no code implementations • 26 Feb 2024 • David Hartmann, José Renato Laranjeira de Pereira, Chiara Streitbörger, Bettina Berendt
By considering the value of third-party audits and third-party data access in an audit ecosystem, we identify a regulatory gap in that the Artificial Intelligence Act does not provide access to data for researchers and civil society.
no code implementations • 30 Jun 2021 • Frauke Wilm, Michaela Benz, Volker Bruns, Serop Baghdadlian, Jakob Dexl, David Hartmann, Petr Kuritcyn, Martin Weidenfeller, Thomas Wittenberg, Susanne Merkel, Arndt Hartmann, Markus Eckstein, Carol I. Geppert
We propose a metric for identifying superpixels with an uncertain classification and evaluate two medical applications, namely tumor area and invasive margin estimation and tumor composition analysis.
no code implementations • NeurIPS 2021 • David Hartmann, Sebastian Brodehl, Michael Wand
We consider the aspect of learning rate (LR-)scheduling in neural networks, which often significantly affects achievable training time and generalization performance.
no code implementations • ICLR 2021 • Christian H.X. Ali Mehmeti-Göpel, David Hartmann, Michael Wand
In this paper, we apply harmonic distortion analysis to understand the effect of nonlinearities in the spectral domain.
1 code implementation • 3 Apr 2019 • David Hartmann, Michael Wand
By focusing computational attention using progressive sampling, we reduce inference costs on ImageNet further by a factor of up to 33% (before network pruning).