Filter Pruning based on Information Capacity and Independence

Xiaolong Tang, Shuo Ye, Yufeng Shi +3

Filter pruning has gained widespread adoption for the purpose of compressing and speeding up convolutional neural networks (CNNs). However, existing approaches are still far from p…