Revisiting Consistency Regularization for Semi-Supervised Learning.
Yue FanAnna KuklevaBernt SchielePublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- regularization framework
- manifold regularization
- semi supervised
- unlabeled data
- multi view learning
- labeled data
- supervised learning
- unsupervised learning
- semi supervised classification
- co training
- learning problems
- kernel machines
- active learning
- machine learning
- training data
- graph laplacian
- domain adaptation
- label propagation
- learning models
- nonnegative matrix factorization
- improve the classification accuracy
- semi supervised learning methods
- multi view
- semi supervised learning algorithms
- graph based semi supervised learning
- unlabeled samples
- labeled and unlabeled data
- metric learning
- learning algorithm