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cs.LG2026
Elastic Weight Consolidation Done Right for Continual Learning
Xuan Liu, Xiaobin Chang
Weight regularization methods in continual learning (CL) alleviate catastrophic forgetting by assessing and penalizing changes to important model weights. Elastic Weight Consolidat…
cs.LG2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu, Xiaobin Chang
In continual learning (CL), catastrophic forgetting often arises due to feature drift. This challenge is particularly prominent in the exemplar-free continual learning (EFCL) setti…