A. Mathis, P. Mamidanna, K. Cury, T. Abe, V. Murthy, M. Mathis, and M. Bethge
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.
Nature Neuroscience, 21(9), 1281-1289, 2018
Code, URL, DOI, BibTex
S. A. Cadena, M. A. Weis, L. A. Gatys, M. Bethge, and A. S. Ecker
Diverse feature visualizations reveal invariances in early layers of deep neural networks
ECCV, 2018
URL, BibTex
D. Kobak, M. Weis, and P. Berens
Sparse reduced-rank regression for exploratory visualization of single cell patch-seq recordings
bioRxiv, 2018
URL, BibTex
A. Böttcher, W. Brendel, B. Englitz, and M. Bethge
Trace your sources in large-scale data: one ring to find them all
arXiv, 2018
Code, URL, BibTex
W. Brendel, J. Rauber, A. Kurakin, N. Papernot, B. Veliqi, M. Salath\'e, S. P. Mohanty, and M. Bethge
Adversarial Vision Challenge
32nd Conference on Neural Information Processing Systems (NIPS 2018) Competition Track, 2018
Code, URL, BibTex
R. Geirhos, C. R. M. Temme, J. Rauber, H. H. Schütt, M. Bethge, and F. A. Wichmann
Generalisation in humans and deep neural networks
Advances in Neural Information Processing Systems 31, 2018
Code, URL, BibTex
L. Schott, J. Rauber, W. Brendel, and M. Bethge
Towards the first adversarially robust neural network model on MNIST
arXiv, 2018
URL, BibTex
C. Michaelis, M. Bethge, and A. S. Ecker
One-Shot Segmentation in Clutter
ICML, 2018
#segmentation, #one-shot learning, #clutter
URL, BibTex
W. Brendel, J. Rauber, and M. Bethge
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
International Conference on Learning Representations, 2018
#adversarial attacks, #adversarial examples, #adversarials
Code, URL, OpenReview, BibTex
G. H. Denfield, A. S. Ecker, T. J. Shinn, M. Bethge, and A. S. Tolias
Attentional fluctuations induce shared variability in macaque primary visual cortex
Nature Communications, 2018
#attention, #primary visual cortex, #noise correlations, #internal states
URL, DOI, BibTex
University of Tuebingen BCCN CIN MPI