Semi-supervised learning using adversarial training with good and bad samples.
Wenyuan LiZichen WangYuguang YueJiayun LiWilliam SpeierMingyuan ZhouCorey W. ArnoldPublished in: Mach. Vis. Appl. (2020)
Keyphrases
- semi supervised learning
- supervised learning
- unlabeled data
- training samples
- semi supervised
- training set
- training examples
- labeled training data
- labeled data
- number of labeled examples
- training data
- unlabeled samples
- labeled samples
- active learning
- machine learning
- unsupervised learning
- training process
- manifold regularization
- learning problems
- graph based semi supervised learning
- labeled examples
- sample selection
- covariate shift
- co training
- data sets
- semi supervised learning methods
- training dataset
- label propagation
- semi supervised classification
- domain adaptation
- labeled instances
- transfer learning
- labeled and unlabeled data
- learning algorithm
- multiple instance learning
- multi view learning
- learning models
- knowledge discovery
- high dimensional
- semi supervised learning algorithms
- learning tasks
- test data
- multi view