Learning Algorithms for Active Learning.
Philip BachmanAlessandro SordoniAdam TrischlerPublished in: ICLR (Workshop) (2017)
Keyphrases
- active learning
- learning algorithm
- training examples
- supervised learning
- labeled data
- machine learning
- unlabeled data
- pool based active learning
- batch mode
- learning process
- generalization error
- semi supervised
- transfer learning
- online learning
- training set
- learning strategies
- annotation effort
- random sampling
- cost sensitive
- training samples
- selective sampling
- machine learning algorithms
- experimental design
- active learner
- learning rate
- training data
- learning tasks
- learning problems
- learning scheme
- sample complexity
- bayesian networks
- learning environment
- sample selection
- query by committee
- model selection
- support vector machine
- relevance feedback