Steffen Schneider

24 papers A* 5A 3Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions. CoRR Tobias Schmidt, Steffen Schneider, Matthias Bethge
2025	A*	`conf`	Self-supervised contrastive learning performs non-linear system identification. ICLR Rodrigo González Laiz, Tobias Schmidt, Steffen Schneider
2025	A	`conf`	Time-series attribution maps with regularized contrastive learning. AISTATS Steffen Schneider, Rodrigo González Laiz, Anastasiia Filippova, Markus Frey, Mackenzie W. Mathis
2025	J	`jnl`	Time-series attribution maps with regularized contrastive learning. CoRR Steffen Schneider, Rodrigo González Laiz, Anastasiia Filippova, Markus Frey, Mackenzie Weygandt Mathis
2024	—	`conf`	Bildung mit und uber KI in der Schule: Umsetzung einer partizipativen Unterrichtsplattform. DELFI Workshops Sarah Schönbrodt, Hanna Dohmen, Paul Pommer, Steffen Schneider, Nicolas Berberich, KI macht Schule Team
2023	A*	`conf`	RDumb: A simple approach that questions our progress in continual test-time adaptation. NeurIPS Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge
2023	J	`jnl`	RDumb: A simple approach that questions our progress in continual test-time adaptation. CoRR Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge
2023	—	`conf`	Unsupervised Object Learning via Common Fate. CLeaR Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2022	J	`jnl`	If your data distribution shifts, use self-learning. Trans. Mach. Learn. Res. Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
2022	J	`jnl`	Learnable latent embeddings for joint behavioral and neural analysis. CoRR Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis
2021	J	`jnl`	Adapting ImageNet-scale models to complex distribution shifts with self-learning. CoRR Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
2021	A*	`conf`	Contrastive Learning Inverts the Data Generating Process. ICML Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
2021	J	`jnl`	Contrastive Learning Inverts the Data Generating Process. CoRR Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
2021	A	`conf`	Pretraining boosts out-of-domain robustness for pose estimation. WACV Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
2021	J	`jnl`	Unsupervised Object Learning via Common Fate. CoRR Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2020	J	`jnl`	A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. CoRR Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis
2020	A*	`conf`	Improving robustness against common corruptions by covariate shift adaptation. NeurIPS Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
2020	J	`jnl`	Improving robustness against common corruptions by covariate shift adaptation. CoRR Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
2020	A*	`conf`	vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. ICLR Alexei Baevski, Steffen Schneider, Michael Auli
2019	J	`jnl`	vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. CoRR Alexei Baevski, Steffen Schneider, Michael Auli
2019	A	`conf`	wav2vec: Unsupervised Pre-Training for Speech Recognition. INTERSPEECH Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli
2019	J	`jnl`	wav2vec: Unsupervised Pre-training for Speech Recognition. CoRR Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli
2017	—	`conf`	Context-Based Normalization of Histological Stains Using Deep Convolutional Features. DLMIA/ML-CDS@MICCAI Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof
2017	J	`jnl`	Context-based Normalization of Histological Stains using Deep Convolutional Features. CoRR Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof