Scalable Batch Acquisition for Deep Bayesian Active Learning.

Aleksandr Rubashevskii Daria Kotova Maxim Panov

Published 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