Publications by Steffen Schneider


R. S. Zimmermann, Y. Sharma, S. Schneider, M. Bethge, and W. Brendel
Contrastive Learning Inverts the Data Generating Process
arXiv, 2021
Code, URL, BibTex
S. Schneider, E. Rusak, L. Eck, O. Bringmann, W. Brendel, and M. Bethge
Removing covariate shift improves robustness against common corruptions
arXiv, 2020
#domain adaptation, #covariate shift, #robustness, #deep learning, #computer vision, #benchmarking
Code, URL, Workshop Paper, BibTex

Journal Articles

F. Sigmund, S. Pettinger, M. Kube, F. Schneider, M. Schifferer, M. Aichler, S. Schneider, A. Walch, et al.
Iron-sequestering nanocompartments as multiplexed Electron Microscopy gene reporters
ACS Nano, 2019
URL, DOI, BibTex
P. Symvoulidis, A. Lauri, A. Stefanoiu, M. Cappetta, S. Schneider, H. Jia, A. Stelzl, M. Koch, et al.
NeuBtracker - imaging neurobehavioral dynamics in freely behaving fish
Nature Methods, 14(11), 2017
#calcium imaging, #zebrafish, #behavioural tracking, #neuroscience
Code, URL, DOI, Homepage, BibTex

Conference Papers

A. Baevski, S. Schneider, and M. Auli
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
International Conference on Learning Representations (ICLR), 2020
#self-supervised learning, #vector quantization, #speech recognition, #nlp
Code, URL, BibTex
S. Schneider, A. Baevski, R. Collobert, and M. Auli
wav2vec: Unsupervised Pre-training for Speech Recognition
Proc. Interspeech, 2019
#self-supervised learning, #speech recognition
Code, URL, DOI, BibTex
S. Schneider, A. S. Ecker, J. H. Macke, and M. Bethge
Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study
NeurIPS Continual Learning Workshop, 2018
Code, URL, BibTex
S. Schneider, A. S. Ecker, J. H. Macke, and M. Bethge
Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains
NeurIPS Machine Learning Open Source Software Workshop, 2018
#domain adaptation
Code, URL, PDF, BibTex
A. Supratak, S. Schneider, H. Dong, L. Li, and Y. Guo
Towards Desynchronization Detection in Biosignals
NIPS Time Series Workshop, 2017
#generative adversarial networks, #domain adaptation, #time series, #eeg
URL, BibTex

Book Chapters

D. Bug, S. Schneider, A. Grote, E. Oswald, F. Feuerhake, J. Schüler, and D. Merhof
Context-based Normalization of Histological Stains using Deep Convolutional Features
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Springer, Cham, 2017
#color normalization, #digital pathology, #deep learning, #medical imaging, #domain adaptation
Code, URL, DOI, Dataset, Homepage, BibTex
University of Tuebingen BCCN CIN MPI