How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study.
Yiwen KouZixiang ChenYuan CaoQuanquan GuPublished in: ICLR (2023)
Keyphrases
- semi supervised learning
- active learning
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- machine learning
- unsupervised learning
- learning problems
- graph based semi supervised learning
- manifold regularization
- semi supervised classification
- learning models
- co training
- training examples
- label propagation
- labeled examples
- training data
- data sets
- pattern recognition
- regularization framework
- domain adaptation
- clustering algorithm
- graph construction
- natural language processing