Causal Unstructured Pruning in Linear Networks Using Effective Information-Reference-Cited by-同舟云学术

Causal Unstructured Pruning in Linear Networks Using Effective Information

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)
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Author:

Zeng Changyu¹,Liu Li²,Zhao Haocheng¹,Zhang Yu²,Wang Wei³,Cai Ning²,Yue Yutao¹

Affiliation:

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

2. Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China

3. Xi’an Jiaotong-Liverpool University,Department of Computing, School of Advanced Technology,Suzhou,China

Publisher

IEEE

Link

Reference42 articles.

2. Movement pruning: Adaptive sparsity by fine-tuning;sanh;Advances in neural information processing systems,2020

4. Opening the black box of deep neural networks via information;shwartz-ziv,2017

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3. PLSR: Unstructured Pruning with Layer-Wise Sparsity Ratio;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15