Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning-Reference-Cited by-同舟云学术

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning

Author:

Wang Zhenyi¹^ORCID,Shen Li²^ORCID,Duan Tiehang³^ORCID,Suo Qiuling⁴^ORCID,Fang Le⁴^ORCID,Liu Wei⁵^ORCID,Gao Mingchen⁴^ORCID

Affiliation:

1. Department of Computer Science, University of Maryland, College Park, MD, USA

2. JD Explore Academy, Beijing, China

3. Meta Inc, Palo Alto, CA, USA

4. Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA

5. Tencent Data Platform, Shenzhen, China

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference68 articles.

2. Memory replay with data compression for continual learning;wang;Proc Int Conf Learn Representations,2022

3. CPR: Classifier-projection regularization for continual learning;cha;Proc Int Conf Learn Representations,2021

4. Variational inference with tail-adaptive f-divergence;wang;Proc Adv Neural Inf Process Syst,2018

5. Continual learning with tiny episodic memories;chaudhry,2019

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