Learning Bilateral Clipping Parametric Activation for Low-Bit Neural Networks

Among various network compression methods, network quantization has developed rapidly due to its superior compression performance. However, trivial activation quantization schemes limit the compression performance of network quantization. Most conventional activation quantization methods directly ut...

詳細記述

書誌詳細

出版年:	Mathematics
主要な著者:	Yunlong Ding, Di-Rong Chen
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-04-01
主題:	quantization neural network activation function full-precision model
オンライン･アクセス:	https://www.mdpi.com/2227-7390/11/9/2001