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1811.00250
Cited By
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
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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
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
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
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
Giulia Fracastoro
Sophie M. Fosson
Andrea Migliorati
G. Calafiore
40
1
0
19 Jan 2025
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Ruizi Han
Jinglei Tang
45
1
0
19 Jul 2024
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
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
Xitong Zhang
Ismail R. Alkhouri
Rongrong Wang
35
0
0
06 May 2024
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
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
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
Konstantinos Gkrispanis
Nikolaos Gkalelis
Vasileios Mezaris
VLM
CVBM
25
3
0
28 Nov 2023
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
Lihui Xue
Zhihao Wang
Xueqian Wang
Gang Li
35
1
0
16 Oct 2023
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
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
25
3
0
09 Aug 2023
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
Shitian Li
Chunlin Tian
Kahou Tam
Ruirui Ma
Li Li
21
2
0
17 Jun 2023
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
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
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
Kaiqi Zhao
Animesh Jain
Ming Zhao
19
9
0
14 Mar 2023
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
Athul Shibu
Abhishek Kumar
Heechul Jung
Dong-Gyu Lee
9
1
0
26 Jan 2023
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
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
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
M. Gabbouj
AI4CE
26
7
0
03 Jan 2023
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
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
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
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
26
5
0
27 Sep 2022
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
Arshdeep Singh
Mark D. Plumbley
28
4
0
23 Jul 2022
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
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
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
E. Passov
E. David
N. Netanyahu
AAML
37
0
0
30 May 2022
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
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
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
Seunghyun Lee
B. Song
19
8
0
05 Mar 2022
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
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
M. Gabbouj
25
10
0
09 Feb 2022
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
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
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
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
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
Zhehui Wang
Tao Luo
Rick Siow Mong Goh
Wei Zhang
Weng-Fai Wong
13
1
0
01 Dec 2021
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