Active Learning under Label Shift.
Eric ZhaoAnqi LiuAnimashree AnandkumarYisong YuePublished in: CoRR (2020)
Keyphrases
- active learning
- label noise
- active learning framework
- unlabeled instances
- labeling effort
- active learner
- semi supervised
- learning strategies
- multi label
- class labels
- active learning strategies
- experimental design
- selective sampling
- unlabeled data
- learning process
- learning algorithm
- pool based active learning
- random sampling
- training examples
- labeled data
- batch mode
- cost sensitive
- supervised learning
- training set
- multi label classification
- batch mode active learning
- machine learning
- class imbalance
- image labeling
- semi supervised learning
- training data
- imbalanced data classification