Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

no code implementations • 28 Apr 2022 • Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Wei-Shi Zheng, Ruixuan Wang

In this case, updating the intelligent system with data of new diseases would inevitably downgrade its performance on previously learned diseases.

Class Incremental Learning Image Classification +1

Discriminative Distillation to Reduce Class Confusion in Continual Learning

no code implementations • 11 Aug 2021 • Changhong Zhong, Zhiying Cui, Ruixuan Wang, Wei-Shi Zheng

Successful continual learning of new knowledge would enable intelligent systems to recognize more and more classes of objects.

Continual Learning Image Classification

Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors

no code implementations • 28 Apr 2021 • Zhuoyun Li, Changhong Zhong, Sijia Liu, Ruixuan Wang, Wei-Shi Zheng

In order to reduce the forgetting of particularly earlier learned old knowledge and improve the overall continual learning performance, we propose a simple yet effective fusion mechanism by including all the previously learned feature extractors into the intelligent model.

Continual Learning