FormalizingtheGeneralization-ForgettingTrade-Off inContinualLearning
–Neural Information Processing Systems
In continual learning (CL), we incrementally adapt a model to learn tasks (defined according to the problem at hand) observed sequentially. CL has two main objectives: maintain long-term memory (remember previous tasks) and navigate new experiences continually (quickly adapt to newtasks).
Neural Information Processing Systems
Feb-9-2026, 21:32:12 GMT
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