2 papers
cs.LG2019
Matching Embeddings for Domain Adaptation
Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Pavlos Protopapas +2
In this work we address the problem of transferring knowledge obtained from a vast annotated source domain to a low labeled target domain. We propose Adversarial Variational Domain…
cs.LG2018
Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models
Marouan Belhaj, Pavlos Protopapas, Weiwei Pan
In real-world applications, it is often expensive and time-consuming to obtain labeled examples. In such cases, knowledge transfer from related domains, where labels are abundant,…