Interactive Augmentations, Features, and Parameters for Contrastive Learning [AI-eXplained]

Yu Ting Chen, Chien Yu Chiou, Chun Rong Huang*

*此作品的通信作者

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

Recently, contrastive learning has shown its effectiveness in self-supervised learning by training features of augmentations of input images based on the contrastive loss. This paper aims to introduce contrastive learning and discuss the effects of augmentations, features, and parameters of contrastive learning. Interactive figures are developed to demonstrate the effective schemes proposed in contrastive learning and can be accessed on IEEE Xplore.

原文English
頁(從 - 到)79-80
頁數2
期刊IEEE Computational Intelligence Magazine
19
發行號1
DOIs
出版狀態Published - 1 2月 2024

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