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Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

1 November 2018
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
    AAML
    3DPC
ArXivPDFHTML

Papers citing "Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration"

50 / 109 papers shown
Title
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Qi Le
Enmao Diao
Ziyan Wang
Xinran Wang
Jie Ding
Li Yang
Ali Anwar
71
1
0
24 Feb 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency
Advancing Weight and Channel Sparsification with Enhanced Saliency
Xinglong Sun
Maying Shen
Hongxu Yin
Lei Mao
Pavlo Molchanov
Jose M. Alvarez
48
1
0
05 Feb 2025
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning
Nikolaos Kaparinos
Vasileios Mezaris
CVBM
50
0
0
28 Jan 2025
Hardware-Aware DNN Compression for Homogeneous Edge Devices
Kunlong Zhang
Guiying Li
Ning Lu
Peng Yang
K. Tang
46
0
0
28 Jan 2025
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
40
1
0
19 Jan 2025
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Ruizi Han
Jinglei Tang
45
1
0
19 Jul 2024
Isomorphic Pruning for Vision Models
Isomorphic Pruning for Vision Models
Gongfan Fang
Xinyin Ma
Michael Bi Mi
Xinchao Wang
VLM
ViT
34
6
0
05 Jul 2024
A Generic Layer Pruning Method for Signal Modulation Recognition Deep
  Learning Models
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
Yao Lu
Yutao Zhu
Yuqi Li
Dongwei Xu
Yun Lin
Qi Xuan
Xiaoniu Yang
30
5
0
12 Jun 2024
Structure-Preserving Network Compression Via Low-Rank Induced Training
  Through Linear Layers Composition
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition
Xitong Zhang
Ismail R. Alkhouri
Rongrong Wang
35
0
0
06 May 2024
ONNXPruner: ONNX-Based General Model Pruning Adapter
ONNXPruner: ONNX-Based General Model Pruning Adapter
Dongdong Ren
Wenbin Li
Tianyu Ding
Lei Wang
Qi Fan
Jing Huo
Hongbing Pan
Yang Gao
31
3
0
10 Apr 2024
Towards Meta-Pruning via Optimal Transport
Towards Meta-Pruning via Optimal Transport
Alexander Theus
Olin Geimer
Friedrich Wicke
Thomas Hofmann
Sotiris Anagnostidis
Sidak Pal Singh
MoMe
18
3
0
12 Feb 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network
MaxQ: Multi-Axis Query for N:M Sparsity Network
Jingyang Xiang
Siqi Li
Junhao Chen
Zhuangzhi Chen
Tianxin Huang
Linpeng Peng
Yong-Jin Liu
16
0
0
12 Dec 2023
Filter-Pruning of Lightweight Face Detectors Using a Geometric Median
  Criterion
Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion
Konstantinos Gkrispanis
Nikolaos Gkalelis
Vasileios Mezaris
VLM
CVBM
25
3
0
28 Nov 2023
Pursing the Sparse Limitation of Spiking Deep Learning Structures
Pursing the Sparse Limitation of Spiking Deep Learning Structures
Hao-Ran Cheng
Jiahang Cao
Erjia Xiao
Mengshu Sun
Le Yang
Jize Zhang
Xue Lin
B. Kailkhura
Kaidi Xu
Renjing Xu
16
1
0
18 Nov 2023
The Road to On-board Change Detection: A Lightweight Patch-Level Change
  Detection Network via Exploring the Potential of Pruning and Pooling
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling
Lihui Xue
Zhihao Wang
Xueqian Wang
Gang Li
35
1
0
16 Oct 2023
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
22
1
0
10 Oct 2023
Resource Constrained Model Compression via Minimax Optimization for
  Spiking Neural Networks
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
25
3
0
09 Aug 2023
Geometric Pooling: maintaining more useful information
Geometric Pooling: maintaining more useful information
Hao Xu
Jia Liu
Yang Shen
Kenan Lou
Yanxia Bao
Ruihua Zhang
Shuyue Zhou
Hongsen Zhao
Shuai Wang
27
0
0
21 Jun 2023
Breaking On-device Training Memory Wall: A Systematic Survey
Breaking On-device Training Memory Wall: A Systematic Survey
Shitian Li
Chunlin Tian
Kahou Tam
Ruirui Ma
Li Li
21
2
0
17 Jun 2023
Network Pruning Spaces
Network Pruning Spaces
Xuanyu He
Yu-I Yang
Ran Song
Jiachen Pu
Conggang Hu
Feijun Jiang
Wei Zhang
Huanghao Ding
3DPC
27
0
0
19 Apr 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped
  Convolution
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution
Z. Su
Jiehua Zhang
Tianpeng Liu
Zhen Liu
Shuanghui Zhang
M. Pietikäinen
Li Liu
27
2
0
13 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-Wen Zhang
Tao Chen
Jiayuan Fan
Bin Wang
29
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
19
9
0
14 Mar 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay
EVC: Towards Real-Time Neural Image Compression with Mask Decay
G. Wang
Jiahao Li
Bin Li
Yan Lu
22
63
0
10 Feb 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
9
1
0
26 Jan 2023
Learnable Heterogeneous Convolution: Learning both topology and strength
Learnable Heterogeneous Convolution: Learning both topology and strength
Rongzhen Zhao
Zhenzhi Wu
Qikun Zhang
24
6
0
13 Jan 2023
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous
  Structured Pruning for Vision Transformer
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
Miao Yin
Burak Uzkent
Yilin Shen
Hongxia Jin
Bo Yuan
ViT
24
13
0
13 Jan 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
M. Gabbouj
AI4CE
26
7
0
03 Jan 2023
Boosted Dynamic Neural Networks
Boosted Dynamic Neural Networks
Haichao Yu
Haoxiang Li
G. Hua
Gao Huang
Humphrey Shi
30
7
0
30 Nov 2022
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker
  Decomposition
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Lizhi Xiang
Miao Yin
Chengming Zhang
Aravind Sukumaran-Rajam
P. Sadayappan
Bo Yuan
Dingwen Tao
3DV
18
8
0
07 Nov 2022
Pruning by Active Attention Manipulation
Pruning by Active Attention Manipulation
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
19
0
0
20 Oct 2022
Sauron U-Net: Simple automated redundancy elimination in medical image
  segmentation via filter pruning
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
26
5
0
27 Sep 2022
Neural Networks Reduction via Lumping
Neural Networks Reduction via Lumping
Dalila Ressi
Riccardo Romanello
S. Rossi
Carla Piazza
30
4
0
15 Sep 2022
Low-complexity CNNs for Acoustic Scene Classification
Low-complexity CNNs for Acoustic Scene Classification
Arshdeep Singh
Mark D. Plumbley
28
4
0
23 Jul 2022
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs
Bo-Kyeong Kim
Shinkook Choi
Hancheol Park
13
4
0
29 Jun 2022
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile
  Devices
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Xiang Yang
Zikang Xu
Q. Qi
Jingyu Wang
Haifeng Sun
J. Liao
Song Guo
16
11
0
17 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
28
18
0
02 Jun 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating
Gator: Customizable Channel Pruning of Neural Networks with Gating
E. Passov
E. David
N. Netanyahu
AAML
37
0
0
30 May 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
21
81
0
11 May 2022
E^2TAD: An Energy-Efficient Tracking-based Action Detector
E^2TAD: An Energy-Efficient Tracking-based Action Detector
Xin Hu
Zhenyu Wu
Haoyuan Miao
Siqi Fan
Taiyu Long
...
Pengcheng Pi
Yi Wu
Zhou Ren
Zhangyang Wang
G. Hua
21
2
0
09 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and
  Structured Sparsification
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
28
11
0
06 Apr 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
19
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
32
37
0
22 Feb 2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
M. Gabbouj
25
10
0
09 Feb 2022
Accelerating DNN Training with Structured Data Gradient Pruning
Accelerating DNN Training with Structured Data Gradient Pruning
Bradley McDanel
Helia Dinh
J. Magallanes
4
7
0
01 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
19
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
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
Rui Han
Qinglong Zhang
C. Liu
Guoren Wang
Jian Tang
L. Chen
19
43
0
18 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
21
8
0
02 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology
Optimizing for In-memory Deep Learning with Emerging Memory Technology
Zhehui Wang
Tao Luo
Rick Siow Mong Goh
Wei Zhang
Weng-Fai Wong
13
1
0
01 Dec 2021
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