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Cross Domain Generative Augmentation

The authors propose a novel data augmentation method called Cross Domain Generative Augmentation (CDGA) to reduce the estimation error of Empirical Risk Minimization (ERM) under domain shift.

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Cite this as

Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang (2024). Dataset: Cross Domain Generative Augmentation. https://doi.org/10.57702/tszze9gp

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Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2312.05387
Author Sobhan Hemati
More Authors
Mahdi Beitollahi
Amir Hossein Estiri
Bassel Al Omari
Xi Chen
Guojun Zhang
Homepage https://arxiv.org/abs/2304.07193