VERIPS: Verified Pseudo-label Selection for Deep Active Learning.
Sandra GilhuberPhilipp JahnYunpu MaThomas SeidlPublished in: ICDM (2022)
Keyphrases
- active learning
- label noise
- labeling effort
- active learning framework
- sample selection
- labeled data
- unlabeled instances
- selection algorithm
- active learner
- learning strategies
- learning process
- supervised learning
- multi label
- semi supervised
- random sampling
- real time
- annotation effort
- transfer learning
- training examples
- evolutionary algorithm
- learning algorithm
- machine learning