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Boosting Offline Reinforcement Learning via Data Rebalancing


Oct 17, 2022
Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan

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* 8 pages, 2 figures 

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Mutual Information Regularized Offline Reinforcement Learning


Oct 14, 2022
Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan

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* 15 pages 

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Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning


Jun 25, 2022
Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan

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* 17 pages, 4 figures 

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Deep Long-Tailed Learning: A Survey


Oct 09, 2021
Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng

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Refiner: Refining Self-attention for Vision Transformers


Jun 07, 2021
Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Yuan Li, Xiaojie Jin, Qibin Hou, Jiashi Feng

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DeepViT: Towards Deeper Vision Transformer


Apr 19, 2021
Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Zihang Jiang, Qibin Hou, Jiashi Feng

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Improving Generalization in Reinforcement Learning with Mixture Regularization


Oct 21, 2020
Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng

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* NeurIPS 2020 

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Few-shot Classification via Adaptive Attention


Aug 06, 2020
Zihang Jiang, Bingyi Kang, Kuangqi Zhou, Jiashi Feng

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* 11 pages, 4 figures 

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The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation


Jul 31, 2020
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng

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* LVIS 2019 challenge winner, performance significantly improved after challenge submission, accepted at ECCV 2019 

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