Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1811.01907
Cited By
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM
5 November 2018
David Cortes
Tianyun Zhang
Kaiqi Zhang
Jiayu Li
Jiaming Xie
Yun Liang
Sijia Liu
Xinyu Lin
Yanzhi Wang
MQ
Re-assign community
ArXiv
PDF
HTML
Papers citing
"A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM"
19 / 19 papers shown
Title
Progressive Weight Pruning of Deep Neural Networks using ADMM
Shaokai Ye
Tianyun Zhang
Kaiqi Zhang
Jiayu Li
Kaidi Xu
...
M. Fardad
Sijia Liu
Xiang Chen
Xinyu Lin
Yanzhi Wang
AI4CE
82
38
0
17 Oct 2018
StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs
Tianyun Zhang
Shaokai Ye
Kaiqi Zhang
Xiaolong Ma
Ning Liu
...
Jian Tang
Kaisheng Ma
Xue Lin
M. Fardad
Yanzhi Wang
50
50
0
29 Jul 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
Tianyun Zhang
Shaokai Ye
Kaiqi Zhang
Jian Tang
Wujie Wen
M. Fardad
Yanzhi Wang
46
435
0
10 Apr 2018
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai
Hongxu Yin
N. Jha
DD
70
234
0
06 Nov 2017
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Cong Leng
Hao Li
Shenghuo Zhu
Rong Jin
MQ
54
286
0
24 Jul 2017
Coordinating Filters for Faster Deep Neural Networks
W. Wen
Cong Xu
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
31
138
0
28 Mar 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
Liang Zhao
Siyu Liao
Yanzhi Wang
Zhe Li
Jian Tang
Victor Pan
Bo Yuan
63
61
0
01 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
380
1,050
0
10 Feb 2017
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
Tien-Ju Yang
Yu-hsin Chen
Vivienne Sze
3DV
76
738
0
16 Nov 2016
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo
Anbang Yao
Yurong Chen
59
1,056
0
16 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
114
2,331
0
12 Aug 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Shuchang Zhou
Yuxin Wu
Zekun Ni
Xinyu Zhou
He Wen
Yuheng Zou
MQ
95
2,080
0
20 Jun 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
189
11,135
0
14 Mar 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han
Xingyu Liu
Huizi Mao
Jing Pu
A. Pedram
M. Horowitz
W. Dally
104
2,453
0
04 Feb 2016
Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani
Tara N. Sainath
Sanjiv Kumar
54
240
0
06 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
203
8,793
0
01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
247
6,628
0
08 Jun 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
857
149,474
0
22 Dec 2014
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
195
14,703
0
20 Jun 2014
1