An analysis of over-sampling labeled data in semi-supervised learning with FixMatch.
Miquel MartíSebastian BujwidAlessandro PieropanHossein AzizpourAtsuto MakiPublished in: NLDL (2022)
Keyphrases
- semi supervised learning
- labeled data
- unlabeled data
- semi supervised
- active learning
- supervised learning
- semi supervised classification
- text classification
- co training
- label propagation
- transfer learning
- unsupervised learning
- training data
- labeled and unlabeled data
- semi supervised learning algorithms
- semi supervised learning methods
- learning problems
- learning algorithm
- domain adaptation
- text categorization
- labeled training data
- data points
- labeled examples
- machine learning
- label information
- learning models
- regularization framework
- labeled instances
- multiple instance learning
- class labels
- unlabeled examples
- object recognition
- instance selection
- pairwise constraints
- machine learning algorithms
- data analysis
- semi supervised clustering