Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning.
Felix BuchertNassir NavabSeong Tae KimPublished in: CoRR (2022)
Keyphrases
- semi supervised
- unlabeled data
- active learning
- labeled data
- semi supervised learning
- unlabeled instances
- label propagation
- class labels
- co training
- labeled and unlabeled data
- label information
- labeled examples
- supervised learning
- labeling effort
- multi label learning
- semi supervised classification
- unlabeled examples
- training examples
- text categorization
- partially labeled
- text classification
- pairwise
- small set of labeled
- multi view
- manifold regularization
- labeling process
- pairwise constraints
- semi supervised clustering
- machine learning
- transfer learning
- labeled and unlabeled examples
- supervised and semi supervised
- training set
- semi supervised learning algorithms
- unlabeled samples
- domain adaptation
- labeled training data
- metric learning
- selective sampling
- fully supervised
- learning algorithm
- partially labeled data
- multi view learning
- multiple instance learning
- data sets
- semi supervised learning methods
- training data