On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake?
Yao-Chun ChanMingchen LiSamet OymakPublished in: CoRR (2020)
Keyphrases
- active learning
- random sampling
- machine learning
- learning algorithm
- semi supervised
- supervised learning
- pool based active learning
- selective sampling
- learning strategies
- relevance feedback
- probability distribution
- batch mode active learning
- annotation effort
- labeled data
- online learning
- neural network
- class imbalance
- databases
- active learning strategies
- experimental design
- training examples
- decision making
- data mining
- artificial intelligence
- batch mode
- sample selection
- database
- knowledge base
- training data