Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization.
Kien DoTruyen TranSvetha VenkateshPublished in: AAAI (2021)
Keyphrases
- semi supervised learning
- regularization framework
- variational bayesian inference
- manifold regularization
- semi supervised
- unlabeled data
- multi view learning
- labeled data
- supervised learning
- bayesian analysis
- machine learning
- labeled and unlabeled data
- unsupervised learning
- training data
- latent dirichlet allocation
- co training
- active learning
- semi supervised classification
- pattern recognition
- text classification
- principal component analysis
- clustering algorithm
- data sets
- prior information
- transfer learning
- class labels
- topic models
- learning algorithm
- pairwise