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Progressive Gradient Pruning for Classification, Detection and
  DomainAdaptation

Progressive Gradient Pruning for Classification, Detection and DomainAdaptation

20 June 2019
Le Thanh Nguyen-Meidine
Eric Granger
M. Kiran
Louis-Antoine Blais-Morin
M. Pedersoli
    VLM
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Papers citing "Progressive Gradient Pruning for Classification, Detection and DomainAdaptation"

20 / 20 papers shown
Title
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
Hanrui Wang
Zi-Chen Li
Jiaqi Gu
Yongshan Ding
David Z. Pan
Song Han
77
53
0
26 Feb 2022
Importance Estimation for Neural Network Pruning
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
78
881
0
25 Jun 2019
A Comparison of CNN-based Face and Head Detectors for Real-Time Video
  Surveillance Applications
A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications
Le Thanh Nguyen-Meidine
Eric Granger
M. Kiran
Louis-Antoine Blais-Morin
CVBM
29
47
0
10 Sep 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction
  Method of Multipliers
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
Tianyun Zhang
Shaokai Ye
Kaiqi Zhang
Jian Tang
Wujie Wen
M. Fardad
Yanzhi Wang
57
438
0
10 Apr 2018
Learning Efficient Convolutional Networks through Network Slimming
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
122
2,420
0
22 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
55
1,760
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
199
2,524
0
19 Jul 2017
Coordinating Filters for Faster Deep Neural Networks
Coordinating Filters for Faster Deep Neural Networks
W. Wen
Cong Xu
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
41
138
0
28 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
259
4,659
0
17 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
390
1,051
0
10 Feb 2017
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
193
3,696
0
31 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
176
2,337
0
12 Aug 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
171
5,640
0
20 May 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
164
4,356
0
16 Mar 2016
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
255
8,833
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
310
6,672
0
08 Jun 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
220
5,196
0
10 Feb 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned
  CP-Decomposition
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
V. Lebedev
Yaroslav Ganin
M. Rakhuba
Ivan Oseledets
Victor Lempitsky
63
884
0
19 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,022
0
26 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
128
1,463
0
15 May 2014
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