Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization.
Peng LiuGuoyan ZhengPublished in: MLMI@MICCAI (2021)
Keyphrases
- semi supervised learning
- regularization framework
- semi supervised
- unlabeled data
- objective function
- supervised learning
- labeled data
- training data
- machine learning
- semi supervised classification
- unsupervised learning
- learning problems
- manifold regularization
- co training
- least squares
- graph based semi supervised learning
- learning models
- regularized least squares
- domain adaptation
- semi supervised learning algorithms
- unlabeled samples
- labeled and unlabeled data
- active learning
- high dimensional
- improve the classification accuracy
- knowledge discovery
- text mining