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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
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
Hyper-Compression: Model Compression via Hyperfunction
Hyper-Compression: Model Compression via Hyperfunction
Fenglei Fan
Juntong Fan
Dayang Wang
Jingbo Zhang
Zelin Dong
Shijun Zhang
Ge Wang
Tieyong Zeng
24
0
0
01 Sep 2024
MPruner: Optimizing Neural Network Size with CKA-Based Mutual
  Information Pruning
MPruner: Optimizing Neural Network Size with CKA-Based Mutual Information Pruning
Seungbeom Hu
ChanJun Park
Andrew Ferraiuolo
Sang-Ki Ko
Jinwoo Kim
Haein Song
Jieung Kim
16
1
0
24 Aug 2024
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs
Kiran Purohit
Anurag Parvathgari
Sourangshu Bhattacharya
VLM
33
0
0
22 Aug 2024
An Effective Information Theoretic Framework for Channel Pruning
An Effective Information Theoretic Framework for Channel Pruning
Yihao Chen
Zefang Wang
41
2
0
14 Aug 2024
Infra-YOLO: Efficient Neural Network Structure with Model Compression
  for Real-Time Infrared Small Object Detection
Infra-YOLO: Efficient Neural Network Structure with Model Compression for Real-Time Infrared Small Object Detection
Zhonglin Chen
Anyu Geng
Jianan Jiang
Jiwu Lu
Di Wu
ObjD
30
0
0
14 Aug 2024
Comb, Prune, Distill: Towards Unified Pruning for Vision Model
  Compression
Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression
Jonas Schmitt
Ruiping Liu
Junwei Zheng
Jiaming Zhang
Rainer Stiefelhagen
VLM
28
0
0
06 Aug 2024
An Efficient Real-Time Object Detection Framework on
  Resource-Constricted Hardware Devices via Software and Hardware Co-design
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design
Mingshuo Liu
Shiyi Luo
Kevin Han
Magno T. M. Silva
R. Demara
A. H. Sayed
ObjD
26
13
0
02 Aug 2024
Toward Efficient Permutation for Hierarchical N:M Sparsity on GPUs
Toward Efficient Permutation for Hierarchical N:M Sparsity on GPUs
Seungmin Yu
Xiaodie Yi
Hayun Lee
Dongkun Shin
24
1
0
30 Jul 2024
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of
  Learnable Binary Vectors
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
MQ
43
0
0
16 Jul 2024
Improving Knowledge Distillation in Transfer Learning with Layer-wise
  Learning Rates
Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates
Shirley Kokane
M. R. Uddin
Min Xu
26
1
0
05 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
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
Kaixin Xu
Zhe Wang
Chunyun Chen
Xue Geng
Jie Lin
Xulei Yang
Min-man Wu
Min Wu
Xiaoli Li
Weisi Lin
ViT
VLM
49
7
0
02 Jul 2024
Pruning One More Token is Enough: Leveraging Latency-Workload
  Non-Linearities for Vision Transformers on the Edge
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge
Nick Eliopoulos
Purvish Jajal
James Davis
Gaowen Liu
George K. Thiravathukal
Yung-Hsiang Lu
38
1
0
01 Jul 2024
DIR-BHRNet: A Lightweight Network for Real-time Vision-based
  Multi-person Pose Estimation on Smartphones
DIR-BHRNet: A Lightweight Network for Real-time Vision-based Multi-person Pose Estimation on Smartphones
Gongjin Lan
Yu Wu
Qi Hao
3DH
24
3
0
01 Jul 2024
SCOPE: Stochastic Cartographic Occupancy Prediction Engine for
  Uncertainty-Aware Dynamic Navigation
SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation
Zhanteng Xie
P. Dames
39
1
0
28 Jun 2024
RepAct: The Re-parameterizable Adaptive Activation Function
RepAct: The Re-parameterizable Adaptive Activation Function
Xian Wu
Qingchuan Tao
Shuang Wang
41
0
0
28 Jun 2024
Finding Transformer Circuits with Edge Pruning
Finding Transformer Circuits with Edge Pruning
Adithya Bhaskar
Alexander Wettig
Dan Friedman
Danqi Chen
62
17
0
24 Jun 2024
Rethinking Pruning Large Language Models: Benefits and Pitfalls of
  Reconstruction Error Minimization
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
Sungbin Shin
Wonpyo Park
Jaeho Lee
Namhoon Lee
38
1
0
21 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
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large
  Language Models
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Xiang Meng
Kayhan Behdin
Haoyue Wang
Rahul Mazumder
42
3
0
12 Jun 2024
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure
Minghao Yang
Linlin Gao
Pengyuan Li
Wenbo Li
Yihong Dong
Zhiying Cui
34
1
0
06 Jun 2024
Robust Knowledge Distillation Based on Feature Variance Against
  Backdoored Teacher Model
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model
Jinyin Chen
Xiaoming Zhao
Haibin Zheng
Xiao Li
Sheng Xiang
Haifeng Guo
AAML
25
3
0
01 Jun 2024
Investigating Calibration and Corruption Robustness of Post-hoc Pruned
  Perception CNNs: An Image Classification Benchmark Study
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study
Pallavi Mitra
Gesina Schwalbe
Nadja Klein
AAML
36
1
0
31 May 2024
STAT: Shrinking Transformers After Training
STAT: Shrinking Transformers After Training
Megan Flynn
Alexander Wang
Dean Edward Alvarez
Christopher De Sa
Anil Damle
31
2
0
29 May 2024
Subspace Node Pruning
Subspace Node Pruning
Joshua Offergeld
Marcel van Gerven
Nasir Ahmad
38
0
0
26 May 2024
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference
  Cost
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
Yuan Gao
Weizhong Zhang
Wenhan Luo
Lin Ma
Jin-Gang Yu
Gui-Song Xia
Jiayi Ma
29
1
0
09 May 2024
COPAL: Continual Pruning in Large Language Generative Models
COPAL: Continual Pruning in Large Language Generative Models
Srikanth Malla
Joon Hee Choi
Chiho Choi
VLM
CLL
32
1
0
02 May 2024
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank
  Learning
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning
D. Coquelin
Katherina Flügel
Marie Weiel
Nicholas Kiefer
Muhammed Öz
Charlotte Debus
Achim Streit
Markus Goetz
41
0
0
02 May 2024
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at
  Initialization
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization
Bailey J. Eccles
Leon Wong
Blesson Varghese
33
2
0
22 Apr 2024
Data-independent Module-aware Pruning for Hierarchical Vision
  Transformers
Data-independent Module-aware Pruning for Hierarchical Vision Transformers
Yang He
Joey Tianyi Zhou
ViT
50
3
0
21 Apr 2024
SNP: Structured Neuron-level Pruning to Preserve Attention Scores
SNP: Structured Neuron-level Pruning to Preserve Attention Scores
Kyunghwan Shim
Jaewoong Yun
Shinkook Choi
25
0
0
18 Apr 2024
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural
  Networks
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks
Sreyes P. Venkatesh
Razvan Marinescu
Jason Eshraghian
MQ
35
5
0
15 Apr 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
34
3
0
10 Apr 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
55
48
0
08 Apr 2024
Towards Generalized Entropic Sparsification for Convolutional Neural
  Networks
Towards Generalized Entropic Sparsification for Convolutional Neural Networks
Tin Barisin
I. Horenko
16
1
0
06 Apr 2024
Separate, Dynamic and Differentiable (SMART) Pruner for Block/Output
  Channel Pruning on Computer Vision Tasks
Separate, Dynamic and Differentiable (SMART) Pruner for Block/Output Channel Pruning on Computer Vision Tasks
Guanhua Ding
Zexi Ye
Zhen Zhong
Gang Li
David Shao
36
0
0
29 Mar 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and
  Alignment
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
Alireza Ganjdanesh
Shangqian Gao
Heng-Chiao Huang
36
5
0
28 Mar 2024
Tiny Machine Learning: Progress and Futures
Tiny Machine Learning: Progress and Futures
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Song Han
44
51
0
28 Mar 2024
The Unreasonable Ineffectiveness of the Deeper Layers
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
43
79
0
26 Mar 2024
Block Selective Reprogramming for On-device Training of Vision
  Transformers
Block Selective Reprogramming for On-device Training of Vision Transformers
Sreetama Sarkar
Souvik Kundu
Kai Zheng
P. Beerel
37
2
0
25 Mar 2024
Tensor network compressibility of convolutional models
Tensor network compressibility of convolutional models
Sukhbinder Singh
S. Jahromi
Roman Orus
25
2
0
21 Mar 2024
EffiPerception: an Efficient Framework for Various Perception Tasks
EffiPerception: an Efficient Framework for Various Perception Tasks
Xinhao Xiang
Simon Dräger
Jiawei Zhang
VLM
35
0
0
18 Mar 2024
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by
  Training Randomly Pruned Sparse Experts
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts
Murat Onur Yildirim
Elif Ceren Gok Yildirim
D. Mocanu
Joaquin Vanschoren
CLL
41
0
0
13 Mar 2024
AutoDFP: Automatic Data-Free Pruning via Channel Similarity
  Reconstruction
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction
Siqi Li
Jun Chen
Jingyang Xiang
Chengrui Zhu
Yong-Jin Liu
31
0
0
13 Mar 2024
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
Aozhong Zhang
Zi Yang
Naigang Wang
Yingyong Qin
Jack Xin
Xin Li
Penghang Yin
VLM
MQ
38
3
0
11 Mar 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
Xiang Meng
Wenyu Chen
Riade Benbaki
Rahul Mazumder
22
3
0
11 Mar 2024
Enhanced Sparsification via Stimulative Training
Enhanced Sparsification via Stimulative Training
Shengji Tang
Weihao Lin
Hancheng Ye
Peng Ye
Chong Yu
Baopu Li
Tao Chen
40
2
0
11 Mar 2024
Frequency Attention for Knowledge Distillation
Frequency Attention for Knowledge Distillation
Cuong Pham
Van-Anh Nguyen
Trung Le
Dinh Q. Phung
Gustavo Carneiro
Thanh-Toan Do
27
16
0
09 Mar 2024
A Survey of Lottery Ticket Hypothesis
A Survey of Lottery Ticket Hypothesis
Bohan Liu
Zijie Zhang
Peixiong He
Zhensen Wang
Yang Xiao
Ruimeng Ye
Yang Zhou
Wei-Shinn Ku
Bo Hui
UQCV
37
12
0
07 Mar 2024
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