Assaying Out-Of-Distribution Generalization in Transfer Learning.
Florian WenzelAndrea DittadiPeter Vincent GehlerCarl-Johann Simon-GabrielMax HornDominik ZietlowDavid KernertChris RussellThomas BroxBernt SchieleBernhard SchölkopfFrancesco LocatelloPublished in: CoRR (2022)
Keyphrases
- transfer learning
- training and test data
- knowledge transfer
- learning tasks
- reinforcement learning
- machine learning
- active learning
- machine learning algorithms
- structure learning
- cross domain
- labeled data
- collaborative filtering
- manifold alignment
- learning algorithm
- text classification
- domain adaptation
- multi task
- target domain
- text categorization
- transfer knowledge
- semi supervised learning
- multi task learning
- random variables
- transferring knowledge
- learning problems
- data sets
- probability distribution
- databases
- knowledge management
- natural language processing