Incorporating Unlabeled Data into Distributionally Robust Learning.
Charlie FrognerSebastian ClaiciEdward ChienJustin SolomonPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- unlabeled data
- active learning
- semi supervised learning
- learning algorithm
- labeled data
- semi supervised
- supervised learning
- labeled and unlabeled data
- co training
- supervised learning algorithms
- learning process
- domain adaptation
- text classification
- positive examples
- prior knowledge
- training set
- multi view learning
- learning tasks
- learning problems
- learning frameworks
- sample selection bias
- text categorization
- unsupervised learning
- labeled training data
- learning models
- data mining
- training data
- positive and unlabeled examples
- partially labeled data