On the Importance of Calibration in Semi-supervised Learning.
Charlotte LohRumen DangovskiShivchander SudalairajSeungwook HanLigong HanLeonid KarlinskyMarin SoljacicAkash SrivastavaPublished in: CoRR (2022)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- unsupervised learning
- machine learning
- co training
- supervised learning
- label propagation
- active learning
- training data
- semi supervised classification
- graph based semi supervised learning
- manifold regularization
- labeled examples
- learning models
- transfer learning
- labeled and unlabeled data
- regularization framework
- learning problems
- domain adaptation
- semi supervised learning algorithms
- pattern recognition
- improve the classification accuracy
- semi supervised learning methods
- data sets
- metric learning
- pairwise
- learning algorithm