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Zhouchen Lin

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DIGIC: Domain Generalizable Imitation Learning by Causal Discovery

Feb 29, 2024
Yang Chen, Yitao Liang, Zhouchen Lin

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Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks

Feb 19, 2024
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin

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On the $O(\frac{\sqrt{d}}{T^{1/4}})$ Convergence Rate of RMSProp and Its Momentum Extension Measured by $\ell_1$ Norm: Better Dependence on the Dimension

Feb 01, 2024
Huan Li, Zhouchen Lin

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Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective

Oct 30, 2023
Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang

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Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure

Oct 09, 2023
Haotong Yang, Fanxu Meng, Zhouchen Lin, Muhan Zhang

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CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity

Sep 23, 2023
Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-chun Zhu

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ShadowNet for Data-Centric Quantum System Learning

Aug 22, 2023
Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao

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Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants

Aug 03, 2023
Yibo Yang, Haobo Yuan, Xiangtai Li, Jianlong Wu, Lefei Zhang, Zhouchen Lin, Philip Torr, Dacheng Tao, Bernard Ghanem

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Task-Robust Pre-Training for Worst-Case Downstream Adaptation

Jul 05, 2023
Jianghui Wang, Yang Chen, Xingyu Xie, Cong Fang, Zhouchen Lin

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