Slowing Down Forgetting in Continual Learning: Evidence from Manufacturing
This framework is the first to address catastrophic forgetting by leveraging models in CL as their own memory buffers by exploiting an implicit bias of gradient-based neural networks due to which these converge to margin maximization points.