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. 1811.00250
  4. Cited By
Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

1 November 2018
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
    AAML
    3DPC
ArXivPDFHTML

Papers citing "Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration"

50 / 110 papers shown
Title
Optimizing for In-memory Deep Learning with Emerging Memory Technology
Optimizing for In-memory Deep Learning with Emerging Memory Technology
Zhehui Wang
Tao Luo
Rick Siow Mong Goh
Wei Zhang
Weng-Fai Wong
13
1
0
01 Dec 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning
Mengnan Shi
Chang-rui Liu
Jianbin Jiao
QiXiang Ye
21
1
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
20
10
0
22 Nov 2021
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
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for
  Zero-Shot Network Quantization
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Yunshan Zhong
Mingbao Lin
Gongrui Nan
Jianzhuang Liu
Baochang Zhang
Yonghong Tian
Rongrong Ji
MQ
43
71
0
17 Nov 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the
  Edge
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan
Xiaolong Ma
Wei Niu
Zhengang Li
Zhenglun Kong
...
Minghai Qin
Bin Ren
Yanzhi Wang
Sijia Liu
Xue Lin
15
89
0
26 Oct 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
25
128
0
26 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
When to Prune? A Policy towards Early Structural Pruning
When to Prune? A Policy towards Early Structural Pruning
Maying Shen
Pavlo Molchanov
Hongxu Yin
J. Álvarez
VLM
20
52
0
22 Oct 2021
Class-Discriminative CNN Compression
Class-Discriminative CNN Compression
Yuchen Liu
D. Wentzlaff
S. Kung
26
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 Pruning
Yanli Liu
Bochen Guan
Qinwen Xu
Weiyi Li
Shuxue Quan
25
2
0
21 Oct 2021
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based
  Networks
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks
Shiyu Liu
Chong Min John Tan
Mehul Motani
CLL
23
4
0
17 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
45
2
0
15 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
19
2
0
12 Sep 2021
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
Bo-wen Li
Xinyang Jiang
Donglin Bai
Yuge Zhang
Ningxin Zheng
Xuanyi Dong
Lu Liu
Yuqing Yang
Dongsheng Li
14
10
0
30 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
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
PQK: Model Compression via Pruning, Quantization, and Knowledge
  Distillation
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation
Jang-Hyun Kim
Simyung Chang
Nojun Kwak
22
44
0
25 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
19
68
0
16 Jun 2021
Troubleshooting Blind Image Quality Models in the Wild
Troubleshooting Blind Image Quality Models in the Wild
Zhihua Wang
Haotao Wang
Tianlong Chen
Zhangyang Wang
Kede Ma
15
19
0
14 May 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
32
27
0
24 Apr 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
Lottery Jackpots Exist in Pre-trained Models
Lottery Jackpots Exist in Pre-trained Models
Yu-xin Zhang
Mingbao Lin
Yan Wang
Fei Chao
Rongrong Ji
30
15
0
18 Apr 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang
Haojun Jiang
Ruojin Cai
Yulin Wang
Shiji Song
Gao Huang
Qi Tian
DD
23
64
0
09 Apr 2021
Content-Aware GAN Compression
Content-Aware GAN Compression
Yuchen Liu
Zhixin Shu
Yijun Li
Zhe-nan Lin
Federico Perazzi
S. Kung
GAN
35
58
0
06 Apr 2021
Distilling a Powerful Student Model via Online Knowledge Distillation
Distilling a Powerful Student Model via Online Knowledge Distillation
Shaojie Li
Mingbao Lin
Yan Wang
Yongjian Wu
Yonghong Tian
Ling Shao
Rongrong Ji
FedML
25
46
0
26 Mar 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
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
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
130
673
0
24 Jan 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
Juhyoung Lee
Sangyeob Kim
Sangjin Kim
Wooyoung Jo
H. Yoo
OffRL
21
9
0
24 Jan 2021
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization
  Framework
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Runbin Shi
Hayden Kwok-Hay So
Xuehai Qian
Yanzhi Wang
Xue Lin
MQ
18
82
0
08 Dec 2020
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural
  Networks
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks
Pengtao Xu
Jian Cao
Fanhua Shang
Wenyu Sun
Pu Li
3DPC
12
24
0
29 Nov 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification
  and Similarity Discovery
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
19
111
0
29 Nov 2020
Dirichlet Pruning for Neural Network Compression
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski
Mijung Park
27
3
0
10 Nov 2020
SCOP: Scientific Control for Reliable Neural Network Pruning
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
50
166
0
21 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Po-Hsiang Yu
Sih-Sian Wu
Jan P. Klopp
Liang-Gee Chen
Shao-Yi Chien
MQ
17
14
0
05 Oct 2020
PP-OCR: A Practical Ultra Lightweight OCR System
PP-OCR: A Practical Ultra Lightweight OCR System
Yuning Du
Chenxia Li
Ruoyu Guo
Xiaoting Yin
Weiwei Liu
...
Yifan Bai
Zilin Yu
Yehua Yang
Qingqing Dang
Hongya Wang
27
177
0
21 Sep 2020
Conditional Automated Channel Pruning for Deep Neural Networks
Conditional Automated Channel Pruning for Deep Neural Networks
Yixin Liu
Yong Guo
Zichang Liu
Hao Liu
Jingjie Zhang
Zejun Chen
Jing Liu
Jian Chen
11
16
0
21 Sep 2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics
Guan Li
Junpeng Wang
Han-Wei Shen
Kaixin Chen
Guihua Shan
Zhonghua Lu
AAML
18
47
0
08 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network)
  Compression
Transform Quantization for CNN (Convolutional Neural Network) Compression
Sean I. Young
Wang Zhe
David S. Taubman
B. Girod
MQ
29
69
0
02 Sep 2020
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Z. Su
Linpu Fang
Wenxiong Kang
D. Hu
M. Pietikäinen
Li Liu
13
44
0
08 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks
Operation-Aware Soft Channel Pruning using Differentiable Masks
Minsoo Kang
Bohyung Han
AAML
31
138
0
08 Jul 2020
A Framework for Neural Network Pruning Using Gibbs Distributions
A Framework for Neural Network Pruning Using Gibbs Distributions
Alex Labach
S. Valaee
9
5
0
08 Jun 2020
Feature Statistics Guided Efficient Filter Pruning
Feature Statistics Guided Efficient Filter Pruning
Hang Li
Chen-li Ma
W. Xu
Xue Liu
18
34
0
21 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update
Joint Multi-Dimension Pruning via Numerical Gradient Update
Zechun Liu
X. Zhang
Zhiqiang Shen
Zhe Li
Yichen Wei
Kwang-Ting Cheng
Jian Sun
44
18
0
18 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge
  Applications: A Survey
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
3DPC
MedIm
22
52
0
08 May 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for
  Network Compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
Yawei Li
Shuhang Gu
Christoph Mayer
Luc Van Gool
Radu Timofte
131
189
0
19 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network
  Acceleration
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
Jun Shi
Jianfeng Xu
K. Tasaka
Zhibo Chen
4
25
0
12 Mar 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
Previous
123
Next