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Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain
  Surgeon
v1v2 (latest)

Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon

22 May 2017
Xin Luna Dong
Shangyu Chen
Sinno Jialin Pan
ArXiv (abs)PDFHTML

Papers citing "Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon"

25 / 275 papers shown
Title
StructADMM: A Systematic, High-Efficiency Framework of Structured Weight
  Pruning for DNNs
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
128
52
0
29 Jul 2018
A novel channel pruning method for deep neural network compression
A novel channel pruning method for deep neural network compression
Yiming Hu
Siyang Sun
Jianquan Li
Xingang Wang
Qingyi Gu
107
68
0
29 May 2018
Multi-Task Zipping via Layer-wise Neuron Sharing
Multi-Task Zipping via Layer-wise Neuron Sharing
Xiaoxi He
Zimu Zhou
Lothar Thiele
MoMe
166
64
0
24 May 2018
Data-Dependent Coresets for Compressing Neural Networks with
  Applications to Generalization Bounds
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
Cenk Baykal
Lucas Liebenwein
Igor Gilitschenski
Dan Feldman
Daniela Rus
151
79
0
15 Apr 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction
  Method of Multipliers
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
171
446
0
10 Apr 2018
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees
Konstantinos Pitas
Mike Davies
P. Vandergheynst
48
2
0
12 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
643
3,686
0
09 Mar 2018
Re-Weighted Learning for Sparsifying Deep Neural Networks
Re-Weighted Learning for Sparsifying Deep Neural Networks
Igor Fedorov
Bhaskar D. Rao
32
1
0
05 Feb 2018
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
166
39
0
05 Feb 2018
EffNet: An Efficient Structure for Convolutional Neural Networks
EffNet: An Efficient Structure for Convolutional Neural Networks
Ido Freeman
L. Roese-Koerner
A. Kummert
154
102
0
19 Jan 2018
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai
Hongxu Yin
N. Jha
DD
126
242
0
06 Nov 2017
The Incredible Shrinking Neural Network: New Perspectives on Learning
  Representations Through The Lens of Pruning
The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning
Aditya Sharma
Nikolas Wolfe
Bhiksha Raj
73
19
0
16 Jan 2017
Net-Trim: Convex Pruning of Deep Neural Networks with Performance
  Guarantee
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi
Afshin Abdi
Nam H. Nguyen
Justin Romberg
137
16
0
16 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
388
3,804
0
31 Aug 2016
Dynamic Network Surgery for Efficient DNNs
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo
Anbang Yao
Yurong Chen
269
1,084
0
16 Aug 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding
  Methods
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
Xiaojie Jin
Xiao-Tong Yuan
Jiashi Feng
Shuicheng Yan
441
80
0
19 Jul 2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards
  Efficient Deep Architectures
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu
Rui Peng
Yu-Wing Tai
Chi-Keung Tang
150
910
0
12 Jul 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
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
349
11,283
0
14 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.1K
203,060
0
10 Dec 2015
Sparsifying Neural Network Connections for Face Recognition
Sparsifying Neural Network Connections for Face Recognition
Yi Sun
Xiaogang Wang
Xiaoou Tang
3DHCVBM
103
143
0
07 Dec 2015
Convolutional neural networks with low-rank regularization
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
205
475
0
19 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
416
6,977
0
08 Jun 2015
Compressing Deep Convolutional Networks using Vector Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
276
1,186
0
18 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
2.8K
103,032
0
04 Sep 2014
Predicting Parameters in Deep Learning
Predicting Parameters in Deep Learning
Misha Denil
B. Shakibi
Laurent Dinh
MarcÁurelio Ranzato
Nando de Freitas
OOD
415
1,348
0
03 Jun 2013
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