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Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing


Mar 13, 2023
Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan

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CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning


Feb 21, 2023
Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang

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Theory on Forgetting and Generalization of Continual Learning


Feb 12, 2023
Sen Lin, Peizhong Ju, Yingbin Liang, Ness Shroff

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Algorithm Design for Online Meta-Learning with Task Boundary Detection


Feb 02, 2023
Daouda Sow, Sen Lin, Yingbin Liang, Junshan Zhang

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* Submitted for publication 

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Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer


Nov 01, 2022
Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

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* Published as a conference paper at NeurIPS 2022 

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TRGP: Trust Region Gradient Projection for Continual Learning


Feb 07, 2022
Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

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* Published as a conference paper at ICLR 2022 

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Model-Based Offline Meta-Reinforcement Learning with Regularization


Feb 07, 2022
Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang

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* Published as a conference paper at ICLR 2022 

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Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra


Feb 03, 2022
Liang Liao, Sen Lin, Lun Li, Xiuwei Zhang, Song Zhao, Yan Wang, Xinqiang Wang, Qi Gao, Jingyu Wang

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* Generalized matrix theory over a finite-dimensional commutative algebra with applications in image analysis 

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GROWN: GRow Only When Necessary for Continual Learning


Oct 03, 2021
Li Yang, Sen Lin, Junshan Zhang, Deliang Fan

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* 8 pages. arXiv admin note: text overlap with arXiv:2007.07617 by other authors 

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