Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks

1 October 2018

Papers citing "Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks"

9 / 9 papers shown

Title
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning Danyang Liu Xue Liu 20 0 0 24 Dec 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks Yihe Lu Ziyu Guan Yaming Yang Maoguo Gong Wei Zhao Kaiyuan Feng 32 2 0 13 Aug 2022
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration Jun Shi Jianfeng Xu K. Tasaka Zhibo Chen 4 25 0 12 Mar 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 27 50 0 14 Jan 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 17 1,418 0 02 Aug 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 16 6 0 12 Jun 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks Jiashi Li Q. Qi Jingyu Wang Ce Ge Yujian Betterest Li Zhangzhang Yue Haifeng Sun BDL CML 19 53 0 28 May 2019
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 8 1,449 0 11 Oct 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 90 515 0 09 Apr 2018