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. 2006.11967
  4. Cited By
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization

Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization

22 June 2020
Yuan Wen
David Gregg
    MQ
ArXivPDFHTML

Papers citing "Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization"

15 / 15 papers shown
Title
CirCNN: Accelerating and Compressing Deep Neural Networks Using
  Block-CirculantWeight Matrices
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
Caiwen Ding
Siyu Liao
Yanzhi Wang
Zhe Li
Ning Liu
...
Yipeng Zhang
Jian Tang
Qinru Qiu
Xinyu Lin
Bo Yuan
GNN
43
260
0
29 Aug 2017
Enabling Massive Deep Neural Networks with the GraphBLAS
Enabling Massive Deep Neural Networks with the GraphBLAS
J. Kepner
Manoj Kumar
José Moreira
P. Pattnaik
M. Serrano
H. Tufo
GNN
86
33
0
09 Aug 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
30
1,751
0
20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
186
2,513
0
19 Jul 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML
3DV
86
3,002
0
27 Mar 2017
Designing Energy-Efficient Convolutional Neural Networks using
  Energy-Aware Pruning
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
Tien-Ju Yang
Yu-hsin Chen
Vivienne Sze
3DV
61
737
0
16 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
151
3,676
0
31 Aug 2016
Dynamic Network Surgery for Efficient DNNs
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo
Anbang Yao
Yurong Chen
50
1,054
0
16 Aug 2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards
  Efficient Deep Architectures
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu
Rui Peng
Yu-Wing Tai
Chi-Keung Tang
41
885
0
12 Jul 2016
Hardware-oriented Approximation of Convolutional Neural Networks
Hardware-oriented Approximation of Convolutional Neural Networks
Philipp Gysel
Mohammad Motamedi
S. Ghiasi
52
310
0
11 Apr 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
102
7,448
0
24 Feb 2016
Structured Pruning of Deep Convolutional Neural Networks
Structured Pruning of Deep Convolutional Neural Networks
S. Anwar
Kyuyeon Hwang
Wonyong Sung
50
745
0
29 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
170
8,793
0
01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
173
6,628
0
08 Jun 2015
Predicting Parameters in Deep Learning
Predicting Parameters in Deep Learning
Misha Denil
B. Shakibi
Laurent Dinh
MarcÁurelio Ranzato
Nando de Freitas
OOD
110
1,314
0
03 Jun 2013
1