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...

Full description

Saved in:
Bibliographic Details
Main Authors: Wang, Yi, Bian, Zhen-Peng, Hou, Junhui, Chau, Lap-Pui
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/159626
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Similar Items