2019
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
ICLR 2019poster
Eliciting labels from crowds is a potential way to obtain large labeled data. Despite a variety of methods developed for learning from crowds, a key challenge remains unsolved: \emph{learning from crowds without knowing the information structure among the crowds a priori, when some people of the cro…