Steffen Schneider

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	All	Since 2016
Citations	264	264
h-index	6	6
i10-index	5	5

220

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165

201720182019202020212 12 26 220 4

Co-authors

Alexei BaevskiFacebook AI ResearchVerified email at fb.com
Michael AuliFacebook AI ResearchVerified email at fb.com
Matthias BethgeTübingen University & Amazon ScholarVerified email at bethgelab.org
Ronan CollobertFacebook AI ResearchVerified email at collobert.com
Mackenzie W. MathisSwiss Federal Institute of Technology in Lausanne (EPFL)Verified email at epfl.ch
Gil Gregor WestmeyerTechnische Universitaet MuenchenVerified email at tum.de
Alexander MathisEPFL (Ecole Polytechnique Fédérale de Lausanne / Swiss Federal Institute of Technology)Verified email at epfl.ch
Wieland BrendelPostdoctoral Fellow, University of TübingenVerified email at uni-tuebingen.de
Jakob MackeMachine Learning in Science, Tübingen UniversityVerified email at uni-tuebingen.de
Alexander S. EckerUniversity of Göttingen, GermanyVerified email at cs.uni-goettingen.de
Oliver BringmannProfessor of Embedded Systems, Eberhard Karls Universität Tübingen, GermanyVerified email at uni-tuebingen.de
Yike GuoProfessor of Computing Science , Imperial College LondonVerified email at doc.ic.ac.uk

Steffen Schneider

IMPRS for Intelligent Systems · EPFL · ELLIS

Verified email at bethgelab.org - Homepage

Machine Learning Deep Learning Domain Adaptation Computational Neuroscience


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wav2vec: Unsupervised Pre-training for Speech Recognition S Schneider, A Baevski, R Collobert, M Auli Interspeech 2019, 2019	127	2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations A Baevski, S Schneider, M Auli International Conference on Learning Representations (ICLR), 2019	66	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	20	2017
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	16	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	13	2019
Iron-sequestering nanocompartments as multiplexed Electron Microscopy gene reporters F Sigmund, S Pettinger, M Kube, F Schneider, M Schifferer, S Schneider, ... ACS nano, 2019	7	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	5	2020
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	4	2020
Towards Desynchronization Detection in Biosignals A Supratak, S Schneider, H Dong, L Li, Y Guo NIPS Time Series Workshop 2017, 2017	3	2017
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	2	2018
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	1	2018
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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