An analysis of over-sampling labeled data in semi-supervised learning with FixMatch.
Miquel Martí i RabadánSebastian BujwidAlessandro PieropanHossein AzizpourAtsuto MakiPublished in: CoRR (2022)
Keyphrases
- semi supervised learning
- labeled data
- unlabeled data
- semi supervised
- semi supervised classification
- active learning
- supervised learning
- text classification
- co training
- training data
- transfer learning
- label propagation
- class labels
- labeled and unlabeled data
- machine learning
- labeled training data
- text categorization
- labeled examples
- semi supervised learning methods
- abundant unlabeled data
- unsupervised learning
- data points
- learning models
- semi supervised learning algorithms
- training examples
- supervised learning algorithms
- unlabeled examples
- learning algorithm
- data analysis
- pairwise
- semi supervised clustering
- data sets
- label information
- unlabeled samples
- domain adaptation
- prior knowledge
- labeled instances
- text mining
- opinion detection
- learning problems