Rethinking Semi-Supervised Learning in VAEs.
Tom JoySebastian M. SchmonPhilip H. S. TorrN. SiddharthTom RainforthPublished in: CoRR (2020)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- unsupervised learning
- active learning
- co training
- labeled examples
- semi supervised classification
- manifold regularization
- machine learning
- training data
- improve the classification accuracy
- learning problems
- semi supervised learning algorithms
- label propagation
- graph based semi supervised learning
- labeled and unlabeled data
- domain adaptation
- learning tasks
- semi supervised clustering
- unlabeled samples
- regularization framework
- class labels
- generative model
- semi supervised learning methods
- feature selection
- computer vision