Training Compact DNNs with ℓ1/2 Regularization
Pattern Recognition(2023)
摘要
•We propose a network compression model based on ℓ1/2 regularization. To the best of our knowledge, it is the first work utilizing non-Lipschitz continuous regularization to compress DNNs.•We strictly prove the correspondence between ℓp(0
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关键词
Deep neural networks,Model compression,ℓ1/2 Quasi-norm,Non-Lipschitz regularization,Sparse optimization
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