Active learning with label comparisons.
Gal YonaShay MoranGal ElidanAmir GlobersonPublished in: UAI (2022)
Keyphrases
- active learning
- label noise
- active learning framework
- labeling effort
- unlabeled instances
- supervised learning
- active learner
- multi label
- relevance feedback
- random sampling
- training examples
- learning strategies
- machine learning
- experimental design
- labeled data
- learning algorithm
- selective sampling
- class labels
- query by committee
- training set
- semi supervised
- semi supervised learning
- cost sensitive
- data sets
- active learning strategies
- imbalanced data classification
- pool based active learning
- small number
- sample selection
- image labeling
- label propagation
- sample complexity
- graph cuts
- generalization error