most citedTake Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning

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cs.CV2025

Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors

Haodong Lu, Xinyu Zhang, Kristen Moore +4

Continual learning (CL) enables deep networks to acquire new knowledge while avoiding catastrophic forgetting. The powerful generalization ability of pre-trained models (PTMs), suc…

cs.CV2024★ 1 cited

Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning

Haodong Lu, Chongyang Zhao, Minhui Xue +3

The central tension in continual learning (CL) is the trade-off between plasticity (acquiring new knowledge) and stability (retaining prior knowledge). We study how a pre-trained b…