Search Results for author: Robin Hutmacher

Found 5 papers, 1 papers with code

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation

no code implementations28 Jun 2021 Chaithanya Kumar Mummadi, Robin Hutmacher, Kilian Rambach, Evgeny Levinkov, Thomas Brox, Jan Hendrik Metzen

This paper focuses on the fully test-time adaptation setting, where only unlabeled data from the target distribution is required.

Does enhanced shape bias improve neural network robustness to common corruptions?

no code implementations ICLR 2021 Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen

We conclude that the data augmentation caused by style-variation accounts for the improved corruption robustness and increased shape bias is only a byproduct.

Data Augmentation

Meta Adversarial Training against Universal Patches

1 code implementation27 Jan 2021 Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher

However, tailoring adversarial training to universal patches is computationally expensive since the optimal universal patch depends on the model weights which change during training.

Autonomous Driving Image Classification +1

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