CLiCK: Continual Learning Exploiting Intermediate Network Models With A Slack Class
We propose a continual learning (CL) method (called CLiCK), a hybrid of an architecture-based approach that increments a model when it detects that the dataset characteristics have changed nyx 22 brush significantly, and a rehearsal-based approach that exploits an episodic memory to store past dataset samples.The proposed CLiCK makes the final deci