Review for NeurIPS paper: Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning

Weaknesses: --- There are one technical error. The Ref [22] is not a dynamic pruning method as claimed in this paper. Ref [22] (Pattern recognition journal, not a arXiv preprint now) had a section devoted to explain how they achieved static pruning. It is, however, approriate to say that the approach in Ref [22] has inspired or been adopted by some dynamic pruning approach. For example, in tables 1 and 2 and subsequent figures, how are "sparsity" measured?