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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).