Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation.
Dapeng HuJian LiangJun Hao LiewChuhui XueSong BaiXinchao WangPublished in: NeurIPS (2023)
Keyphrases
- model selection
- domain adaptation
- covariate shift
- semi supervised
- unsupervised learning
- cross validation
- manifold alignment
- semi supervised learning
- cross domain
- hyperparameters
- supervised learning
- multiple sources
- labeled data
- machine learning
- sample size
- test data
- regression model
- unlabeled data
- feature selection
- target domain
- data sets
- gaussian process
- sentiment classification
- training samples
- training set
- selection criterion
- transfer learning
- information criterion
- model selection criteria
- pairwise
- document classification
- kernel matrix
- recommender systems
- text classification
- training examples