3 papers
cs.LG2022
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
Yang Yang, Zhiying Cui, Junjie Xu +3
Deep learning has shown its human-level performance in various applications. However, current deep learning models are characterised by catastrophic forgetting of old knowledge whe…
cs.CV2021
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Changhong Zhong, Zhiying Cui, Ruixuan Wang +1
Successful continual learning of new knowledge would enable intelligent systems to recognize more and more classes of objects. However, current intelligent systems often fail to co…
cs.CV2021
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
Zhuoyun Li, Changhong Zhong, Sijia Liu +2
Continual learning of new knowledge over time is one desirable capability for intelligent systems to recognize more and more classes of objects. Without or with very limited amount…