Mitigating Sampling Bias and Improving Robustness in Active Learning.
Ranganath KrishnanAlok SinhaNilesh AhujaMahesh SubedarOmesh TickooRavi IyerPublished in: CoRR (2021)
Keyphrases
- active learning
- random sampling
- sampling strategies
- imbalanced class distribution
- active sampling
- sample size
- monte carlo
- sample selection
- sampling algorithm
- selective sampling
- machine learning
- semi supervised
- sampling strategy
- stratified sampling
- data sets
- learning strategies
- training examples
- supervised learning
- neural network
- experimental design
- high robustness
- support vector
- active learning strategies
- learning algorithm