2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Revisiting Active Learning under (Human) Label Variation
Cornelia Gruber, Helen Alber, Bernd Bischl +3
Access to high-quality labeled data remains a limiting factor in applied supervised learning. While label variation (LV), i.e., differing labels for the same instance, is common, e…
cs.LG2021★ 2 cited
Specialists Outperform Generalists in Ensemble Classification
Sascha Meyen, Frieder Göppert, Helen Alber +2
Consider an ensemble of individual classifiers whose accuracies are known. Upon receiving a test point, each of the classifiers outputs a predicted label and a confidence in it…