Optimizing Active Learning for Low Annotation Budgets.
Umang AggarwalAdrian PopescuCéline HudelotPublished in: CoRR (2022)
Keyphrases
- active learning
- annotation effort
- learning strategies
- machine learning
- random sampling
- selective sampling
- high levels
- experimental design
- training set
- learning process
- semi supervised
- training examples
- labeled data
- unlabeled data
- cost sensitive
- supervised learning
- support vector
- training data
- learning algorithm
- neural network
- real time
- image classification
- transfer learning
- semantic annotation
- sample selection