Steffen Schneider

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 15

Top Topics

Covariate Shift

Speech Recognition

Requirements Analysis

Simulation Models

Top Venues

DLMIA/ML-CDS@MICCAI

Publications

Daniel Bernau, Jonas Robl, Philip-William Grassal, Steffen Schneider, Florian Kerschbaum
Comparing Local and Central Differential Privacy Using Membership Inference Attacks. DBSec (2021)
Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
Contrastive Learning Inverts the Data Generating Process. ICML (2021)
Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Adapting ImageNet-scale models to complex distribution shifts with self-learning. CoRR (2021)
Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
Pretraining boosts out-of-domain robustness for pose estimation. WACV (2021)
Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
Contrastive Learning Inverts the Data Generating Process. CoRR (2021)
Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
Unsupervised Object Learning via Common Fate. CoRR (2021)
Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Improving robustness against common corruptions by covariate shift adaptation. CoRR (2020)
Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Improving robustness against common corruptions by covariate shift adaptation. NeurIPS (2020)
Alexei Baevski, Steffen Schneider, Michael Auli
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. ICLR (2020)
Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. CoRR (2020)
Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli
wav2vec: Unsupervised Pre-Training for Speech Recognition. INTERSPEECH (2019)
Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli
wav2vec: Unsupervised Pre-training for Speech Recognition. CoRR (2019)
Alexei Baevski, Steffen Schneider, Michael Auli
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. CoRR (2019)
Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof
Context-based Normalization of Histological Stains using Deep Convolutional Features. CoRR (2017)
Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof
Context-Based Normalization of Histological Stains Using Deep Convolutional Features. DLMIA/ML-CDS@MICCAI (2017)
Katrina Petersen, Monika Büscher, Maike Kuhnert, Steffen Schneider, Jens Pottebaum
Designing with Users: Co-Design for Innovation in Emergency Technologies. ISCRAM (2015)
Jens Pottebaum, Robin Marterer, Steffen Schneider
Taxonomy of IT support for training emergency response & management. ISCRAM (2014)
Steffen Schneider, Therese Friberg, Tobias Becker, Rainer Koch
Prioritisation of Simulation Models for Ensuring Safety and Security in Underground Stations on the Basis of a Detailed Requirements Analysis. Future Security (2012)
Steffen Schneider, Jens Pottebaum, Tobias Becker, Rainer Koch
Räumungsszenarien bei Großveranstaltungen: Modellierung einer Datenbasis für Planung und Forschung. GI Jahrestagung (2) (2010)