AI RESEARCH
Task Switching Without Forgetting via Proximal Decoupling
arXiv CS.LG
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ArXi:2604.18857v1 Announce Type: new In continual learning, the primary challenge is to learn new information without forgetting old knowledge. A common solution addresses this trade-off through regularization, penalizing changes to parameters critical for previous tasks. In most cases, this regularization term is directly added to the