Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification.
Hao ZhenYucheng ShiJidong J. YangJavad Mohammadpour VehniPublished in: CoRR (2022)
Keyphrases
- supervised learning
- unsupervised learning
- class labels
- supervised machine learning
- supervised classification
- machine learning
- training set
- support vector
- decision trees
- feature vectors
- training samples
- discriminative learning
- classification systems
- classification scheme
- text classification
- classification models
- classification method
- hybrid generative discriminative
- pattern recognition
- supervised and unsupervised learning
- accurate classification
- training examples
- training data
- image classification
- classification accuracy
- preprocessing
- semi supervised learning
- labeled data
- feature extraction
- cross validation
- pattern classification
- model selection
- reinforcement learning
- knn
- small sample
- active learning
- data mining
- feature space