Incorporating Unlabeled Data into Distributionally Robust Learning.
Charlie FrognerSebastian ClaiciEdward ChienJustin SolomonPublished in: CoRR (2019)
Keyphrases
- unlabeled data
- active learning
- learning algorithm
- supervised learning
- semi supervised learning
- labeled and unlabeled data
- labeled data
- co training
- semi supervised
- domain adaptation
- learning process
- multi view learning
- sample selection bias
- semi supervised classification
- training data
- prior knowledge
- reinforcement learning
- text categorization
- positive examples
- labeled training data
- unsupervised learning
- learning problems
- data analysis
- supervised learning algorithms
- learning frameworks
- class labels
- feature extraction
- machine learning
- data sets