Steffen Schneider
Steffen Schneider
Group Leader (Tenure Track), Helmholtz Munich
Verified email at - Homepage
Cited by
Cited by
wav2vec: Unsupervised Pre-training for Speech Recognition
S Schneider, A Baevski, R Collobert, M Auli
Interspeech 2019, 2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
A Baevski*, S Schneider*, M Auli
International Conference on Learning Representations (ICLR), 2019
Improving robustness against common corruptions by covariate shift adaptation
S Schneider*, E Rusak*, L Eck, O Bringmann, W Brendel, M Bethge
Advances in Neural Information Processing Systems 34, 2020
Multi-animal pose estimation, identification and tracking with DeepLabCut
J Lauer, M Zhou, S Ye, W Menegas, S Schneider, T Nath, MM Rahman, ...
Nature Methods 19 (4), 496-504, 2022
Contrastive Learning Inverts the Data Generating Process
RS Zimmermann*, Y Sharma*, S Schneider*, M Bethge, W Brendel
38th International Conference on Machine Learning (ICML), 2021
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives
A Mathis, S Schneider, J Lauer, MW Mathis
Neuron 108 (1), 44-65, 2020
Pretraining boosts out-of-domain robustness for pose estimation
A Mathis*, T Biasi*, S Schneider, M Yüksekgönül, B Rogers, M Bethge, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
Learnable latent embeddings for joint behavioral and neural analysis
S Schneider*, JH Lee*, MW Mathis
Nature 617, 360–368, 2023
Iron-sequestering nanocompartments as multiplexed Electron Microscopy gene reporters
F Sigmund, S Pettinger, M Kube, F Schneider, M Schifferer, S Schneider, ...
ACS nano 13 (7), 8114-8123, 2019
Context-based Normalization of Histological Stains using Deep Convolutional Features
D Bug*, S Schneider*, A Grote, E Oswald, F Feuerhake, J Schüler, ...
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
NeuBtracker — imaging neurobehavioral dynamics in freely behaving fish
P Symvoulidis, A Lauri, A Stefanoiu, M Cappetta, S Schneider, H Jia, ...
Nature Methods 14 (11), 1079-1082, 2017
If your data distribution shifts, use self-learning
E Rusak*, S Schneider*, G Pachitariu, L Eck, PV Gehler, O Bringmann, ...
Transactions of Machine Learning Research (TMLR), 2021
Unsupervised Object Learning via Common Fate
M Tangemann, S Schneider, J von Kügelgen, F Locatello, P Gehler, ...
2nd conference on Causal Learning and Reasoning (CLeaR) 2023, 2021
SuperAnimal models pretrained for plug-and-play analysis of animal behavior
S Ye, A Filippova, J Lauer, M Vidal, S Schneider, T Qiu, A Mathis, ...
arXiv preprint arXiv:2203.07436, 2022
Motor control: Neural correlates of optimal feedback control theory
MW Mathis, S Schneider
Current Biology 31 (7), R356-R358, 2021
Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains
S Schneider, AS Ecker, JH Macke, M Bethge
NeurIPS 2018 Machine Learning Open Source Software Workshop, 2018
Out-of-distribution generalization of internal models is correlated with reward
KS Mann, S Schneider, A Chiappa, JH Lee, M Bethge, A Mathis, ...
Self-Supervision for Reinforcement Learning Workshop-ICLR 2021, 2021
RDumb: A simple approach that questions our progress in continual test-time adaptation
O Press, S Schneider, M Kümmerer, M Bethge
Advances in Neural Information Processing Systems 36, 2024
Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study
S Schneider, AS Ecker, JH Macke, M Bethge
NeurIPS 2018 Continual Learning Workshop, 2018
ImageNet-D: A new challenging robustness dataset inspired by domain adaptation
E Rusak*, S Schneider*, PV Gehler, O Bringmann, W Brendel, M Bethge
ICML 2022 Shift Happens Workshop, 2022
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