Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference.
Abhishek KumarPrasanna SattigeriTom FletcherPublished in: NIPS (2017)
Keyphrases
- semi supervised learning
- manifold regularization
- manifold structure
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- machine learning
- unsupervised learning
- semi supervised classification
- active learning
- co training
- semi supervised learning algorithms
- label propagation
- training data
- learning models
- improve the classification accuracy
- graph based semi supervised learning
- graph laplacian
- manifold learning
- bayesian networks
- domain adaptation
- labeled and unlabeled data
- semi supervised learning methods
- low dimensional
- matrix completion
- dirichlet process mixture models
- metric learning
- euclidean space
- transfer learning
- model selection
- text classification
- high dimensional
- object recognition
- computer vision