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Towards Optimal Structured CNN Pruning via Generative Adversarial
  Learning

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

22 March 2019
Shaohui Lin
Rongrong Ji
Chenqian Yan
Baochang Zhang
Liujuan Cao
QiXiang Ye
Feiyue Huang
David Doermann
    CVBM
ArXivPDFHTML

Papers citing "Towards Optimal Structured CNN Pruning via Generative Adversarial Learning"

50 / 71 papers shown
Title
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Giulia Fracastoro
Sophie M. Fosson
Andrea Migliorati
G. Calafiore
45
1
0
19 Jan 2025
Filter Pruning For CNN With Enhanced Linear Representation Redundancy
Filter Pruning For CNN With Enhanced Linear Representation Redundancy
Bojue Wang
Chun-Xia Ma
Bin Liu
Nianbo Liu
Jinqi Zhu
42
1
0
10 Oct 2023
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for
  Pruning LLMs to High Sparsity
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
Lu Yin
You Wu
Zhenyu Zhang
Cheng-Yu Hsieh
Yaqing Wang
...
Mykola Pechenizkiy
Yi Liang
Michael Bendersky
Zhangyang Wang
Shiwei Liu
36
79
0
08 Oct 2023
Differentiable Weight Masks for Domain Transfer
Differentiable Weight Masks for Domain Transfer
Samarth Khanna
Skanda Vaidyanath
Akash Velu
34
0
0
26 Aug 2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential
  Filter Sampler
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler
Shaohui Lin
Wenxuan Huang
Jiao Xie
Baochang Zhang
Yunhang Shen
Zhou Yu
Jungong Han
David Doermann
25
2
0
01 Jul 2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural
  Network Pruning
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Shangli Zhou
Mikhail A. Bragin
Lynn Pepin
Deniz Gurevin
Fei Miao
Caiwen Ding
24
3
0
08 Apr 2023
Performance-aware Approximation of Global Channel Pruning for Multitask
  CNNs
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Hancheng Ye
Bo Zhang
Tao Chen
Jiayuan Fan
Bin Wang
32
18
0
21 Mar 2023
Automatic Attention Pruning: Improving and Automating Model Pruning
  using Attentions
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Kaiqi Zhao
Animesh Jain
Ming Zhao
26
10
0
14 Mar 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Athul Shibu
Abhishek Kumar
Heechul Jung
Dong-Gyu Lee
17
1
0
26 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang
Can Qin
Yue Bai
Yun Fu
37
20
0
12 Jan 2023
Pruning by Active Attention Manipulation
Pruning by Active Attention Manipulation
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
24
0
0
20 Oct 2022
Neural Networks Reduction via Lumping
Neural Networks Reduction via Lumping
Dalila Ressi
Riccardo Romanello
S. Rossi
Carla Piazza
38
4
0
15 Sep 2022
Recurrent Bilinear Optimization for Binary Neural Networks
Recurrent Bilinear Optimization for Binary Neural Networks
Sheng Xu
Yanjing Li
Tian Wang
Teli Ma
Baochang Zhang
Peng Gao
Yu Qiao
Jinhu Lv
Guodong Guo
MQ
17
14
0
04 Sep 2022
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Muhammad Zawish
Steven Davy
L. Abraham
41
16
0
26 Aug 2022
A One-Shot Reparameterization Method for Reducing the Loss of Tile
  Pruning on DNNs
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs
Yancheng Li
Qingzhong Ai
Fumihiko Ino
32
0
0
29 Jul 2022
Network Pruning via Feature Shift Minimization
Network Pruning via Feature Shift Minimization
Y. Duan
Yue Zhou
Peng He
Qiang Liu
Shukai Duan
Xiaofang Hu
26
4
0
06 Jul 2022
Revisiting Random Channel Pruning for Neural Network Compression
Revisiting Random Channel Pruning for Neural Network Compression
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
37
84
0
11 May 2022
Attentive Fine-Grained Structured Sparsity for Image Restoration
Attentive Fine-Grained Structured Sparsity for Image Restoration
Junghun Oh
Heewon Kim
Seungjun Nah
Chee Hong
Jonghyun Choi
Kyoung Mu Lee
27
18
0
26 Apr 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Compact Model Training by Low-Rank Projection with Energy Transfer
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
40
2
0
12 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional
  Filters
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Paul Gavrikov
J. Keuper
AAML
24
31
0
29 Mar 2022
Exploring Linear Feature Disentanglement For Neural Networks
Exploring Linear Feature Disentanglement For Neural Networks
Tiantian He
Zhibin Li
Yongshun Gong
Yazhou Yao
Xiushan Nie
Yilong Yin
AAML
22
3
0
22 Mar 2022
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter
  Pruning
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
Seunghyun Lee
B. Song
24
8
0
05 Mar 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and
  Class Labels
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
C. Sarvani
Mrinmoy Ghorai
S. Dubey
S. H. Shabbeer Basha
VLM
39
37
0
22 Feb 2022
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Mingbao Lin
Liujuan Cao
Yuxin Zhang
Ling Shao
Chia-Wen Lin
Rongrong Ji
35
51
0
15 Feb 2022
Pruning-aware Sparse Regularization for Network Pruning
Pruning-aware Sparse Regularization for Network Pruning
Nanfei Jiang
Xu Zhao
Chaoyang Zhao
Yongqi An
Ming Tang
Jinqiao Wang
3DPC
24
12
0
18 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
Multi-Dimensional Model Compression of Vision Transformer
Multi-Dimensional Model Compression of Vision Transformer
Zejiang Hou
S. Kung
ViT
30
16
0
31 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
25
1
0
20 Dec 2021
Network Compression via Central Filter
Network Compression via Central Filter
Y. Duan
Xiaofang Hu
Yue Zhou
Qiang Liu
Shukai Duan
3DPC
19
1
0
10 Dec 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
18
3
0
18 Nov 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
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
35
129
0
26 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
An Information Theory-inspired Strategy for Automatic Network Pruning
An Information Theory-inspired Strategy for Automatic Network Pruning
Xiawu Zheng
Yuexiao Ma
Teng Xi
Gang Zhang
Errui Ding
Yuchao Li
Jie Chen
Yonghong Tian
Rongrong Ji
54
13
0
19 Aug 2021
Data-Driven Low-Rank Neural Network Compression
Data-Driven Low-Rank Neural Network Compression
D. Papadimitriou
Swayambhoo Jain
BDL
24
3
0
13 Jul 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning
CompConv: A Compact Convolution Module for Efficient Feature Learning
Chen Zhang
Yinghao Xu
Yujun Shen
VLM
SSL
16
10
0
19 Jun 2021
Carrying out CNN Channel Pruning in a White Box
Carrying out CNN Channel Pruning in a White Box
Yuxin Zhang
Mingbao Lin
Chia-Wen Lin
Jie Chen
Feiyue Huang
Yongjian Wu
Yonghong Tian
Rongrong Ji
VLM
39
58
0
24 Apr 2021
Compacting Deep Neural Networks for Internet of Things: Methods and
  Applications
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
Ke Zhang
Hanbo Ying
Hongning Dai
Lin Li
Yuangyuang Peng
Keyi Guo
Hongfang Yu
21
38
0
20 Mar 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
32
12
0
19 Mar 2021
An Information-Theoretic Justification for Model Pruning
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
95
35
0
16 Feb 2021
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
20
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
19
111
0
29 Nov 2020
Dirichlet Pruning for Neural Network Compression
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski
Mijung Park
27
3
0
10 Nov 2020
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
Kai Han
Yunhe Wang
Qiulin Zhang
Wei Zhang
Chunjing Xu
Tong Zhang
19
87
0
28 Oct 2020
SCOP: Scientific Control for Reliable Neural Network Pruning
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
50
167
0
21 Oct 2020
Comprehensive Online Network Pruning via Learnable Scaling Factors
Comprehensive Online Network Pruning via Learnable Scaling Factors
Muhammad Umair Haider
M. Taj
16
7
0
06 Oct 2020
Kernel Based Progressive Distillation for Adder Neural Networks
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu
Chang Xu
Xinghao Chen
Wei Zhang
Chunjing Xu
Yunhe Wang
41
47
0
28 Sep 2020
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Z. Su
Linpu Fang
Wenxiong Kang
D. Hu
M. Pietikäinen
Li Liu
15
44
0
08 Jul 2020
Self-Supervised GAN Compression
Self-Supervised GAN Compression
Chong Yu
Jeff Pool
9
9
0
03 Jul 2020
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