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Thomas Goerttler
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NAPC: a neural algorithm for automated passenger counting in public transport on a privacy-friendly dataset
R Seidel, N Jahn, S Seo, T Goerttler, K Obermayer
IEEE Open Journal of Intelligent Transportation Systems 3, 33-44, 2021
22021
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning
T Goerttler, K Obermayer
Learning to Learn workshop at ICLR 2021, 2021
12021
Learning a Multimodal Prior Distribution for Generative Adversarial Nets
T Goerttler, M Kloft
Proceedings of the Conference on LWDA, 94-105, 2019
12019
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder
J Dippel, M Lenga, T Goerttler, K Obermayer, J Höhne
arXiv preprint arXiv:2207.14508, 2022
2022
Similarity of Pre-trained and Fine-tuned Representations
T Goerttler, K Obermayer
Workshop of Updatable Machine Learning at ICML 2022, 2022
2022
An Interactive Introduction to Model-Agnostic Meta-Learning
L Müller, M Ploner, T Goerttler, K Obermayer
Workshop on Visualization for AI Explainability at IEEE VIS, https …, 2021
2021
Berlin-APC: A Privacy-Friendly Dataset for Automated Passenger Counting in Public Transport
R Seidel, D Zarafeta, M Siebert, R Dastgheib Shirazi, S Seo, T Goerttler, ...
2021
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