ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.08565
  4. Cited By
Channel Pruning via Automatic Structure Search

Channel Pruning via Automatic Structure Search

23 January 2020
Mingbao Lin
Rongrong Ji
Yu-xin Zhang
Baochang Zhang
Yongjian Wu
Yonghong Tian
ArXivPDFHTML

Papers citing "Channel Pruning via Automatic Structure Search"

33 / 33 papers shown
Title
EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models
EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models
Yinan Liang
Z. Wang
Xiuwei Xu
Jie Zhou
Jiwen Lu
VLM
LRM
48
0
0
19 Mar 2025
Characterizing Disparity Between Edge Models and High-Accuracy Base
  Models for Vision Tasks
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks
Zhenyu Wang
S. Nirjon
24
0
0
13 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
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
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
9
1
0
26 Jan 2023
Towards Hardware-Specific Automatic Compression of Neural Networks
Towards Hardware-Specific Automatic Compression of Neural Networks
Torben Krieger
Bernhard Klein
Holger Fröning
MQ
24
2
0
15 Dec 2022
HiveNAS: Neural Architecture Search using Artificial Bee Colony
  Optimization
HiveNAS: Neural Architecture Search using Artificial Bee Colony Optimization
M. Shahawy
E. Benkhelifa
21
1
0
18 Nov 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
43
3
0
22 Aug 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
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter
  Pruning
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
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
ACORT: A Compact Object Relation Transformer for Parameter Efficient
  Image Captioning
ACORT: A Compact Object Relation Transformer for Parameter Efficient Image Captioning
J. Tan
Y. Tan
C. Chan
Joon Huang Chuah
VLM
ViT
24
15
0
11 Feb 2022
GhostNets on Heterogeneous Devices via Cheap Operations
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
Automatic Neural Network Pruning that Efficiently Preserves the Model
  Accuracy
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy
Thibault Castells
Seul-Ki Yeom
3DV
18
3
0
18 Nov 2021
RGP: Neural Network Pruning through Its Regular Graph Structure
RGP: Neural Network Pruning through Its Regular Graph Structure
Zhuangzhi Chen
Jingyang Xiang
Yao Lu
Qi Xuan
Xiaoniu Yang
25
1
0
28 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations
Reconstructing Pruned Filters using Cheap Spatial Transformations
Roy Miles
K. Mikolajczyk
24
0
0
25 Oct 2021
Joint Channel and Weight Pruning for Model Acceleration on Moblie
  Devices
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
Tianli Zhao
Xi Sheryl Zhang
Wentao Zhu
Jiaxing Wang
Sen Yang
Ji Liu
Jian Cheng
53
2
0
15 Oct 2021
Weight Evolution: Improving Deep Neural Networks Training through
  Evolving Inferior Weight Values
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values
Zhenquan Lin
K. Guo
Xiaofen Xing
Xiangmin Xu
ODL
24
1
0
09 Oct 2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint
  Search
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
Jiaqi Li
Haoran Li
Yaran Chen
Zixiang Ding
Nannan Li
Mingjun Ma
Zicheng Duan
Dong Zhao
40
9
0
08 Oct 2021
End-to-End Supermask Pruning: Learning to Prune Image Captioning Models
End-to-End Supermask Pruning: Learning to Prune Image Captioning Models
J. Tan
C. Chan
Joon Huang Chuah
VLM
51
16
0
07 Oct 2021
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
Xiangcheng Liu
Jian Cao
Hongyi Yao
Wenyu Sun
Yuan Zhang
40
2
0
14 Sep 2021
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
Bohong Chen
Mingbao Lin
Rongrong Ji
Liujuan Cao
24
2
0
12 Sep 2021
Training Compact CNNs for Image Classification using Dynamic-coded
  Filter Fusion
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
Mingbao Lin
Bohong Chen
Fei Chao
Rongrong Ji
VLM
25
23
0
14 Jul 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning
CompConv: A Compact Convolution Module for Efficient Feature Learning
Chen Zhang
Yinghao Xu
Yujun Shen
VLM
SSL
8
10
0
19 Jun 2021
1xN Pattern for Pruning Convolutional Neural Networks
1xN Pattern for Pruning Convolutional Neural Networks
Mingbao Lin
Yu-xin Zhang
Yuchao Li
Bohong Chen
Fei Chao
Mengdi Wang
Shen Li
Yonghong Tian
Rongrong Ji
3DPC
33
40
0
31 May 2021
Carrying out CNN Channel Pruning in a White Box
Carrying out CNN Channel Pruning in a White Box
Yu-xin Zhang
Mingbao Lin
Chia-Wen Lin
Jie Chen
Feiyue Huang
Yongjian Wu
Yonghong Tian
R. Ji
VLM
36
58
0
24 Apr 2021
SeReNe: Sensitivity based Regularization of Neurons for Structured
  Sparsity in Neural Networks
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
Enzo Tartaglione
Andrea Bragagnolo
Francesco Odierna
A. Fiandrotti
Marco Grangetto
38
18
0
07 Feb 2021
AACP: Model Compression by Accurate and Automatic Channel Pruning
AACP: Model Compression by Accurate and Automatic Channel Pruning
Lanbo Lin
Yujiu Yang
Zhenhua Guo
MQ
22
12
0
31 Jan 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
K. E. Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
31
96
0
22 Jan 2021
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural
  networks
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
Enzo Tartaglione
Andrea Bragagnolo
A. Fiandrotti
Marco Grangetto
ODL
UQCV
15
34
0
16 Nov 2020
HRank: Filter Pruning using High-Rank Feature Map
HRank: Filter Pruning using High-Rank Feature Map
Mingbao Lin
Rongrong Ji
Yan Wang
Yichen Zhang
Baochang Zhang
Yonghong Tian
Ling Shao
13
714
0
24 Feb 2020
Filter Sketch for Network Pruning
Filter Sketch for Network Pruning
Mingbao Lin
Liujuan Cao
Shaojie Li
QiXiang Ye
Yonghong Tian
Jianzhuang Liu
Q. Tian
Rongrong Ji
CLIP
3DPC
23
82
0
23 Jan 2020
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
90
515
0
09 Apr 2018
1