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Pruning Filters for Efficient ConvNets
v1v2v3 (latest)

Pruning Filters for Efficient ConvNets

31 August 2016
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 1,596 papers shown
Title
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision
  Applications
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications
Chinthaka Gamanayake
Lahiru Jayasinghe
Benny Kai Kiat Ng
Chau Yuen
VLM
91
47
0
05 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
308
388
0
05 Mar 2020
Privacy-preserving Learning via Deep Net Pruning
Privacy-preserving Learning via Deep Net Pruning
Yangsibo Huang
Yushan Su
S. S. Ravi
Zhao Song
Sanjeev Arora
Keqin Li
MLT
68
16
0
04 Mar 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Mao Ye
Chengyue Gong
Lizhen Nie
Denny Zhou
Adam R. Klivans
Qiang Liu
113
111
0
03 Mar 2020
A Note on Latency Variability of Deep Neural Networks for Mobile
  Inference
A Note on Latency Variability of Deep Neural Networks for Mobile Inference
Luting Yang
Bingqian Lu
Shaolei Ren
21
6
0
29 Feb 2020
Learned Threshold Pruning
Learned Threshold Pruning
K. Azarian
Yash Bhalgat
Jinwon Lee
Tijmen Blankevoort
MQ
79
38
0
28 Feb 2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN
  Compression
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
R. Lin
Ching-Yun Ko
Zhuolun He
Cong Chen
Yuan Cheng
Hao Yu
G. Chesi
Ngai Wong
75
6
0
28 Feb 2020
Train Large, Then Compress: Rethinking Model Size for Efficient Training
  and Inference of Transformers
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
Zhuohan Li
Eric Wallace
Sheng Shen
Kevin Lin
Kurt Keutzer
Dan Klein
Joseph E. Gonzalez
138
151
0
26 Feb 2020
HYDRA: Pruning Adversarially Robust Neural Networks
HYDRA: Pruning Adversarially Robust Neural Networks
Vikash Sehwag
Shiqi Wang
Prateek Mittal
Suman Jana
AAML
69
25
0
24 Feb 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
111
729
0
24 Feb 2020
Gradual Channel Pruning while Training using Feature Relevance Scores
  for Convolutional Neural Networks
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks
Sai Aparna Aketi
Sourjya Roy
A. Raghunathan
Kaushik Roy
63
22
0
23 Feb 2020
HarDNN: Feature Map Vulnerability Evaluation in CNNs
HarDNN: Feature Map Vulnerability Evaluation in CNNs
Abdulrahman Mahmoud
S. Hari
Christopher W. Fletcher
Sarita Adve
Charbel Sakr
Naresh R Shanbhag
Pavlo Molchanov
Michael B. Sullivan
Timothy Tsai
S. Keckler
74
38
0
22 Feb 2020
Robust Pruning at Initialization
Robust Pruning at Initialization
Soufiane Hayou
Jean-François Ton
Arnaud Doucet
Yee Whye Teh
43
47
0
19 Feb 2020
Knapsack Pruning with Inner Distillation
Knapsack Pruning with Inner Distillation
Y. Aflalo
Asaf Noy
Ming Lin
Itamar Friedman
Lihi Zelnik-Manor
3DPC
64
34
0
19 Feb 2020
Structured Sparsification with Joint Optimization of Group Convolution
  and Channel Shuffle
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle
Xinyu Zhang
Kai Zhao
Taihong Xiao
Mingg-Ming Cheng
Ming-Hsuan Yang
59
1
0
19 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
51
5
0
17 Feb 2020
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR
  Predictions in Ad Serving
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
Wei Deng
Junwei Pan
Tian Zhou
Deguang Kong
Aaron Flores
Guang Lin
34
4
0
17 Feb 2020
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for
  Source Separation
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation
Sunwoo Kim
Haici Yang
Minje Kim
39
9
0
14 Feb 2020
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN
  Accelerators
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators
Zhanhong Tan
Jiebo Song
Xiaolong Ma
S. Tan
Hongyang Chen
...
Yifu Wu
Shaokai Ye
Yanzhi Wang
Dehui Li
Kaisheng Ma
75
24
0
11 Feb 2020
Network Pruning via Annealing and Direct Sparsity Control
Network Pruning via Annealing and Direct Sparsity Control
Yangzi Guo
Yiyuan She
Adrian Barbu
30
0
0
11 Feb 2020
Splitting Convolutional Neural Network Structures for Efficient
  Inference
Splitting Convolutional Neural Network Structures for Efficient Inference
Emad Malekhosseini
M. Hajabdollahi
N. Karimi
S. Samavi
S. Shirani
28
6
0
09 Feb 2020
Convolutional Neural Network Pruning Using Filter Attenuation
Convolutional Neural Network Pruning Using Filter Attenuation
Morteza Mousa Pasandi
M. Hajabdollahi
N. Karimi
S. Samavi
S. Shirani
3DPC
27
3
0
09 Feb 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity
Soft Threshold Weight Reparameterization for Learnable Sparsity
Aditya Kusupati
Vivek Ramanujan
Raghav Somani
Mitchell Wortsman
Prateek Jain
Sham Kakade
Ali Farhadi
186
247
0
08 Feb 2020
Quasi-Equivalence of Width and Depth of Neural Networks
Quasi-Equivalence of Width and Depth of Neural Networks
Fenglei Fan
Rongjie Lai
Ge Wang
72
11
0
06 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung
Seonguk Park
Jangho Kim
Nojun Kwak
GAN
94
131
0
05 Feb 2020
Lightweight Convolutional Representations for On-Device Natural Language
  Processing
Lightweight Convolutional Representations for On-Device Natural Language Processing
Shrey Desai
Geoffrey Goh
Arun Babu
Ahmed Aly
AI4TS
46
8
0
04 Feb 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach
Gilad Yehudai
Shai Shalev-Shwartz
Ohad Shamir
130
276
0
03 Feb 2020
Widening and Squeezing: Towards Accurate and Efficient QNNs
Widening and Squeezing: Towards Accurate and Efficient QNNs
Chuanjian Liu
Kai Han
Yunhe Wang
Hanting Chen
Qi Tian
Chunjing Xu
MQ
15
0
0
03 Feb 2020
Automatic Pruning for Quantized Neural Networks
Automatic Pruning for Quantized Neural Networks
Luis Guerra
Bohan Zhuang
Ian Reid
Tom Drummond
MQ
36
21
0
03 Feb 2020
An Equivalence between Bayesian Priors and Penalties in Variational
  Inference
An Equivalence between Bayesian Priors and Penalties in Variational Inference
Pierre Wolinski
Guillaume Charpiat
Yann Ollivier
BDL
51
1
0
01 Feb 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Jun Fang
Ali Shafiee
Hamzah Abdel-Aziz
D. Thorsley
Georgios Georgiadis
Joseph Hassoun
MQ
106
148
0
31 Jan 2020
Localizing Interpretable Multi-scale informative Patches Derived from
  Media Classification Task
Localizing Interpretable Multi-scale informative Patches Derived from Media Classification Task
Chuanguang Yang
Zhulin An
Xiaolong Hu
Hui Zhu
Yongjun Xu
19
0
0
31 Jan 2020
Search for Better Students to Learn Distilled Knowledge
Search for Better Students to Learn Distilled Knowledge
Jindong Gu
Volker Tresp
52
19
0
30 Jan 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the
  Wild
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal
Scott Freitas
Cao Xiao
Duen Horng Chau
Jimeng Sun
127
22
0
29 Jan 2020
Progressive Local Filter Pruning for Image Retrieval Acceleration
Progressive Local Filter Pruning for Image Retrieval Acceleration
Xiaodong Wang
Zhedong Zheng
Yang He
Fei Yan
Zhi-qiang Zeng
Yi Yang
85
36
0
24 Jan 2020
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of
  DNNs with Ultra-High Efficiency
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency
Zechao Li
Yifan Gong
Xiaolong Ma
Sijia Liu
Mengshu Sun
Zheng Zhan
Zhenglun Kong
Geng Yuan
Yanzhi Wang
53
17
0
23 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for
  Continual Learning
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning
Gobinda Saha
Isha Garg
Aayush Ankit
Kaushik Roy
CLL
51
22
0
23 Jan 2020
Channel Pruning via Automatic Structure Search
Channel Pruning via Automatic Structure Search
Mingbao Lin
Rongrong Ji
Yuxin Zhang
Baochang Zhang
Yongjian Wu
Yonghong Tian
130
247
0
23 Jan 2020
Filter Sketch for Network Pruning
Filter Sketch for Network Pruning
Mingbao Lin
Liujuan Cao
Shaojie Li
QiXiang Ye
Yonghong Tian
Jianzhuang Liu
Q. Tian
Rongrong Ji
CLIP3DPC
171
82
0
23 Jan 2020
Pruning CNN's with linear filter ensembles
Pruning CNN's with linear filter ensembles
Csanád Sándor
Szabolcs Pável
Lehel Csató
3DPC
50
3
0
22 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on
  Mobile Devices
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Xiaolong Ma
Wei Niu
Tianyun Zhang
Sijia Liu
Sheng Lin
...
Xiang Chen
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
103
27
0
20 Jan 2020
A "Network Pruning Network" Approach to Deep Model Compression
A "Network Pruning Network" Approach to Deep Model Compression
Vinay Kumar Verma
Pravendra Singh
Vinay P. Namboodiri
Piyush Rai
3DPCVLM
58
8
0
15 Jan 2020
Filter Grafting for Deep Neural Networks
Filter Grafting for Deep Neural Networks
Fanxu Meng
Hao Cheng
Ke Li
Zhixin Xu
Rongrong Ji
Xing Sun
Guangming Lu
70
33
0
15 Jan 2020
Modeling of Pruning Techniques for Deep Neural Networks Simplification
Modeling of Pruning Techniques for Deep Neural Networks Simplification
Morteza Mousa Pasandi
M. Hajabdollahi
N. Karimi
S. Samavi
3DPC
80
20
0
13 Jan 2020
Pruning Convolutional Neural Networks with Self-Supervision
Pruning Convolutional Neural Networks with Self-Supervision
Mathilde Caron
Ari S. Morcos
Piotr Bojanowski
Julien Mairal
Armand Joulin
SSL3DPC
59
12
0
10 Jan 2020
Backdoor Attacks against Transfer Learning with Pre-trained Deep
  Learning Models
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models
Shuo Wang
Surya Nepal
Carsten Rudolph
M. Grobler
Shangyu Chen
Tianle Chen
AAML
58
103
0
10 Jan 2020
Campfire: Compressible, Regularization-Free, Structured Sparse Training
  for Hardware Accelerators
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators
Noah Gamboa
Kais Kudrolli
Anand Dhoot
A. Pedram
33
10
0
09 Jan 2020
Compression of descriptor models for mobile applications
Compression of descriptor models for mobile applications
Roy Miles
K. Mikolajczyk
3DV
42
3
0
09 Jan 2020
Sparse Weight Activation Training
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
142
73
0
07 Jan 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
76
120
0
04 Jan 2020
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