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Class-dependent Compression of Deep Neural Networks

Class-dependent Compression of Deep Neural Networks

23 September 2019
R. Entezari
O. Saukh
ArXivPDFHTML

Papers citing "Class-dependent Compression of Deep Neural Networks"

11 / 11 papers shown
Title
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang
Haris Šikić
Lothar Thiele
O. Saukh
79
1
0
17 Feb 2025
Circulant Binary Convolutional Networks: Enhancing the Performance of
  1-bit DCNNs with Circulant Back Propagation
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
Chunlei Liu
Wenrui Ding
Xin Xia
Baochang Zhang
Jiaxin Gu
Jianzhuang Liu
Rongrong Ji
David Doermann
MQ
55
75
0
24 Oct 2019
Discovering Neural Wirings
Discovering Neural Wirings
Mitchell Wortsman
Ali Farhadi
Mohammad Rastegari
AI4CE
85
121
0
03 Jun 2019
ESPNetv2: A Light-weight, Power Efficient, and General Purpose
  Convolutional Neural Network
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
VLM
48
395
0
28 Nov 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
209
1,190
0
04 Oct 2018
MBA: Mini-Batch AUC Optimization
MBA: Mini-Batch AUC Optimization
San Gultekin
A. Saha
A. Ratnaparkhi
John Paisley
58
22
0
29 May 2018
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
160
3,676
0
31 Aug 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
131
4,342
0
16 Mar 2016
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
226
6,628
0
08 Jun 2015
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
123
1,458
0
15 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
125
1,682
0
02 Apr 2014
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