2 papers
cs.CV2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
Yifan Ding, Xixi Liu, Jonas Unger +1
\noindent Out-of-distribution (OOD) detection is essential for the safe deployment of machine learning models. Extensive work has focused on devising various scoring functions for…
cs.LG2025
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
Yifan Ding, Arturas Aleksandraus, Amirhossein Ahmadian +3
Out-of-distribution (OOD) detection is critical for ensuring the reliability of deep learning systems, particularly in safety-critical applications. Likelihood-based deep generativ…