no code implementations • 14 Mar 2021 • Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
The distilled models exhibit their strength against all white box attacks with an exception of C&W.
1 code implementation • 6 Feb 2021 • Nael Fasfous, Manoj-Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Walter Stechele
Convolutional neural networks (CNNs) offer an excellent solution for face recognition and classification of correct mask wearing and positioning.
no code implementations • 7 Jan 2021 • Manoj-Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen-Shankar Nagaraja, Walter Stechele
In this context, we present Learning to Prune Faster which details a multi-task, try-and-learn method, discretely learning redundant filters of the CNN and a continuous action of how long the layers have to be fine-tuned.
no code implementations • 27 Jul 2020 • Alexander Frickenstein, Manoj-Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen-Shankar Nagaraja, Christian Unger, Walter Stechele
Model compression techniques, such as pruning, are emphasized among other optimization methods for solving this problem.