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. 1810.11809
  4. Cited By
Discrimination-aware Channel Pruning for Deep Neural Networks

Discrimination-aware Channel Pruning for Deep Neural Networks

28 October 2018
Zhuangwei Zhuang
Mingkui Tan
Bohan Zhuang
Jing Liu
Yong Guo
Qingyao Wu
Junzhou Huang
Jin-Hui Zhu
ArXivPDFHTML

Papers citing "Discrimination-aware Channel Pruning for Deep Neural Networks"

50 / 94 papers shown
Title
Differentiable Channel Selection in Self-Attention For Person Re-Identification
Differentiable Channel Selection in Self-Attention For Person Re-Identification
Yancheng Wang
Nebojsa Jojic
Yingzhen Yang
29
0
0
13 May 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Giulia Fracastoro
Sophie M. Fosson
Andrea Migliorati
G. Calafiore
40
1
0
19 Jan 2025
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Ashish Kumar
Daneul Kim
Jaesik Park
Laxmidhar Behera
44
1
0
16 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
Training Acceleration of Low-Rank Decomposed Networks using Sequential
  Freezing and Rank Quantization
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization
Habib Hajimolahoseini
Walid Ahmed
Yang Liu
OffRL
MQ
19
6
0
07 Sep 2023
Resource Constrained Model Compression via Minimax Optimization for
  Spiking Neural Networks
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
25
3
0
09 Aug 2023
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Lin Liu
Mingming Zhao
Shanxin Yuan
Wenlong Lyu
Wen-gang Zhou
Houqiang Li
Yanfeng Wang
Qi Tian
16
3
0
09 Jun 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped
  Convolution
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution
Z. Su
Jiehua Zhang
Tianpeng Liu
Zhen Liu
Shuanghui Zhang
M. Pietikäinen
Li Liu
27
2
0
13 Apr 2023
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
Automatic Attention Pruning: Improving and Automating Model Pruning
  using Attentions
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Kaiqi Zhao
Animesh Jain
Ming Zhao
26
10
0
14 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
17
1
0
26 Jan 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural
  Networks
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Jinqi Xiao
Chengming Zhang
Yu Gong
Miao Yin
Yang Sui
Lizhi Xiang
Dingwen Tao
Bo Yuan
29
19
0
20 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 Transformer
Miao Yin
Burak Uzkent
Yilin Shen
Hongxia Jin
Bo Yuan
ViT
32
13
0
13 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang
Can Qin
Yue Bai
Yun Fu
37
20
0
12 Jan 2023
Boosting Semi-Supervised Learning with Contrastive Complementary
  Labeling
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Qinyi Deng
Yong Guo
Zhibang Yang
Haolin Pan
Jian Chen
35
10
0
13 Dec 2022
Efficient Stein Variational Inference for Reliable Distribution-lossless
  Network Pruning
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Yingchun Wang
Song Guo
Jingcai Guo
Weizhan Zhang
Yi Tian Xu
Jiewei Zhang
Yi Liu
21
17
0
07 Dec 2022
Pruning by Active Attention Manipulation
Pruning by Active Attention Manipulation
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
22
0
0
20 Oct 2022
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Jou-An Chen
Wei Niu
Bin Ren
Yanzhi Wang
Xipeng Shen
23
24
0
29 Aug 2022
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Muhammad Zawish
Steven Davy
L. Abraham
41
16
0
26 Aug 2022
Network Pruning via Feature Shift Minimization
Network Pruning via Feature Shift Minimization
Y. Duan
Yue Zhou
Peng He
Qiang Liu
Shukai Duan
Xiaofang Hu
21
4
0
06 Jul 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating
Gator: Customizable Channel Pruning of Neural Networks with Gating
E. Passov
E. David
N. Netanyahu
AAML
42
0
0
30 May 2022
Revisiting Random Channel Pruning for Neural Network Compression
Revisiting Random Channel Pruning for Neural Network Compression
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
26
81
0
11 May 2022
Attention Mechanism with Energy-Friendly Operations
Attention Mechanism with Energy-Friendly Operations
Boyi Deng
Baosong Yang
Dayiheng Liu
Rong Xiao
Derek F. Wong
Haibo Zhang
Boxing Chen
Lidia S. Chao
MU
143
1
0
28 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and
  Structured Sparsification
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
36
11
0
06 Apr 2022
Data-Efficient Structured Pruning via Submodular Optimization
Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi
Suraj Srinivas
Simon Lacoste-Julien
20
18
0
09 Mar 2022
Update Compression for Deep Neural Networks on the Edge
Update Compression for Deep Neural Networks on the Edge
Bo Chen
A. Bakhshi
Gustavo E. A. P. A. Batista
Brian Ng
Tat-Jun Chin
26
17
0
09 Mar 2022
Accelerating DNN Training with Structured Data Gradient Pruning
Accelerating DNN Training with Structured Data Gradient Pruning
Bradley McDanel
Helia Dinh
J. Magallanes
17
7
0
01 Feb 2022
Pruning-aware Sparse Regularization for Network Pruning
Pruning-aware Sparse Regularization for Network Pruning
Nanfei Jiang
Xu Zhao
Chaoyang Zhao
Yongqi An
Ming Tang
Jinqiao Wang
3DPC
24
12
0
18 Jan 2022
Speedup deep learning models on GPU by taking advantage of efficient
  unstructured pruning and bit-width reduction
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction
Marcin Pietroñ
Dominik Zurek
30
13
0
28 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural
  Networks Using Funnel Regularization
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization
Bo-Shiuan Chu
Che-Rung Lee
26
11
0
07 Dec 2021
Batch Normalization Tells You Which Filter is Important
Batch Normalization Tells You Which Filter is Important
Junghun Oh
Heewon Kim
Sungyong Baik
Chee Hong
Kyoung Mu Lee
CVBM
39
8
0
02 Dec 2021
Information Theoretic Representation Distillation
Information Theoretic Representation Distillation
Roy Miles
Adrian Lopez-Rodriguez
K. Mikolajczyk
MQ
13
21
0
01 Dec 2021
Improved Knowledge Distillation via Adversarial Collaboration
Improved Knowledge Distillation via Adversarial Collaboration
Zhiqiang Liu
Chengkai Huang
Yanxia Liu
29
2
0
29 Nov 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time
  Mobile Acceleration
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
Yifan Gong
Geng Yuan
Zheng Zhan
Wei Niu
Zhengang Li
...
Sijia Liu
Bin Ren
Xue Lin
Xulong Tang
Yanzhi Wang
28
10
0
22 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
33
129
0
26 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations
Reconstructing Pruned Filters using Cheap Spatial Transformations
Roy Miles
K. Mikolajczyk
26
0
0
25 Oct 2021
Class-Discriminative CNN Compression
Class-Discriminative CNN Compression
Yuchen Liu
D. Wentzlaff
S. Kung
26
1
0
21 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
56
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
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
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture
  and Pruning Search
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search
Zheng Zhan
Yifan Gong
Pu Zhao
Geng Yuan
Wei Niu
...
Malith Jayaweera
David Kaeli
Bin Ren
Xue Lin
Yanzhi Wang
SupR
35
41
0
18 Aug 2021
Group Fisher Pruning for Practical Network Compression
Group Fisher Pruning for Practical Network Compression
Liyang Liu
Shilong Zhang
Zhanghui Kuang
Aojun Zhou
Jingliang Xue
Xinjiang Wang
Yimin Chen
Wenming Yang
Q. Liao
Wayne Zhang
25
146
0
02 Aug 2021
Content-Aware Convolutional Neural Networks
Content-Aware Convolutional Neural Networks
Yong Guo
Yaofo Chen
Mingkui Tan
Kui Jia
Jian Chen
Jingdong Wang
36
8
0
30 Jun 2021
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for
  Mixed-signal DNN Accelerator
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator
Geng Yuan
Payman Behnam
Zhengang Li
Ali Shafiee
Sheng Lin
...
Hang Liu
Xuehai Qian
M. N. Bojnordi
Yanzhi Wang
Caiwen Ding
24
68
0
16 Jun 2021
Carrying out CNN Channel Pruning in a White Box
Carrying out CNN Channel Pruning in a White Box
Yuxin Zhang
Mingbao Lin
Chia-Wen Lin
Jie Chen
Feiyue Huang
Yongjian Wu
Yonghong Tian
Rongrong Ji
VLM
39
58
0
24 Apr 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim
Andreas Biri
Zhongnan Qu
Lothar Thiele
49
30
0
21 Apr 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Seul-Ki Yeom
Kyung-Hwan Shim
Jee-Hyun Hwang
CVBM
28
12
0
19 Mar 2021
Towards Accurate and Compact Architectures via Neural Architecture
  Transformer
Towards Accurate and Compact Architectures via Neural Architecture Transformer
Yong Guo
Yin Zheng
Mingkui Tan
Qi Chen
Zhipeng Li
Jian Chen
P. Zhao
Junzhou Huang
ViT
MQ
16
38
0
20 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
FcaNet: Frequency Channel Attention Networks
FcaNet: Frequency Channel Attention Networks
Zequn Qin
Pengyi Zhang
Fei Wu
Xi Li
31
678
0
22 Dec 2020
12
Next