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NISP: Pruning Networks using Neuron Importance Score Propagation

NISP: Pruning Networks using Neuron Importance Score Propagation

16 November 2017
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
ArXivPDFHTML

Papers citing "NISP: Pruning Networks using Neuron Importance Score Propagation"

47 / 97 papers shown
Title
Layer Folding: Neural Network Depth Reduction using Activation
  Linearization
Layer Folding: Neural Network Depth Reduction using Activation Linearization
Amir Ben Dror
Niv Zehngut
Avraham Raviv
E. Artyomov
Ran Vitek
R. Jevnisek
21
20
0
17 Jun 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
27
27
0
24 Apr 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang
Haojun Jiang
Ruojin Cai
Yulin Wang
Shiji Song
Gao Huang
Qi Tian
DD
17
64
0
09 Apr 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Seul-Ki Yeom
Kyung-Hwan Shim
Jee-Hyun Hwang
CVBM
22
12
0
19 Mar 2021
Knowledge Evolution in Neural Networks
Knowledge Evolution in Neural Networks
Ahmed Taha
Abhinav Shrivastava
L. Davis
42
21
0
09 Mar 2021
An Information-Theoretic Justification for Model Pruning
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
84
35
0
16 Feb 2021
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization
  Framework
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Runbin Shi
Hayden Kwok-Hay So
Xuehai Qian
Yanzhi Wang
Xue Lin
MQ
18
82
0
08 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
ProtoPShare: Prototype Sharing for Interpretable Image Classification
  and Similarity Discovery
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
17
111
0
29 Nov 2020
Rethinking Weight Decay For Efficient Neural Network Pruning
Rethinking Weight Decay For Efficient Neural Network Pruning
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
T. Hannagan
David Bertrand
23
25
0
20 Nov 2020
Dirichlet Pruning for Neural Network Compression
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski
Mijung Park
22
3
0
10 Nov 2020
Densely Guided Knowledge Distillation using Multiple Teacher Assistants
Densely Guided Knowledge Distillation using Multiple Teacher Assistants
Wonchul Son
Jaemin Na
Junyong Choi
Wonjun Hwang
20
110
0
18 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network)
  Compression
Transform Quantization for CNN (Convolutional Neural Network) Compression
Sean I. Young
Wang Zhe
David S. Taubman
B. Girod
MQ
22
69
0
02 Sep 2020
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise
  Sparsity
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity
Cong Guo
B. Hsueh
Jingwen Leng
Yuxian Qiu
Yue Guan
Zehuan Wang
Xiaoying Jia
Xipeng Li
M. Guo
Yuhao Zhu
27
82
0
29 Aug 2020
T-Basis: a Compact Representation for Neural Networks
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
31
27
0
13 Jul 2020
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Giorgio Roffo
Simone Melzi
U. Castellani
Alessandro Vinciarelli
Marco Cristani
25
107
0
15 Jun 2020
A Framework for Neural Network Pruning Using Gibbs Distributions
A Framework for Neural Network Pruning Using Gibbs Distributions
Alex Labach
S. Valaee
9
5
0
08 Jun 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
40
98
0
05 Jun 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
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality
  Regularization and Singular Value Sparsification
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
Huanrui Yang
Minxue Tang
W. Wen
Feng Yan
Daniel Hu
Ang Li
H. Li
Yiran Chen
31
62
0
20 Apr 2020
A Survey of Methods for Low-Power Deep Learning and Computer Vision
A Survey of Methods for Low-Power Deep Learning and Computer Vision
Abhinav Goel
Caleb Tung
Yung-Hsiang Lu
George K. Thiruvathukal
VLM
8
92
0
24 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
HRank: Filter Pruning using High-Rank Feature Map
HRank: Filter Pruning using High-Rank Feature Map
Mingbao Lin
Rongrong Ji
Yan Wang
Yichen Zhang
Baochang Zhang
Yonghong Tian
Ling Shao
8
714
0
24 Feb 2020
Identifying Critical Neurons in ANN Architectures using Mixed Integer
  Programming
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
M. Elaraby
Guy Wolf
Margarida Carvalho
26
5
0
17 Feb 2020
Discrimination-aware Network Pruning for Deep Model Compression
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu
Bohan Zhuang
Zhuangwei Zhuang
Yong Guo
Junzhou Huang
Jin-Hui Zhu
Mingkui Tan
CVBM
11
118
0
04 Jan 2020
Lossless Compression of Deep Neural Networks
Lossless Compression of Deep Neural Networks
Thiago Serra
Abhinav Kumar
Srikumar Ramalingam
24
56
0
01 Jan 2020
Mixed-Precision Quantized Neural Network with Progressively Decreasing
  Bitwidth For Image Classification and Object Detection
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection
Tianshu Chu
Qin Luo
Jie-jin Yang
Xiaolin Huang
MQ
16
6
0
29 Dec 2019
GhostNet: More Features from Cheap Operations
GhostNet: More Features from Cheap Operations
Kai Han
Yunhe Wang
Qi Tian
Jianyuan Guo
Chunjing Xu
Chang Xu
18
2,575
0
27 Nov 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep
  Convolutional Neural Networks
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You
Kun Yan
Jinmian Ye
Meng Ma
Ping Wang
3DPC
8
246
0
18 Sep 2019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for
  Real-time Execution on Mobile Devices
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
Xiaolong Ma
Fu-Ming Guo
Wei Niu
Xue Lin
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
CVBM
14
173
0
06 Sep 2019
Knowledge Distillation for End-to-End Person Search
Knowledge Distillation for End-to-End Person Search
Bharti Munjal
Fabio Galasso
S. Amin
FedML
40
15
0
03 Sep 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth
  Weights and Activations
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang
Jing Liu
Mingkui Tan
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
13
44
0
10 Aug 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
29
49
0
31 Jul 2019
Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
Frederick Tung
Greg Mori
39
957
0
23 Jul 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based
  Filter-Level Pruning
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Wenxiao Wang
Cong Fu
Jishun Guo
Deng Cai
Xiaofei He
VLM
10
71
0
25 Jun 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural
  Networks
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li
Q. Qi
Jingyu Wang
Ce Ge
Yujian Betterest Li
Zhangzhang Yue
Haifeng Sun
BDL
CML
13
53
0
28 May 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Pravendra Singh
Vinay K. Verma
Piyush Rai
Vinay P. Namboodiri
VLM
17
71
0
11 May 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
8
170
0
28 Apr 2019
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
8
1,449
0
11 Oct 2018
MBS: Macroblock Scaling for CNN Model Reduction
MBS: Macroblock Scaling for CNN Model Reduction
Yu-Hsun Lin
Chun-Nan Chou
Edward Y. Chang
MQ
11
4
0
18 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
47
2,417
0
06 Sep 2018
Choose Your Neuron: Incorporating Domain Knowledge through
  Neuron-Importance
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
Ramprasaath R. Selvaraju
Prithvijit Chattopadhyay
Mohamed Elhoseiny
Tilak Sharma
Dhruv Batra
Devi Parikh
Stefan Lee
24
35
0
08 Aug 2018
Filter Distillation for Network Compression
Filter Distillation for Network Compression
Xavier Suau
Luca Zappella
N. Apostoloff
16
38
0
20 Jul 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network
  Compression
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto
K. Maeno
18
32
0
14 Jun 2018
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
Huiyuan Zhuo
Xuelin Qian
Yanwei Fu
Heng Yang
Xiangyang Xue
14
37
0
14 Jun 2018
Dynamic Zoom-in Network for Fast Object Detection in Large Images
Dynamic Zoom-in Network for Fast Object Detection in Large Images
M. Gao
Ruichi Yu
Ang Li
Vlad I. Morariu
L. Davis
ObjD
30
129
0
14 Nov 2017
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