6 citations · 6 across the 3 of their papers we have counts for
4 papers
Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
Marlon Becker, Jonas Konrad, Luis Garcia Rodriguez +1
We introduce a straightforward yet effective method to empirically study memorization in deep neural networks for classification tasks. Our approach augments each training sample w…
Learned Random Label Predictions as a Neural Network Complexity Metric
Marlon Becker, Benjamin Risse
We empirically investigate the impact of learning randomly generated labels in parallel to class labels in supervised learning on memorization, model complexity, and generalization…
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead
Marlon Becker, Frederick Altrock, Benjamin Risse
The recently proposed optimization algorithm for deep neural networks Sharpness Aware Minimization (SAM) suggests perturbing parameters before gradient calculation by a gradient as…
Inverse Design of Nanophotonic Devices using Dynamic Binarization
Marco Butz, Adrian S. Abazi, Rene Ross +2
The complexity of applications addressed with photonic integrated circuits is steadily rising and poses increasingly challenging demands on individual component functionality, perf…