Grassmannian Graph-attentional Landmark Selection for Domain Adaptation.
Bin SunShaofan WangDehui KongJinghua LiBaocai YinPublished in: CoRR (2021)
Keyphrases
- domain adaptation
- multiple sources
- cross domain
- semi supervised
- labeled data
- target domain
- sentiment classification
- manifold alignment
- graph embedding
- document classification
- test data
- unlabeled data
- transfer learning
- covariate shift
- data sets
- text classification
- domain specific
- general purpose
- natural language processing
- supervised learning
- pairwise
- databases