Preserving Fairness in Knowledge Transfer for Exemplar-Free Class-Incremental Learning via Semantic Propagation
As a paradigm in continual learning, class incremental learning (CIL) aims to assimilate tasks with mutually exclusive label spaces in sequence while preserving previously established knowledge. Mitigating forgetting in CIL fundamentally relies on transferring knowledge across tasks. A straightforward exemplar-based ap...