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Channel Pruning for Accelerating Very Deep Neural Networks

Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017
Yihui He
Xiangyu Zhang
Jian-jun Sun
ArXivPDFHTML

Papers citing "Channel Pruning for Accelerating Very Deep Neural Networks"

50 / 1,090 papers shown
Title
Optimizing Deep Neural Networks using Safety-Guided Self Compression
Optimizing Deep Neural Networks using Safety-Guided Self Compression
Mohammad Zbeeb
Mariam Salman
Mohammad Bazzi
Ammar Mohanna
28
0
0
01 May 2025
DNAD: Differentiable Neural Architecture Distillation
DNAD: Differentiable Neural Architecture Distillation
Xuan Rao
Bo Zhao
Derong Liu
36
1
0
25 Apr 2025
CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices
CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices
Jingxuan Zhou
Weidong Bao
Ji Wang
Zhengyi Zhong
32
0
0
14 Apr 2025
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
Yi Hu
Jinhang Zuo
Eddie Zhang
Bob Iannucci
Carlee Joe-Wong
32
0
0
13 Apr 2025
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
Huu-Phong Phan-Nguyen
Anh Dao
T. Nguyen
Tuan Quang
H. Tran
Tinh-Anh Nguyen-Nhu
Huy-Thach Pham
Quan Nguyen
Hoang M. Le
Quang-Vinh Dinh
30
0
0
12 Apr 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Kai Wang
Hao Luo
Yibing Song
Gao Huang
Fan Wang
Yang You
69
0
0
09 Apr 2025
AccLLM: Accelerating Long-Context LLM Inference Via Algorithm-Hardware Co-Design
AccLLM: Accelerating Long-Context LLM Inference Via Algorithm-Hardware Co-Design
Yanbiao Liang
Huihong Shi
Haikuo Shao
Zhongfeng Wang
28
0
0
07 Apr 2025
Dynamic Vision Mamba
Dynamic Vision Mamba
Mengxuan Wu
Zekai Li
Zhiyuan Liang
Moyang Li
Xuanlei Zhao
...
Xiaojiang Peng
Konstantinos N. Plataniotis
Kai Wang
Wangbo Zhao
Yang You
Mamba
49
0
0
07 Apr 2025
Real-Time Navigation for Autonomous Aerial Vehicles Using Video
Real-Time Navigation for Autonomous Aerial Vehicles Using Video
Khizar Anjum
Parul Pandey
Vidyasagar Sadhu
Roberto Tron
D. Pompili
44
0
0
01 Apr 2025
Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model
Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model
Abdelrahman M. Shaker
Muhammad Maaz
Chenhui Gou
Hamid Rezatofighi
Salman Khan
F. Khan
139
0
0
27 Mar 2025
Dynamic Gradient Sparse Update for Edge Training
Dynamic Gradient Sparse Update for Edge Training
I-Hsuan Li
Tian-Sheuan Chang
66
1
0
23 Mar 2025
Temporal Action Detection Model Compression by Progressive Block Drop
Temporal Action Detection Model Compression by Progressive Block Drop
Xiaoyong Chen
Yong Guo
Jiaming Liang
Sitong Zhuang
Runhao Zeng
Xiping Hu
55
0
0
21 Mar 2025
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
Kangrui Du
Yuhang Wu
Shikuang Deng
Shi Gu
38
0
0
18 Mar 2025
Changing Base Without Losing Pace: A GPU-Efficient Alternative to MatMul in DNNs
Changing Base Without Losing Pace: A GPU-Efficient Alternative to MatMul in DNNs
Nir Ailon
Akhiad Bercovich
Omri Weinstein
54
0
0
15 Mar 2025
ILLC: Iterative Layer-by-Layer Compression for Enhancing Structural Faithfulness in SpArX
Ungsik Kim
51
0
0
05 Mar 2025
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Tiansheng Wen
Yifei Wang
Zequn Zeng
Zhong Peng
Yudi Su
Xinyang Liu
Bo Chen
Hongwei Liu
Stefanie Jegelka
Chenyu You
CLL
66
3
0
03 Mar 2025
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang
Haris Šikić
Lothar Thiele
O. Saukh
59
0
0
17 Feb 2025
Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition
Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition
Tian-Shuang Wu
Shen-Huan Lyu
Ning Chen
Zhihao Qu
Baoliu Ye
OODD
44
0
0
09 Feb 2025
Training-Free Restoration of Pruned Neural Networks
Training-Free Restoration of Pruned Neural Networks
Keonho Lee
Minsoo Kim
Dong-Wan Choi
52
0
0
06 Feb 2025
Pruning-aware Loss Functions for STOI-Optimized Pruned Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay
Pruning-aware Loss Functions for STOI-Optimized Pruned Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay
Reemt Hinrichs
Jörn Ostermann
91
0
0
04 Feb 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb
T. Weber
Bernd Bischl
David Rügamer
111
0
0
04 Feb 2025
Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
Humaira Kousar
Hasnain Irshad Bhatti
Jaekyun Moon
32
0
0
03 Jan 2025
Holistic Adversarially Robust Pruning
Holistic Adversarially Robust Pruning
Qi Zhao
Christian Wressnegger
77
8
0
19 Dec 2024
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI
  Accelerators
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
Taesik Gong
F. Kawsar
Chulhong Min
67
3
0
09 Dec 2024
Is Oracle Pruning the True Oracle?
Is Oracle Pruning the True Oracle?
Sicheng Feng
Keda Tao
H. Wang
VLM
70
0
0
28 Nov 2024
Deep Convolutional Neural Networks Structured Pruning via Gravity
  Regularization
Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization
Abdesselam Ferdi
110
0
0
25 Nov 2024
Quantization without Tears
Quantization without Tears
Minghao Fu
Hao Yu
Jie Shao
Junjie Zhou
Ke Zhu
Jianxin Wu
MQ
64
1
0
21 Nov 2024
Electrostatic Force Regularization for Neural Structured Pruning
Abdesselam Ferdi
A. Taleb-Ahmed
A. Nakib
Youcef Ferdi
76
1
0
17 Nov 2024
Layer-Adaptive State Pruning for Deep State Space Models
Layer-Adaptive State Pruning for Deep State Space Models
Minseon Gwak
Seongrok Moon
Joohwan Ko
PooGyeon Park
25
0
0
05 Nov 2024
Mutual Information Preserving Neural Network Pruning
Mutual Information Preserving Neural Network Pruning
Charles Westphal
Stephen Hailes
Mirco Musolesi
45
1
0
31 Oct 2024
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep
  Neural Network Inference
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference
Changwoo Lee
Soo Min Kwon
Qing Qu
Hun-Seok Kim
27
0
0
28 Oct 2024
GeoLoRA: Geometric integration for parameter efficient fine-tuning
GeoLoRA: Geometric integration for parameter efficient fine-tuning
Steffen Schotthöfer
Emanuele Zangrando
Gianluca Ceruti
Francesco Tudisco
J. Kusch
AI4CE
26
1
0
24 Oct 2024
Small Contributions, Small Networks: Efficient Neural Network Pruning
  Based on Relative Importance
Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance
Mostafa Hussien
Mahmoud Afifi
K. Nguyen
M. Cheriet
21
0
0
21 Oct 2024
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the
  Hints from Its Router
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router
Yanyue Xie
Zhi Zhang
Ding Zhou
Cong Xie
Ziang Song
Xin Liu
Yanzhi Wang
Xue Lin
An Xu
LLMAG
38
3
0
15 Oct 2024
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing
  Large Deep Models
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models
Yuqi Li
Yao Lu
Zeyu Dong
Chuanguang Yang
Yihao Chen
Jianping Gou
21
2
0
14 Oct 2024
Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix
Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix
Seungwoo Han
18
0
0
14 Oct 2024
Gradient-Free Neural Network Training on the Edge
Gradient-Free Neural Network Training on the Edge
Dotan Di Castro
O. Joglekar
Shir Kozlovsky
Vladimir Tchuiev
Michal Moshkovitz
MQ
14
0
0
13 Oct 2024
Non-transferable Pruning
Non-transferable Pruning
Ruyi Ding
Lili Su
A. A. Ding
Yunsi Fei
AAML
24
2
0
10 Oct 2024
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Wei Huang
Yue Liao
Jianhui Liu
Ruifei He
Haoru Tan
Shiming Zhang
Hongsheng Li
Si Liu
Xiaojuan Qi
MoE
39
3
0
08 Oct 2024
ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large
  Language Model
ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model
Shuhao Gu
Mengdi Zhao
Bowen Zhang
Liangdong Wang
Jijie Li
Guang Liu
25
2
0
06 Oct 2024
Dynamic Diffusion Transformer
Dynamic Diffusion Transformer
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Kai Wang
Yibing Song
Gao Huang
Fan Wang
Yang You
77
11
0
04 Oct 2024
Investigating the Effect of Network Pruning on Performance and Interpretability
Investigating the Effect of Network Pruning on Performance and Interpretability
Jonathan von Rad
Florian Seuffert
28
1
0
29 Sep 2024
CycleBNN: Cyclic Precision Training in Binary Neural Networks
CycleBNN: Cyclic Precision Training in Binary Neural Networks
Federico Fontana
Romeo Lanzino
Anxhelo Diko
G. Foresti
Luigi Cinque
MQ
34
0
0
28 Sep 2024
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
Gongfan Fang
Hongxu Yin
Saurav Muralidharan
Greg Heinrich
Jeff Pool
Jan Kautz
Pavlo Molchanov
Xinchao Wang
35
3
0
26 Sep 2024
CNN Mixture-of-Depths
CNN Mixture-of-Depths
Rinor Cakaj
Jens Mehnert
Bin Yang
21
0
0
25 Sep 2024
Green Federated Learning: A new era of Green Aware AI
Green Federated Learning: A new era of Green Aware AI
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Francesco Piccialli
AI4CE
48
4
0
19 Sep 2024
Less Memory Means smaller GPUs: Backpropagation with Compressed
  Activations
Less Memory Means smaller GPUs: Backpropagation with Compressed Activations
Daniel Barley
Holger Froning
38
0
0
18 Sep 2024
Distilling Channels for Efficient Deep Tracking
Distilling Channels for Efficient Deep Tracking
Shiming Ge
Zhao Luo
Chunhui Zhang
Yingying Hua
Dacheng Tao
25
29
0
18 Sep 2024
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
Yuezhou Hu
Jun-Jie Zhu
Jianfei Chen
36
0
0
13 Sep 2024
Structured Pruning for Efficient Visual Place Recognition
Structured Pruning for Efficient Visual Place Recognition
Oliver Grainge
Michael Milford
I. Bodala
Sarvapali D. Ramchurn
Shoaib Ehsan
43
1
0
12 Sep 2024
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