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Group Fisher Pruning for Practical Network Compression

Group Fisher Pruning for Practical Network Compression

2 August 2021
Liyang Liu
Shilong Zhang
Zhanghui Kuang
Aojun Zhou
Jingliang Xue
Xinjiang Wang
Yimin Chen
Wenming Yang
Q. Liao
Wayne Zhang
ArXiv (abs)PDFHTML

Papers citing "Group Fisher Pruning for Practical Network Compression"

44 / 44 papers shown
Title
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
Minxuan Lv
Zhenpeng Su
Leiyu Pan
Yizhe Xiong
Zijia Lin
...
Guiguang Ding
Cheng Luo
Di Zhang
Kun Gai
Songlin Hu
MoE
111
0
0
18 Feb 2025
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space
Mahsa Mozafari-Nia
Salimeh Yasaei Sekeh
123
0
0
29 Feb 2024
Accelerating Sparse Deep Neural Networks
Accelerating Sparse Deep Neural Networks
Asit K. Mishra
J. Latorre
Jeff Pool
Darko Stosic
Dusan Stosic
Ganesh Venkatesh
Chong Yu
Paulius Micikevicius
164
236
0
16 Apr 2021
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Aojun Zhou
Yukun Ma
Junnan Zhu
Jianbo Liu
Zhijie Zhang
Kun Yuan
Wenxiu Sun
Hongsheng Li
207
248
0
08 Feb 2021
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
Kang-jik Kim
Hee Seok Lee
165
398
0
16 Jul 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language
  Processing
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Hanrui Wang
Zhanghao Wu
Zhijian Liu
Han Cai
Ligeng Zhu
Chuang Gan
Song Han
91
262
0
28 May 2020
Designing Network Design Spaces
Designing Network Design Spaces
Ilija Radosavovic
Raj Prateek Kosaraju
Ross B. Girshick
Kaiming He
Piotr Dollár
GNN
107
1,697
0
30 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
88
728
0
24 Feb 2020
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
169
1,551
0
05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
568
42,677
0
03 Dec 2019
Neural Network Pruning with Residual-Connections and Limited-Data
Neural Network Pruning with Residual-Connections and Limited-Data
Jian-Hao Luo
Jianxin Wu
68
114
0
19 Nov 2019
Benanza: Automatic $μ$Benchmark Generation to Compute "Lower-bound"
  Latency and Inform Optimizations of Deep Learning Models on GPUs
Benanza: Automatic μμμBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
Cheng-rong Li
Abdul Dakkak
Jinjun Xiong
Wen-mei W. Hwu
73
11
0
16 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
79
251
0
18 Sep 2019
Importance Estimation for Neural Network Pruning
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
92
885
0
25 Jun 2019
Approximated Oracle Filter Pruning for Destructive CNN Width
  Optimization
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
Xiaohan Ding
Guiguang Ding
Yuchen Guo
Jiawei Han
C. Yan
AAML
60
125
0
12 May 2019
Centripetal SGD for Pruning Very Deep Convolutional Networks with
  Complicated Structure
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure
Xiaohan Ding
Guiguang Ding
Yuchen Guo
Jiawei Han
3DPC
53
183
0
08 Apr 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Zechun Liu
Haoyuan Mu
Xiangyu Zhang
Zichao Guo
Xin Yang
K. Cheng
Jian Sun
85
563
0
25 Mar 2019
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Chenchen Zhu
Yihui He
Marios Savvides
ObjD
84
797
0
02 Mar 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
90
556
0
21 Dec 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
AAML3DPC
98
1,050
0
01 Nov 2018
Discrimination-aware Channel Pruning for Deep Neural Networks
Discrimination-aware Channel Pruning for Deep Neural Networks
Zhuangwei Zhuang
Mingkui Tan
Bohan Zhuang
Jing Liu
Yong Guo
Qingyao Wu
Junzhou Huang
Jin-Hui Zhu
134
601
0
28 Oct 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
AAMLVLM
74
965
0
21 Aug 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
109
1,349
0
10 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel
  Pruning of Convolution Layers
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye
Xin Lu
Zhe Lin
Jianmin Wang
88
408
0
01 Feb 2018
Faster gaze prediction with dense networks and Fisher pruning
Faster gaze prediction with dense networks and Fisher pruning
Lucas Theis
I. Korshunova
Alykhan Tejani
Ferenc Huszár
74
207
0
17 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
218
19,353
0
13 Jan 2018
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
74
800
0
16 Nov 2017
Learning Efficient Convolutional Networks through Network Slimming
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
138
2,427
0
22 Aug 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
58
1,761
0
20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
210
2,531
0
19 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
122
563
0
05 Jul 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain
  Surgeon
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Luna Dong
Shangyu Chen
Sinno Jialin Pan
188
507
0
22 May 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
491
22,158
0
09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
524
10,358
0
16 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
195
3,707
0
31 Aug 2016
Dynamic Network Surgery for Efficient DNNs
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo
Anbang Yao
Yurong Chen
84
1,060
0
16 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
199
2,341
0
12 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,864
0
01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
316
6,709
0
08 Jun 2015
Fast ConvNets Using Group-wise Brain Damage
Fast ConvNets Using Group-wise Brain Damage
V. Lebedev
Victor Lempitsky
AAML
201
449
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
535
62,477
0
04 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,575
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
437
43,875
0
01 May 2014
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