Steffen Schneider
Steffen Schneider
EPFL · IMPRS for Intelligent Systems · ELLIS
Verified email at bethgelab.org - Homepage
Title
Cited by
Cited by
Year
wav2vec: Unsupervised Pre-training for Speech Recognition
S Schneider, A Baevski, R Collobert, M Auli
Interspeech 2019, 2019
2222019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
A Baevski*, S Schneider*, M Auli
International Conference on Learning Representations (ICLR), 2019
1292019
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
272020
Pretraining boosts out-of-domain robustness for pose estimation
A Mathis*, T Biasi*, S Schneider, M Yüksekgönül, B Rogers, M Bethge, ...
arXiv preprint arXiv:1909.11229, 2019
252019
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
212017
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
192020
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
192017
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
142019
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
32021
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
32018
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
32018
Towards Desynchronization Detection in Biosignals
A Supratak, S Schneider, H Dong, L Li, Y Guo
NIPS Time Series Workshop 2017, 2017
32017
Adapting ImageNet-scale models to complex distribution shifts with self-learning
E Rusak*, S Schneider*, P Gehler, O Bringmann, W Brendel, M Bethge
arXiv preprint arXiv:2104.12928, 2021
2021
Motor control: Neural correlates of optimal feedback control theory
MW Mathis, S Schneider
Current Biology 31 (7), R356-R358, 2021
2021
Generalized Invariant Risk Minimization: relating adaptation and invariant representation learning
S Schneider*, S Krishna*, L Eck, W Brendel, MW Mathis, M Bethge
NeurIPS 2020 Preregistration Workshop, 2020
2020
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Articles 1–15