2026
AP-OOD: Attention Pooling for Out-of- Distribution Detection
ICLR 2026poster
Out-of-distribution (OOD) detection, which maps high-dimensional data into a scalar OOD score, is critical for the reliable deployment of machine learning models. A key challenge in recent research is how to effectively leverage and aggregate token embeddings from language models to obtain the OOD s…