2022
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
NeurIPS 2022accept
Deep learning (DL) algorithms rely on massive amounts of labeled data. Semi-supervised learning (SSL) and active learning (AL) aim to reduce this label complexity by leveraging unlabeled data or carefully acquiring labels, respectively. In this work, we primarily focus on designing an AL algorithm b…