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ORCIDNiklas Penzel
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2020 – today
- 2024
[c8]Niklas Penzel, Gideon Stein, Joachim Denzler:
Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change. VISIGRAPP (2): VISAPP 2024: 90-101- [c7]Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler:
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work out. VISIGRAPP (2): VISAPP 2024: 149-158 - [i4]Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler:
The Power of Properties: Uncovering the Influential Factors in Emotion Classification. CoRR abs/2404.07867 (2024) - [i3]Niklas Penzel, Gideon Stein, Joachim Denzler:
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change. CoRR abs/2404.12292 (2024) - [i2]Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler:
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out. CoRR abs/2404.12295 (2024) - [i1]Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler:
Facing Asymmetry - Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions. CoRR abs/2409.15927 (2024) - 2023
- [c6]Jan Blunk
, Niklas Penzel, Paul Bodesheim, Joachim Denzler:
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization. DAGM 2023: 394-408 - [c5]Niklas Penzel, Jana Kierdorf, Ribana Roscher, Joachim Denzler:
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances. ICCV (Workshops) 2023: 572-581 - [c4]Niklas Penzel, Joachim Denzler:
Interpreting Art by Leveraging Pre-Trained Models. MVA 2023: 1-6 - 2022
- [c3]Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler:
Investigating Neural Network Training on a Feature Level Using Conditional Independence. ECCV Workshops (6) 2022: 383-399 - 2021
- [c2]Christian Reimers, Niklas Penzel, Paul Bodesheim, Jakob Runge, Joachim Denzler:
Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification. CVPR Workshops 2021: 1810-1819 - [c1]Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler:
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning. GCPR 2021: 159-173
Coauthor Index
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