CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning.
Chen WeiKihyuk SohnClayton MellinaAlan L. YuilleFan YangPublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- manifold regularization
- semi supervised
- unlabeled data
- co training
- supervised learning
- labeled data
- discriminative models
- unsupervised learning
- regularization framework
- semi supervised classification
- active learning
- boosting framework
- label propagation
- graph based semi supervised learning
- learning models
- machine learning
- training data
- class labels
- learning problems
- multiple instance learning
- semi supervised learning algorithms
- semi supervised learning methods
- multi view learning
- opinion detection
- prior knowledge
- metric learning
- transfer learning
- probabilistic model
- object recognition
- reinforcement learning
- information retrieval
- data sets