Accelerator-Aware Pruning for Convolutional Neural Networks

26 April 2018

Papers citing "Accelerator-Aware Pruning for Convolutional Neural Networks"

8 / 8 papers shown

Title
Effective Interplay between Sparsity and Quantization: From Theory to Practice Simla Burcu Harma Ayan Chakraborty Elizaveta Kostenok Danila Mishin Dongho Ha ... Martin Jaggi Ming Liu Yunho Oh Suvinay Subramanian Amir Yazdanbakhsh MQ 65 10 0 31 May 2024
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 189 2,513 0 19 Jul 2017
Structured Sparse Ternary Weight Coding of Deep Neural Networks for Efficient Hardware Implementations Yoonho Boo Wonyong Sung MQ 34 11 0 01 Jul 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks Huizi Mao Song Han Jeff Pool Wenshuo Li Xingyu Liu Yu Wang W. Dally 85 241 0 24 May 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 160 3,676 0 31 Aug 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 114 7,448 0 24 Feb 2016
Fast ConvNets Using Group-wise Brain Damage V. Lebedev Victor Lempitsky AAML 111 448 0 08 Jun 2015
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 183 14,703 0 20 Jun 2014