Divergent-GAN for Positive Unlabeled learning

The proposed approach incorporates a biased PU risk into a generic GAN framework to guide the generator convergence towards the negative samples distribution.

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Cite this as

Florent Chiaroni, Ghazaleh Khodabandeloub, Mohamed-Cherif Rahala, Nicolas Hueber, Frederic Dufaux (2024). Dataset: Divergent-GAN for Positive Unlabeled learning. https://doi.org/10.57702/9we8baye

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1910.01968
Author Florent Chiaroni
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Ghazaleh Khodabandeloub
Mohamed-Cherif Rahala
Nicolas Hueber
Frederic Dufaux