2019
Compacting, Picking and Growing for Unforgetting Continual Learning
NeurIPS 2019poster
Continual lifelong learning is essential to many applications. In this paper, we propose a simple but effective approach to continual deep learning. Our approach leverages the principles of deep model compression, critical weights selection, and progressive networks expansion. By enforcing their int…