Prospective Representation Learning for Non-Exemplar Class-Incremental Learning

Neural Information Processing Systems 

Non-exemplar class-incremental learning (NECIL) is a challenging task that requires recognizing both old and new classes without retaining any old class samples. Current works mainly deal with the conflicts between old and new classes retrospectively as a new task comes in.

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