Towards Exploring the Limitations of Active Learning: An Empirical Study.
Qiang HuYuejun GuoMaxime CordyXiaofei XieWei MaMike PapadakisYves Le TraonPublished in: ASE (2021)
Keyphrases
- active learning
- learning strategies
- learning algorithm
- semi supervised
- machine learning
- random sampling
- class imbalance
- experimental design
- active learning strategies
- labeled data
- unlabeled data
- imbalanced data classification
- pool based active learning
- annotation effort
- selective sampling
- databases
- text classification
- evolutionary algorithm
- learning process
- neural network