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Variational learning across domains with triplet information

The paper proposes the Variational Bi-domain Triplet Autoencoder (VBTA) that learns a joint distribution of objects from different domains with the help of the learning triplets that sampled from the shared latent space across domains.

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Cite this as

Rita Kuznetsova, Oleg Bakhteev, Alexandr Ogaltsov (2024). Dataset: Variational learning across domains with triplet information. https://doi.org/10.57702/khsgtbkz

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1806.08672
Author	Rita Kuznetsova
More Authors	Oleg Bakhteev Alexandr Ogaltsov