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Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning
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 backbone can be continually updated to absorb new knowledge while preserving existing capabilities, via capacity control:
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