Fast ConvNets Using Group-wise Brain Damage

v1v2 (latest)

Fast ConvNets Using Group-wise Brain Damage

8 June 2015

Victor Lempitsky

ArXiv (abs)PDF HTML

Papers citing "Fast ConvNets Using Group-wise Brain Damage"

11 / 211 papers shown

Title
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 197 831 0 19 Jan 2017
Compact Deep Convolutional Neural Networks With Coarse Pruning S. Anwar Wonyong Sung 3DPC 65 55 0 30 Oct 2016
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets Manuel Amthor E. Rodner Joachim Denzler 110 17 0 10 Oct 2016
A scalable convolutional neural network for task-specified scenarios via knowledge distillation Mengnan Shi F. Qin QiXiang Ye Zhenjun Han Jianbin Jiao 25 5 0 19 Sep 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 204 3,708 0 31 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 231 2,346 0 12 Aug 2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning Jongsoo Park Sheng Li W. Wen P. T. P. Tang Hai Helen Li Yiran Chen Pradeep Dubey 142 184 0 04 Aug 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods Xiaojie Jin Xiao-Tong Yuan Jiashi Feng Shuicheng Yan 413 78 0 19 Jul 2016
Structured Pruning of Deep Convolutional Neural Networks S. Anwar Kyuyeon Hwang Wonyong Sung 155 749 0 29 Dec 2015
Quantized Convolutional Neural Networks for Mobile Devices Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng MQ 139 1,170 0 21 Dec 2015
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions Mikhail Figurnov Aizhan Ibraimova Dmitry Vetrov Pushmeet Kohli 78 137 0 30 Apr 2015