Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning 事件

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning arXiv:2505.12239v2 Announce Type: replace-cross Abstract: In Continual Learning (CL), using a Pre-Trained Model (PTM) as the feature extractor has become a popular practice. Accompanied by analytic classifiers, the PTM-based methods have achieved state-of-the-art performance in CL, in pursuit of the non-forgetting goal. Meanwhile, actively forgetting specific knowledge acquired during the CL phase is a