1 citations · 1 across the 3 of their papers we have counts for
4 papers
Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks
Kathleen Anderson, Philipp Grüning, Erhardt Barth
While researchers continue to find new and improved network structures for CNNs, most of the newly invented architectures still rely on the traditional pattern of stacking convolut…
Distributional Loss for Robust Classification
Kathleen Anderson, Thomas Martinetz
This paper proposes a novel loss concept for supervised classification tasks. Rather than enforcing a direct mapping from each input sample to a single assigned label, we define an…
Nearest-Neighbor Density Estimation for Dependency Suppression
Kathleen Anderson, Thomas Martinetz
The ability to remove unwanted dependencies from data is crucial in various domains, including fairness, robust learning, and privacy protection. In this work, we propose an encode…
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson, Thomas Martinetz
We evaluate the information that can unintentionally leak into the low dimensional output of a neural network, by reconstructing an input image from a 40- or 32-element feature vec…