NeurIPS 2020

Pruning neural networks without any data by iteratively conserving synaptic flow

Meta Review

This paper introduces synaptic saliency for deep network pruning which does not require any dataset. It provides interesting insights. on layer collapse. While there is overall appreciation of the results theoretically there are some concerns about the experiments. The authors have addressed some of the issues and contingent on their addressing the concerns one can recommend acceptance.