Active Learning under Label Shift.
Eric ZhaoAnqi LiuAnimashree AnandkumarYisong YuePublished in: AISTATS (2021)
Keyphrases
- active learning
- label noise
- active learning framework
- labeling effort
- unlabeled instances
- supervised learning
- active learner
- learning algorithm
- learning strategies
- machine learning
- semi supervised
- multi label
- random sampling
- imbalanced data classification
- pool based active learning
- selective sampling
- active learning strategies
- labeled data
- relevance feedback
- class imbalance
- experimental design
- unlabeled data
- learning process
- annotation effort
- case study
- sample complexity
- paradigm shift
- image labeling
- cost sensitive
- batch mode active learning
- database