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Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

21 August 2018
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
    AAML
    VLM
ArXivPDFHTML

Papers citing "Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks"

50 / 114 papers shown
Title
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
Wenhao Hu
Paul Henderson
José Cano
32
0
0
12 May 2025
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model
Navin Ranjan
Andreas E. Savakis
MQ
VLM
68
0
0
08 May 2025
How to Train Your Metamorphic Deep Neural Network
How to Train Your Metamorphic Deep Neural Network
Thomas Sommariva
Simone Calderara
Angelo Porrello
28
0
0
07 May 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
54
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
55
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
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
Tianyi Chen
Xiaoyi Qu
David Aponte
Colby R. Banbury
Jongwoo Ko
Tianyu Ding
Yong Ma
Vladimir Lyapunov
Ilya Zharkov
Luming Liang
83
1
0
11 Sep 2024
Compress and Compare: Interactively Evaluating Efficiency and Behavior
  Across ML Model Compression Experiments
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments
Angie Boggust
Venkatesh Sivaraman
Yannick Assogba
Donghao Ren
Dominik Moritz
Fred Hohman
VLM
55
3
0
06 Aug 2024
Compact Language Models via Pruning and Knowledge Distillation
Compact Language Models via Pruning and Knowledge Distillation
Saurav Muralidharan
Sharath Turuvekere Sreenivas
Raviraj Joshi
Marcin Chochowski
M. Patwary
M. Shoeybi
Bryan Catanzaro
Jan Kautz
Pavlo Molchanov
SyDa
MQ
42
37
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
39
6
0
05 Jul 2024
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Ashish Kumar
Daneul Kim
Jaesik Park
Laxmidhar Behera
41
1
0
16 Jun 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
39
5
0
12 Jun 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
39
3
0
10 Apr 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
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
41
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
24
1
0
10 Oct 2023
CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and
  Favorable Transferability For ViTs
CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs
Ao Wang
Hui Chen
Zijia Lin
Sicheng Zhao
J. Han
Guiguang Ding
ViT
34
6
0
27 Sep 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient
  Channels
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Henry Hengyuan Zhao
Pichao Wang
Yuyang Zhao
Hao Luo
F. Wang
Mike Zheng Shou
ViT
37
14
0
15 Sep 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution
  Generalization
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
Yingchun Wang
Jingcai Guo
Yi Liu
Song Guo
Weizhan Zhang
Xiangyong Cao
Qinghua Zheng
AAML
OODD
31
11
0
19 May 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
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
Less is More: The Influence of Pruning on the Explainability of CNNs
Less is More: The Influence of Pruning on the Explainability of CNNs
David Weber
F. Merkle
Pascal Schöttle
Stephan Schlögl
Martin Nocker
FAtt
34
1
0
17 Feb 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Xiaoying Zhi
Varun Babbar
P. Sun
Fran Silavong
Ruibo Shi
Sean J. Moran
Sean Moran
42
1
0
17 Feb 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
34
20
0
12 Jan 2023
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
Yixing Xu
Xinghao Chen
Yunhe Wang
MQ
27
8
0
29 Dec 2022
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Danyang Liu
Xue Liu
25
0
0
24 Dec 2022
Exploring Optimal Substructure for Out-of-distribution Generalization
  via Feature-targeted Model Pruning
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning
Yingchun Wang
Jingcai Guo
Song Guo
Weizhan Zhang
Jiewei Zhang
OODD
37
16
0
19 Dec 2022
Efficient Stein Variational Inference for Reliable Distribution-lossless
  Network Pruning
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Yingchun Wang
Song Guo
Jingcai Guo
Weizhan Zhang
Yi Tian Xu
Jiewei Zhang
Yi Liu
21
17
0
07 Dec 2022
Pruning by Active Attention Manipulation
Pruning by Active Attention Manipulation
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
22
0
0
20 Oct 2022
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit
  Detectors
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors
Sheng Xu
Yanjing Li
Bo-Wen Zeng
Teli Ma
Baochang Zhang
Xianbin Cao
Penglei Gao
Jinhu Lv
30
15
0
07 Oct 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yihe Lu
Ziyu Guan
Yaming Yang
Maoguo Gong
Wei Zhao
Kaiyuan Feng
38
2
0
13 Aug 2022
Doge Tickets: Uncovering Domain-general Language Models by Playing
  Lottery Tickets
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets
Yi Yang
Chen Zhang
Benyou Wang
Dawei Song
LRM
24
6
0
20 Jul 2022
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Long Zhuo
Guangcong Wang
Shikai Li
Wayne Wu
Ziwei Liu
VGen
53
20
0
11 Jul 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
42
9
0
08 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
18
4
0
06 Jul 2022
Leveraging Structured Pruning of Convolutional Neural Networks
Leveraging Structured Pruning of Convolutional Neural Networks
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
David Bertrand
T. Hannagan
CVBM
19
1
0
13 Jun 2022
Compression-aware Training of Neural Networks using Frank-Wolfe
Compression-aware Training of Neural Networks using Frank-Wolfe
Max Zimmer
Christoph Spiegel
Sebastian Pokutta
29
9
0
24 May 2022
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality
A. Inci
Siri Garudanagiri Virupaksha
Aman Jain
Venkata Vivek Thallam
Ruizhou Ding
Diana Marculescu
MQ
38
2
0
20 May 2022
Perturbation of Deep Autoencoder Weights for Model Compression and
  Classification of Tabular Data
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data
Manar D. Samad
Sakib Abrar
22
12
0
17 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
24
81
0
11 May 2022
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li
Kaixuan Zhang
Radu Timofte
Luc Van Gool
F. Kong
...
Deng-Guang Zhou
Kun Zeng
Han-Yuan Lin
Xinyu Chen
Jin-Tao Fang
SupR
36
77
0
11 May 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
27
2
0
12 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
36
11
0
06 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
21
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
16
3
0
22 Mar 2022
S-Rocket: Selective Random Convolution Kernels for Time Series
  Classification
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
Hojjat Salehinejad
Yang Wang
Yuanhao Yu
Jingshan Tang
S. Valaee
AI4TS
33
15
0
07 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-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
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