ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.03354
  4. Cited By
DMCP: Differentiable Markov Channel Pruning for Neural Networks
v1v2 (latest)

DMCP: Differentiable Markov Channel Pruning for Neural Networks

7 May 2020
Shaopeng Guo
Yujie Wang
Quanquan Li
Junjie Yan
ArXiv (abs)PDFHTMLGithub (120★)

Papers citing "DMCP: Differentiable Markov Channel Pruning for Neural Networks"

50 / 71 papers shown
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse AdapterComputer Vision and Pattern Recognition (CVPR), 2025
Zhengyi Zhong
Weidong Bao
Ji Wang
Shuai Zhang
Jingxuan Zhou
Lingjuan Lyu
Wei Yang Bryan Lim
FedMLMU
489
13
0
28 Feb 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency
Advancing Weight and Channel Sparsification with Enhanced SaliencyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Xinglong Sun
Maying Shen
Hongxu Yin
Lei Mao
Pavlo Molchanov
Jose M. Alvarez
218
1
0
05 Feb 2025
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning
Qingsong Lv
Jiasheng Sun
Sheng Zhou
Wei Wei
Liangcheng Li
Yun Gao
Sun Qiao
Jie Song
Jiajun Bu
AAML
252
2
0
19 Nov 2024
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in
  Pruning
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in PruningNeural Information Processing Systems (NeurIPS), 2024
Weihao Lin
Shengji Tang
Chong Yu
Peng Ye
Tao Chen
160
0
0
09 Oct 2024
Green Federated Learning: A new era of Green Aware AI
Green Federated Learning: A new era of Green Aware AIACM Computing Surveys (ACM CSUR), 2024
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Francesco Piccialli
AI4CE
468
38
0
19 Sep 2024
PSE-Net: Channel Pruning for Convolutional Neural Networks with
  Parallel-subnets Estimator
PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets EstimatorNeural Networks (NN), 2024
Shiguang Wang
Tao Xie
Haijun Liu
Xingcheng Zhang
Jian Cheng
245
4
0
29 Aug 2024
Update Selective Parameters: Federated Machine Unlearning Based on Model
  Explanation
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation
Heng Xu
Tianqing Zhu
Lefeng Zhang
Wanlei Zhou
Philip S. Yu
FedMLMU
214
14
0
18 Jun 2024
Towards Efficient Target-Level Machine Unlearning Based on Essential
  Graph
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph
Heng Xu
Tianqing Zhu
Lefeng Zhang
Wanlei Zhou
Wei Zhao
MU
226
2
0
16 Jun 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
203
0
0
29 Mar 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network PruningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Xiang Meng
Wenyu Chen
Riade Benbaki
Rahul Mazumder
160
9
0
11 Mar 2024
$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections
VkD:V_kD:Vk​D: Improving Knowledge Distillation using Orthogonal ProjectionsComputer Vision and Pattern Recognition (CVPR), 2024
Roy Miles
Ismail Elezi
Jiankang Deng
336
24
0
10 Mar 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
272
2
0
27 Feb 2024
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading
  Acceleration
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading AccelerationNeural Information Processing Systems (NeurIPS), 2023
Jingyang Xiang
Siqi Li
Jun Chen
Shipeng Bai
Yukai Ma
Guang Dai
Yong-Jin Liu
238
1
0
10 Oct 2023
A Differentiable Framework for End-to-End Learning of Hybrid Structured
  Compression
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression
Moonjung Eo
Suhyun Kang
Wonjong Rhee
241
2
0
21 Sep 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
281
16
0
17 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
191
4
0
01 Jul 2023
Machine Unlearning: A Survey
Machine Unlearning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Heng Xu
Tianqing Zhu
Lefeng Zhang
Wanlei Zhou
Philip S. Yu
MU
269
42
0
06 Jun 2023
DiffRate : Differentiable Compression Rate for Efficient Vision
  Transformers
DiffRate : Differentiable Compression Rate for Efficient Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2023
Mengzhao Chen
Wenqi Shao
Peng Xu
Mingbao Lin
Kaipeng Zhang
Jiayi Ji
Rongrong Ji
Yu Qiao
Ping Luo
ViT
221
75
0
29 May 2023
PDP: Parameter-free Differentiable Pruning is All You Need
PDP: Parameter-free Differentiable Pruning is All You NeedNeural Information Processing Systems (NeurIPS), 2023
Minsik Cho
Saurabh N. Adya
Devang Naik
VLM
250
15
0
18 May 2023
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy
  Correction-Based Distillation for Gap Optimizing
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap OptimizingPattern Recognition (Pattern Recogn.), 2023
Songling Zhu
Ronghua Shang
Bo Yuan
Weitong Zhang
Yangyang Li
Licheng Jiao
147
11
0
09 May 2023
Designing Deep Networks for Scene Recognition
Designing Deep Networks for Scene Recognition
Zhinan Qiao
Xiaohui Yuan
119
1
0
13 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
369
273
0
01 Mar 2023
All-in-One: A Highly Representative DNN Pruning Framework for Edge
  Devices with Dynamic Power Management
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management
Yifan Gong
Zheng Zhan
Pu Zhao
Yushu Wu
Chaoan Wu
Caiwen Ding
Weiwen Jiang
Minghai Qin
Yanzhi Wang
158
9
0
09 Dec 2022
CWP: Instance complexity weighted channel-wise soft masks for network
  pruning
CWP: Instance complexity weighted channel-wise soft masks for network pruning
Jiapeng Wang
Ming Ma
Zhenhua Yu
240
0
0
08 Sep 2022
Compiler-Aware Neural Architecture Search for On-Mobile Real-time
  Super-Resolution
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-ResolutionEuropean Conference on Computer Vision (ECCV), 2022
Yushu Wu
Yifan Gong
Pu Zhao
Yanyu Li
Zheng Zhan
Wei Niu
Hao Tang
Minghai Qin
Bin Ren
Yanzhi Wang
SupRMQ
205
34
0
25 Jul 2022
Trainability Preserving Neural Pruning
Trainability Preserving Neural PruningInternational Conference on Learning Representations (ICLR), 2022
Huan Wang
Yun Fu
AAML
235
25
0
25 Jul 2022
Attentive Fine-Grained Structured Sparsity for Image Restoration
Attentive Fine-Grained Structured Sparsity for Image RestorationComputer Vision and Pattern Recognition (CVPR), 2022
Junghun Oh
Heewon Kim
Seungjun Nah
Chee Hong
Jonghyun Choi
Kyoung Mu Lee
213
24
0
26 Apr 2022
Structured Pruning Learns Compact and Accurate Models
Structured Pruning Learns Compact and Accurate ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Mengzhou Xia
Zexuan Zhong
Danqi Chen
VLM
386
214
0
01 Apr 2022
CHEX: CHannel EXploration for CNN Model Compression
CHEX: CHannel EXploration for CNN Model CompressionComputer Vision and Pattern Recognition (CVPR), 2022
Zejiang Hou
Minghai Qin
Fei Sun
Xiaolong Ma
Kun Yuan
Yi Xu
Yen-kuang Chen
Rong Jin
Yuan Xie
S. Kung
194
87
0
29 Mar 2022
Searching for Network Width with Bilaterally Coupled Network
Searching for Network Width with Bilaterally Coupled NetworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xiu Su
Shan You
Jiyang Xie
Fei Wang
Chao Qian
Changshui Zhang
Chang Xu
194
11
0
25 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 LabelsNeural Networks (NN), 2021
C. Sarvani
Mrinmoy Ghorai
S. Dubey
S. H. Shabbeer Basha
VLM
312
46
0
22 Feb 2022
Compressing Models with Few Samples: Mimicking then Replacing
Compressing Models with Few Samples: Mimicking then ReplacingComputer Vision and Pattern Recognition (CVPR), 2022
Huanyu Wang
Junjie Liu
Xin Ma
Yang Yong
Z. Chai
Jianxin Wu
VLMOffRL
147
15
0
07 Jan 2022
One to Transfer All: A Universal Transfer Framework for Vision
  Foundation Model with Few Data
One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data
Yujie Wang
Junqin Huang
Mengya Gao
Yichao Wu
Zhen-fei Yin
Ding Liang
Junjie Yan
174
0
0
24 Nov 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui
Miao Yin
Yi Xie
Huy Phan
S. Zonouz
Bo Yuan
VLM
263
166
0
26 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations
Reconstructing Pruned Filters using Cheap Spatial Transformations
Roy Miles
K. Mikolajczyk
305
0
0
25 Oct 2021
Class-Discriminative CNN Compression
Class-Discriminative CNN CompressionInternational Conference on Pattern Recognition (ICPR), 2021
Yuchen Liu
D. Wentzlaff
S. Kung
138
1
0
21 Oct 2021
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN PruningCAAI International Conference on Artificial Intelligence (CAAI-ICAI), 2021
Yanli Liu
Bochen Guan
Qinwen Xu
Weiyi Li
Shuxue Quan
163
2
0
21 Oct 2021
SOSP: Efficiently Capturing Global Correlations by Second-Order
  Structured Pruning
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
Manuel Nonnenmacher
Thomas Pfeil
Ingo Steinwart
David Reeb
181
43
0
19 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
229
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 ValuesACM Multimedia (ACM MM), 2021
Zhenquan Lin
K. Guo
Xiaofen Xing
Xiangmin Xu
ODL
154
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 SearchIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2021
Jiaqi Li
Haoran Li
Yaran Chen
Zixiang Ding
Nannan Li
Mingjun Ma
Zicheng Duan
Dong Zhao
196
9
0
08 Oct 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
126
2
0
12 Sep 2021
GDP: Stabilized Neural Network Pruning via Gates with Differentiable
  Polarization
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
Yi Guo
Huan Yuan
Jianchao Tan
Zinan Lin
Sen Yang
Ji Liu
302
51
0
06 Sep 2021
Architecture Aware Latency Constrained Sparse Neural Networks
Architecture Aware Latency Constrained Sparse Neural Networks
Tianli Zhao
Qinghao Hu
Xiangyu He
Weixiang Xu
Jiaxing Wang
Cong Leng
Jian Cheng
169
0
0
01 Sep 2021
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for
  Convolutional Neural Networks
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks
Jingfei Chang
Yang Lu
Ping Xue
Yiqun Xu
Zhen Wei
113
0
0
31 Aug 2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
Boyu Chen
Peixia Li
Baopu Li
Chuming Li
Mengwei He
Chen Lin
Ming Sun
Junjie Yan
Wanli Ouyang
ViT
223
37
0
07 Aug 2021
Rapid Elastic Architecture Search under Specialized Classes and Resource
  Constraints
Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints
Jing Liu
Bohan Zhuang
Zhuliang Yu
Xu Liu
Dinh Q. Phung
Yuanqing Li
Jianfei Cai
187
0
0
03 Aug 2021
Heterogeneous Federated Learning using Dynamic Model Pruning and
  Adaptive Gradient
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive GradientIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021
Sixing Yu
P. Nguyen
Ali Anwar
Ali Jannesari
166
13
0
13 Jun 2021
1xN Pattern for Pruning Convolutional Neural Networks
1xN Pattern for Pruning Convolutional Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mingbao Lin
Yu-xin Zhang
Yuchao Li
Bohong Chen
Jiayi Ji
Mengdi Wang
Shen Li
Yonghong Tian
Rongrong Ji
3DPC
273
50
0
31 May 2021
BCNet: Searching for Network Width with Bilaterally Coupled Network
BCNet: Searching for Network Width with Bilaterally Coupled NetworkComputer Vision and Pattern Recognition (CVPR), 2021
Xiu Su
Shan You
Haiwei Yang
Chao Qian
Changshui Zhang
Chang Xu
232
40
0
21 May 2021
12
Next
Page 1 of 2