2 papers
cs.LG2025
Activation Subspaces for Out-of-Distribution Detection
Barış Zöngür, Robin Hesse, Stefan Roth
To ensure the reliability of deep models in real-world applications, out-of-distribution (OOD) detection methods aim to distinguish samples close to the training distribution (in-d…
cs.CV2025
Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
Robin Hesse, Doğukan Bağcı, Bernt Schiele +2
Deep learning has become an essential part of computer vision, with deep neural networks (DNNs) excelling in predictive performance. However, they often fall short in other critica…