The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection.
Simon MarianiSander R. KlompRob RomijndersPeter H. N. de WithPublished in: VISIGRAPP (5: VISAPP) (2023)
Keyphrases
- covariate shift
- training and test data
- test data
- domain adaptation
- model selection
- training data
- test set
- text classification
- learning problems
- semi supervised learning
- training samples
- multi view
- labeled data
- unlabeled data
- error rate
- machine learning algorithms
- cross validation
- domain specific
- supervised learning
- data generation
- active learning
- decision trees