Get started
Author

Frederik Pahde

Multimodal Prototypical Networks for Few-shot Learning
2021 · Frederik Pahde, Mihai Puscas, et al. · IEEE Winter Conference on Applications of Computer Vision · 116
PDF
Self-Paced Adversarial Training for Multimodal Few-Shot Learning
2019 · Frederik Pahde, Oleksiy Ostapenko, et al. · IEEE Winter Conference on Applications of Computer Vision · 23
PDF
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
2023 · Frederik Pahde, Maximilian Dreyer, et al. · Lecture notes in computer science · 22
PDF
Discriminative Hallucination for Multi-Modal Few-Shot Learning
2018 · Frederik Pahde, Main Nabi, et al. · Proceedings - International Conference on Image Processing · 22
A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification
2024 · Clare A. Primiero, Brigid Betz-Stablein, et al. · Frontiers in Medicine · 17
PDF
Cross-modal Hallucination for Few-shot Fine-grained Recognition
2018 · Pahde, Frederik, Jähnichen, Patrick, et al. · arXiv (Cornell University) · 17
PDF
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
2024 · Maximilian Dreyer, Frederik Pahde, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 9
PDF
Low-Shot Learning From Imaginary 3D Model
2019 · Frederik Pahde, Mihai Puscas, et al. · IEEE Winter Conference on Applications of Computer Vision · 9
PDF
Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data
2025 · Frederik Pahde, Thomas Wiegand, et al. · Machine Learning · 6
PDF
Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection
2025 · Andrea M. Storås, Maximilian Dreyer, et al. · Scientific Reports · 5
PDF
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization
2025 · Rohan Reddy Mekala, Frederik Pahde, et al. · Lecture notes in computer science · 5
PDF
Optimizing Explanations by Network Canonization and Hyperparameter Search
2023 · Frederik Pahde, Galip Ümit Yolcu, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 5
PDF
Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data
2025 · Pahde, Frederik, Wiegand, Thomas, et al. · arXiv (Cornell University) · 4
PDF
Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification
2024 · Christian Tinauer, Anna Damulina, et al. · Communications in computer and information science · 4
PDF
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
2024 · Dilyara Bareeva, Maximilian Dreyer, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2
PDF
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
2022 · Pahde, Frederik, Dreyer, Maximilian, et al. · arXiv (Cornell University) · 2
PDF
Künstliche Intelligenz auf dem Prüfstand: Anforderungen, Qualitätskriterien und Prüfwerkzeuge für medizinische Anwendungen
2025 · Jackie Ma, Eva Weicken, et al. · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · 1
PDF
Low-Shot Learning from Imaginary 3D Model
2019 · Pahde, Frederik, Puscas, Mihai, et al. · arXiv (Cornell University) · 1
PDF
Safety Signals to Verify NetOps Agents with Action-Level Granularity
2026 · Labarta, Tobias, Pahde, Frederik, et al. · arXiv (Cornell University)
PDF
ICON decomposition: Multivariate concept auditing reveals shortcuts that neural networks rely on
2026 · Rane, Roshan Prakash, Simnacher, Marco, et al. · arXiv (Cornell University)
PDF
Interpretability-driven model debugging with the Reveal2Revise life cycle
2026 · Pahde, Frederik
Post-hoc Concept Disentanglement: From Correlated to Isolated Concept Representations
2025 · Eren Erogullari, Sebastian Lapuschkin, et al. · Communications in computer and information science
PDF
Towards Robust Skin Lesion Classification: Lesion Segmentation, Mole Collision Simulation and Hierarchical Learning
2025 · Hang Nguyen, Paul Fricker, et al. · Lecture notes in computer science
Explainable concept mappings underlying deep learning brain disease classification
2024 · Christian Tinauer, Maximilian Sackl, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Multi-Modal Few-Shot Learning: A Benchmark
2018 · Frederik Pahde, Moin Nabi, et al.
Works count: 30
Citation count: 270
H-index: 8
I10-index: 6
Year
Topic
Type