Improving Open-Set Semi-Supervised Learning with Self-Supervision.
Erik WallinLennart SvenssonFredrik KahlLars HammarstrandPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- active learning
- labeled data
- semi supervised classification
- machine learning
- supervised learning
- learning problems
- unsupervised learning
- label propagation
- improve the classification accuracy
- manifold regularization
- training data
- learning models
- regularization framework
- graph based semi supervised learning
- co training
- metric learning
- labeled examples
- training examples
- pairwise
- semi supervised learning algorithms
- semi supervised learning methods
- loss function
- decision trees
- computer vision
- learning algorithm