HIGHLIGHTS
- who: Tingting Wu and collaborators from the State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China University of Chinese Academy of Sciences, Beijing, China have published the Article: Cluster-Based Structural Redundancy Identification for Neural Network Compression, in the Journal: Entropy 2023, 9 of /2023/
- what: The authors propose a pruning scheme that automatically determines the pruning rate of each layer. The authors propose a clustering-based dynamic pruning method considering the similarity between filters. The authors demonstrate a layer, pruning by filters 1 u00d7K u00d7K uf057 u2208 R . . .
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