A Neural Network Pruning Method by the Sum of Matrix Similarity Measures-Reference-Cited by-同舟云学术

A Neural Network Pruning Method by the Sum of Matrix Similarity Measures

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST)
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Author:

Dong Xiaoyu¹,Song Mengshu²,Li Binqi³,Song Yuantao⁴

Affiliation:

1. University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China

2. Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China

3. University of Washington,School of Public Health,Seattle,WA,USA

4. University of Chinese Academy of Sciences,School of Emergency Management Science and Engineering,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10061847/10061862/10062205.pdf?arnumber=10062205

Reference32 articles.

1. Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis

2. Building efficient convnets using redundant feature pruning;ayinde,2018

3. HRank: Filter Pruning Using High-Rank Feature Map

4. Gate decorator: Global filter pruning method for accelerating deep convolutional neural networks;you;Advances in neural information processing systems,2019

5. Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

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