ML Anthology

Hesse, Robin

7 publications

TMLR 2026 Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models? Robin Hesse, Doğukan Bağcı, Bernt Schiele, Simone Schaub-Meyer, Stefan Roth
ICCV 2025 Activation Subspaces for Out-of-Distribution Detection Barış Zöngür, Robin Hesse, Stefan Roth
CVPRW 2025 Disentangling Polysemantic Channels in Convolutional Neural Networks Robin Hesse, Jonas Fischer, Simone Schaub-Meyer, Stefan Roth
NeurIPS 2024 Benchmarking the Attribution Quality of Vision Models Robin Hesse, Simone Schaub-Meyer, Stefan Roth
CVPRW 2023 Content-Adaptive Downsampling in Convolutional Neural Networks Robin Hesse, Simone Schaub-Meyer, Stefan Roth
ICCV 2023 FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse, Simone Schaub-Meyer, Stefan Roth
NeurIPS 2021 Fast Axiomatic Attribution for Neural Networks Robin Hesse, Simone Schaub-Meyer, Stefan Roth