47 citations · 49 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 47 cited
Batch Active Learning at Scale
Gui Citovsky, Giulia DeSalvo, Claudio Gentile +4
The ability to train complex and highly effective models often requires an abundance of training data, which can easily become a bottleneck in cost, time, and computational resourc…
cs.LG2020★ 2 cited
Adaptive Region-Based Active Learning
Corinna Cortes, Giulia DeSalvo, Claudio Gentile +2
We present a new active learning algorithm that adaptively partitions the input space into a finite number of regions, and subsequently seeks a distinct predictor for each region,…