VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning.
Jongwon ChoiKwang Moo YiJihoon KimJinho ChooByoungjip KimJin-Yeop ChangYoungjune GwonHyung Jin ChangPublished in: CVPR (2021)
Keyphrases
- class imbalance
- active learning
- variational bayes
- hyperparameters
- random sampling
- bayesian inference
- latent variables
- gaussian mixture model
- latent dirichlet allocation
- posterior distribution
- training examples
- semi supervised
- imbalanced datasets
- training set
- supervised learning
- learning algorithm
- class distribution
- model selection
- cost sensitive
- machine learning
- imbalanced class distribution
- unlabeled data
- labeled data
- maximum likelihood
- prior information
- cross validation
- generative model
- em algorithm
- expectation maximization
- markov chain monte carlo
- high dimensionality
- closed form
- probabilistic model
- learning process
- data streams
- data mining