On the Marginal Benefit of Active Learning: Does Self-Supervision Eat its Cake?
Yao-Chun ChanMingchen LiSamet OymakPublished in: ICASSP (2021)
Keyphrases
- active learning
- selective sampling
- random sampling
- machine learning
- supervised learning
- learning strategies
- learning algorithm
- learning process
- semi supervised
- online learning
- labeled data
- transfer learning
- training examples
- information systems
- pool based active learning
- class imbalance
- unlabeled data
- semi supervised learning
- training set
- multi class
- website
- artificial intelligence
- crowd sourced
- active learning strategies
- annotation effort
- genetic algorithm