Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles.
Jiefeng ChenFrederick LiuBesim AvciXi WuYingyu LiangSomesh JhaPublished in: CoRR (2021)
Keyphrases
- unlabeled data
- semi supervised learning
- co training
- semi supervised
- labeled data
- semi supervised classification
- training set
- ensemble learning
- supervised learning
- labeled training data
- active learning
- labeled instances
- labeled examples
- text categorization
- unsupervised learning
- labeled and unlabeled data
- multi view
- label propagation
- training data
- learning algorithm
- abundant unlabeled data
- training examples
- number of labeled examples
- class labels
- domain adaptation
- class distribution
- learning models
- data points
- single view
- text classification
- small set of labeled
- machine learning
- transfer learning
- semi supervised learning algorithms
- classification accuracy
- labeling effort
- prediction accuracy
- positive examples
- multi class
- multiple instance learning
- decision trees
- learning tasks
- information retrieval