6 citations · 6 across the 18 of their papers we have counts for
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cs.LG2023
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams
Anton Winter, Nicolas Jourdan, Tristan Wirth +2
In safety-critical domains such as autonomous driving and medical diagnosis, the reliability of machine learning models is crucial. One significant challenge to reliability is conc…
cs.CV2023
Bias and Diversity in Synthetic-based Face Recognition
Marco Huber, Anh Thi Luu, Fadi Boutros +2
Synthetic data is emerging as a substitute for authentic data to solve ethical and legal challenges in handling authentic face data. The current models can create real-looking face…