2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
CVPR 2025poster
Continual learning (CL) aims to continually accumulate knowledge from a non-stationary data stream without catastrophic forgetting of learned knowledge, requiring a balance between stability and adaptability. Relying on the generalizable representation in pre-trained models (PTMs), PTM-based CL meth…