Steffen Schneider
Steffen Schneider
IMPRS for Intelligent Systems · EPFL · ELLIS
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
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
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
Context-based Normalization of Histological Stains using Deep Convolutional Features
D Bug, S Schneider, A Grote, E Oswald, F Feuerhake, J Schüler, D Merhof
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
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
Iron-sequestering nanocompartments as multiplexed Electron Microscopy gene reporters
F Sigmund, S Pettinger, M Kube, F Schneider, M Schifferer, S Schneider, ...
ACS nano, 2019
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
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
Towards Desynchronization Detection in Biosignals
A Supratak, S Schneider, H Dong, L Li, Y Guo
NIPS Time Series Workshop 2017, 2017
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
Contrastive Learning Inverts the Data Generating Process
RS Zimmermann, Y Sharma, S Schneider, M Bethge, W Brendel
arXiv preprint arXiv:2102.08850, 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
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