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Steffen Schneider 0001
Person information
- affiliation: University of Tübingen, Germany
- affiliation: EPFL, Geneva, Switzerland
Other persons with the same name
- Steffen Schneider 0002 — University of Paderborn, C.I.K., Germany
- Steffen Schneider 0003 — Procure.AI, London, UK
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2020 – today
- 2024
- [c9]Sarah Schönbrodt, Hanna Dohmen, Paul Pommer, Steffen Schneider, Nicolas Berberich, KI macht Schule Team:
Bildung mit und uber KI in der Schule: Umsetzung einer partizipativen Unterrichtsplattform. DELFI Workshops 2024: 21 - 2023
- [c8]Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf:
Unsupervised Object Learning via Common Fate. CLeaR 2023: 281-327 - [c7]Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge:
RDumb: A simple approach that questions our progress in continual test-time adaptation. NeurIPS 2023 - [i10]Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge:
RDumb: A simple approach that questions our progress in continual test-time adaptation. CoRR abs/2306.05401 (2023) - 2022
- [j1]Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge:
If your data distribution shifts, use self-learning. Trans. Mach. Learn. Res. 2022 (2022) - [i9]Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis:
Learnable latent embeddings for joint behavioral and neural analysis. CoRR abs/2204.00673 (2022) - 2021
- [c6]Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel:
Contrastive Learning Inverts the Data Generating Process. ICML 2021: 12979-12990 - [c5]Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis:
Pretraining boosts out-of-domain robustness for pose estimation. WACV 2021: 1858-1867 - [i8]Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel:
Contrastive Learning Inverts the Data Generating Process. CoRR abs/2102.08850 (2021) - [i7]Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge:
Adapting ImageNet-scale models to complex distribution shifts with self-learning. CoRR abs/2104.12928 (2021) - [i6]Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf:
Unsupervised Object Learning via Common Fate. CoRR abs/2110.06562 (2021) - 2020
- [c4]Alexei Baevski, Steffen Schneider, Michael Auli:
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. ICLR 2020 - [c3]Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge:
Improving robustness against common corruptions by covariate shift adaptation. NeurIPS 2020 - [i5]Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge:
Improving robustness against common corruptions by covariate shift adaptation. CoRR abs/2006.16971 (2020) - [i4]Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis:
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. CoRR abs/2009.00564 (2020)
2010 – 2019
- 2019
- [c2]Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli:
wav2vec: Unsupervised Pre-Training for Speech Recognition. INTERSPEECH 2019: 3465-3469 - [i3]Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli:
wav2vec: Unsupervised Pre-training for Speech Recognition. CoRR abs/1904.05862 (2019) - [i2]Alexei Baevski, Steffen Schneider, Michael Auli:
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. CoRR abs/1910.05453 (2019) - 2017
- [c1]Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof:
Context-Based Normalization of Histological Stains Using Deep Convolutional Features. DLMIA/ML-CDS@MICCAI 2017: 135-142 - [i1]Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof:
Context-based Normalization of Histological Stains using Deep Convolutional Features. CoRR abs/1708.04099 (2017)
Coauthor Index
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last updated on 2024-10-24 21:33 CEST by the dblp team
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