Assaying Out-Of-Distribution Generalization in Transfer Learning.
Florian WenzelAndrea DittadiPeter V. GehlerCarl-Johann Simon-GabrielMax HornDominik ZietlowDavid KernertChris RussellThomas BroxBernt SchieleBernhard SchölkopfFrancesco LocatelloPublished in: NeurIPS (2022)
Keyphrases
- transfer learning
- learning tasks
- training and test data
- knowledge transfer
- labeled data
- machine learning
- reinforcement learning
- active learning
- structure learning
- semi supervised learning
- transfer knowledge
- cross domain
- collaborative filtering
- domain adaptation
- probability distribution
- multi task
- target domain
- data distribution
- bayesian networks
- manifold alignment
- text categorization
- multi task learning
- random variables
- unlabeled data
- text classification
- text mining
- learning algorithm
- data sets
- semi supervised
- feature space
- training data
- transferring knowledge