Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training

no code implementations • 6 Mar 2024 • Paul Doucet, Benjamin Estermann, Till Aczel, Roger Wattenhofer

This study addresses the integration of diversity-based and uncertainty-based sampling strategies in active learning, particularly within the context of self-supervised pre-trained models.

Active Learning