Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning.
Ju HeAdam KortylewskiShaokang YangShuai LiuCheng YangChanghu WangAlan L. YuillePublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- multi view semi supervised learning
- unsupervised learning
- supervised learning
- semi supervised classification
- machine learning
- random sampling
- active learning
- training data
- semi supervised learning methods
- learning problems
- manifold regularization
- learning models
- label propagation
- semi supervised learning algorithms
- transfer learning
- class distribution
- co training
- class imbalance
- graph based semi supervised learning
- training examples
- sampling algorithm
- labeled and unlabeled data
- multi class
- similarity measure
- feature selection