PLSR: Unstructured Pruning with Layer-Wise Sparsity Ratio-Reference-Cited by-同舟云学术

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PLSR: Unstructured Pruning with Layer-Wise Sparsity Ratio

Published:2023-12-15 Issue: Volume:2 Page:1-8
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
language:
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Author:

Zhao Haocheng¹,Yu Limin²,Guan Runwei¹,Jia Liye¹,Zhang Junqing³,Yue Yutao¹

Affiliation:

1. Institute of Deep Perception Technology, JITRI,Wuxi,China

2. Xi'an Jiaotong-Liverpool University,Department of School of Advanced Technology,Suzhou,China

3. University of Liverpool,Department of Electrical Engineering and Electronics,Liverpool,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459856.pdf?arnumber=10459856

Reference29 articles.

1. What is the state of neural network pruning?;Blalock

2. A comprehensive survey on model compression and acceleration

3. Compressing neural networks using the variational information bottleneck;Dai

4. 2009 IEEE Conference on Computer Vision and Pattern Recognition

5. Pruning deep neural networks from a sparsity perspective;Diao

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