Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples.
Shin'ya YamaguchiPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- discriminative models
- unsupervised learning
- semi supervised
- labeled samples
- unlabeled data
- labeled data
- unlabeled samples
- supervised learning
- machine learning
- semisupervised learning
- co training
- generative model
- manifold regularization
- label propagation
- semi supervised classification
- data sets
- active learning
- graph based semi supervised learning
- training samples
- training data
- semi supervised learning methods
- real world
- learning models
- semi supervised learning algorithms
- improve the classification accuracy
- transfer learning
- labeled training data
- discriminative learning
- clustering algorithm
- image segmentation
- bayesian networks
- pattern recognition
- knn
- training set
- data points
- labeled and unlabeled data
- domain adaptation
- knowledge discovery
- learning tasks
- training examples