| The power of ensembles for active learning in image classification WH Beluch, T Genewein, A Nürnberger, JM Köhler Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 811 | 2018 |
| Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images WM Gondal, JM Köhler, R Grzeszick, GA Fink, M Hirsch 2017 IEEE international conference on image processing (ICIP), 2069-2073, 2017 | 200 | 2017 |
| Interpretable and fine-grained visual explanations for convolutional neural networks J Wagner, JM Kohler, T Gindele, L Hetzel, JT Wiedemer, S Behnke Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 170 | 2019 |
| Variational network quantization J Achterhold, JM Koehler, A Schmeink, T Genewein International conference on learning representations, 2018 | 127 | 2018 |
| Uncertainty Based Detection and Relabeling of Noisy Image Labels. JM Köhler, M Autenrieth, WH Beluch CVPR workshops, 33-37, 2019 | 34 | 2019 |
| Bounded flexibility in days‐on and days‐off scheduling JO Brunner, JF Bard, JM Köhler Naval Research Logistics (NRL) 60 (8), 678-701, 2013 | 24 | 2013 |
| The streaming rollout of deep networks-towards fully model-parallel execution V Fischer, J Köhler, T Pfeil Advances in Neural Information Processing Systems 31, 2018 | 16 | 2018 |
| Omega-3 index and obstructive sleep apnea: a cross-sectional study J Tittus, MT Huber, K Storck, A Köhler, JM Köhler, T von Arnim, ... Journal of Clinical Sleep Medicine 13 (10), 1131-1136, 2017 | 8 | 2017 |
| Method, device and computer program for creating a deep neural network J Achterhold, JM Koehler, T Genewein US Patent 11,531,888, 2022 | 5 | 2022 |
| Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data L Hennicke, CM Adriano, H Giese, JM Koehler, L Schott arXiv preprint arXiv:2405.03243, 2024 | 1 | 2024 |
| Challenging Common Assumptions in Multi-task Learning C Elich, L Kirchdorfer, JM Köhler, L Schott arXiv preprint arXiv:2311.04698, 2023 | 1 | 2023 |
| Processing of learning data sets including noisy labels for classifiers WH Beluch, JM Koehler, M Autenrieth US Patent App. 17/233,410, 2021 | 1 | 2021 |
| Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning L Kirchdorfer, C Elich, S Kutsche, H Stuckenschmidt, L Schott, JM Köhler arXiv preprint arXiv:2408.07985, 2024 | | 2024 |
| Method and device for ascertaining an explanation map J Wagner, T Gindele, JM Koehler, JT Wiedemer, L Hetzel US Patent 11,783,190, 2023 | | 2023 |
| Method and device for ascertaining an explanation map J Wagner, T Gindele, JM Koehler, JT Wiedemer, L Hetzel US Patent 11,645,828, 2023 | | 2023 |
| Discretization of numerical values with adaptive accuracy JM Koehler, RM Koehler US Patent 11,488,006, 2022 | | 2022 |
| Operation of trainable modules, including monitoring as to whether the range of application of the training is abandoned JM Koehler, M Autenrieth, WH Beluch US Patent App. 17/611,088, 2022 | | 2022 |
| Training trainable modules using learning data, the labels of which are subject to noise JM Koehler, M Autenrieth, WH Beluch US Patent App. 17/420,357, 2022 | | 2022 |
| Method and device for ascertaining a gradient of a data-based function model M Hanselmann, JM Koehler, H Markert US Patent 10,402,509, 2019 | | 2019 |
| Flexible days off scheduling: A general approach J Brunner, JM Köhler International Annual Scientific Conference of the German Operations Research …, 2011 | | 2011 |
Tim GeneweinDeepMindVerified email at google.com
