NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:3801
Title:BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

The paper proposes BatchBALD, a batch acquisition function for sample selection in active learning. A greedy optimization algorithm is presented for efficient sample selection and BatchBALD score maximization. The reviewers and AC agree that this is an interesting work and that the approach is clearly presented and convincing. In addition the author response satisfactorily addresses the points raised in the reviews. Hence acceptance is recommended.