Matching Embeddings for Domain Adaptation

no code implementations • 25 Sep 2019 • Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Pavlos Protopapas, Nicolás Astorga, Marouan Belhaj

In this work we address the problem of transferring knowledge obtained from a vast annotated source domain to a low labeled target domain.

Domain Adaptation Semi-supervised Domain Adaptation

Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models

no code implementations • 7 Dec 2018 • Marouan Belhaj, Pavlos Protopapas, Weiwei Pan

Thanks to the combination of a semi-supervised ELBO and parameters sharing across domains, we are able to simultaneously: (i) align all supervised examples of the same class into the same latent Gaussian Mixture component, independently from their domain; (ii) predict the class of unsupervised examples from different domains and use them to better model the occurring shifts.

General Classification Transfer Learning