Niklas Penzel

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Uncertainty Sampling

Neural Network Training

Feature Selection

Top Venues

VISIGRAPP (2): VISAPP

Publications

Niklas Penzel, Gideon Stein, Joachim Denzler
Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change. VISIGRAPP (2): VISAPP (2024)
Niklas Penzel, Gideon Stein, Joachim Denzler
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change. CoRR (2024)
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)
Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out. CoRR (2024)
Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler
The Power of Properties: Uncovering the Influential Factors in Emotion Classification. CoRR (2024)
Niklas Penzel, Jana Kierdorf, Ribana Roscher, Joachim Denzler
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances. ICCV (Workshops) (2023)
Niklas Penzel, Joachim Denzler
Interpreting Art by Leveraging Pre-Trained Models. MVA (2023)
Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization. DAGM (2023)
Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler
Investigating Neural Network Training on a Feature Level Using Conditional Independence. ECCV Workshops (6) (2022)
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)
Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning. GCPR (2021)