Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination.
Tao ZhangTianqing ZhuJing LiMengde HanWanlei ZhouPhilip S. YuPublished in: CoRR (2020)
Keyphrases
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- co training
- semi supervised classification
- labeled examples
- training data
- active learning
- unsupervised learning
- supervised learning
- labeled and unlabeled data
- machine learning
- text classification
- unlabeled examples
- number of labeled examples
- domain adaptation
- class labels
- labeled training data
- label propagation
- training examples
- learning problems
- semi supervised learning algorithms
- semi supervised learning methods
- manifold regularization
- multi view learning
- improve the classification accuracy
- multiple instance learning
- metric learning
- sample selection bias
- unlabeled training data
- pairwise constraints
- learning models
- transfer learning
- information retrieval
- label information
- supervised learning algorithms
- multi view
- prior knowledge
- e learning
- learning algorithm