Bartosz Krawczyk

An innovative framework that integrates feature transport into the training process, achieving superior performance in class-incremental learning without exemplars.

Superposition in continual learning doesn't always lead to forgetting; instead, strong representations can mitigate memory loss even in sparse settings.

Bidirectional alignment can dramatically reduce catastrophic forgetting in class-incremental learning by ensuring consistent representation across tasks.