Learning-Deep-Learning

Pruning Filters for Efficient ConvNets

May 2019

tl;dr: Pruning filters instead of sparsely pruning weight for efficient inference.

Overall impression

This is one of the first paper in model pruning (with ~400 citation as of 05/21/2019, and ~800 as of 05/17/2020).

Key ideas

Technical details

Notes