On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation.
Maohao ShenYuheng BuGregory W. WornellPublished in: CoRR (2022)
Keyphrases
- domain adaptation
- multi source
- multiple sources
- semi supervised
- manifold alignment
- unsupervised learning
- data fusion
- target domain
- information fusion
- data sources
- active learning
- semi supervised learning
- labeled data
- data integration
- cross domain
- co training
- user interests
- sentiment classification
- supervised learning
- community detection
- unlabeled data
- social networks
- document classification