Large-Scale Visual Active Learning with Deep Probabilistic Ensembles.
Kashyap ChittaJose M. AlvarezAdam LesnikowskiPublished in: CoRR (2018)
Keyphrases
- active learning
- small scale
- crowd sourced
- machine learning
- bayesian networks
- training set
- semi supervised
- active learning strategies
- generative model
- selective sampling
- visual information
- experimental design
- visual cues
- random sampling
- probability theory
- probabilistic logic
- data sets
- supervised learning
- probabilistic model
- real life
- decision trees
- visual perception
- pool based active learning
- learning strategies
- random forests
- ensemble methods
- uncertain data
- labeled data
- visual features
- graphical models
- real world