default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID34th AAAI 2020: New York, NY, USA
- The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. AAAI Press 2020, ISBN 978-1-57735-823-7
AAAI Technical Track: AI and the Web
- Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert:
Balancing Spreads of Influence in a Social Network. 3-10 - Yue Cao, Xiaojun Wan, Jin-ge Yao, Dian Yu:
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization. 11-18 - Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation. 19-26 - Lei Chen, Le Wu
, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. 27-34 - Long Chen, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai:
Question-Driven Purchasing Propensity Analysis for Recommendation. 35-42 - Wei Chen, Weizhong Zhang, Haoyu Zhao:
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. 43-50 - Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng:
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. 51-58 - Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu:
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. 59-66 - Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He:
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. 67-74 - Jun Guo, Heng Chang, Wenwu Zhu:
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data. 75-82 - Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng:
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. 83-90 - Wenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, Xiaojie Yuan:
Re-Attention for Visual Question Answering. 91-98 - Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin:
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition. 99-106 - Ling Huang, Hong-Yang Chao, Guangqiang Xie:
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. 107-114 - Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo:
Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation. 115-122 - Lei Ji, Botian Shi, Xianglin Guo, Xilin Chen:
Functionality Discovery and Prediction of Physical Objects. 123-130 - Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail:
True Nonlinear Dynamics from Incomplete Networks. 131-138 - Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang:
Understanding and Improving Proximity Graph Based Maximum Inner Product Search. 139-146 - Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu:
Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network. 147-155 - Zequn Lyu, Yu Dong, Chengfu Huo, Weijun Ren:
Deep Match to Rank Model for Personalized Click-Through Rate Prediction. 156-163 - Sijie Mai, Haifeng Hu, Songlong Xing:
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. 164-172 - Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen:
A Variational Point Process Model for Social Event Sequences. 173-180 - Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. 181-188 - Dilruk Perera, Roger Zimmermann:
Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data. 189-197 - Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. 198-205 - Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall:
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms. 206-213 - Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. 214-221 - Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu:
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. 222-229 - Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada:
Learning with Unsure Responses. 230-237 - Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang:
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. 238-245 - Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, Xiaoman Zhao, Chong Peng, Gong Chen, Xiaoyong Du:
Social Influence Does Matter: User Action Prediction for In-Feed Advertising. 246-253 - Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua:
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. 254-261 - Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. 262-269 - Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun:
Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation. 270-278 - Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan:
Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization. 279-286 - Xun Yang, Xiaoyu Du, Meng Wang:
Learning to Match on Graph for Fashion Compatibility Modeling. 287-294 - Heng Zhang, Xiaofei Wang, Jiawen Chen, Chenyang Wang, Jianxin Li:
D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks. 295-302 - Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. 303-311 - Lei Zheng, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Multi-Channel Reverse Dictionary Model. 312-319 - Mengyu Zhou, Wang Tao, Pengxin Ji, Han Shi, Dongmei Zhang:
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data. 320-328 - Xiaoling Zhou, Yukai Miao, Wei Wang, Jianbin Qin:
A Recurrent Model for Collective Entity Linking with Adaptive Features. 329-336
AAAI Special Technical Track: AI for Social Impact
- Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer:
FairyTED: A Fair Rating Predictor for TED Talk Data. 338-345 - Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah:
Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment. 346-353 - Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes:
Unsupervised Detection of Sub-Events in Large Scale Disasters. 354-361 - Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang:
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. 362-369 - Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu:
Tracking Disaster Footprints with Social Streaming Data. 370-377 - Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler:
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. 378-385 - Shivang Chopra, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah:
Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives. 386-393 - Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry A. Kautz:
Inferring Nighttime Satellite Imagery from Human Mobility. 394-402 - Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier:
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. 403-411 - Kazuto Fukuchi, Satoshi Hara, Takanori Maehara:
Faking Fairness via Stealthily Biased Sampling. 412-419 - Mononito Goswami, Lujie Chen, Artur Dubrawski:
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. 420-427 - Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha:
Lightweight and Robust Representation of Economic Scales from Satellite Imagery. 428-436 - John Kalantari, Heidi Nelson, Nicholas Chia:
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research. 437-445 - Kei Yin Ng, Anna Feldman, Jing Peng:
Linguistic Fingerprints of Internet Censorship: The Case of Sina Weibo. 446-453 - Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. 454-462 - Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard:
Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism. 463-470 - Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin:
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response. 471-479 - Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang:
Automatically Neutralizing Subjective Bias in Text. 480-489 - Piotr Przybyla:
Capturing the Style of Fake News. 490-497 - Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. 498-506 - Sanket Shah, Meghna Lowalekar, Pradeep Varakantham:
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. 507-515 - Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. 516-523 - Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Protecting Geolocation Privacy of Photo Collections. 524-531 - Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi:
Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management. 532-539 - Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng:
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. 540-547
AAAI Technical Track: Applications
- Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. 549-556 - Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. 557-564 - Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. 565-573 - Lisi Chen, Shuo Shang, Tao Guo:
Real-Time Route Search by Locations. 574-581 - Lisi Chen, Shuo Shang, Bin Yao, Jing Li:
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks. 582-589 - Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao:
Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization. 590-597 - Chaoran Cheng, Fei Tan, Zhi Wei:
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. 598-605 - Edward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores, Emily Xue, Andrew M. Dai:
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer. 606-613 - Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. 614-621 - Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan:
Differentially Private and Fair Classification via Calibrated Functional Mechanism. 622-629 - Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. 630-637 - Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. 638-645 - Yiming Gao, Jiangqin Wu:
GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering. 646-653 - Michael Geden, Andrew Emerson, Jonathan P. Rowe, Roger Azevedo, James C. Lester:
Predictive Student Modeling in Educational Games with Multi-Task Learning. 654-661 - Jiqing Gu, Chao Song, Wenjun Jiang, Xiaomin Wang, Ming Liu:
Enhancing Personalized Trip Recommendation with Attractive Routes. 662-669 - Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. 670-677 - Leonardo Gutiérrez-Gómez, Alexandre Bovet, Jean-Charles Delvenne:
Multi-Scale Anomaly Detection on Attributed Networks. 678-685 - Yiqing Hu, Yan Zheng, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren:
Accurate Structured-Text Spotting for Arithmetical Exercise Correction. 686-693 - Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang:
Pairwise Learning with Differential Privacy Guarantees. 694-701 - Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. 702-709 - Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. 710-718 - Ziqi Ke, Haris Vikalo:
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction. 719-726 - Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman:
Generating Realistic Stock Market Order Streams. 727-734 - Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao:
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification. 735-742 - Dingwen Li, Patrick G. Lyons, Chenyang Lu, Marin Kollef:
DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards. 743-750 - Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie:
Region Focus Network for Joint Optic Disc and Cup Segmentation. 751-758 - Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang:
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking. 759-766 - Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman:
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. 767-774 - Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation. 775-783 - Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He:
Privacy-Preserving Gradient Boosting Decision Trees. 784-791 - Wentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang:
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning. 792-799 - Yi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang, Yangtian Yan, Shen Ge, Kai Wang, Wei Fan, Xiang Chen, Yong Wang:
PSENet: Psoriasis Severity Evaluation Network. 800-807 - Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, Cláudio T. Silva:
Learning Geo-Contextual Embeddings for Commuting Flow Prediction. 808-816 - Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang:
Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments. 817-824 - Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma:
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. 825-832 - Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao:
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. 833-840 - Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian:
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction. 841-848 - Zhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadong Ma, Jianhua Liu, Ning Yang:
Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing. 849-856 - Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu:
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. 857-864 - Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy:
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. 865-872 - Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar:
Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules. 873-880 - Anthony Rios:
FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English. 881-889 - Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng:
Learning to Generate Maps from Trajectories. 890-897 - Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan:
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. 898-905 - Han Shi, Haozheng Fan, James T. Kwok:
Effective Decoding in Graph Auto-Encoder Using Triadic Closure. 906-913 - Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan:
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting. 914-921 - Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu:
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. 922-929 - Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong Chi Yuen:
DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series. 930-937 - Binglin Tao, Mingyu Xiao, Jingyang Zhao:
Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes. 938-945 - Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik:
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. 946-953 - Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, Yier Jin:
Robust Adversarial Objects against Deep Learning Models. 954-962 - Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo:
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting. 963-970 - Heyuan Wang, Tengjiao Wang, Yi Li:
Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework. 971-978 - Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin:
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. 979-988 - Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang:
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. 989-996 - Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao:
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. 997-1004 - Yu Wang, Jack W. Stokes, Mady Marinescu:
Actor Critic Deep Reinforcement Learning for Neural Malware Control. 1005-1012 - Zhecheng Wang, Haoyuan Li, Ram Rajagopal:
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding. 1013-1020 - Marcin Waniek, Tomasz P. Michalak, Talal Rahwan:
Hiding in Multilayer Networks. 1021-1028 - Hao Wu, Shuang Hao:
A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed. 1029-1036 - Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang:
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories. 1037-1045 - Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Accelerating and Improving AlphaZero Using Population Based Training. 1046-1053 - Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen:
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. 1054-1061 - Yuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, Haifeng Huang:
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis. 1062-1069 - Hiromu Yakura, Youhei Akimoto, Jun Sakuma:
Generate (Non-Software) Bugs to Fool Classifiers. 1070-1078 - An Yan, Bill Howe:
Fairness-Aware Demand Prediction for New Mobility. 1079-1087 - Kaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho, Yier Jin:
Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World. 1088-1095 - Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, Filippo Menczer:
Scalable and Generalizable Social Bot Detection through Data Selection. 1096-1103 - Xiaodong Yang, Yiqiang Chen, Hanchao Yu, Yingwei Zhang, Wang Lu, Ruizhe Sun:
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition. 1104-1111 - Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li:
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. 1112-1119 - Chong Yu:
Attention Based Data Hiding with Generative Adversarial Networks. 1120-1128 - Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei:
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. 1129-1136 - Tong Yu, Yilin Shen, Hongxia Jin:
Towards Hands-Free Visual Dialog Interactive Recommendation. 1137-1144 - Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang, Shi Wu:
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection. 1145-1152 - Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li:
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control. 1153-1160 - Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. 1161-1168 - Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin:
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. 1169-1176 - Qi Zhang, Jianlong Chang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Spatio-Temporal Graph Structure Learning for Traffic Forecasting. 1177-1185 - Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong:
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. 1186-1193 - Xitong Zhang, He Zhu, Jiayu Zhou:
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms. 1194-1201 - Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, L. Jeff Hong:
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving. 1202-1209 - Zhaoqi Zhang, Panpan Qi, Wei Wang:
Dynamic Malware Analysis with Feature Engineering and Feature Learning. 1210-1217 - Chengqian Zhao, Cheng Feng, Dengwang Li, Shuo Li:
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation. 1218-1225 - Zewei Zhao, Houfeng Wang:
MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking. 1226-1233 - Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi:
GMAN: A Graph Multi-Attention Network for Traffic Prediction. 1234-1241 - Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang:
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. 1242-1249 - Haoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction. 1250-1257 - Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu:
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework. 1258-1265 - Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi:
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection. 1266-1273 - Mengxiao Zhu, Haogang Zhu:
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs. 1274-1281
AAAI Technical Track: Cognitive Modeling
- Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. 1283-1291 - Kian Hamedani, Lingjia Liu, Shiya Liu, Haibo He, Yang Yi:
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing. 1292-1299 - Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths:
People Do Not Just Plan, They Plan to Plan. 1300-1307 - Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan:
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. 1308-1315 - Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin:
Biologically Plausible Sequence Learning with Spiking Neural Networks. 1316-1323 - Arthur Williams, Joshua L. Phillips:
Transfer Reinforcement Learning Using Output-Gated Working Memory. 1324-1331 - Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu:
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning. 1332-1340
AAAI Technical Track: Cognitive Systems
- Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha:
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits. 1342-1350 - Esma Mansouri-Benssassi, Juan Ye:
Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks. 1351-1358 - Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha:
M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues. 1359-1367
AAAI Technical Track: Computational Sustainability
- Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. 1369-1377 - Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
End-to-End Game-Focused Learning of Adversary Behavior in Security Games. 1378-1386 - Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet:
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection. 1387-1394 - Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang:
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. 1395-1402 - Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen:
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. 1403-1411
AAAI Technical Track: Constraint Satisfaction and Optimization
- Alessandro Bertagnon, Marco Gavanelli:
Improved Filtering for the Euclidean Traveling Salesperson Problem in CLP(FD). 1412-1419 - Christian Bessiere, Clément Carbonnel, George Katsirelos:
Chain Length and CSPs Learnable with Few Queries. 1420-1427 - Md. Solimul Chowdhury, Martin Müller, Jia-Huai You:
Guiding CDCL SAT Search via Random Exploration amid Conflict Depression. 1428-1435 - Emir Demirovic, Nicolas Schwind:
Representative Solutions for Bi-Objective Optimisation. 1436-1443 - Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan:
Dynamic Programming for Predict+Optimise. 1444-1451 - Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song:
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction. 1452-1459 - Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Optimization of Chance-Constrained Submodular Functions. 1460-1467 - Jeffrey M. Dudek, Vu Phan, Moshe Y. Vardi:
ADDMC: Weighted Model Counting with Algebraic Decision Diagrams. 1468-1476 - Alexander Ek, Maria Garcia de la Banda, Andreas Schutt, Peter J. Stuckey, Guido Tack:
Modelling and Solving Online Optimisation Problems. 1477-1485 - Jan Elffers, Stephan Gocht, Ciaran McCreesh, Jakob Nordström:
Justifying All Differences Using Pseudo-Boolean Reasoning. 1486-1494 - Jan Elffers, Jakob Nordström:
A Cardinal Improvement to Pseudo-Boolean Solving. 1495-1503 - Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe:
MIPaaL: Mixed Integer Program as a Layer. 1504-1511 - Arthur Godet, Xavier Lorca, Emmanuel Hebrard, Gilles Simonin:
Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources. 1512-1519 - Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li:
SPAN: A Stochastic Projected Approximate Newton Method. 1520-1527 - Linnea Ingmar, Maria Garcia de la Banda, Peter J. Stuckey, Guido Tack:
Modelling Diversity of Solutions. 1528-1535 - Avraham Itzhakov, Michael Codish:
Incremental Symmetry Breaking Constraints for Graph Search Problems. 1536-1543 - Tuukka Korhonen, Matti Järvisalo:
Finding Most Compatible Phylogenetic Trees over Multi-State Characters. 1544-1551 - Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang:
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints. 1552-1560 - Javier Larrosa, Emma Rollon:
Augmenting the Power of (Partial) MaxSat Resolution with Extension. 1561-1568 - Zhendong Lei, Shaowei Cai:
Solving Set Cover and Dominating Set via Maximum Satisfiability. 1569-1576 - Hongbo Li, Jimmy Lee, He Mi, Minghao Yin:
Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining. 1577-1584 - Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi:
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. 1585-1592 - Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony:
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. 1593-1602 - Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns:
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems. 1603-1610 - Kairo Morton, William T. Hallahan, Elven Shum, Ruzica Piskac, Mark Santolucito:
Grammar Filtering for Syntax-Guided Synthesis. 1611-1618 - Taoxing Pan, Jun Liu, Jie Wang:
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems. 1619-1626 - Tuhin Sahai, Anurag Mishra, Jose Miguel Pasini, Susmit Jha:
Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms. 1627-1635 - Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren:
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. 1636-1643 - Yuki Satake, Hiroshi Unno, Hinata Yanagi:
Probabilistic Inference for Predicate Constraint Satisfaction. 1644-1651 - Marc Vinyals:
Hard Examples for Common Variable Decision Heuristics. 1652-1659 - Tianzhe Wang, Zetian Jiang, Junchi Yan:
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. 1660-1667 - Sean A. Weaver, Marijn Heule:
Constructing Minimal Perfect Hash Functions Using SAT Technology. 1668-1675 - Felix Winter, Nysret Musliu, Peter J. Stuckey:
Explaining Propagators for String Edit Distance Constraints. 1676-1683 - Shenghe Xu, Shivendra S. Panwar, Murali S. Kodialam, T. V. Lakshman:
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization. 1684-1691
AAAI Technical Track: Game Playing and Interactive Entertainment
- Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston:
Generating Interactive Worlds with Text. 1693-1700 - Adrian Goldwaser, Michael Thielscher:
Deep Reinforcement Learning for General Game Playing. 1701-1708 - Thomas Hayton, Julie Porteous, João F. Ferreira, Alan Lindsay:
Narrative Planning Model Acquisition from Text Summaries and Descriptions. 1709-1716 - Wei Li, Yongxing He, Yanwei Qi, Zejian Li, Yongchuan Tang:
FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization. 1717-1724 - Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, Rui Yan:
A Character-Centric Neural Model for Automated Story Generation. 1725-1732 - Tianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan:
Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation. 1733-1740 - Meng-Hsuan Yu, Juntao Li, Danyang Liu, Bo Tang, Haisong Zhang, Dongyan Zhao, Rui Yan:
Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder. 1741-1748
AAAI Technical Track: Game Theory and Economic Paradigms
- Erman Acar, Reshef Meir:
Distance-Based Equilibria in Normal-Form Games. 1750-1757 - Aishwarya Agarwal, Edith Elkind, Jiarui Gan, Alexandros A. Voudouris:
Swap Stability in Schelling Games on Graphs. 1758-1765 - Alessandro Aloisio, Michele Flammini, Cosimo Vinci:
The Impact of Selfishness in Hypergraph Hedonic Games. 1766-1773 - Tal Alon, Magdalen Dobson, Ariel D. Procaccia, Inbal Talgam-Cohen, Jamie Tucker-Foltz:
Multiagent Evaluation Mechanisms. 1774-1781 - Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries. 1782-1789 - Georgios Amanatidis, Evangelos Markakis, Apostolos Ntokos:
Multiple Birds with One Stone: Beating 1/2 for EFX and GMMS via Envy Cycle Elimination. 1790-1797 - Guy Avni, Rasmus Ibsen-Jensen, Josef Tkadlec:
All-Pay Bidding Games on Graphs. 1798-1805 - Haris Aziz, Hau Chan, Barton Lee, Bo Li, Toby Walsh:
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives. 1806-1813 - Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu:
Fair Division of Mixed Divisible and Indivisible Goods. 1814-1821 - Niclas Boehmer, Edith Elkind:
Individual-Based Stability in Hedonic Diversity Games. 1822-1829 - Robert Bredereck, Jiehua Chen, Dusan Knop, Junjie Luo, Rolf Niedermeier:
Adapting Stable Matchings to Evolving Preferences. 1830-1837 - Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier:
Parameterized Algorithms for Finding a Collective Set of Items. 1838-1845 - Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier:
Electing Successive Committees: Complexity and Algorithms. 1846-1853 - Markus Brill, Paul Gölz, Dominik Peters, Ulrike Schmidt-Kraepelin, Kai Wilker:
Approval-Based Apportionment. 1854-1861 - Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong:
Refining Tournament Solutions via Margin of Victory. 1862-1869 - Matteo Castiglioni, Andrea Celli, Nicola Gatti:
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud. 1870-1877 - Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti:
Election Control in Social Networks via Edge Addition or Removal. 1878-1885 - Andrea Celli, Stefano Coniglio, Nicola Gatti:
Private Bayesian Persuasion with Sequential Games. 1886-1893 - Xujin Chen, Minming Li, Chenhao Wang:
Favorite-Candidate Voting for Eliminating the Least Popular Candidate in a Metric Space. 1894-1901 - Eduard Eiben, Fedor V. Fomin, Fahad Panolan, Kirill Simonov:
Manipulating Districts to Win Elections: Fine-Grained Complexity. 1902-1909 - Svetlana Obraztsova, Edith Elkind, Piotr Faliszewski:
On Swap Convexity of Voting Rules. 1910-1917 - Ulle Endriss:
Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms. 1918-1925 - Bruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau:
Iterative Delegations in Liquid Democracy with Restricted Preferences. 1926-1933 - Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm:
Coarse Correlation in Extensive-Form Games. 1934-1941 - Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz:
Designing Committees for Mitigating Biases. 1942-1949 - Michele Flammini, Bojana Kodric, Giovanna Varricchio:
Strategyproof Mechanisms for Friends and Enemies Games. 1950-1957 - Rupert Freeman, David M. Pennock, Dominik Peters, Bo Waggoner:
Preventing Arbitrage from Collusion When Eliciting Probabilities. 1958-1965 - Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
VCG under Sybil (False-Name) Attacks - A Bayesian Analysis. 1966-1973 - Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat:
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy. 1974-1981 - Hugo Gilbert, Tom Portoleau, Olivier Spanjaard:
Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem. 1982-1989 - Paul W. Goldberg, Alexandros Hollender, Warut Suksompong:
Contiguous Cake Cutting: Hardness Results and Approximation Algorithms. 1990-1997 - Rica Gonen, Erel Segal-Halevi:
Strongly Budget Balanced Auctions for Multi-Sided Markets. 1998-2005 - Gianluigi Greco, Francesco Scarcello:
The Complexity of Computing Maximin Share Allocations on Graphs. 2006-2013 - Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Hejun Wang, Lirong Xia:
Fair Division Through Information Withholding. 2014-2021 - Wenjie Huang, Pham Viet Hai, William Benjamin Haskell:
Model and Reinforcement Learning for Markov Games with Risk Preferences. 2022-2029 - Kei Ikegami, Kyohei Okumura, Takumi Yoshikawa:
A Simple, Fast, and Safe Mediator for Congestion Management. 2030-2037 - Atsushi Iwasaki, Tadashi Sekiguchi, Shun Yamamoto, Makoto Yokoo:
Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach. 2038-2045 - Shweta Jain, Sujit Gujar:
A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids. 2046-2053 - Jan Karwowski, Jacek Mandziuk:
Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games. 2054-2061 - Takehiro Kawasaki, Nathanaël Barrot, Seiji Takanashi, Taiki Todo, Makoto Yokoo:
Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network. 2062-2069 - Yasushi Kawase, Hanna Sumita:
On the Max-Min Fair Stochastic Allocation of Indivisible Goods. 2070-2078 - David Kempe:
An Analysis Framework for Metric Voting based on LP Duality. 2079-2086 - David Kempe:
Communication, Distortion, and Randomness in Metric Voting. 2087-2094 - Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu:
Information Elicitation Mechanisms for Statistical Estimation. 2095-2102 - Martin Lackner:
Perpetual Voting: Fairness in Long-Term Decision Making. 2103-2110 - Minming Li, Long Tran-Thanh, Xiaowei Wu:
Defending with Shared Resources on a Network. 2111-2118 - Zun Li, Michael P. Wellman:
Structure Learning for Approximate Solution of Many-Player Games. 2119-2127 - Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu:
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. 2128-2135 - Taylor Lundy, Hu Fu:
Limitations of Incentive Compatibility on Discrete Type Spaces. 2136-2143 - Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen:
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. 2144-2151 - Jan Maly:
Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets. 2152-2159 - Debmalya Mandal, Goran Radanovic, David C. Parkes:
The Effectiveness of Peer Prediction in Long-Term Forecasting. 2160-2167 - Safwan Hossain, Evi Micha, Nisarg Shah:
The Surprising Power of Hiding Information in Facility Location. 2168-2175 - Evi Micha, Nisarg Shah:
Can We Predict the Election Outcome from Sampled Votes? 2176-2183 - Marcin Michorzewski, Dominik Peters, Piotr Skowron:
Price of Fairness in Budget Division and Probabilistic Social Choice. 2184-2191 - Riley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah:
Robust Market Equilibria with Uncertain Preferences. 2192-2199 - Kengo Nakamura, Shinsaku Sakaue, Norihito Yasuda:
Practical Frank-Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games. 2200-2209 - Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan:
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours. 2210-2217 - Matthias Bentert, Piotr Skowron:
Comparing Election Methods Where Each Voter Ranks Only Few Candidates. 2218-2225 - Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe:
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. 2226-2235 - Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang:
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. 2236-2243 - Oskar Skibski:
Complexity of Computing the Shapley Value in Games with Externalities. 2244-2251 - Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh:
Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek. 2252-2259 - Haibin Wang, Sujoy Sikdar, Xiaoxi Guo, Lirong Xia, Yongzhi Cao, Hanpin Wang:
Multi-Type Resource Allocation with Partial Preferences. 2260-2267 - Shiheng Wang, Fangzhen Lin:
Nice Invincible Strategy for the Average-Payoff IPD. 2268-2275 - Zihe Wang, Zhide Wei, Jie Zhang:
Bounded Incentives in Manipulating the Probabilistic Serial Rule. 2276-2283 - Jakob Weissteiner, Sven Seuken:
Deep Learning-Powered Iterative Combinatorial Auctions. 2284-2293 - Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu:
A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading. 2294-2301 - Mingyu Xiao, Jiaxing Ling:
Algorithms for Manipulating Sequential Allocation. 2302-2309 - Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik:
Computing Equilibria in Binary Networked Public Goods Games. 2310-2317 - Youzhi Zhang, Bo An:
Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. 2318-2325
AAAI Technical Track: Heuristic Search and Optimization
- Vidal Alcázar, Patricia J. Riddle, Mike Barley:
A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search. 2327-2334 - Nawal Benabbou, Cassandre Leroy, Thibaut Lust:
An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems. 2335-2342 - Peilin Chen, Hai Wan, Shaowei Cai, Jia Li, Haicheng Chen:
Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex Problem. 2343-2350 - Kevin C. Gall, Bence Cserna, Wheeler Ruml:
Envelope-Based Approaches to Real-Time Heuristic Search. 2351-2358 - Zhengxin Huang, Yuren Zhou:
Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework. 2359-2366 - Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. 2367-2375 - Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics. 2376-2383 - Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao:
On Performance Estimation in Automatic Algorithm Configuration. 2384-2391 - Yanli Liu, Chu-Min Li, Hua Jiang, Kun He:
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems. 2392-2399 - Uri Patish, Shimon Ullman:
Cakewalk Sampling. 2400-2407 - Chao Qian, Chao Bian, Chao Feng:
Subset Selection by Pareto Optimization with Recombination. 2408-2415 - Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Asymptotic Risk of Bézier Simplex Fitting. 2416-2424 - Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization. 2425-2432 - Yiyuan Wang, Shaowei Cai, Shiwei Pan, Ximing Li, Minghao Yin:
Reduction and Local Search for Weighted Graph Coloring Problem. 2433-2441 - Yi Zhou, Jingwei Xu, Zhenyu Guo, Mingyu Xiao, Yan Jin:
Enumerating Maximal k-Plexes with Worst-Case Time Guarantee. 2442-2449
AAAI Technical Track: Human-AI Collaboration
- Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux:
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. 2451-2458 - Ta-Chung Chi, Minmin Shen, Mihail Eric, Seokhwan Kim, Dilek Hakkani-Tür:
Just Ask: An Interactive Learning Framework for Vision and Language Navigation. 2459-2466 - Michael K. Cohen, Badri N. Vellambi, Marcus Hutter:
Asymptotically Unambitious Artificial General Intelligence. 2467-2476 - Rick Evertsz, John Thangarajah:
A Framework for Engineering Human/Agent Teaming Systems. 2477-2484 - Ze Gong, Yu Zhang:
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics. 2485-2492 - Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere:
Explainable Reinforcement Learning through a Causal Lens. 2493-2500 - Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee:
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. 2501-2508 - Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. 2509-2517 - Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati:
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. 2518-2526 - Zhiwen Tang, Grace Hui Yang:
Corpus-Level End-to-End Exploration for Interactive Systems. 2527-2534 - Mark Woodward, Chelsea Finn, Karol Hausman:
Learning to Interactively Learn and Assist. 2535-2543 - Nicola Zaltron, Luisa Zurlo, Sebastian Risi:
CG-GAN: An Interactive Evolutionary GAN-Based Approach for Facial Composite Generation. 2544-2551 - Shun Zhang, Edmund H. Durfee, Satinder Singh:
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes. 2552-2559
AAAI Technical Track: Human-Computation and Crowd Sourcing
- Morgane Ayle, Jimmy Tekli, Julia El Zini, Boulos El Asmar, Mariette Awad:
BAR - A Reinforcement Learning Agent for Bounding-Box Automated Refinement. 2561-2568 - Ruijiang Gao, Maytal Saar-Tsechansky:
Cost-Accuracy Aware Adaptive Labeling for Active Learning. 2569-2576 - Yasmine Kotturi, Anson Kahng, Ariel D. Procaccia, Chinmay Kulkarni:
HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets. 2577-2584 - Jiacheng Liu, Xiaofeng Hou, Feilong Tang:
Fine-Grained Machine Teaching with Attention Modeling. 2585-2592
AAAI Technical Track: Humans and AI
- Arjun R. Akula, Shuai Wang, Song-Chun Zhu:
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. 2594-2601 - Ian Beaver, Cynthia Freeman, Abdullah Mueen:
Towards Awareness of Human Relational Strategies in Virtual Agents. 2602-2610 - Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez:
Regression under Human Assistance. 2611-2620 - Didan Deng, Zhaokang Chen, Yuqian Zhou, Bertram E. Shi:
MIMAMO Net: Integrating Micro- and Macro-Motion for Video Emotion Recognition. 2621-2628 - Changde Du, Changying Du, Lijie Huang, Huiguang He:
Conditional Generative Neural Decoding with Structured CNN Feature Prediction. 2629-2636 - Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian:
GaSPing for Utility. 2637-2644 - Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari, Debanjan Mahata, Amanda Stent, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition. 2645-2652 - Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang:
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. 2653-2660 - Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-Source Domain Adaptation for Visual Sentiment Classification. 2661-2668 - Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao:
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching. 2669-2676 - Marjaneh Safaei, Pooyan Balouchian, Hassan Foroosh:
UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions. 2677-2684 - Procheta Sen, Debasis Ganguly:
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning. 2685-2692 - Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut:
Reinforcing an Image Caption Generator Using Off-Line Human Feedback. 2693-2700 - Tengfei Song, Suyuan Liu, Wenming Zheng, Yuan Zong, Zhen Cui:
Instance-Adaptive Graph for EEG Emotion Recognition. 2701-2708 - Tong Zhang, Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang:
Variational Pathway Reasoning for EEG Emotion Recognition. 2709-2716 - Daniel Yue Zhang, Yifeng Huang, Yang Zhang, Dong Wang:
Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention. 2717-2724
AAAI Technical Track: Knowledge Representation and Reasoning
- Saeid Amiri, Mohammad Shokrolah Shirazi, Shiqi Zhang:
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty. 2726-2733 - Medina Andresel, Magdalena Ortiz, Mantas Simkus:
Query Rewriting for Ontology-Mediated Conditional Answers. 2734-2741 - Ringo Baumann, Gerhard Brewka, Markus Ulbricht:
Revisiting the Foundations of Abstract Argumentation - Semantics Based on Weak Admissibility and Weak Defense. 2742-2749 - Ringo Baumann, Dov M. Gabbay, Odinaldo Rodrigues:
Forgetting an Argument. 2750-2757 - David Carral, Jacopo Urbani:
Checking Chase Termination over Ontologies of Existential Rules with Equality. 2758-2765 - Dean Cazes, Meir Kalech:
Model-Based Diagnosis with Uncertain Observations. 2766-2773 - Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao:
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion. 2774-2781 - Gianluca Cima, Maurizio Lenzerini, Antonella Poggi:
Answering Conjunctive Queries with Inequalities in DL-Liteℛ. 2782-2789 - Marco Console, Maurizio Lenzerini:
Epistemic Integrity Constraints for Ontology-Based Data Management. 2790-2797 - Luís Cruz-Filipe, Isabel Nunes, Graça Gaspar:
Hypothetical Answers to Continuous Queries over Data Streams. 2798-2805 - Giuseppe De Giacomo, Yves Lespérance, Eugenia Ternovska:
ElGolog: A High-Level Programming Language with Memory of the Execution History. 2806-2813 - Alexander Feldman, Ingo Pill, Franz Wotawa, Ion Matei, Johan de Kleer:
Efficient Model-Based Diagnosis of Sequential Circuits. 2814-2821 - Adrian Haret, Martin Lackner, Andreas Pfandler, Johannes Peter Wallner:
Proportional Belief Merging. 2822-2829 - Markus Hecher, Michael Morak, Stefan Woltran:
Structural Decompositions of Epistemic Logic Programs. 2830-2837 - Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang:
Going Deep: Graph Convolutional Ladder-Shape Networks. 2838-2845 - Anthony Hunter, Kawsar Noor:
Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation. 2846-2853 - Jean Christoph Jung, Carsten Lutz, Frank Wolter:
Least General Generalizations in Description Logic: Verification and Existence. 2854-2861 - Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Ian Horrocks:
Complexity and Expressive Power of Disjunction and Negation in Limit Datalog. 2862-2869 - Caleb Kisby, Saúl A. Blanco, Alex Kruckman, Lawrence S. Moss:
Logics for Sizes with Union or Intersection. 2870-2876 - Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. 2877-2885 - Jian Li, Yongmei Liu:
Automatic Verification of Liveness Properties in the Situation Calculus. 2886-2892 - Weiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova:
Path Ranking with Attention to Type Hierarchies. 2893-2900 - Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang:
K-BERT: Enabling Language Representation with Knowledge Graph. 2901-2908 - Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Explanations for Inconsistency-Tolerant Query Answering under Existential Rules. 2909-2916 - Sanja Lukumbuzya, Magdalena Ortiz, Mantas Simkus:
Resilient Logic Programs: Answer Set Programs Challenged by Ontologies. 2917-2924 - Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi:
Commonsense Knowledge Base Completion with Structural and Semantic Context. 2925-2933 - Pavel Naumov, Jia Tao:
Blameworthiness in Security Games. 2934-2941 - Andreas Niskanen, Daniel Neugebauer, Matti Järvisalo, Jörg Rothe:
Deciding Acceptance in Incomplete Argumentation Frameworks. 2942-2949 - Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang:
Rule-Guided Compositional Representation Learning on Knowledge Graphs. 2950-2958 - Ana Ozaki, Cosimo Persia, Andrea Mazzullo:
Learning Query Inseparable εℒℋ Ontologies. 2959-2966 - Aditya Paliwal, Sarah M. Loos, Markus N. Rabe, Kshitij Bansal, Christian Szegedy:
Graph Representations for Higher-Order Logic and Theorem Proving. 2967-2974 - Giuseppe Pirrò:
Relatedness and TBox-Driven Rule Learning in Large Knowledge Bases. 2975-2982 - Yakoub Salhi:
A Framework for Measuring Information Asymmetry. 2983-2990 - Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi:
Adversarial Deep Network Embedding for Cross-Network Node Classification. 2991-2999 - George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos:
Contextual Parameter Generation for Knowledge Graph Link Prediction. 3000-3008 - Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar:
InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions. 3009-3016 - Hai Wan, Guohui Xiao, Chenglin Wang, Xianqiao Liu, Junhong Chen, Zhe Wang:
Query Answering with Guarded Existential Rules under Stable Model Semantics. 3017-3024 - Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie:
COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment. 3025-3032 - Bruno Yun, Srdjan Vesic, Madalina Croitoru:
Ranking-Based Semantics for Sets of Attacking Arguments. 3033-3040 - Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:
Few-Shot Knowledge Graph Completion. 3041-3048 - Heng Zhang, Yan Zhang, Jia-Huai You, Zhiyong Feng, Guifei Jiang:
Towards Universal Languages for Tractable Ontology Mediated Query Answering. 3049-3056 - Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Heng Zhang, Xuanxing Yang, Zhiyong Feng:
On the Expressivity of ASK Queries in SPARQL. 3057-3064 - Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang:
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. 3065-3072 - Yizheng Zhao, Renate A. Schmidt, Yuejie Wang, Xuanming Zhang, Hao Feng:
A Practical Approach to Forgetting in Description Logics with Nominals. 3073-3079 - Sen Zheng, Renate A. Schmidt:
Deciding the Loosely Guarded Fragment and Querying Its Horn Fragment Using Resolution. 3080-3087 - Shufang Zhu, Giuseppe De Giacomo, Geguang Pu, Moshe Y. Vardi:
LTLƒ Synthesis with Fairness and Stability Assumptions. 3088-3095
AAAI Technical Track: Machine Learning
- Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. 3097-3104 - Afshin Abdi, Faramarz Fekri:
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning. 3105-3112 - Afshin Abdi, Faramarz Fekri:
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning. 3113-3120 - Shady Abu Hussein, Tom Tirer, Raja Giryes:
Image-Adaptive GAN Based Reconstruction. 3121-3129 - Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan:
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. 3130-3137 - Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems. 3138-3145 - Gaël Aglin, Siegfried Nijssen, Pierre Schaus:
Learning Optimal Decision Trees Using Caching Branch-and-Bound Search. 3146-3153 - Faruk Ahmed, Aaron C. Courville:
Detecting Semantic Anomalies. 3154-3162 - Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda:
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm. 3163-3170 - Albert Akhriev, Jakub Marecek, Andrea Simonetto:
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise. 3171-3178 - Ehsan Amid, Manfred K. Warmuth:
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint. 3179-3186 - Gabriel Appleby, Linfeng Liu, Liping Liu:
Kriging Convolutional Networks. 3187-3194 - Florent Avellaneda:
Efficient Inference of Optimal Decision Trees. 3195-3202 - Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. 3203-3210 - Liang Bai, Jiye Liang:
A Three-Level Optimization Model for Nonlinearly Separable Clustering. 3211-3218 - Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang:
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. 3219-3226 - Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees. 3227-3234 - Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein:
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. 3235-3242 - Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. 3242-3249 - Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky:
Exploratory Combinatorial Optimization with Reinforcement Learning. 3243-3250 - Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian:
Event-Driven Continuous Time Bayesian Networks. 3259-3266 - Chao Bian, Chao Feng, Chao Qian, Yang Yu:
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints. 3267-3274 - Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtárik:
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. 3275-3282 - Cristian Bodnar, Ben Day, Pietro Lió:
Proximal Distilled Evolutionary Reinforcement Learning. 3283-3290 - Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener:
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis. 3291-3299 - Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. 3300-3307 - Lei Cai, Shuiwang Ji:
A Multi-Scale Approach for Graph Link Prediction. 3308-3315 - Qingpeng Cai, Ling Pan, Pingzhong Tang:
Deterministic Value-Policy Gradients. 3316-3323 - Chris Cameron, Rex Chen, Jason S. Hartford, Kevin Leyton-Brown:
Predicting Propositional Satisfiability via End-to-End Learning. 3324-3331 - Gregory Canal, Stefano Fenu, Christopher Rozell:
Active Ordinal Querying for Tuplewise Similarity Learning. 3332-3340 - Junyu Cao, Wei Sun, Zuo-Jun Max Shen, Markus Ettl:
Fatigue-Aware Bandits for Dependent Click Models. 3341-3348 - Yuan Cao, Quanquan Gu:
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks. 3349-3356 - Abdulkadir Çelikkanat, Fragkiskos D. Malliaros:
Exponential Family Graph Embeddings. 3357-3364 - Shayok Chakraborty:
Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles. 3365-3372 - Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas:
Lifelong Learning with a Changing Action Set. 3373-3380 - Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas:
Reinforcement Learning When All Actions Are Not Always Available. 3381-3388 - Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang:
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. 3389-3396 - Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi:
Robust Data Programming with Precision-guided Labeling Functions. 3397-3404 - Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet:
A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories. 3405-3413 - Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li:
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. 3414-3421 - Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua:
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation. 3422-3429 - Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen:
Online Knowledge Distillation with Diverse Peers. 3430-3437 - Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. 3438-3445 - Huangxun Chen, Chenyu Huang, Qianyi Huang, Qian Zhang, Wei Wang:
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System. 3446-3453 - Jianbo Chen, Michael I. Jordan:
LS-Tree: Model Interpretation When the Data Are Linguistic. 3454-3461 - Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Generative Adversarial Networks for Video-to-Video Domain Adaptation. 3462-3469 - Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. 3470-3477 - Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung:
Variational Metric Scaling for Metric-Based Meta-Learning. 3478-3485 - Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu:
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. 3486-3494 - Junxiang Chen, Kayhan Batmanghelich:
Weakly Supervised Disentanglement by Pairwise Similarities. 3495-3502 - Li Cheng, Yijie Wang, Xinwang Liu, Bin Li:
Outlier Detection Ensemble with Embedded Feature Selection. 3503-3512 - Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-View Clustering in Latent Embedding Space. 3513-3520 - Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai:
Adversarial-Learned Loss for Domain Adaptation. 3521-3528 - Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng:
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting. 3529-3536 - Xu Chen, Brett Wujek:
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection. 3537-3544 - Yiding Chen, Xiaojin Zhu:
Optimal Attack against Autoregressive Models by Manipulating the Environment. 3545-3552 - Ze-Sen Chen, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang:
Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation. 3553-3560 - Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du:
Compressed Self-Attention for Deep Metric Learning. 3561-3568 - Yanbei Chen, Xiatian Zhu, Wei Li, Shaogang Gong:
Semi-Supervised Learning under Class Distribution Mismatch. 3569-3576 - An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun:
InstaNAS: Instance-Aware Neural Architecture Search. 3577-3584 - Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
Distilling Portable Generative Adversarial Networks for Image Translation. 3585-3592 - Jiezhu Cheng, Kaizhu Huang, Zibin Zheng:
Towards Better Forecasting by Fusing Near and Distant Future Visions. 3593-3600 - Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh:
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. 3601-3608 - Weiyu Cheng, Yanyan Shen, Linpeng Huang:
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. 3609-3616 - Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song:
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. 3617-3624 - Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra:
Suspicion-Free Adversarial Attacks on Clustering Algorithms. 3625-3632 - Silvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides:
A General Approach to Fairness with Optimal Transport. 3633-3640 - Eli Chien, Antonia M. Tulino, Jaime Llorca:
Active Learning in the Geometric Block Model. 3641-3648 - Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. 3649-3657 - Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori:
A Constraint-Based Approach to Learning and Explanation. 3658-3665 - Marissa Connor, Christopher Rozell:
Representing Closed Transformation Paths in Encoded Network Latent Space. 3666-3675 - Andrew Cropper:
Forgetting to Learn Logic Programs. 3676-3683 - Eric Crawford, Joelle Pineau:
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. 3684-3692 - Zijun Cui, Yong Zhang, Qiang Ji:
Label Error Correction and Generation through Label Relationships. 3693-3700 - Gal Dalal, Balázs Szörényi, Gugan Thoppe:
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. 3701-3708 - Sebastian Dalleiger, Jilles Vreeken:
Explainable Data Decompositions. 3709-3716 - Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong:
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. 3717-3724 - Marelie H. Davel, Marthinus W. Theunissen, Arnold M. Pretorius, Etienne Barnard:
DNNs as Layers of Cooperating Classifiers. 3725-3732 - Ian Davidson, S. S. Ravi:
Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights. 3733-3740 - Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves:
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. 3741-3748 - Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias:
Capsule Routing via Variational Bayes. 3749-3756 - Thomas Demeester:
System Identification with Time-Aware Neural Sequence Models. 3757-3764 - Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
Reinforcing Neural Network Stability with Attractor Dynamics. 3765-3772 - Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern:
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. 3773-3780 - Anish Dhir, Ciarán M. Lee:
Integrating Overlapping Datasets Using Bivariate Causal Discovery. 3781-3790 - Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He:
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. 3791-3800 - Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli:
Gradient-Aware Model-Based Policy Search. 3801-3808 - Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy:
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data. 3809-3816 - Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis:
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. 3817-3824 - Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover:
An Information-Theoretic Quantification of Discrimination with Exempt Features. 3825-3833 - Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar:
Unsupervised Metric Learning with Synthetic Examples. 3834-3841 - Jicong Fan, Yuqian Zhang, Madeleine Udell:
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. 3842-3849 - Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile:
Distributionally Robust Counterfactual Risk Minimization. 3850-3857 - Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning:
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. 3858-3865 - Peter Fenner, Edward Pyzer-Knapp:
Privacy-Preserving Gaussian Process Regression - A Modular Approach to the Application of Homomorphic Encryption. 3866-3873 - Valeria Fionda, Giuseppe Pirrò:
Learning Triple Embeddings from Knowledge Graphs. 3874-3881 - Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci:
Training Decision Trees as Replacement for Convolution Layers. 3882-3889 - Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. 3890-3897 - Claudio Gallicchio, Alessio Micheli:
Fast and Deep Graph Neural Networks. 3898-3905 - Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider:
On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank. 3906-3913 - Hongyang Gao, Lei Cai, Shuiwang Ji:
Adaptive Convolutional ReLUs. 3914-3921 - Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro:
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. 3922-3929 - Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang:
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. 3930-3937 - Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun:
Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis. 3938-3945 - Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei:
A Multi-Channel Neural Graphical Event Model with Negative Evidence. 3946-3953 - Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi:
Revisiting Bilinear Pooling: A Coding Perspective. 3954-3961 - Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta:
Improved Algorithms for Conservative Exploration in Bandits. 3962-3969 - Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan:
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. 3970-3979 - Maor Gaon, Ronen I. Brafman:
Reinforcement Learning with Non-Markovian Rewards. 3980-3987 - Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart:
Diachronic Embedding for Temporal Knowledge Graph Completion. 3988-3995 - Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein:
Adversarially Robust Distillation. 3996-4003 - Tieliang Gong, Quanhan Xi, Chen Xu:
Robust Gradient-Based Markov Subsampling. 4004-4011 - Xiuwen Gong, Dong Yuan, Wei Bao:
Online Metric Learning for Multi-Label Classification. 4012-4019 - Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi:
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. 4020-4027 - Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon:
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. 4028-4035 - Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr., Timothy Y. Hu, Joseph Palombo, Michael Liston, Yingbin Liang:
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. 4036-4043 - Hongyu Guo:
Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification. 4044-4051 - Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie:
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience. 4052-4059 - Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. 4060-4066 - Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. 4067-4074 - Yufei Han, Xiangliang Zhang:
Robust Federated Learning via Collaborative Machine Teaching. 4075-4082 - Frederik Harder, Matthias Bauer, Mijung Park:
Interpretable and Differentially Private Predictions. 4083-4090 - Tao He, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang, Yuanfang Li:
SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation. 4091-4098 - Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao:
Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data. 4099-4106 - Masoumeh Heidari Kapourchali, Bonny Banerjee:
EPOC: Efficient Perception via Optimal Communication. 4107-4114 - Kyle Helfrich, Qiang Ye:
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory. 4115-4122 - Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. 4123-4131 - Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye:
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning. 4132-4139 - Zhiwei Hong, Xiaocheng Fan, Tao Jiang, Jianxing Feng:
End-to-End Unpaired Image Denoising with Conditional Adversarial Networks. 4140-4149 - Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos:
TellTail: Fast Scoring and Detection of Dense Subgraphs. 4150-4157 - Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Tyng-Luh Liu:
Query-Driven Multi-Instance Learning. 4158-4165 - Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang:
Towards Interpretation of Pairwise Learning. 4166-4173 - Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen:
DWM: A Decomposable Winograd Method for Convolution Acceleration. 4174-4181 - Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang:
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. 4182-4189 - Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang:
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks. 4190-4197 - Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li:
Meta-Learning PAC-Bayes Priors in Model Averaging. 4198-4205 - Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang:
DIANet: Dense-and-Implicit Attention Network. 4206-4214 - Binyuan Hui, Pengfei Zhu, Qinghua Hu:
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning. 4215-4222 - Xuan Huo, Ming Li, Zhi-Hua Zhou:
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization. 4223-4230 - Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
Word-Level Contextual Sentiment Analysis with Interpretability. 4231-4238 - Tomoharu Iwata, Akinori Fujino, Naonori Ueda:
Semi-Supervised Learning for Maximizing the Partial AUC. 4239-4246 - Tomoharu Iwata, Naoki Marumo:
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information. 4247-4254 - Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac:
Class Prior Estimation with Biased Positives and Unlabeled Examples. 4255-4263 - Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford:
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. 4264-4271 - Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan:
Invariant Representations through Adversarial Forgetting. 4272-4279 - Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh:
Bounding Regret in Empirical Games. 4280-4287 - Giyoung Jeon, Haedong Jeong, Jaesik Choi:
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. 4288-4295 - Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon:
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets. 4296-4303 - Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. 4304-4311 - Bin-Bin Jia, Min-Ling Zhang:
Maximum Margin Multi-Dimensional Classification. 4312-4319 - Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. 4320-4327 - Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare:
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction. 4328-4336 - Jiechuan Jiang, Zongqing Lu:
Generative Exploration and Exploitation. 4337-4344 - Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi:
Long Short-Term Sample Distillation. 4345-4352 - Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud:
Rank Aggregation via Heterogeneous Thurstone Preference Models. 4353-4360 - Yilun Jin, Guojie Song, Chuan Shi:
GraLSP: Graph Neural Networks with Local Structural Patterns. 4361-4368 - Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen:
Dynamic Instance Normalization for Arbitrary Style Transfer. 4369-4376 - Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. 4377-4384 - Brendan Juba, Hengxuan Li:
More Accurate Learning of k-DNF Reference Classes. 4385-4393 - Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi:
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks. 4394-4403 - Minsoo Kang, Jonghwan Mun, Bohyung Han:
Towards Oracle Knowledge Distillation with Neural Architecture Search. 4404-4411 - Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu:
Large-Scale Multi-View Subspace Clustering in Linear Time. 4412-4419 - Nikos Kargas, Nicholas D. Sidiropoulos:
Nonlinear System Identification via Tensor Completion. 4420-4427 - Hiroshi Kera, Yoshihiko Hasegawa:
Gradient Boosts the Approximate Vanishing Ideal. 4428-4435 - Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill:
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy. 4436-4443 - Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup:
Options of Interest: Temporal Abstraction with Interest Functions. 4444-4451 - Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe:
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks. 4452-4459 - Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan:
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains. 4460-4468 - Shumin Kong, Tianyu Guo, Shan You, Chang Xu:
Learning Student Networks with Few Data. 4469-4476 - Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. 4477-4484 - Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li:
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. 4485-4492 - Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt:
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. 4493-4500 - Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly:
Google Research Football: A Novel Reinforcement Learning Environment. 4501-4510 - Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Correcting Predictions for Approximate Bayesian Inference. 4511-4518 - Zijian Lei, Liang Lan:
Improved Subsampled Randomized Hadamard Transform for Linear SVM. 4519-4526 - Sören Laue, Matthias Mitterreiter, Joachim Giesen:
A Simple and Efficient Tensor Calculus. 4527-4534 - Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or:
Proximity Preserving Binary Code Using Signed Graph-Cut. 4535-4544 - Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim:
Residual Neural Processes. 4545-4552 - Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim:
Residual Continual Learning. 4553-4560 - Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim:
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients. 4561-4568 - Sang-Ho Lee, Simyung Chang, Nojun Kwak:
URNet: User-Resizable Residual Networks with Conditional Gating Module. 4569-4576 - Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar:
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. 4577-4584 - Alexander Levine, Soheil Feizi:
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. 4585-4593 - Dung D. Le, Hady W. Lauw:
Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval. 4594-4601 - Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao:
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling. 4602-4609 - Diangang Li, Xing Wei, Xiaopeng Hong, Yihong Gong:
Infrared-Visible Cross-Modal Person Re-Identification with an X Modality. 4610-4617 - Jian Li, Yong Liu, Weiping Wang:
Automated Spectral Kernel Learning. 4618-4625 - Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song:
Graph Attention Based Proposal 3D ConvNets for Action Detection. 4626-4633 - Mingming Li, Shuai Zhang, Fuqing Zhu, Wanhui Qian, Liangjun Zang, Jizhong Han, Songlin Hu:
Symmetric Metric Learning with Adaptive Margin for Recommendation. 4634-4641 - Qinbin Li, Zeyi Wen, Bingsheng He:
Practical Federated Gradient Boosting Decision Trees. 4642-4649 - Shenglan Li, Qiang Yu:
New Efficient Multi-Spike Learning for Fast Processing and Robust Learning. 4650-4657 - Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold. 4658-4666 - Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang:
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. 4667-4674 - Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung:
Stochastic Online Learning with Probabilistic Graph Feedback. 4675-4682 - Shuheng Li, Dezhi Hong, Hongning Wang:
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning. 4683-4690 - Shu Li, Wen-Tao Li, Wei Wang:
Co-GCN for Multi-View Semi-Supervised Learning. 4691-4698 - Tianbo Li, Yiping Ke:
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks. 4699-4706 - Wei Li, Shaogang Gong, Xiatian Zhu:
Neural Graph Embedding for Neural Architecture Search. 4707-4714 - Xiang Li, Shuo Chen, Jian Yang:
Understanding the Disharmony between Weight Normalization Family and Weight Decay. 4715-4722 - Xiang Li, Shusen Wang, Zhihua Zhang:
Do Subsampled Newton Methods Work for High-Dimensional Data? 4723-4730 - Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng:
FlowScope: Spotting Money Laundering Based on Graphs. 4731-4738 - Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu:
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. 4739-4746 - Xiaoyun Li, Chengxi Wu, Ping Li:
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. 4747-4754 - Yang Li, Tianxiang Gao, Junier Oliva:
A Forest from the Trees: Generation through Neighborhoods. 4755-4762 - Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui:
Efficient Automatic CASH via Rising Bandits. 4763-4771 - Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang:
Learning Signed Network Embedding via Graph Attention. 4772-4779 - Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang:
RTN: Reparameterized Ternary Network. 4780-4787 - Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan:
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework. 4788-4795 - Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang:
Adaptive Two-Dimensional Embedded Image Clustering. 4796-4803 - Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung:
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction. 4804-4810 - Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar:
LMLFM: Longitudinal Multi-Level Factorization Machine. 4811-4818 - Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. 4819-4827 - Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang:
Differentiable Algorithm for Marginalising Changepoints. 4828-4835 - Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal:
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. 4836-4843 - Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens:
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. 4844-4851 - Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang:
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. 4852-4859 - Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang:
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. 4860-4867 - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Attribute Propagation Network for Graph Zero-Shot Learning. 4868-4875 - Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. 4876-4883 - Qingliang Liu, Jinmei Lai:
Stochastic Loss Function. 4884-4891 - Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray:
An ADMM Based Framework for AutoML Pipeline Configuration. 4892-4899 - Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao:
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. 4900-4907 - Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu:
Weighted-Sampling Audio Adversarial Example Attack. 4908-4915 - Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao:
Independence Promoted Graph Disentangled Networks. 4916-4923 - Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian:
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. 4924-4931 - Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang:
Diversified Interactive Recommendation with Implicit Feedback. 4932-4939 - Yongshuai Liu, Jiaxin Ding, Xin Liu:
IPO: Interior-Point Policy Optimization under Constraints. 4940-4947 - Yuejiang Liu, Parth Kothari, Alexandre Alahi:
Collaborative Sampling in Generative Adversarial Networks. 4948-4956 - Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang:
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. 4957-4964 - Zhenguang Liu, Sihao Hu, Yifang Yin, Jianhai Chen, Kevin Chiew, Luming Zhang, Zetian Wu:
Interactive Rare-Category-of-Interest Mining from Large Datasets. 4965-4972 - Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He:
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. 4973-4980 - Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen:
Incentivized Exploration for Multi-Armed Bandits under Reward Drift. 4981-4988 - Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov:
Structured Sparsification of Gated Recurrent Neural Networks. 4989-4996 - Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song:
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. 4997-5004 - You Lu, Bert Huang:
Structured Output Learning with Conditional Generative Flows. 5005-5012 - Chien Lu, Jaakko Peltonen:
Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid. 5013-5020 - Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang:
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks. 5021-5028 - You-Wei Luo, Chuan-Xian Ren, Pengfei Ge, Ke-Kun Huang, Yu-Feng Yu:
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment. 5029-5036 - Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. 5037-5044 - Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates:
Memory Augmented Graph Neural Networks for Sequential Recommendation. 5045-5052 - Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Inefficiency of K-FAC for Large Batch Size Training. 5053-5060 - Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell:
Temporal Pyramid Recurrent Neural Network. 5061-5068 - Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell:
Adversarial Dynamic Shapelet Networks. 5069-5076 - Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. 5077-5084 - Kurt Wan-Duo Ma, J. P. Lewis, W. Bastiaan Kleijn:
The HSIC Bottleneck: Deep Learning without Back-Propagation. 5085-5092 - Wenye Ma:
Projective Quadratic Regression for Online Learning. 5093-5100 - Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. 5101-5108 - Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu:
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance. 5109-5116 - Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. 5117-5124 - Marlos C. Machado, Marc G. Bellemare, Michael Bowling:
Count-Based Exploration with the Successor Representation. 5125-5133 - Thomas Magelinski, David M. Beskow, Kathleen M. Carley:
Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection. 5134-5141 - Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni:
Learning Agent Communication under Limited Bandwidth by Message Pruning. 5142-5149 - Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou:
Multi-Zone Unit for Recurrent Neural Networks. 5150-5157 - Rang Meng, Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu:
Neural Inheritance Relation Guided One-Shot Layer Assignment Search. 5158-5165 - Liang Mi, Wen Zhang, Yalin Wang:
Regularized Wasserstein Means for Aligning Distributional Data. 5166-5173 - Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant:
Deep Embedded Non-Redundant Clustering. 5174-5181 - Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette:
Differentiable Reasoning on Large Knowledge Bases and Natural Language. 5182-5190 - Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh:
Improved Knowledge Distillation via Teacher Assistant. 5191-5198 - Siddharth Mitra, Aditya Gopalan:
On Adaptivity in Information-Constrained Online Learning. 5199-5206 - Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz:
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. 5207-5215 - Sina Mohseni, Mandar Pitale, J. B. S. Yadawa, Zhangyang Wang:
Self-Supervised Learning for Generalizable Out-of-Distribution Detection. 5216-5223 - Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini:
Learning Weighted Model Integration Distributions. 5224-5231 - Mirco Mutti, Marcello Restelli:
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies. 5232-5239 - Atsuyoshi Nakamura, Ichigaku Takigawa, Hiroshi Mamitsuka:
Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String. 5240-5247