Return of Frustratingly Easy Domain Adaptation
Unlike human learning, machine learning often fails to handle changes between training (source) and test (target) input distributions. Such domain shifts, common in practical sc...
Publications
2 shownMoment Matching for Multi-Source Domain Adaptation
Conventional unsupervised domain adaptation (UDA) assumes that training data are sampled from a single domain. This neglects the more practical scenario where training data are ...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 3,249
- Institution
- University of Massachusetts Lowell
External Links
Identifiers
- ORCID
- 0000-0002-7564-7218
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.