Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination.
Tao ZhangTianqing ZhuJing LiMengde HanWanlei ZhouPhilip S. YuPublished in: IEEE Trans. Knowl. Data Eng. (2022)
Keyphrases
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- co training
- machine learning
- semi supervised classification
- labeled and unlabeled data
- unsupervised learning
- supervised learning
- labeled examples
- manifold regularization
- active learning
- semi supervised learning methods
- regularization framework
- semi supervised learning algorithms
- number of labeled examples
- label propagation
- training data
- transfer learning
- class labels
- text classification
- supervised learning algorithms
- improve the classification accuracy
- training examples
- semisupervised learning
- semi supervised learning setting
- pairwise constraints
- learning problems
- multi instance
- labeled training data
- training set
- unlabeled examples
- multi view