A lightweight deep neural network model and its applications based on channel pruning and group vector quantization

Author:

Huang Mingzhong,Liu Yan,Zhao LijieORCID,Wang Guogang

Funder

National Key R &D Program of China

Innovative Talents of Higher Education in liaoning province

2021 Basic Scientific Research Projects of Higher Education

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference29 articles.

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3. Denil M, Shakibi B, Dinh L, Ranzato M, De Freitas N (2013) Predicting parameters in deep learning. In: Advances in neural information processing systems, vol 26

4. Li Z, Wallace E, Shen S, Lin K, Keutzer K, Klein D, Gonzalez J (2020) Train big, then compress: rethinking model size for efficient training and inference of transformers. In: International conference on machine learning. PMLR, pp 5958–5968

5. Deng L, Li G, Han S, Shi L, Xie Y (2020) Model compression and hardware acceleration for neural networks: a comprehensive survey. Proc. IEEE 108(4):485–532

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