Search Results for author: David Hartmann

Found 5 papers, 1 papers with code

Addressing the Regulatory Gap: Moving Towards an EU AI Audit Ecosystem Beyond the AIA by Including Civil Society

no code implementations26 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.

Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification

no code implementations30 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.

Segmentation Semantic Segmentation +2

ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature

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.

Image Classification Scheduling +1

Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks

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.

Progressive Stochastic Binarization of Deep Networks

1 code implementation3 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).

Binarization Network Pruning +1

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