Domain Generalization by Marginal Transfer Learning.
Gilles BlanchardAniket Anand DeshmukhÜrün DoganGyemin LeeClayton ScottPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- transfer learning
- cross domain
- learning tasks
- labeled data
- knowledge transfer
- domain adaptation
- reinforcement learning
- target domain
- structure learning
- transfer knowledge
- active learning
- semi supervised learning
- learning algorithm
- manifold alignment
- text classification
- collaborative filtering
- multi task
- source domain
- machine learning algorithms
- transferring knowledge
- machine learning
- multi task learning
- text categorization
- supervised learning
- probability distribution
- training data
- algorithmic information theory
- neural network
- unlabeled data
- k nearest neighbor
- text mining
- nearest neighbor
- knn
- data points