BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method

23 Jan 2020Xiaolong MaZhengang LiYifan GongTianyun ZhangWei NiuZheng ZhanPu ZhaoJian TangXue LinBin RenYanzhi Wang

Accelerating DNN execution on various resource-limited computing platforms has been a long-standing problem. Prior works utilize l1-based group lasso or dynamic regularization such as ADMM to perform structured pruning on DNN models to leverage the parallel computing architectures... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper