Neural Active Learning on Heteroskedastic Distributions.
Savya KhoslaChew Kin WhyeJordan T. AshCyril ZhangKenji KawaguchiAlex LambPublished in: CoRR (2022)
Keyphrases
- active learning
- network architecture
- neural network
- semi supervised
- supervised learning
- selective sampling
- machine learning
- neural model
- learning strategies
- nonlinear predictive control
- labeled data
- feature selection
- imbalanced data classification
- probability distribution
- relevance feedback
- crowd sourced
- neural fuzzy
- artificial neural
- training set
- experimental design
- random sampling
- random variables
- class imbalance
- joint distribution
- kullback leibler divergence
- artificial neural networks
- gaussian distribution
- associative memory
- sample size
- active learning strategies
- annotation effort
- pool based active learning
- support vector machine
- maximum likelihood