Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation.
Kilian FatrasHiroki NaganumaIoannis MitliagkasPublished in: CoRR (2022)
Keyphrases
- domain adaptation
- label noise
- reproducing kernel hilbert space
- cross domain
- multiple sources
- learning algorithm
- document classification
- manifold alignment
- sentiment classification
- transfer learning
- semi supervised
- databases
- covariate shift
- test data
- multi label
- text categorization
- feature representation
- target domain
- unlabeled data
- general purpose
- natural language processing
- training data