3 papers
cs.LG2025
The Role of Active Learning in Modern Machine Learning
Thorben Werner, Lars Schmidt-Thieme, Vijaya Krishna Yalavarthi
Even though Active Learning (AL) is widely studied, it is rarely applied in contexts outside its own scientific literature. We posit that the reason for this is AL's high computati…
cs.LG2025
Towards Comparable Active Learning
Thorben Werner, Johannes Burchert, Lars Schmidt-Thieme
Active Learning has received significant attention in the field of machine learning for its potential in selecting the most informative samples for labeling, thereby reducing data…
cs.LG2025
Bayesian Active Learning By Distribution Disagreement
Thorben Werner, Lars Schmidt-Thieme
Active Learning (AL) for regression has been systematically under-researched due to the increased difficulty of measuring uncertainty in regression models. Since normalizing flows…