NeurIPS 2020

Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning

Meta Review

This is an interesting paper that combines static and dynamic pruning of CNN channels, adding an RL agent into the loop is still able to provide an overall speed up in inference. The reviewers were concerned the paper did not describe how the hyperparameters were chosen and that the choice of action space was not optimal, thus the authors are encouraged to further clarify this in subsequent versions of the paper.