Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks

1 October 2018

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

12 / 12 papers shown

Title
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning Danyang Liu Xue Liu 28 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 38 2 0 13 Aug 2022
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration Jun Shi Jianfeng Xu K. Tasaka Zhibo Chen 6 25 0 12 Mar 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 31 50 0 14 Jan 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 25 1,423 0 02 Aug 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 24 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 24 53 0 28 May 2019
Dynamic Neural Network Channel Execution for Efficient Training Simeon E. Spasov Pietro Lio 19 4 0 15 May 2019
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices Xiaofang Xu M. Park C. Brick 20 26 0 01 Nov 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 10 1,452 0 11 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression Elliot J. Crowley Jack Turner Amos Storkey Michael F. P. O'Boyle 3DPC 29 31 0 10 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 90 516 0 09 Apr 2018