15 citations · 16 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection
Dennis Ulmer, Giovanni Cinà
A crucial requirement for reliable deployment of deep learning models for safety-critical applications is the ability to identify out-of-distribution (OOD) data points, samples whi…
cs.LG2020★ 15 cited
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data
Dennis Ulmer, Lotta Meijerink, Giovanni Cinà
When deploying machine learning models in high-stakes real-world environments such as health care, it is crucial to accurately assess the uncertainty concerning a model's predictio…
stat.ML2020★ 1 cited
Uncertainty estimation for classification and risk prediction on medical tabular data
Lotta Meijerink, Giovanni Cinà, Michele Tonutti
In a data-scarce field such as healthcare, where models often deliver predictions on patients with rare conditions, the ability to measure the uncertainty of a model's prediction c…