Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation

1 code implementation • 7 Mar 2024 • Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang

Recently, because of the high-quality representations of contrastive learning methods, rehearsal-based contrastive continual learning has been proposed to explore how to continually learn transferable representation embeddings to avoid the catastrophic forgetting issue in traditional continual settings.

Continual Learning Contrastive Learning +2