Active Learning for Open-set Annotation.
Kun-Peng NingXun ZhaoYu LiSheng-Jun HuangPublished in: CoRR (2022)
Keyphrases
- active learning
- annotation effort
- random sampling
- learning algorithm
- training examples
- semi supervised
- pool based active learning
- selective sampling
- machine learning
- relevance feedback
- supervised learning
- labeled data
- learning strategies
- semi supervised learning
- cost sensitive
- sample selection
- active learning strategies
- unlabeled data
- class imbalance
- learning process
- training set
- experimental design
- transfer learning
- reinforcement learning
- information retrieval