Active Learning with Label Proportions.
Rafael PoyiadziRaúl Santos-RodríguezNiall TwomeyPublished in: ICASSP (2019)
Keyphrases
- active learning
- label noise
- active learning framework
- unlabeled instances
- labeling effort
- active learner
- learning strategies
- selective sampling
- multi label
- learning algorithm
- cost sensitive
- labeled data
- supervised learning
- training set
- semi supervised
- active learning strategies
- machine learning
- semi supervised learning
- batch mode
- sample selection
- experimental design
- random sampling
- image labeling
- annotation effort
- data sets
- labeling process
- labeled examples
- sample complexity
- class imbalance
- relevance feedback
- learning environment
- case study
- neural network