Learning Algorithms for Active Learning.
Philip BachmanAlessandro SordoniAdam TrischlerPublished in: ICML (2017)
Keyphrases
- active learning
- learning algorithm
- machine learning
- supervised learning
- unlabeled data
- training examples
- batch mode
- learning process
- learning strategies
- transfer learning
- labeled data
- query by committee
- training set
- machine learning algorithms
- pool based active learning
- online learning
- semi supervised learning
- relevance feedback
- generalization error
- selective sampling
- learning rate
- sample selection
- labeled examples
- training data
- annotation effort
- active learning strategies
- sample complexity
- e learning
- decision trees
- learning scheme
- uniform distribution
- cost sensitive
- reinforcement learning
- back propagation