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Deep Model Compression based on the Training History

Deep Model Compression based on the Training History

30 January 2021
S. H. Shabbeer Basha
M. Farazuddin
Viswanath Pulabaigari
S. Dubey
Snehasis Mukherjee
    VLM
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Papers citing "Deep Model Compression based on the Training History"

7 / 7 papers shown
Title
Sauron U-Net: Simple automated redundancy elimination in medical image
  segmentation via filter pruning
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
23
5
0
27 Sep 2022
Target Aware Network Architecture Search and Compression for Efficient
  Knowledge Transfer
Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer
S. H. Shabbeer Basha
Debapriya Tula
Sravan Kumar Vinakota
S. Dubey
24
2
0
12 May 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and
  Class Labels
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
C. Sarvani
Mrinmoy Ghorai
S. Dubey
S. H. Shabbeer Basha
VLM
32
37
0
22 Feb 2022
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
124
671
0
24 Jan 2021
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
123
1
0
19 Mar 2020
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
193
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
165
666
0
07 Jun 2018
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