Semantic augmentation by mixing contents for semi-supervised learning.
Rémy SunClément MassonGilles HénaffNicolas ThomeMatthieu CordPublished in: Pattern Recognit. (2024)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- machine learning
- training data
- unsupervised learning
- learning problems
- co training
- manifold regularization
- active learning
- regularization framework
- semi supervised classification
- text categorization
- label propagation
- semi supervised learning methods
- transfer learning
- learning models
- graph based semi supervised learning
- natural language
- labeled and unlabeled data
- domain adaptation
- graph construction
- improve the classification accuracy
- semi supervised learning algorithms
- transductive support vector machine
- labeled examples
- metric learning
- kernel methods
- feature extraction