The information-theoretic value of unlabeled data in semi-supervised learning.
Alexander GolovnevDávid PálBalázs SzörényiPublished in: ICML (2019)
Keyphrases
- information theoretic
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- co training
- text categorization
- labeled and unlabeled data
- supervised learning
- semi supervised classification
- labeled examples
- unsupervised learning
- machine learning
- label propagation
- class labels
- learning problems
- labeled training data
- manifold regularization
- semi supervised learning methods
- active learning
- training data
- semi supervised learning algorithms
- improve the classification accuracy
- learning algorithm
- learning models
- transfer learning
- multi view learning
- number of labeled examples
- semi supervised learning setting
- pairwise constraints
- multiple instance learning
- unlabeled instances
- training examples
- pattern recognition