3 papers
cs.LG2025
Mahalanobis++: Improving OOD Detection via Feature Normalization
Maximilian Mueller, Matthias Hein
Detecting out-of-distribution (OOD) examples is an important task for deploying reliable machine learning models in safety-critial applications. While post-hoc methods based on the…
cs.CV2024
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
Maximilian Mueller, Matthias Hein
In realistic medical settings, the data are often inherently long-tailed, with most samples concentrated in a few classes and a long tail of rare classes, usually containing just a…
cs.CV2024
How to train your ViT for OOD Detection
Maximilian Mueller, Matthias Hein
VisionTransformers have been shown to be powerful out-of-distribution detectors for ImageNet-scale settings when finetuned from publicly available checkpoints, often outperforming…