Andy Bagdanov

Exemplar-free Continual Representation Learning via Learnable Drift Compensation

"Exemplar-free class-incremental learning using a backbone trained from scratch and starting from a small first task presents a significant challenge for continual representation learning. Prototype-based approaches, when continually updated, face the critical issue of semantic drift due to which th…