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• A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method

  Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian

  10842-10850

  2021-05-18

• CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting

  Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras

  10851-10858

  2021-05-18

• Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework

  Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li

  10859-10867

  2021-05-18

• Efficient Folded Attention for Medical Image Reconstruction and Segmentation

  Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

  10868-10876

  2021-05-18

• Interpreting Multivariate Shapley Interactions in DNNs

  Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang

  10877-10886

  2021-05-18

• Sample Efficient Reinforcement Learning with REINFORCE

  Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen Boyd

  10887-10895

  2021-05-18

• Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating

  Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang

  10896-10904

  2021-05-18

• Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning

  Shangtong Zhang, Bo Liu, Shimon Whiteson

  10905-10913

  2021-05-18

• Deep Wasserstein Graph Discriminant Learning for Graph Classification

  Tong Zhang, Yun Wang, Zhen Cui, Chuanwei Zhou, Baoliang Cui, Haikuan Huang, Jian Yang

  10914-10922

  2021-05-18

• Treatment Effect Estimation with Disentangled Latent Factors

  Weijia Zhang, Lin Liu, Jiuyong Li

  10923-10930

  2021-05-18

• Regret Bounds for Online Kernel Selection in Continuous Kernel Space

  Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen

  10931-10938

  2021-05-18

• The Sample Complexity of Teaching by Reinforcement on Q-Learning

  Xuezhou Zhang, Shubham Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu

  10939-10947

  2021-05-18

• Partial-Label and Structure-constrained Deep Coupled Factorization Network

  Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang

  10948-10955

  2021-05-18

• Memory-Gated Recurrent Networks

  Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang

  10956-10963

  2021-05-18

• Towards Enabling Learnware to Handle Unseen Jobs

  Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

  10964-10972

  2021-05-18

• Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning

  Zhen-Ru Zhang, Qian-Wen Zhang, Yunbo Cao, Min-Ling Zhang

  10973-10980

  2021-05-18

• Looking Wider for Better Adaptive Representation in Few-Shot Learning

  Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He

  10981-10989

  2021-05-18

• Distilling Localization for Self-Supervised Representation Learning

  Nanxuan Zhao, Zhirong Wu, Rynson W.H. Lau, Stephen Lin

  10990-10998

  2021-05-18

• Exploratory Machine Learning with Unknown Unknowns

  Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou

  10999-11006

  2021-05-18

• Efficient Classification with Adaptive KNN

  Puning Zhao, Lifeng Lai

  11007-11014

  2021-05-18

• Data Augmentation for Graph Neural Networks

  Tong Zhao, Yozen Liu, Leonardo Neves, Oliver Woodford, Meng Jiang, Neil Shah

  11015-11023

  2021-05-18

• Augmenting Policy Learning with Routines Discovered from a Single Demonstration

  Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum

  11024-11032

  2021-05-18

• Improved Consistency Regularization for GANs

  Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang

  11033-11041

  2021-05-18

• Flow-based Generative Models for Learning Manifold to Manifold Mappings

  Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

  11042-11052

  2021-05-18

• Meta Label Correction for Noisy Label Learning

  Guoqing Zheng, Ahmed Hassan Awadallah, Susan Dumais

  11053-11061

  2021-05-18