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Channel Pruning for Accelerating Very Deep Neural Networks

Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017
Yihui He
Xiangyu Zhang
Jian Sun
ArXivPDFHTML

Papers citing "Channel Pruning for Accelerating Very Deep Neural Networks"

50 / 1,090 papers shown
Title
UDC: Unified DNAS for Compressible TinyML Models
UDC: Unified DNAS for Compressible TinyML Models
Igor Fedorov
Ramon Matas
Hokchhay Tann
Chu Zhou
Matthew Mattina
P. Whatmough
AI4CE
26
13
0
15 Jan 2022
Automatic Sparse Connectivity Learning for Neural Networks
Automatic Sparse Connectivity Learning for Neural Networks
Zhimin Tang
Linkai Luo
Bike Xie
Yiyu Zhu
Rujie Zhao
Lvqing Bi
Chao Lu
26
40
0
13 Jan 2022
Towards Lightweight Neural Animation : Exploration of Neural Network
  Pruning in Mixture of Experts-based Animation Models
Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models
Antoine Maiorca
Nathan Hubens
S. Laraba
Thierry Dutoit
19
3
0
11 Jan 2022
GhostNets on Heterogeneous Devices via Cheap Operations
GhostNets on Heterogeneous Devices via Cheap Operations
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chunjing Xu
Enhua Wu
Qi Tian
19
102
0
10 Jan 2022
Compressing Models with Few Samples: Mimicking then Replacing
Compressing Models with Few Samples: Mimicking then Replacing
Huanyu Wang
Junjie Liu
Xin Ma
Yang Yong
Z. Chai
Jianxin Wu
VLM
OffRL
19
12
0
07 Jan 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous
  Optimization Space
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
Arnav Chavan
Zhiqiang Shen
Zhuang Liu
Zechun Liu
Kwang-Ting Cheng
Eric P. Xing
ViT
35
70
0
03 Jan 2022
Conditional Generative Data-free Knowledge Distillation
Conditional Generative Data-free Knowledge Distillation
Xinyi Yu
Ling Yan
Yang Yang
Libo Zhou
Linlin Ou
20
8
0
31 Dec 2021
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and
  Implementation-Level Techniques
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
JunKyu Lee
L. Mukhanov
A. S. Molahosseini
U. Minhas
Yang Hua
Jesus Martinez del Rincon
K. Dichev
Cheol-Ho Hong
Hans Vandierendonck
44
29
0
30 Dec 2021
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via
  Dense-To-Sparse Gate
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate
Xiaonan Nie
Xupeng Miao
Shijie Cao
Lingxiao Ma
Qibin Liu
Jilong Xue
Youshan Miao
Yi Liu
Zhi-Xin Yang
Bin Cui
MoMe
MoE
29
23
0
29 Dec 2021
An Empirical Study of Adder Neural Networks for Object Detection
An Empirical Study of Adder Neural Networks for Object Detection
Xinghao Chen
Chang Xu
Minjing Dong
Chunjing Xu
Yunhe Wang
88
15
0
27 Dec 2021
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks
Fei Sun
Minghai Qin
Tianyun Zhang
Xiaolong Ma
Haoran Li
Junwen Luo
Zihao Zhao
Yen-kuang Chen
Yuan Xie
27
1
0
20 Dec 2021
On Causal Inference for Data-free Structured Pruning
On Causal Inference for Data-free Structured Pruning
Martin Ferianc
A. Sankaran
Olivier Mastropietro
Ehsan Saboori
Quentin Cappart
CML
12
2
0
19 Dec 2021
An Experimental Study of the Impact of Pre-training on the Pruning of a
  Convolutional Neural Network
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network
Nathan Hubens
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
VLM
CVBM
23
8
0
15 Dec 2021
SNF: Filter Pruning via Searching the Proper Number of Filters
SNF: Filter Pruning via Searching the Proper Number of Filters
Pengkun Liu
Yaru Yue
Yanjun Guo
Xingxiang Tao
Xiaoguang Zhou
3DPC
36
0
0
14 Dec 2021
Synapse Compression for Event-Based Convolutional-Neural-Network
  Accelerators
Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators
Lennart Bamberg
Arash Pourtaherian
Luc Waeijen
A. Chahar
Orlando Moreira
20
4
0
13 Dec 2021
Network Compression via Central Filter
Network Compression via Central Filter
Y. Duan
Xiaofang Hu
Yue Zhou
Qiang Liu
Shukai Duan
3DPC
22
1
0
10 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural
  Networks Using Funnel Regularization
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization
Bo-Shiuan Chu
Che-Rung Lee
26
11
0
07 Dec 2021
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery
Cameron R. Wolfe
Anastasios Kyrillidis
31
1
0
07 Dec 2021
Inf-CP: A Reliable Channel Pruning based on Channel Influence
Inf-CP: A Reliable Channel Pruning based on Channel Influence
Bilan Lai
Haoran Xiang
S. Furao
10
0
0
05 Dec 2021
Data-Free Neural Architecture Search via Recursive Label Calibration
Data-Free Neural Architecture Search via Recursive Label Calibration
Zechun Liu
Zhiqiang Shen
Yun Long
Eric P. Xing
Kwang-Ting Cheng
Chas Leichner
20
7
0
03 Dec 2021
Challenges and Opportunities in Approximate Bayesian Deep Learning for
  Intelligent IoT Systems
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems
Meet P. Vadera
Benjamin M. Marlin
UQCV
BDL
18
5
0
03 Dec 2021
Putting 3D Spatially Sparse Networks on a Diet
Putting 3D Spatially Sparse Networks on a Diet
Junha Lee
Chris Choy
Jaesik Park
3DV
41
3
0
02 Dec 2021
Batch Normalization Tells You Which Filter is Important
Batch Normalization Tells You Which Filter is Important
Junghun Oh
Heewon Kim
Sungyong Baik
Chee Hong
Kyoung Mu Lee
CVBM
47
8
0
02 Dec 2021
Adaptive Token Sampling For Efficient Vision Transformers
Adaptive Token Sampling For Efficient Vision Transformers
Mohsen Fayyaz
Soroush Abbasi Koohpayegani
F. Jafari
Sunando Sengupta
Hamid Reza Vaezi Joze
Eric Sommerlade
Hamed Pirsiavash
Juergen Gall
ViT
16
148
0
30 Nov 2021
A Highly Effective Low-Rank Compression of Deep Neural Networks with
  Modified Beam-Search and Modified Stable Rank
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Moonjung Eo
Suhyun Kang
Wonjong Rhee
27
1
0
30 Nov 2021
A Unified Pruning Framework for Vision Transformers
A Unified Pruning Framework for Vision Transformers
Hao Yu
Jianxin Wu
ViT
30
62
0
30 Nov 2021
Improved Knowledge Distillation via Adversarial Collaboration
Improved Knowledge Distillation via Adversarial Collaboration
Zhiqiang Liu
Chengkai Huang
Yanxia Liu
31
2
0
29 Nov 2021
Semi-Online Knowledge Distillation
Semi-Online Knowledge Distillation
Zhiqiang Liu
Yanxia Liu
Chengkai Huang
27
5
0
23 Nov 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time
  Mobile Acceleration
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
Yifan Gong
Geng Yuan
Zheng Zhan
Wei Niu
Zhengang Li
...
Sijia Liu
Bin Ren
Xue Lin
Xulong Tang
Yanzhi Wang
30
10
0
22 Nov 2021
Automatic Neural Network Pruning that Efficiently Preserves the Model
  Accuracy
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy
Thibault Castells
Seul-Ki Yeom
3DV
23
3
0
18 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated
  Learning: A Survey of Trends and Challenges
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
Mohammad M. Al-Quraan
Lina S. Mohjazi
Lina Bariah
A. Centeno
A. Zoha
Sami Muhaidat
Mérouane Debbah
Muhammad Ali Imran
22
62
0
14 Nov 2021
Efficient Neural Network Training via Forward and Backward Propagation
  Sparsification
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou
Weizhong Zhang
Zonghao Chen
Shizhe Diao
Tong Zhang
40
46
0
10 Nov 2021
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
86
83
0
08 Nov 2021
MQBench: Towards Reproducible and Deployable Model Quantization
  Benchmark
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
Yuhang Li
Mingzhu Shen
Jian Ma
Yan Ren
Mingxin Zhao
Qi Zhang
Ruihao Gong
F. Yu
Junjie Yan
MQ
35
49
0
05 Nov 2021
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language
  Models
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
Xuxi Chen
Tianlong Chen
Weizhu Chen
Ahmed Hassan Awadallah
Zhangyang Wang
Yu Cheng
MoE
ALM
28
10
0
30 Oct 2021
Gabor filter incorporated CNN for compression
Gabor filter incorporated CNN for compression
Akihiro Imamura
N. Arizumi
CVBM
28
2
0
29 Oct 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Ji Lin
Wei-Ming Chen
Han Cai
Chuang Gan
Song Han
47
156
0
28 Oct 2021
RGP: Neural Network Pruning through Its Regular Graph Structure
RGP: Neural Network Pruning through Its Regular Graph Structure
Zhuangzhi Chen
Jingyang Xiang
Yao Lu
Qi Xuan
Xiaoniu Yang
27
1
0
28 Oct 2021
ScaleCert: Scalable Certified Defense against Adversarial Patches with
  Sparse Superficial Layers
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Husheng Han
Kaidi Xu
Xing Hu
Xiaobing Chen
Ling Liang
Zidong Du
Qi Guo
Yanzhi Wang
Yunji Chen
AAML
16
19
0
27 Oct 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the
  Edge
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan
Xiaolong Ma
Wei Niu
Zhengang Li
Zhenglun Kong
...
Minghai Qin
Bin Ren
Yanzhi Wang
Sijia Liu
Xue Lin
30
89
0
26 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui
Miao Yin
Yi Xie
Huy Phan
S. Zonouz
Bo Yuan
VLM
40
129
0
26 Oct 2021
Applications and Techniques for Fast Machine Learning in Science
Applications and Techniques for Fast Machine Learning in Science
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
14
71
0
25 Oct 2021
The Efficiency Misnomer
The Efficiency Misnomer
Daoyuan Chen
Liuyi Yao
Dawei Gao
Ashish Vaswani
Yaliang Li
39
99
0
25 Oct 2021
Instance-Conditional Knowledge Distillation for Object Detection
Instance-Conditional Knowledge Distillation for Object Detection
Zijian Kang
Peizhen Zhang
Xinming Zhang
Jian Sun
N. Zheng
27
76
0
25 Oct 2021
Exploring Gradient Flow Based Saliency for DNN Model Compression
Exploring Gradient Flow Based Saliency for DNN Model Compression
Xinyu Liu
Baopu Li
Zhen Chen
Yixuan Yuan
FAtt
17
9
0
24 Oct 2021
Scalable Smartphone Cluster for Deep Learning
Scalable Smartphone Cluster for Deep Learning
Payam Abdisarabshali
Jaehee Jang
Nicholas Accurso
Seijoon Kim
Filippo Malandra
Moon Sik Jeong
Kwang Choon Kim
Seon Heo
Yoon-Ji Kim
Sungroh Yoon
8
4
0
23 Oct 2021
Federated Unlearning via Class-Discriminative Pruning
Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang
Song Guo
Xin Xie
Heng Qi
MU
11
137
0
22 Oct 2021
Evolving Transferable Neural Pruning Functions
Evolving Transferable Neural Pruning Functions
Yuchen Liu
S. Kung
D. Wentzlaff
24
1
0
21 Oct 2021
Class-Discriminative CNN Compression
Class-Discriminative CNN Compression
Yuchen Liu
D. Wentzlaff
S. Kung
26
1
0
21 Oct 2021
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
Yanli Liu
Bochen Guan
Qinwen Xu
Weiyi Li
Shuxue Quan
33
2
0
21 Oct 2021
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