AI RESEARCH
No Forgetting Learning: Buffer-free Continual Learning Classification
arXiv CS.LG
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ArXi:2503.04638v3 Announce Type: replace Most Continual Learning (CL) methods maintain performance on earlier tasks by storing exemplars in a replay buffer, NFL decomposes the network into a shared backbone and task-specific heads, then applies a stepwise freezing protocol: new capabilities are first isolated, shared representations are adapted under knowledge distillation, and all components are jointly refined with dual soft-target anchoring.