Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions

Jihyo Kim, Jeonghyeon Kim, Sangheum Hwang

Active learning aims to identify the most informative data from an unlabeled data pool that enables a model to reach the desired accuracy rapidly. This benefits especially deep neu…