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Rethinking the Smaller-Norm-Less-Informative Assumption in Channel
  Pruning of Convolution Layers
v1v2 (latest)

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

1 February 2018
Jianbo Ye
Xin Lu
Zhe Lin
Chao Guo
ArXiv (abs)PDFHTML

Papers citing "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"

50 / 198 papers shown
Title
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Shiva Sreeram
Alaa Maalouf
Pratyusha Sharma
Daniela Rus
92
0
0
23 Oct 2025
One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression
One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression
Mikołaj Janusz
Tomasz Wojnar
Yawei Li
Luca Benini
Kamil Adamczewski
VLM
94
2
0
19 Aug 2025
VLCD: Vision-Language Contrastive Distillation for Accurate and Efficient Automatic Placenta Analysis
VLCD: Vision-Language Contrastive Distillation for Accurate and Efficient Automatic Placenta Analysis
Manas Mehta
Yimu Pan
Kelly Gallagher
Alison D. Gernand
Jeffery A. Goldstein
Delia Mwinyelle
Leena Mithal
J. Z. Wang
110
0
0
02 Jun 2025
Smooth Model Compression without Fine-Tuning
Smooth Model Compression without Fine-Tuning
Christina Runkel
Natacha Kuete Meli
Jovita Lukasik
A. Biguri
Carola-Bibiane Schönlieb
Michael Moeller
169
0
0
30 May 2025
Optimal Brain Apoptosis
Optimal Brain ApoptosisInternational Conference on Learning Representations (ICLR), 2025
Mingyuan Sun
Zheng Fang
Jiaxu Wang
Junjie Jiang
Delei Kong
Chenming Hu
Yuetong Fang
Zhanchen Zhu
AAML
283
2
0
25 Feb 2025
Optimal ablation for interpretability
Optimal ablation for interpretabilityNeural Information Processing Systems (NeurIPS), 2024
Maximilian Li
Lucas Janson
FAtt
295
9
0
16 Sep 2024
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Ruizi Han
Jinglei Tang
201
3
0
19 Jul 2024
Isomorphic Pruning for Vision Models
Isomorphic Pruning for Vision Models
Gongfan Fang
Xinyin Ma
Michael Bi Mi
Xinchao Wang
VLMViT
188
17
0
05 Jul 2024
MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and
  Spatial-Frequency Information Fusion
MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion
Jing Zou
Lanqing Liu
Qi Chen
Shujun Wang
Zhanli Hu
Xiaohan Xing
Jing Qin
Mamba
182
18
0
27 Jun 2024
A Comprehensive Study of Structural Pruning for Vision Models
A Comprehensive Study of Structural Pruning for Vision Models
Haoling Li
Haoling Li
Mengqi Xue
Gongfan Fang
Sheng Zhou
Zunlei Feng
Huiqiong Wang
Mingli Song
Lechao Cheng
VLM
317
0
0
18 Jun 2024
Subspace Node Pruning
Subspace Node Pruning
Joshua Offergeld
Marcel van Gerven
Nasir Ahmad
221
0
0
26 May 2024
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference
  Cost
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference CostInternational Conference on Learning Representations (ICLR), 2024
Yuan Gao
Weizhong Zhang
Tong Lu
Lin Ma
Jin-Gang Yu
Gui-Song Xia
Jiayi Ma
152
1
0
09 May 2024
Lightweight Deep Learning for Resource-Constrained Environments: A
  Survey
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
275
135
0
08 Apr 2024
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of
  Neurons
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
Simon Dufort-Labbé
P. DÓro
Evgenii Nikishin
Razvan Pascanu
Pierre-Luc Bacon
A. Baratin
259
4
0
12 Mar 2024
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
239
0
0
29 Feb 2024
REPrune: Channel Pruning via Kernel Representative Selection
REPrune: Channel Pruning via Kernel Representative Selection
Mincheol Park
Dongjin Kim
Cheonjun Park
Yuna Park
Gyeong Eun Gong
Won Woo Ro
Suhyun Kim
VLM
198
2
0
27 Feb 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware
  Quantization Training
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
Lianbo Ma
Yuee Zhou
Jianlun Ma
Guo-Ding Yu
Qing Li
MQ
143
5
0
30 Jan 2024
Cooperative Learning for Cost-Adaptive Inference
Cooperative Learning for Cost-Adaptive Inference
Xingli Fang
Richard M. Bradford
Jung-Eun Kim
264
1
0
13 Dec 2023
Contrastive Learning-Based Spectral Knowledge Distillation for
  Multi-Modality and Missing Modality Scenarios in Semantic Segmentation
Contrastive Learning-Based Spectral Knowledge Distillation for Multi-Modality and Missing Modality Scenarios in Semantic Segmentation
Aniruddh Sikdar
Jayant Teotia
Suresh Sundaram
278
4
0
04 Dec 2023
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle
  Imagery: Review and Experimental Comparisons
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental ComparisonsEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023
Chenjie Zhao
Ryan Wen Liu
Jingxiang Qu
Ruobin Gao
155
72
0
14 Nov 2023
Going Beyond Neural Network Feature Similarity: The Network Feature
  Complexity and Its Interpretation Using Category Theory
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category TheoryInternational Conference on Learning Representations (ICLR), 2023
Yiting Chen
Zhanpeng Zhou
Junchi Yan
220
10
0
10 Oct 2023
Denoising Diffusion Step-aware Models
Denoising Diffusion Step-aware ModelsInternational Conference on Learning Representations (ICLR), 2023
Shuai Yang
Yukang Chen
Luozhou Wang
Shu Liu
Ying-Cong Chen
DiffM
341
22
0
05 Oct 2023
Highly Efficient SNNs for High-speed Object Detection
Highly Efficient SNNs for High-speed Object DetectionBritish Machine Vision Conference (BMVC), 2023
Nemin Qiu
Zhiguo Li
Yuan Li
Chuang Zhu
217
0
0
27 Sep 2023
Influence Function Based Second-Order Channel Pruning-Evaluating True
  Loss Changes For Pruning Is Possible Without Retraining
Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without RetrainingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Hongrong Cheng
Miao Zhang
Javen Qinfeng Shi
AAML
160
6
0
13 Aug 2023
Resource Constrained Model Compression via Minimax Optimization for
  Spiking Neural Networks
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural NetworksACM Multimedia (ACM MM), 2023
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Chen Zhang
137
6
0
09 Aug 2023
D-Score: A Synapse-Inspired Approach for Filter Pruning
D-Score: A Synapse-Inspired Approach for Filter Pruning
Doyoung Park
Jinsoo Kim
Ji-Min Nam
Jooyoung Chang
S. Park
86
0
0
08 Aug 2023
Unlocking the Emotional World of Visual Media: An Overview of the
  Science, Research, and Impact of Understanding Emotion
Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding EmotionProceedings of the IEEE (Proc. IEEE), 2023
James Z. Wang
Sicheng Zhao
Chenyan Wu
Reginald B. Adams
M. Newman
T. Shafir
Rachelle Tsachor
304
52
0
25 Jul 2023
Differentiable Transportation Pruning
Differentiable Transportation PruningIEEE International Conference on Computer Vision (ICCV), 2023
Yun-qiang Li
Jan van Gemert
Torsten Hoefler
Bert Moons
E. Eleftheriou
Bram-Ernst Verhoef
OT
237
14
0
17 Jul 2023
Structured Network Pruning by Measuring Filter-wise Interactions
Structured Network Pruning by Measuring Filter-wise Interactions
Wenting Tang
Xingxing Wei
Yue Liu
146
0
0
03 Jul 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
Hao Wu
Jiao Xie
Baochang Zhang
Chunjiang Ge
Zhou Yu
Jungong Han
David Doermann
158
3
0
01 Jul 2023
Homological Neural Networks: A Sparse Architecture for Multivariate
  Complexity
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
Yuanrong Wang
Antonio Briola
T. Aste
152
7
0
27 Jun 2023
Improving Knowledge Distillation via Regularizing Feature Norm and
  Direction
Improving Knowledge Distillation via Regularizing Feature Norm and Direction
Yuzhu Wang
Lechao Cheng
Manni Duan
Yongheng Wang
Zunlei Feng
Shu Kong
178
28
0
26 May 2023
Structural Pruning for Diffusion Models
Structural Pruning for Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Gongfan Fang
Xinyin Ma
Xinchao Wang
292
184
0
18 May 2023
Efficient CNNs via Passive Filter Pruning
Efficient CNNs via Passive Filter PruningIEEE Transactions on Audio, Speech, and Language Processing (IEEE TASLP), 2023
Arshdeep Singh
Mark D. Plumbley
106
3
0
05 Apr 2023
Progressive Channel-Shrinking Network
Progressive Channel-Shrinking NetworkIEEE transactions on multimedia (IEEE TMM), 2023
Jianhong Pan
Siyuan Yang
Lin Geng Foo
Qiuhong Ke
Hossein Rahmani
Zhipeng Fan
Jing Liu
153
4
0
01 Apr 2023
Protective Self-Adaptive Pruning to Better Compress DNNs
Protective Self-Adaptive Pruning to Better Compress DNNs
Liang Li
Pengfei Zhao
AAML
116
0
0
21 Mar 2023
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
Greedy Pruning with Group Lasso Provably Generalizes for Matrix SensingNeural Information Processing Systems (NeurIPS), 2023
Nived Rajaraman
Devvrit
Aryan Mokhtari
Kannan Ramchandran
220
2
0
20 Mar 2023
Dynamic Structure Pruning for Compressing CNNs
Dynamic Structure Pruning for Compressing CNNsAAAI Conference on Artificial Intelligence (AAAI), 2023
Jun-Hyung Park
Yeachan Kim
Junho Kim
Joon-Young Choi
SangKeun Lee
GNN
121
22
0
17 Mar 2023
Filter Pruning based on Information Capacity and Independence
Filter Pruning based on Information Capacity and IndependenceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Xiaolong Tang
Shuo Ye
Yufeng Shi
Tianheng Hu
Qinmu Peng
Xinge You
VLM
214
4
0
07 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Structured Pruning for Deep Convolutional Neural Networks: A surveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang He
Lingao Xiao
3DPC
324
243
0
01 Mar 2023
WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional
  Neural Networks
WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Shaowu Chen
Weize Sun
Lei Huang
135
13
0
16 Feb 2023
DepGraph: Towards Any Structural Pruning
DepGraph: Towards Any Structural PruningComputer Vision and Pattern Recognition (CVPR), 2023
Gongfan Fang
Xinyin Ma
Weilong Dai
Michael Bi Mi
Xinchao Wang
GNN
343
393
0
30 Jan 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
162
2
0
26 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 TransformerAAAI Conference on Artificial Intelligence (AAAI), 2023
Miao Yin
Burak Uzkent
Yilin Shen
Hongxia Jin
Bo Yuan
ViT
208
20
0
13 Jan 2023
Soft Masking for Cost-Constrained Channel Pruning
Soft Masking for Cost-Constrained Channel PruningEuropean Conference on Computer Vision (ECCV), 2022
Ryan Humble
Maying Shen
J. Latorre
Eric Darve1
J. Álvarez
133
16
0
04 Nov 2022
Exploring the Effects of Channel Sparsity on Neural Network Pruning for
  Acoustic Scene Classification
Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification
Yiqian Cai
Shengchen Li
147
0
0
28 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 pruningNeurocomputing (Neurocomputing), 2022
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
162
9
0
27 Sep 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No
  Assumptions
Pruning Neural Networks via Coresets and Convex Geometry: Towards No AssumptionsNeural Information Processing Systems (NeurIPS), 2022
M. Tukan
Loay Mualem
Alaa Maalouf
3DPC
163
26
0
18 Sep 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks
Entropy Induced Pruning Framework for Convolutional Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Yihe Lu
Ziyu Guan
Yaming Yang
Maoguo Gong
Ziyu Guan
Kaiyuan Feng
165
5
0
13 Aug 2022
Trainability Preserving Neural Pruning
Trainability Preserving Neural PruningInternational Conference on Learning Representations (ICLR), 2022
Huan Wang
Yun Fu
AAML
158
23
0
25 Jul 2022
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