IJCAI 2020
777 papers
A Dual Input-Aware Factorization Machine for CTR Prediction
Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan A Game Theoretic Approach for Core Resilience
Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh 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 A Logic of Directions
Heshan Du, Natasha Alechina, Anthony G. Cohn A Modal Logic for Joint Abilities Under Strategy Commitments
Zhaoshuai Liu, Liping Xiong, Yongmei Liu, Yves Lespérance, Ronghai Xu, Hongyi Shi A Speech-to-Knowledge-Graph Construction System
Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu A Survey on Computational Propaganda Detection
Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov A Survey on Using Gaze Behaviour for Natural Language Processing
Sandeep Mathias, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya 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 Accelerating Stratified Sampling SGD by Reconstructing Strata
Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng 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 Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller Adversarial Mutual Information Learning for Network Embedding
Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu Adversarial Oracular Seq2seq Learning for Sequential Recommendation
Pengyu Zhao, Tianxiao Shui, Yuanxing Zhang, Kecheng Xiao, Kaigui Bian 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 An Algorithm for Multi-Attribute Diverse Matching
Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller 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 Answering Counting Queries over DL-Lite Ontologies
Meghyn Bienvenu, Quentin Manière, Michaël Thomazo Argot: Generating Adversarial Readable Chinese Texts
Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun Assume-Guarantee Synthesis for Prompt Linear Temporal Logic
Nathanaël Fijalkow, Bastien Maubert, Aniello Murano, Moshe Y. Vardi Asymmetric Distribution Measure for Few-Shot Learning
Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo Automatic Curriculum Learning for Deep RL: A Short Survey
Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer Auxiliary Template-Enhanced Generative Compatibility Modeling
Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma BANANA: When Behavior ANAlysis Meets Social Network Alignment
Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo 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, Yu-Han Wang Batch Decorrelation for Active Metric Learning
Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri 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 BDI Agent Architectures: A Survey
Lavindra de Silva, Felipe Meneguzzi, Brian Logan BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval
Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma Beyond Intra-Modality: A Survey of Heterogeneous Person Re-Identification
Zheng Wang, Zhixiang Wang, Yinqiang Zheng, Yang Wu, Wenjun Zeng, Shin'ichi Satoh Beyond Network Pruning: A Joint Search-and-Training Approach
Xiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi Biased Feature Learning for Occlusion Invariant Face Recognition
Changbin Shao, Jing Huo, Lei Qi, Zhenhua Feng, Wenbin Li, Chuanqi Dong, Yang Gao Biased Opinion Dynamics: When the Devil Is in the Details
Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo Bidirectional Heuristic Search: Expanding Nodes by a Lower Bound
Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang BlueMemo: Depression Analysis Through Twitter Posts
Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei BRPO: Batch Residual Policy Optimization
Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier C3MM: Clique-Closure Based Hyperlink Prediction
Govind Sharma, Prasanna Patil, M. Narasimha Murty Can Cross Entropy Loss Be Robust to Label Noise?
Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An Cause-Effect Association Between Event Pairs in Event Datasets
Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian 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 Channel Pruning via Automatic Structure Search
Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian Collaboration Based Multi-Label Propagation for Fraud Detection
Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen 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 Coloring Graph Neural Networks for Node Disambiguation
George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux Combining Direct Trust and Indirect Trust in Multi-Agent Systems
Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles Communicative Representation Learning on Attributed Molecular Graphs
Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang Community-Centric Graph Convolutional Network for Unsupervised Community Detection
Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang Concurrent Games in Dynamic Epistemic Logic
Bastien Maubert, Sophie Pinchinat, François Schwarzentruber, Silvia Stranieri Cone Semantics for Logics with Negation
Özgür Lütfü Özçep, Mena Leemhuis, Diedrich Wolter Contextualized Point-of-Interest Recommendation
Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang Controllability of Control Argumentation Frameworks
Andreas Niskanen, Daniel Neugebauer, Matti Järvisalo Convexity of B-Matching Games
Soh Kumabe, Takanori Maehara Counting Query Answers over a DL-Lite Knowledge Base
Diego Calvanese, Julien Corman, Davide Lanti, Simon Razniewski 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 Crowdsourcing with Multiple-Source Knowledge Transfer
Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi 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 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 Decorrelated Clustering with Data Selection Bias
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang Deep Feedback Network for Recommendation
Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin 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 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 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 Diagnosing Software Faults Using Multiverse Analysis
Prantik Chatterjee, Abhijit Chatterjee, José Campos, Rui Abreu, Subhajit Roy DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li Differential Privacy for Stackelberg Games
Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck Diffusion Variational Autoencoders
Luis A. Pérez Rey, Vlado Menkovski, Jim Portegies Discovering Latent Class Labels for Multi-Label Learning
Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi Discovering Subsequence Patterns for Next POI Recommendation
Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing Discrete Embedding for Latent Networks
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang Disentangled Feature Learning Network for Vehicle Re-Identification
Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Ling-Yu Duan 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 Domain Adaptation for Semantic Parsing
Zechang Li, Yuxuan Lai, Yansong Feng, Dongyan Zhao Dress like an Internet Celebrity: Fashion Retrieval in Videos
Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu Dual Policy Distillation
Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu 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 Efficient and Modularized Training on FPGA for Real-Time Applications
Shreyas Kolala Venkataramanaiah, Xiaocong Du, Zheng Li, Shihui Yin, Yu Cao, Jae-sun Seo 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 Embodied Multimodal Multitask Learning
Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra End-to-End Transition-Based Online Dialogue Disentanglement
Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu Enhancing Dialog Coherence with Event Graph Grounded Content Planning
Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che Enhancing Urban Flow Maps via Neural ODEs
Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang Euclidean Pathfinding with Compressed Path Databases
Bojie Shen, Muhammad Aamir Cheema, Daniel Harabor, Peter J. Stuckey Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise
Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, George A. Krimpas Evaluating Natural Language Generation via Unbalanced Optimal Transport
Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng Exemplar Guided Neural Dialogue Generation
Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin 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 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 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 Feature Augmented Memory with Global Attention Network for VideoQA
Jiayin Cai, Chun Yuan, Cheng Shi, Lei Li, Yangyang Cheng, Ying Shan 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 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 Fine-Grained View on Bribery for Group Identification
Niclas Boehmer, Robert Bredereck, Dusan Knop, Junjie Luo Flow-Based Intrinsic Curiosity Module
Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee Flow-Based Network Creation Games
Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko Forgetting Auxiliary Atoms in Forks (Extended Abstract)
Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, David Pearce, Gilberto Pérez, Concepción Vidal 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 Gated POS-Level Language Model for Authorship Verification
Linshu Ouyang, Yongzheng Zhang, Hui Liu, Yige Chen, Yipeng Wang Generalized Mean Estimation in Monte-Carlo Tree Search
Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen Generalized Zero-Shot Text Classification for ICD Coding
Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing 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 Goal Recognition Design - Survey
Sarah Keren, Avigdor Gal, Erez Karpas Graph Neural Architecture Search
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu 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 Greedy Convex Ensemble
Thanh Tan Nguyen, Nan Ye, Peter L. Bartlett Guided Generation of Cause and Effect
Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme Harnessing Code Switching to Transcend the Linguistic Barrier
Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell Heterogeneous Network Representation Learning
Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang HID: Hierarchical Multiscale Representation Learning for Information Diffusion
Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia 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 Human-Driven FOL Explanations of Deep Learning
Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci Improving Knowledge Tracing via Pre-Training Question Embeddings
Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu Independent Skill Transfer for Deep Reinforcement Learning
Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang Inference-Masked Loss for Deep Structured Output Learning
Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi 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 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 Intent Preference Decoupling for User Representation on Online Recommender System
Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen Intention Progression Under Uncertainty
Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah Interpretable Models for Understanding Immersive Simulations
Nicholas Hoernle, Kobi Gal, Barbara J. Grosz, Leilah Lyons, Ada Ren, Andee Rubin 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 Iterative-Deepening Conflict-Based Search
Eli Boyarski, Ariel Felner, Daniel Harabor, Peter J. Stuckey, Liron Cohen, Jiaoyang Li, Sven Koenig JANE: Jointly Adversarial Network Embedding
Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo 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 Knowledge Hypergraphs: Prediction Beyond Binary Relations
Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole Label-Attended Hashing for Multi-Label Image Retrieval
Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou Lagrangian Decomposition for Classical Planning (Extended Abstract)
Florian Pommerening, Gabriele Röger, Malte Helmert, Hadrien Cambazard, Louis-Martin Rousseau, Domenico Salvagnin Latent Regularized Generative Dual Adversarial Network for Abnormal Detection
Chengwei Chen, Jing Liu, Yuan Xie, Yin Xiao Ban, Chunyun Wu, Yiqing Tao, Haichuan Song Learning from Multi-Dimensional Partial Labels
Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen Learning in the Wild with Incremental Skeptical Gaussian Processes
Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini 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 Learning Optimal Decision Trees Using Constraint Programming (Extended Abstract)
Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings Learning Personalized Itemset Mapping for Cross-Domain Recommendation
Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang Learning to Complement Humans
Bryan Wilder, Eric Horvitz, Ece Kamar Leveraging Document-Level Label Consistency for Named Entity Recognition
Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang Lifelong Zero-Shot Learning
Kun Wei, Cheng Deng, Xu Yang Lifted Hybrid Variational Inference
Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi 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 Marthe: Scheduling the Learning Rate via Online Hypergradients
Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi Maximizing Welfare with Incentive-Aware Evaluation Mechanisms
Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang Maximum Nash Welfare and Other Stories About EFX
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris MergeNAS: Merge Operations into One for Differentiable Architecture Search
Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun Mixed-Variable Bayesian Optimization
Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause Modeling Topical Relevance for Multi-Turn Dialogue Generation
Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin 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 Motif-Preserving Temporal Network Embedding
Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation
Edoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli Multi-Channel Graph Neural Networks
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu Multi-Class Imbalanced Graph Convolutional Network Learning
Min Shi, Yufei Tang, Xingquan Zhu, David A. Wilson, Jianxun Liu Multi-Directional Heuristic Search
Dor Atzmon, Jiaoyang Li, Ariel Felner, Eliran Nachmani, Shahaf S. Shperberg, Nathan R. Sturtevant, Sven Koenig Multi-Graph Fusion for Functional Neuroimaging Biomarker Detection
Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu 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 Multi-View Attribute Graph Convolution Networks for Clustering
Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao Neural Entity Summarization with Joint Encoding and Weak Supervision
Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen Neural Representation and Learning of Hierarchical 2-Additive Choquet Integrals
Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag NLocalSAT: Boosting Local Search with Solution Prediction
Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang 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 On Computational Aspects of Iterated Belief Change
Nicolas Schwind, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis On Deep Unsupervised Active Learning
Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang On Irrelevant Literals in Pseudo-Boolean Constraint Learning
Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon Online Positive and Unlabeled Learning
Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang Online Revenue Maximization for Server Pricing
Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta Optimal Planning Modulo Theories
Francesco Leofante, Enrico Giunchiglia, Erika Ábrahám, Armando Tacchella Optimal Region Search with Submodular Maximization
Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao Order-Dependent Event Models for Agent Interactions
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian 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 Pitfalls of Learning a Reward Function Online
Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg Pivot-Based Maximal Biclique Enumeration
Aman Abidi, Rui Zhou, Lu Chen, Chengfei Liu Playing Atari with Six Neurons (Extended Abstract)
Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux Potential Driven Reinforcement Learning for Hard Exploration Tasks
Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing Predicting Strategic Behavior from Free Text (Extended Abstract)
Omer Ben-Porat, Lital Kuchy, Sharon Hirsch, Guy Elad, Roi Reichart, Moshe Tennenholtz ProbAnch: A Modular Probabilistic Anchoring Framework
Andreas Persson, Pedro Zuidberg Dos Martires, Luc De Raedt, Amy Loutfi Prophet Inequalities for Bayesian Persuasion
Niklas Hahn, Martin Hoefer, Rann Smorodinsky Provenance for the Description Logic ELHr
Camille Bourgaux, Ana Ozaki, Rafael Peñaloza, Livia Predoiu Pure-past Linear Temporal and Dynamic Logic on Finite Traces
Giuseppe De Giacomo, Antonio Di Stasio, Francesco Fuggitti, Sasha Rubin Putting Accountability of AI Systems into Practice
Beatriz San Miguel, Aisha Naseer, Hiroya Inakoshi Real-World Automatic Makeup via Identity Preservation Makeup Net
Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, Jiyong Zhang Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning
Man Luo, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Bowen Du, Hongkai Wen 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 Reference Guided Face Component Editing
Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li, Zhenan Sun Reinforcement Learning Framework for Deep Brain Stimulation Study
Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov Relation-Aware Transformer for Portfolio Policy Learning
Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan Reward Prediction Error as an Exploration Objective in Deep RL
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