no code implementations • 28 Feb 2023 • Sai Prathyush Katragadda, Tyler Cody, Peter Beling, Laura Freeman
The proposed methods are data-centric, as opposed to model-centric, and through our experiments we show that the inclusion of coverage in active learning leads to sampling data that tends to be the best in transferring to better performing models and has a competitive sampling bias compared to benchmark methods.