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Data-Driven Sparse Structure Selection for Deep Neural Networks

Data-Driven Sparse Structure Selection for Deep Neural Networks

5 July 2017
Zehao Huang
Naiyan Wang
ArXivPDFHTML

Papers citing "Data-Driven Sparse Structure Selection for Deep Neural Networks"

50 / 273 papers shown
Title
The Role of Regularization in Shaping Weight and Node Pruning Dependency
  and Dynamics
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
Yael Ben-Guigui
Jacob Goldberger
Tammy Riklin-Raviv
17
0
0
07 Dec 2020
Fine-Grained Dynamic Head for Object Detection
Fine-Grained Dynamic Head for Object Detection
Lin Song
Yanwei Li
Zhengkai Jiang
Zeming Li
Hongbin Sun
Jian-jun Sun
N. Zheng
ObjD
19
41
0
07 Dec 2020
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural
  Networks
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks
Pengtao Xu
Jian Cao
Fanhua Shang
Wenyu Sun
Pu Li
3DPC
12
24
0
29 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
42
116
0
25 Nov 2020
MGIC: Multigrid-in-Channels Neural Network Architectures
MGIC: Multigrid-in-Channels Neural Network Architectures
Moshe Eliasof
Jonathan Ephrath
Lars Ruthotto
Eran Treister
31
7
0
17 Nov 2020
Learning Efficient GANs for Image Translation via Differentiable Masks
  and co-Attention Distillation
Learning Efficient GANs for Image Translation via Differentiable Masks and co-Attention Distillation
Shaojie Li
Mingbao Lin
Yan Wang
Fei Chao
Ling Shao
Rongrong Ji
18
32
0
17 Nov 2020
LEAN: graph-based pruning for convolutional neural networks by
  extracting longest chains
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
R. Schoonhoven
A. Hendriksen
D. Pelt
K. Batenburg
3DPC
8
4
0
13 Nov 2020
Dirichlet Pruning for Neural Network Compression
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski
Mijung Park
24
3
0
10 Nov 2020
Channel Planting for Deep Neural Networks using Knowledge Distillation
Channel Planting for Deep Neural Networks using Knowledge Distillation
Kakeru Mitsuno
Yuichiro Nomura
Takio Kurita
20
2
0
04 Nov 2020
Filter Pruning using Hierarchical Group Sparse Regularization for Deep
  Convolutional Neural Networks
Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
Kakeru Mitsuno
Takio Kurita
6
6
0
04 Nov 2020
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator
  Search
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
Yushuo Guan
Ning Liu
Pengyu Zhao
Zhengping Che
Kaigui Bian
Yanzhi Wang
Jian Tang
12
38
0
04 Nov 2020
Methods for Pruning Deep Neural Networks
Methods for Pruning Deep Neural Networks
S. Vadera
Salem Ameen
3DPC
16
122
0
31 Oct 2020
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of
  Winning Tickets is Enough
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough
Mao Ye
Lemeng Wu
Qiang Liu
15
17
0
29 Oct 2020
Data Agnostic Filter Gating for Efficient Deep Networks
Data Agnostic Filter Gating for Efficient Deep Networks
Xiu Su
Shan You
Tao Huang
Hongyan Xu
Fei-Yue Wang
Chao Qian
Changshui Zhang
Chang Xu
19
10
0
28 Oct 2020
Differentiable Channel Sparsity Search via Weight Sharing within Filters
Differentiable Channel Sparsity Search via Weight Sharing within Filters
Yu Zhao
Chung-Kuei Lee
6
1
0
28 Oct 2020
Towards Optimal Filter Pruning with Balanced Performance and Pruning
  Speed
Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed
Dong Li
Sitong Chen
Xudong Liu
Yunda Sun
Li Lyna Zhang
VLM
10
4
0
14 Oct 2020
Comprehensive Online Network Pruning via Learnable Scaling Factors
Comprehensive Online Network Pruning via Learnable Scaling Factors
Muhammad Umair Haider
M. Taj
8
6
0
06 Oct 2020
Pruning Filter in Filter
Pruning Filter in Filter
Fanxu Meng
Hao Cheng
Ke Li
Huixiang Luo
Xiao-Wei Guo
Guangming Lu
Xing Sun
VLM
24
103
0
30 Sep 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Jingtong Su
Yihang Chen
Tianle Cai
Tianhao Wu
Ruiqi Gao
Liwei Wang
J. Lee
6
85
0
22 Sep 2020
Holistic Filter Pruning for Efficient Deep Neural Networks
Holistic Filter Pruning for Efficient Deep Neural Networks
Lukas Enderich
Fabian Timm
Wolfram Burgard
16
7
0
17 Sep 2020
On the Orthogonality of Knowledge Distillation with Other Techniques:
  From an Ensemble Perspective
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective
Seonguk Park
Kiyoon Yoo
Nojun Kwak
FedML
8
3
0
09 Sep 2020
GAN Slimming: All-in-One GAN Compression by A Unified Optimization
  Framework
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework
Haotao Wang
Shupeng Gui
Haichuan Yang
Ji Liu
Zhangyang Wang
6
81
0
25 Aug 2020
HALO: Learning to Prune Neural Networks with Shrinkage
HALO: Learning to Prune Neural Networks with Shrinkage
Skyler Seto
M. Wells
Wenyu Zhang
19
0
0
24 Aug 2020
Training Sparse Neural Networks using Compressed Sensing
Training Sparse Neural Networks using Compressed Sensing
Jonathan W. Siegel
Jianhong Chen
Pengchuan Zhang
Jinchao Xu
24
5
0
21 Aug 2020
Learning Connectivity of Neural Networks from a Topological Perspective
Learning Connectivity of Neural Networks from a Topological Perspective
Kun Yuan
Quanquan Li
Jing Shao
Junjie Yan
6
3
0
19 Aug 2020
RARTS: An Efficient First-Order Relaxed Architecture Search Method
RARTS: An Efficient First-Order Relaxed Architecture Search Method
Fanghui Xue
Y. Qi
Jack Xin
14
1
0
10 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
33
108
0
04 Aug 2020
Neural Architecture Search as Sparse Supernet
Neural Architecture Search as Sparse Supernet
Y. Wu
Aoming Liu
Zhiwu Huang
Siwei Zhang
Luc Van Gool
17
22
0
31 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks
Operation-Aware Soft Channel Pruning using Differentiable Masks
Minsoo Kang
Bohyung Han
AAML
22
138
0
08 Jul 2020
Weight-dependent Gates for Network Pruning
Weight-dependent Gates for Network Pruning
Yun Li
Zechun Liu
Weiqun Wu
Haotian Yao
X. Zhang
Chi Zhang
B. Yin
24
13
0
04 Jul 2020
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural
  Networks
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural Networks
Dharma Teja Vooturi
G. Varma
Kishore Kothapalli
8
6
0
24 Jun 2020
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural
  Networks Acceleration
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration
Jianrong Xu
Boyu Diao
Bifeng Cui
Kang Yang
Chao Li
H. Hong
11
4
0
23 Jun 2020
Slimming Neural Networks using Adaptive Connectivity Scores
Slimming Neural Networks using Adaptive Connectivity Scores
Madan Ravi Ganesh
Dawsin Blanchard
Jason J. Corso
S. Y. Sekeh
6
10
0
22 Jun 2020
Cogradient Descent for Bilinear Optimization
Cogradient Descent for Bilinear Optimization
Lian Zhuo
Baochang Zhang
Linlin Yang
Hanlin Chen
QiXiang Ye
David Doermann
G. Guo
Rongrong Ji
12
14
0
16 Jun 2020
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks
Zejiang Hou
S. Kung
4
5
0
28 May 2020
Position-based Scaled Gradient for Model Quantization and Pruning
Position-based Scaled Gradient for Model Quantization and Pruning
Jangho Kim
Kiyoon Yoo
Nojun Kwak
MQ
11
7
0
22 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update
Joint Multi-Dimension Pruning via Numerical Gradient Update
Zechun Liu
X. Zhang
Zhiqiang Shen
Zhe Li
Yichen Wei
Kwang-Ting Cheng
Jian Sun
39
18
0
18 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With
  Trainable Masked Layers
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
Junjie Liu
Zhe Xu
Runbin Shi
R. Cheung
Hayden Kwok-Hay So
9
119
0
14 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge
  Applications: A Survey
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
3DPC
MedIm
22
52
0
08 May 2020
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality
  Reduction
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction
T. Koike-Akino
Ye Wang
8
11
0
06 May 2020
Out-of-the-box channel pruned networks
Out-of-the-box channel pruned networks
Ragav Venkatesan
Gurumurthy Swaminathan
Xiong Zhou
Anna Luo
15
0
0
30 Apr 2020
Rethinking Class-Discrimination Based CNN Channel Pruning
Rethinking Class-Discrimination Based CNN Channel Pruning
Yuchen Liu
D. Wentzlaff
S. Kung
11
10
0
29 Apr 2020
Finding the Optimal Network Depth in Classification Tasks
Finding the Optimal Network Depth in Classification Tasks
Bartosz Wójcik
Maciej Wołczyk
Klaudia Bałazy
Jacek Tabor
4
0
0
17 Apr 2020
GeneCAI: Genetic Evolution for Acquiring Compact AI
GeneCAI: Genetic Evolution for Acquiring Compact AI
Mojan Javaheripi
Mohammad Samragh
T. Javidi
F. Koushanfar
29
9
0
08 Apr 2020
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio
Zhengsu Chen
J. Niu
Lingxi Xie
Xuefeng Liu
Longhui Wei
Qi Tian
14
12
0
06 Apr 2020
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity
  Allocation
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation
Xuefei Ning
Tianchen Zhao
Wenshuo Li
Peng Lei
Yu Wang
Huazhong Yang
8
103
0
05 Apr 2020
Review of data analysis in vision inspection of power lines with an
  in-depth discussion of deep learning technology
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology
Xinyu Liu
Xiren Miao
Hao Jiang
Jia Chen
25
11
0
22 Mar 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for
  Network Compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
Yawei Li
Shuhang Gu
Christoph Mayer
Luc Van Gool
Radu Timofte
123
1
0
19 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron
  Trimming
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
Madan Ravi Ganesh
Jason J. Corso
S. Y. Sekeh
MQ
30
15
0
18 Mar 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks
  by Weights Flipping
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping
Jiaxiong Qiu
Cai Chen
Shuaicheng Liu
B. Zeng
4
39
0
16 Mar 2020
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