Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency.
Jaeseung LimJongkeun NaNojun KwakPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- labeled samples
- supervised learning
- machine learning
- co training
- active learning
- training data
- label propagation
- labeled examples
- unsupervised learning
- unlabeled samples
- regularization framework
- learning problems
- manifold regularization
- improve the classification accuracy
- learning models
- semi supervised learning methods
- transfer learning
- semi supervised classification
- labeled and unlabeled data
- graph based semi supervised learning
- data mining
- domain adaptation
- data analysis
- pattern recognition
- class labels
- learning process
- decision trees
- computer vision
- data sets