Continual Learning with Pre-Trained Models: A Survey

arXiv:2401.16386v2 Announce Type: replace
Abstract: Nowadays, real-world applications often face streaming data, which requires the learning system to absorb new knowledge as data evolves. Continual Learning (CL) aims to achieve this goal and meanwhile overcome the catastrophic forgetting of former knowledge when learning new ones. Typical CL methods build the model from scratch to grow with incoming data. However, the advent of the pre-trained model (PTM) era has sparked immense research interest, particularly in leveraging PTMs' robust representational capabilities. This …

arxiv continual cs.cv cs.lg pre-trained models survey type