The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning.
Jesse H. KrijtheMarco LoogPublished in: NeurIPS (2018)
Keyphrases
- semi supervised learning
- unlabeled data
- semi supervised
- labeled data
- co training
- pairwise constraints
- semi supervised classification
- supervised learning
- manifold regularization
- training data
- labeled and unlabeled data
- unsupervised learning
- improve the classification accuracy
- machine learning
- label propagation
- active learning
- multi class
- learning problems
- graph based semi supervised learning
- transfer learning
- semi supervised learning algorithms
- learning models
- generalization error
- metric learning
- data sets
- class labels
- text classification
- semi supervised learning methods
- data mining
- discriminative learning
- training set
- learning algorithm