Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning.
Justin LazarowKihyuk SohnChen-Yu LeeChun-Liang LiZizhao ZhangTomas PfisterPublished in: WACV (2023)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- semi supervised classification
- active learning
- supervised learning
- unsupervised learning
- label propagation
- manifold regularization
- learning problems
- machine learning
- transfer learning
- training data
- graph based semi supervised learning
- class imbalance
- learning models
- co training
- semi supervised learning algorithms
- data sets
- pairwise
- domain adaptation
- pairwise constraints
- face recognition
- training and test data
- semi supervised learning methods