Optimizing GANs using Relativistic Discriminator with Margin Losses for Semi-supervised Learning.
Duc-Thao DoTien-Dung CaoHien TranHuy Quoc LePublished in: SoICT (2023)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- training data
- supervised learning
- unsupervised learning
- semi supervised classification
- machine learning
- support vector
- learning models
- label propagation
- regularization framework
- manifold regularization
- active learning
- learning problems
- semi supervised learning algorithms
- graph based semi supervised learning
- domain adaptation
- labeled examples
- maximum margin
- co training
- transfer learning
- training set
- decision boundary
- decision trees
- semi supervised learning methods
- learning algorithm
- data sets