020 | Smart Voting. Rachael Colley, Umberto Grandi, Arianna Novaro |
| 2020 | Social Network Analysis using RLVECN: Representation Learning via Knowledge-Graph Embeddings and Convolutional Neural-Network. Bonaventure C. Molokwu, Ziad Kobti |
| 2020 | Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence Solutions. Tahar Allouche, Bruno Escoffier, Stefano Moretti, Meltem Öztürk |
| 2020 | Soft Threshold Ternary Networks. Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng |
| 2020 | Solving Analogies on Words based on Minimal Complexity Transformation. Pierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols |
| 2020 | Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. Dieqiao Feng, Carla P. Gomes, Bart Selman |
| 2020 | Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces. Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg |
| 2020 | Spatio-Temporal Change Detection Using Granger Sequence Pattern. Nat Pavasant, Masayuki Numao, Ken-ichi Fukui |
| 2020 | Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised Extension. Han-Yi Lin, Pi-Cheng Hsiu, Tei-Wei Kuo, Yen-Yu Lin |
| 2020 | Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract). Xiang Lisa Li, Jason Eisner |
| 2020 | Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error. Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura |
| 2020 | Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities. Yanchen Deng, Bo An |
| 2020 | Speeding up Very Fast Decision Tree with Low Computational Cost. Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao |
| 2020 | Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution. Qiulin Zhang, Zhuqing Jiang, Qishuo Lu, Jia'nan Han, Zhengxin Zeng, Shang-hua Gao, Aidong Men |
| 2020 | Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective. Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo |
| 2020 | Stable Matchings with Diversity Constraints: Affirmative Action is beyond NP. Jiehua Chen, Robert Ganian, Thekla Hamm |
| 2020 | Stable Roommate Problem with Diversity Preferences. Niclas Boehmer, Edith Elkind |
| 2020 | State Variable Effects in Graphical Event Models. Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao |
| 2020 | Statistical Learning with a Nuisance Component (Extended Abstract). Dylan J. Foster, Vasilis Syrgkanis |
| 2020 | Steady-State Policy Synthesis in Multichain Markov Decision Processes. George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez |
| 2020 | Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer. Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang |
| 2020 | Story Embedding: Learning Distributed Representations of Stories based on Character Networks (Extended Abstract). O-Joun Lee, Jason J. Jung |
| 2020 | Strategic Campaign Management in Apportionment Elections. Robert Bredereck, Piotr Faliszewski, Michal Furdyna, Andrzej Kaczmarczyk, Martin Lackner |
| 2020 | Strategies for Cooperative UAVs Using Model Predictive Control. Amith Manoharan |
| 2020 | Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio. Minming Li, Pinyan Lu, Yuhao Yao, Jialin Zhang |
| 2020 | Structured Probabilistic End-to-End Learning from Crowds. Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang |
| 2020 | Subgraph Isomorphism Meets Cutting Planes: Solving With Certified Solutions. Stephan Gocht, Ciaran McCreesh, Jakob Nordström |
| 2020 | Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks. Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao |
| 2020 | Supporting Historical Photo Identification with Face Recognition and Crowdsourced Human Expertise (Extended Abstract). Vikram Mohanty, David Thames, Sneha Mehta, Kurt Luther |
| 2020 | Survey on Feature Transformation Techniques for Data Streams. Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes |
| 2020 | Swarm Intelligence for Self-Organized Clustering (Extended Abstract). Michael C. Thrun, Alfred Ultsch |
| 2020 | Switch-List Representations in a Knowledge Compilation Map. Ondrej Cepek, Milos Chromý |
| 2020 | Switching Poisson Gamma Dynamical Systems. Wenchao Chen, Bo Chen, Yicheng Liu, Qianru Zhao, Mingyuan Zhou |
| 2020 | Sybil-proof Answer Querying Mechanism. Yao Zhang, Xiuzhen Zhang, Dengji Zhao |
| 2020 | Synthesis of Deceptive Strategies in Reachability Games with Action Misperception. Abhishek Ninad Kulkarni, Jie Fu |
| 2020 | Synthesizing Aspect-Driven Recommendation Explanations from Reviews. Trung-Hoang Le, Hady W. Lauw |
| 2020 | Synthesizing strategies under expected and exceptional environment behaviors. Benjamin Aminof, Giuseppe De Giacomo, Alessio Lomuscio, Aniello Murano, Sasha Rubin |
| 2020 | TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking. Siyuan Li, Zhi Zhang, Ziyu Liu, Anna Wang, Linglong Qiu, Feng Du |
| 2020 | TRP: Trained Rank Pruning for Efficient Deep Neural Networks. Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong |
| 2020 | Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance. Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes |
| 2020 | Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation. Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu |
| 2020 | Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem. Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun |
| 2020 | Temporal Adaptive Alignment Network for Deep Video Inpainting. Ruixin Liu, Zhenyu Weng, Yuesheng Zhu, Bairong Li |
| 2020 | Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren |
| 2020 | Tensor-based multi-view label enhancement for multi-label learning. Fangwen Zhang, Xiuyi Jia, Weiwei Li |
| 2020 | Text Style Transfer via Learning Style Instance Supported Latent Space. Xiaoyuan Yi, Zhenghao Liu, Wenhao Li, Maosong Sun |
| 2020 | TextFuseNet: Scene Text Detection with Richer Fused Features. Jian Ye, Zhe Chen, Juhua Liu, Bo Du |
| 2020 | Textual Membership Queries. Jonathan Zarecki, Shaul Markovitch |
| 2020 | The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert. Cheng Wang |
| 2020 | The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty. Allegra De Filippo, Michele Lombardi, Michela Milano |
| 2020 | The Competitive Effects of Variance-based Pricing. Ludwig Dierks, Sven Seuken |
| 2020 | The Complexity Landscape of Resource-Constrained Scheduling. Robert Ganian, Thekla Hamm, Guillaume Mescoff |
| 2020 | The Complexity of Election Problems with Group-Separable Preferences. Piotr Faliszewski, Alexander Karpov, Svetlana Obraztsova |
| 2020 | The Computational Complexity of Angry Birds (Extended Abstract). Matthew Stephenson, Jochen Renz, Xiaoyu Ge |
| 2020 | The Emerging Landscape of Explainable Automated Planning & Decision Making. Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati |
| 2020 | The Graph-based Mutual Attentive Network for Automatic Diagnosis. Quan Yuan, Jun Chen, Chao Lu, Haifeng Huang |
| 2020 | The Importance of the Test Set Size in Quantification Assessment. André Gustavo Maletzke, Waqar Hassan, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista |
| 2020 | The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation. Tommaso Pasini |
| 2020 | The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering. Sayak Dey, Swagatam Das, Rammohan Mallipeddi |
| 2020 | Threshold Treewidth and Hypertree Width. Robert Ganian, André Schidler, Manuel Sorge, Stefan Szeider |
| 2020 | Tight Approximation for Proportional Approval Voting. Szymon Dudycz, Pasin Manurangsi, Jan Marcinkowski, Krzysztof Sornat |
| 2020 | Tight Convergence Rate of Gradient Descent for Eigenvalue Computation. Qinghua Ding, Kaiwen Zhou, James Cheng |
| 2020 | TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact. Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu |
| 2020 | TouIST: a Friendly Language for Propositional Logic and More. Jorge Fernandez, Olivier Gasquet, Andreas Herzig, Dominique Longin, Emiliano Lorini, Frédéric Maris, Pierre Régnier |
| 2020 | Toward a neuro-inspired creative decoder. Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah |
| 2020 | Towards Accurate and Robust Domain Adaptation under Noisy Environments. Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin |
| 2020 | Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips. Ke Li, Lisi Chen, Shuo Shang |
| 2020 | Towards Explainable Conversational Recommendation. Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen |
| 2020 | Towards Fully 8-bit Integer Inference for the Transformer Model. Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu |
| 2020 | Towards High-Level Intrinsic Exploration in Reinforcement Learning. Nicolas Bougie, Ryutaro Ichise |
| 2020 | Towards Making the Most of Context in Neural Machine Translation. Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch |
| 2020 | Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren |
| 2020 | Towards Trustable Explainable AI. Alexey Ignatiev |
| 2020 | Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection. Zhen Wang, Chao Lan |
| 2020 | Towards an Artificial Argumentation System. Ramon Ruiz-Dolz |
| 2020 | Tractable Fragments of Datalog with Metric Temporal Operators. Przemyslaw Andrzej Walega, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev |
| 2020 | Trade the System Efficiency for the Income Equality of Drivers in Rideshare. Yifan Xu, Pan Xu |
| 2020 | Trading Plan Cost for Timeliness in Situated Temporal Planning. Shahaf S. Shperberg, Andrew Coles, Erez Karpas, Solomon Eyal Shimony, Wheeler Ruml |
| 2020 | Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching. Hanyuan Zhang, Xinyu Zhang, Qize Jiang, Baihua Zheng, Zhenbang Sun, Weiwei Sun, Changhu Wang |
| 2020 | TransOMCS: From Linguistic Graphs to Commonsense Knowledge. Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth |
| 2020 | TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure. Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li |
| 2020 | Transductive Relation-Propagation Network for Few-shot Learning. Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu |
| 2020 | Transformers as Soft Reasoners over Language. Peter Clark, Oyvind Tafjord, Kyle Richardson |
| 2020 | Transparent Intent for Explainable Shared Control in Assistive Robotics. Mark Zolotas, Yiannis Demiris |
| 2020 | Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu |
| 2020 | Triple-to-Text Generation with an Anchor-to-Prototype Framework. Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen |
| 2020 | Turning 30: New Ideas in Inductive Logic Programming. Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton |
| 2020 | Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA. Jiale Han, Bo Cheng, Xu Wang |
| 2020 | Two-goal Local Search and Inference Rules for Minimum Dominating Set. Shaowei Cai, Wenying Hou, Yiyuan Wang, Chuan Luo, Qingwei Lin |
| 2020 | Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection. Zihao Wang, Jia Liu, Hengbin Cui, Chunxiang Jin, Minghui Yang, Yafang Wang, Xiaolong Li, Renxin Mao |
| 2020 | Understanding the Power and Limitations of Teaching with Imperfect Knowledge. Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla |
| 2020 | Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model. Avirup Saha, Shreyas Sheshadri, Samik Datta, Niloy Ganguly, Disha Makhija, Priyank Patel |
| 2020 | UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data. Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jianguang Lou |
| 2020 | Uniform Welfare Guarantees Under Identical Subadditive Valuations. Siddharth Barman, Ranjani G. Sundaram |
| 2020 | Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem. Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias S. Kotsireas, Vijay Ganesh |
| 2020 | Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan |
| 2020 | Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation. Danbing Zou, Qikui Zhu, Pingkun Yan |
| 2020 | Unsupervised Monocular Visual-inertial Odometry Network. Peng Wei, Guoliang Hua, Weibo Huang, Fanyang Meng, Hong Liu |
| 2020 | Unsupervised Multilingual Alignment using Wasserstein Barycenter. Xin Lian, Kshitij Jain, Jakub Truszkowski, Pascal Poupart, Yaoliang Yu |
| 2020 | Unsupervised Representation Learning by Predicting Random Distances. Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma |
| 2020 | Unsupervised Scene Adaptation with Memory Regularization in vivo. Zhedong Zheng, Yi Yang |
| 2020 | Unsupervised Vehicle Re-identification with Progressive Adaptation. Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, Meng Wang |
| 2020 | User Modeling with Click Preference and Reading Satisfaction for News Recommendation. Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis |
| 2020 | Variable Elimination in Binary CSPs (Extended Abstract). Martin C. Cooper, Achref El Mouelhi, Cyril Terrioux |
| 2020 | Variational Bayes in Private Settings (VIPS) (Extended Abstract). James R. Foulds, Mijung Park, Kamalika Chaudhuri, Max Welling |
| 2020 | Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge. Gehui Shen, Xi Chen, Zhi-Hong Deng |
| 2020 | Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection. Xia Cai |
| 2020 | Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints. Steven Carr, Nils Jansen, Ufuk Topcu |
| 2020 | Verifying Fault-Tolerance in Probabilistic Swarm Systems. Alessio Lomuscio, Edoardo Pirovano |
| 2020 | Vertex Weighting-Based Tabu Search for p-Center Problem. Qingyun Zhang, Zhipeng Lü, Zhouxing Su, Chumin Li, Yuan Fang, Fuda Ma |
| 2020 | Video Question Answering on Screencast Tutorials. Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin |
| 2020 | Visual Encoding and Decoding of the Human Brain Based on Shared Features. Chao Li, Baolin Liu, Jianguo Wei |
| 2020 | WEFE: The Word Embeddings Fairness Evaluation Framework. Pablo Badilla, Felipe Bravo-Marquez, Jorge Pérez |
| 2020 | Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings. Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand |
| 2020 | Weakly Supervised Local-Global Relation Network for Facial Expression Recognition. Haifeng Zhang, Wen Su, Jun Yu, Zengfu Wang |
| 2020 | Weakly-Supervised Multi-view Multi-instance Multi-label Learning. Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | Well-Structured Committees. Sushmita Gupta, Pallavi Jain, Saket Saurabh |
| 2020 | When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han |
| 2020 | When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark. Xiao Wang, Jun Chen, Zheng Wang, Wu Liu, Shin'ichi Satoh, Chao Liang, Chia-Wen Lin |
| 2020 | When to Follow the Tip: Security Games with Strategic Informants. Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang |
| 2020 | Who Am I?: Towards Social Self-Awareness for Intelligent Agents. Budhitama Subagdja, Han Yi Tay, Ah-Hwee Tan |
| 2020 | Why We Go Where We Go: Profiling User Decisions on Choosing POIs. Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong |
| 2020 | Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract). Mohammad Mahdi Amirian, Saeed Shiry Ghidary |
| 2020 | Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea. Sondre Hamnvik, Pierre Bernabé, Sagar Sen |
| 2020 | Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space. Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng |
| 2020 | k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes. Jiping Zheng, Ganfeng Lu |
| 2020 | pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization. Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, Ye Yuan |