Biased Representation Learning for Domain Adaptation
Representation learning is a promising technique for discovering features that allow supervised classifiers to generalize from a source domain dataset to arbitrary new domains. ...
Publications
1 shownFrequent Co-Authors
Researcher Info
- h-index
- 1
- Publications
- 1
- Citations
- 23
- Institution
- Temple University
External Links
Identifiers
- ORCID
- 0000-0002-3709-5053
Impact Metrics
h-index
1
h-index: Number of publications with at least h citations each.