Fine-Grained Analysis of Catastrophic Forgetting in Continual Learning via Algorithmic Stability
Understanding catastrophic forgetting, in which learning new tasks degrades performance on previously learned tasks, remains a fundamental challenge in continual learning (CL). Existing theoretical analyses often rely on specific model or task structures and offer limited insight into how iterative optimization affects...
Guo-Dong Zheng, Y. Sun, Peng Wang et al.
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