IEEE

Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning

Abstract: Few-shot class incremental learning (FSCIL) enables the continual learning of new concepts with only a few training examples. In FSCIL, the model undergoes substantial updates, making it ...
IEEE

Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning

Abstract: Class-Incremental Learning (CIL) enables models to continuously learn new classes while mitigating catastrophic forgetting. Recently, Pre-Trained Models (PTMs) have greatly enhanced CIL ...