2021
Training Networks in Null Space of Feature Covariance for Continual Learning
CVPR 2021poster
In the setting of continual learning, a network is trained on a sequence of tasks, and suffers from catastrophic forgetting. To balance plasticity and stability of network in continual learning, in this paper, we propose a novel network training algorithm called Adam-NSCL, which sequentially optimiz…