Boosting Semi-Supervised Learning by bridging high and low-confidence predictions.
Khanh-Binh NguyenJoon-Sung YangPublished in: ICCV (Workshops) (2023)
Keyphrases
- semi supervised learning
- boosting framework
- semisupervised learning
- semi supervised
- machine learning
- unlabeled data
- labeled data
- supervised learning
- unsupervised learning
- manifold regularization
- label propagation
- co training
- text categorization
- learning problems
- improve the classification accuracy
- training data
- high confidence
- graph based semi supervised learning
- learning models
- boosting algorithms
- active learning
- semi supervised classification
- transfer learning
- cost sensitive
- maximum likelihood
- feature selection
- semi supervised learning algorithms
- ensemble methods
- domain adaptation
- multi class
- naacl hlt
- labeled and unlabeled data
- labeled examples
- natural language processing
- support vector machine
- e learning
- learning algorithm