Scalable Batch Acquisition for Deep Bayesian Active Learning.
Aleksandr RubashevskiiDaria KotovaMaxim PanovPublished in: CoRR (2023)
Keyphrases
- active learning
- batch mode
- belief nets
- semi supervised
- random sampling
- selective sampling
- active learning strategies
- training set
- learning algorithm
- bayesian networks
- machine learning
- labeled data
- bayesian inference
- learning strategies
- imbalanced data classification
- web scale
- training examples
- data driven
- relevance feedback
- incremental learning
- experimental design
- maximum likelihood
- supervised learning
- data streams
- bayesian decision
- pool based active learning
- lightweight
- bayesian learning
- bayesian estimation
- crowd sourced
- annotation effort
- learning environment