Convolutional neural networks with dynamic regularization

Regularization is commonly used for alleviating overfitting in machine learning. For convolutional neural networks (CNNs), regularization methods, such as DropBlock and Shake-Shake, have illustrated the improvement in the generalization performance. However, these methods lack a self-adaptive abilit...

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Main Authors: Wang, Yi, Bian, Zhen-Peng, Hou, Junhui, Chau, Lap-Pui
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2022
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在線閱讀:https://hdl.handle.net/10356/159626
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機構: Nanyang Technological University
語言: English