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researcher

Philipp Oberdiek

4 papers hereh-index 4135 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedUQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs

7 citations · 9 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2018★ 2 cited

Classification Uncertainty of Deep Neural Networks Based on Gradient Information

Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk

We study the quantification of uncertainty of Convolutional Neural Networks (CNNs) based on gradient metrics. Unlike the classical softmax entropy, such metrics gather information…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.