Parting with Illusions about Deep Active Learning.
Sudhanshu MittalMaxim TatarchenkoÖzgün ÇiçekThomas BroxPublished in: CoRR (2019)
Keyphrases
- active learning
- random sampling
- semi supervised
- learning strategies
- machine learning
- unlabeled data
- human vision
- training set
- relevance feedback
- learning algorithm
- active learning strategies
- labeled data
- experimental design
- deep learning
- selective sampling
- training examples
- computer vision
- crowd sourced
- batch mode
- annotation effort
- batch mode active learning
- pool based active learning
- generalization error
- cost sensitive
- online learning
- supervised learning
- probabilistic model
- class imbalance
- transfer learning
- sample selection
- case study
- feature selection