Semi-supervised Learning using Adversarial Training with Good and Bad Samples.
Wenyuan LiZichen WangYuguang YueJiayun LiWilliam SpeierMingyuan ZhouCorey W. ArnoldPublished in: CoRR (2019)
Keyphrases
- semi supervised learning
- supervised learning
- training samples
- unlabeled data
- semi supervised
- training set
- labeled data
- number of labeled examples
- labeled training data
- training examples
- training data
- labeled samples
- machine learning
- unlabeled samples
- labeled examples
- unsupervised learning
- semi supervised classification
- active learning
- co training
- covariate shift
- label propagation
- training process
- training dataset
- manifold regularization
- data sets
- semi supervised learning methods
- graph based semi supervised learning
- learning algorithm
- learning problems
- class labels
- labeled instances
- sample selection
- learning models
- semi supervised learning algorithms
- graph construction
- domain adaptation
- transfer learning
- high dimensional
- feature space
- data mining