Steffen Schneider

According to our database, Steffen Schneider authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bildung mit und uber KI in der Schule: Umsetzung einer partizipativen Unterrichtsplattform.

Sarah Schönbrodt, Hanna Dohmen, Paul Pommer, Steffen Schneider, Nicolas Berberich, KI macht Schule Team

Proceedings of DELFI Workshops 2024, Fulda, Germany, September 9-11, 2024, 2024

2023

RDumb: A simple approach that questions our progress in continual test-time adaptation.

Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Object Learning via Common Fate.

Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf

Proceedings of the Conference on Causal Learning and Reasoning, 2023

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

Trans. Mach. Learn. Res., 2022

Learnable latent embeddings for joint behavioral and neural analysis.

Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis

CoRR, 2022

2021

Adapting ImageNet-scale models to complex distribution shifts with self-learning.

Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge

CoRR, 2021

Pretraining boosts out-of-domain robustness for pose estimation.

Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Contrastive Learning Inverts the Data Generating Process.

Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives.

Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis

CoRR, 2020

Improving robustness against common corruptions by covariate shift adaptation.

Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations.

Alexei Baevski, Steffen Schneider, Michael Auli

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

wav2vec: Unsupervised Pre-Training for Speech Recognition.

Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2017

Context-Based Normalization of Histological Stains Using Deep Convolutional Features.

Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017