2026
CIP-Net: Continual Interpretable Prototype-based Network
AAAI 2026technical
Continual learning constrains models to learn new tasks over time without forgetting what they have already learned. A key challenge in this setting is catastrophic forgetting, where learning new information causes the model to lose its performance on previous tasks. Recently, explainable AI has bee