BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

Andreas Kirsch, Joost van Amersfoort, Yarin Gal

Neural Information Processing Systems 

We develop BatchBALD, a tractable approximation to the mutual information between a batch of points and model parameters, which we use as an acquisition function to select multiple informative points jointly for the task of deep Bayesian active learning.