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Towards understanding memory buffer based continual learning
DOI:10.1016/j.neunet.2025.108522.png)
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.
Journal
IF:
6.3
Papers:
8.2K
Citations:
3.0W

