Frederik Pahde

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Top Venues

Publications

Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space. AAAI (2024)
Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression. CoRR (2024)
Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification. CoRR (2024)
Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space. CoRR (2023)
Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
Optimizing Explanations by Network Canonization and Hyperparameter Search. CVPR Workshops (2023)
Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. CoRR (2023)
Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. MICCAI (2) (2023)
Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
Optimizing Explanations by Network Canonization and Hyperparameter Search. CoRR (2022)
Frederik Pahde, Leander Weber, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging. CoRR (2022)
Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi
Multimodal Prototypical Networks for Few-shot Learning. WACV (2021)
Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi
Multimodal Prototypical Networks for Few-shot Learning. CoRR (2020)
Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi
Low-Shot Learning From Imaginary 3D Model. WACV (2019)
Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi
Self-Paced Adversarial Training for Multimodal Few-Shot Learning. WACV (2019)
Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi
Low-Shot Learning from Imaginary 3D Model. CoRR (2019)
Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi
Self Paced Adversarial Training for Multimodal Few-shot Learning. CoRR (2018)
Frederik Pahde, Moin Nabi, Tassilo Klein, Patrick Jähnichen
Discriminative Hallucination for Multi-Modal Few-Shot Learning. ICIP (2018)
Frederik Pahde, Patrick Jähnichen, Tassilo Klein, Moin Nabi
Cross-modal Hallucination for Few-shot Fine-grained Recognition. CoRR (2018)