Interpolation consistency training for semi-supervised learning.
Vikas VermaKenji KawaguchiAlex LambJuho KannalaArno SolinYoshua BengioDavid Lopez-PazPublished in: Neural Networks (2022)
Keyphrases
- semi supervised learning
- supervised learning
- semi supervised
- unlabeled data
- labeled training data
- number of labeled examples
- labeled data
- covariate shift
- training examples
- unsupervised learning
- machine learning
- manifold regularization
- co training
- training data
- active learning
- training set
- learning problems
- semi supervised classification
- transfer learning
- labeled examples
- high dimensional
- semi supervised learning algorithms
- data mining
- improve the classification accuracy
- label propagation
- training process
- labeled and unlabeled data
- feature selection
- semi supervised learning methods
- object recognition
- graph based semi supervised learning
- text mining
- learning tasks
- image reconstruction
- neural network
- learning algorithm
- unlabeled samples
- training samples
- text classification