Inter-domain curriculum learning for domain generalization

Inter-domain curriculum learning for domain generalization

Domain generalization aims to learn a domain-invariant representation from multiple source domains so that a model can generalize well across unseen target domains. Such models are often trained with examples that are presented randomly from all source domains, which can make the training unstable d...

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Bibliographic Details
Main Authors:	Daehee Kim, Jinkyu Kim, Jaekoo Lee
Format:	Article
Language:	English
Published:	Elsevier 2022-06-01
Series:	ICT Express
Subjects:	Domain generalization Inter-domain curriculum learning Deep neural networks
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405959521001648

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