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• Going Deeper With Directly-Trained Larger Spiking Neural Networks

  Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li

  11062-11070

  2021-05-18

• Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion

  Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang

  11071-11078

  2021-05-18

• How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?

  Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

  11079-11087

  2021-05-18

• Multi-task Learning by Leveraging the Semantic Information

  Fan Zhou, Brahim Chaib-draa, Boyu Wang

  11088-11096

  2021-05-18

• MetaAugment: Sample-Aware Data Augmentation Policy Learning

  Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

  11097-11105

  2021-05-18

• Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

  Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

  11106-11115

  2021-05-18

• Inverse Reinforcement Learning with Natural Language Goals

  Li Zhou, Kevin Small

  11116-11124

  2021-05-18

• Tri-level Robust Clustering Ensemble with Multiple Graph Learning

  Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li

  11125-11133

  2021-05-18

• Fairness in Forecasting and Learning Linear Dynamical Systems

  Quan Zhou, Jakub Marecek, Robert N. Shorten

  11134-11142

  2021-05-18

• Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance

  Shibo Zhou, Xiaohua Li, Ying Chen, Sanjeev T. Chandrasekaran, Arindam Sanyal

  11143-11151

  2021-05-18

• Local Differential Privacy for Bayesian Optimization

  Xingyu Zhou, Jian Tan

  11152-11159

  2021-05-18

• A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments

  Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, An-Xiang Zeng

  11160-11167

  2021-05-18

• Graph Neural Networks with Heterophily

  Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra

  11168-11176

  2021-05-18

• Bias and Variance of Post-processing in Differential Privacy

  Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto

  11177-11184

  2021-05-18

• Self-correcting Q-learning

  Rong Zhu, Mattia Rigotti

  11185-11192

  2021-05-18

• An Efficient Algorithm for Deep Stochastic Contextual Bandits

  Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

  11193-11201

  2021-05-18

• Variational Fair Clustering

  Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed

  11202-11209

  2021-05-18

• Learning Task-Distribution Reward Shaping with Meta-Learning

  Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

  11210-11218

  2021-05-18

• Improving Continuous-time Conflict Based Search

  Anton Andreychuk, Konstantin Yakovlev, Eli Boyarski, Roni Stern

  11220-11227

  2021-05-18

• Inference-Based Deterministic Messaging For Multi-Agent Communication

  Varun Bhatt, Michael Buro

  11228-11236

  2021-05-18

• Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances

  Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian C. Williams

  11237-11245

  2021-05-18

• Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search

  Taoan Huang, Sven Koenig, Bistra Dilkina

  11246-11253

  2021-05-18

• The Influence of Memory in Multi-Agent Consensus

  David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira, Marcelo Matheus Gauy, Peter McBurney

  11254-11262

  2021-05-18

• Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory

  Stefanos Leonardos, Georgios Piliouras

  11263-11271

  2021-05-18

• Lifelong Multi-Agent Path Finding in Large-Scale Warehouses

  Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig

  11272-11281

  2021-05-18