Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
In this work, we present a method for unsupervised domain adaptation. Many adversarial learning methods train domain classifier networks to distinguish the features as either a ...
Publications
1 shownFrequent Co-Authors
Researcher Info
- h-index
- 1
- Publications
- 1
- Citations
- 2,122
- Institution
- The University of Tokyo
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- ORCID
- 0000-0002-3146-5439
Impact Metrics
h-index
1
h-index: Number of publications with at least h citations each.