Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning.
Kai GanTong WeiMin-Ling ZhangPublished in: CoRR (2024)
Keyphrases
- semi supervised learning
- supervised learning
- unlabeled data
- semi supervised
- semisupervised learning
- labeled data
- boosting framework
- labeled training data
- number of labeled examples
- machine learning
- partially labeled data
- manifold regularization
- co training
- covariate shift
- semi supervised classification
- semi supervised learning algorithms
- training examples
- unsupervised learning
- text categorization
- active learning
- learning problems
- training set
- supervised methods
- training data
- improve the classification accuracy
- label propagation
- labeled examples
- semi supervised learning methods
- domain adaptation
- training samples
- labeled instances
- training process
- metric learning
- learning algorithm
- unlabeled samples
- labeled and unlabeled data
- text mining
- multi class
- graph based semi supervised learning