ML Anthology

Schneider, Steffen

14 publications

NeurIPS 2025 ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts Jinho Choi, Hyesu Lim, Steffen Schneider, Jaegul Choo
NeurIPS 2025 Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions Tobias Schmidt, Steffen Schneider, Matthias Bethge
ICLR 2025 Self-Supervised Contrastive Learning Performs Non-Linear System Identification Rodrigo González Laiz, Tobias Schmidt, Steffen Schneider
ICLR 2025 Sparse Autoencoders Reveal Selective Remapping of Visual Concepts During Adaptation Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider
AISTATS 2025 Time-Series Attribution Maps with Regularized Contrastive Learning Steffen Schneider, Rodrigo González Laiz, Anastasiia Filippova, Markus Frey, Mackenzie W Mathis
NeurIPS 2023 RDumb: A Simple Approach That Questions Our Progress in Continual Test-Time Adaptation Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge
CLeaR 2023 Unsupervised Object Learning via Common Fate Matthias Tangemann, Steffen Schneider, Julius Von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kuemmerer, Matthias Bethge, Bernhard Schölkopf
ICMLW 2022 CCC: Continuously Changing Corruptions Ori Press, Steffen Schneider, Matthias Kuemmerer, Matthias Bethge
TMLR 2022 If Your Data Distribution Shifts, Use Self-Learning Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
ICMLW 2022 ImageNet-D: A New Challenging Robustness Dataset Inspired by Domain Adaptation Evgenia Rusak, Steffen Schneider, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
ICML 2021 Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
WACV 2021 Pretraining Boosts Out-of-Domain Robustness for Pose Estimation Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yuksekgonul, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
NeurIPS 2020 Improving Robustness Against Common Corruptions by Covariate Shift Adaptation Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
ICLR 2020 Vq-Wav2vec: Self-Supervised Learning of Discrete Speech Representations Alexei Baevski, Steffen Schneider, Michael Auli