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Towards understanding memory buffer based continual learning

delete2025-12-26
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PRE
AI
G
Guodong Zheng
P
Peng Wang
T
Tao Sun
沈力 cover
沈力 (Li Shen)
DOI:10.1016/j.neunet.2025.108522delete
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Abstract

Abstract

En 中文
• A theoretical framework for analyzing memory buffers in CL. • Theoretical analysis of forgetting & generalization in CL with buffers. • Identifies key conditions where buffers enhance CL performance. • Experimental validation using deep neural networks.

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Neural Networks cover
Neural Networks
IF:
6.3
Papers:
8.2K
Citations:
3.0W

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N
national university of defense technology
Scholars:
5.0K
Papers: 1.5K
Citations: 0
S
sun yat-sen university
Scholars:
1.9W
Papers: 6.4K
Citations: 14
H
Huazhong University of Science and Technology
Scholars:
4.5K
Papers: 1.4K
Citations: 65
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