Reducing Label Effort: Self-Supervised meets Active Learning.
Javad Zolfaghari BengarJoost van de WeijerBartlomiej TwardowskiBogdan C. RaducanuPublished in: ICCVW (2021)
Keyphrases
- active learning
- labeling effort
- label noise
- active learning framework
- annotation effort
- machine learning
- unlabeled instances
- labeled data
- learning algorithm
- image labeling
- semi supervised
- selective sampling
- supervised learning
- learning strategies
- transfer learning
- sample selection
- crowd sourced
- relevance feedback
- active learner
- genetic algorithm
- query by committee
- database
- music emotion classification
- class imbalance
- generalization error
- semi supervised learning
- training set
- e learning
- information retrieval
- data sets