DAC: Data-free Automatic Acceleration of Convolutional Networks

20 December 2018

Papers citing "DAC: Data-free Automatic Acceleration of Convolutional Networks"

8 / 8 papers shown

Title
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 76 62 0 15 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 177 4,990 0 30 Jul 2018
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 201 2,525 0 19 Jul 2017
Coordinating Filters for Faster Deep Neural Networks W. Wen Cong Xu Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 43 138 0 28 Mar 2017
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields Zhe Cao Tomas Simon S. Wei Yaser Sheikh 3DH 149 6,541 0 24 Nov 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 274 11,151 0 14 Mar 2016
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 63 884 0 19 Dec 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 128 1,462 0 15 May 2014