Align, Distill, and Augment Everything All at Once for Imbalanced Semi-Supervised Learning.
Emanuel Sanchez AimarHannah HelgesenMichael FelsbergMarco KuhlmannPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- unsupervised learning
- supervised learning
- class distribution
- active learning
- semi supervised classification
- machine learning
- class imbalance
- learning problems
- co training
- semi supervised learning algorithms
- improve the classification accuracy
- graph based semi supervised learning
- labeled and unlabeled data
- learning models
- training data
- instance selection
- regularization framework
- high dimensional
- manifold regularization
- domain adaptation
- label propagation
- graph construction
- semi supervised learning methods
- similarity measure