From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ... IEEE transactions on medical imaging 38 (2), 550-560, 2018 | 440 | 2018 |
Phoneme Boundary Detection using Deep Bidirectional LSTMs J Franke, M Mueller, F Hamlaoui, S Stueker, A Waibel Speech Communication; 12. ITG Symposium; Proceedings of, 1-5, 2016 | 36 | 2016 |
Sample-Efficient Automated Deep Reinforcement Learning JKH Franke, G Köhler, A Biedenkapp, F Hutter Proceedings of Conference on Learning Representations. ICLR 2021., 2020 | 31 | 2020 |
Robust and scalable differentiable neural computer for question answering J Franke, J Niehues, A Waibel Proceedings of the Workshop on Machine Reading for Question Answering. ACL 2018., 2018 | 26 | 2018 |
Towards phoneme inventory discovery for documentation of unwritten languages M Müller, J Franke, A Waibel, S Stüker Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017 | 16 | 2017 |
Improving phoneme set discovery for documenting unwritten languages M Müller, J Franke, S Stüker, A Waibe Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung …, 2017 | 14 | 2017 |
Why do machine learning practitioners still use manual tuning? A qualitative study N Hasebrook, F Morsbach, N Kannengießer, J Franke, F Hutter, ... arXiv preprint arXiv:2203.01717, 2022 | 8 | 2022 |
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control JKH Franke, G Köhler, N Awad, F Hutter Workshop on Meta-Learning. NeurIPS 2019., 2019 | 8 | 2019 |
Hyperparameter Transfer Across Developer Adjustments D Stoll, JKH Franke, D Wagner, S Selg, F Hutter NeurIPS 4th Workshop on Meta-Learning (2020), 2020 | 6 | 2020 |
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design JKH Franke, F Runge, F Hutter 36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 2 | 2022 |
Scalable Deep Learning for RNA Secondary Structure Prediction JKH Franke, F Runge, F Hutter The 2023 ICML Workshop on Computational Biology, ICML 2023, 2023 | 1 | 2023 |
New Horizons in Parameter Regularization: A Constraint Approach JKH Franke, M Hefenbrock, G Koehler, F Hutter arXiv preprint arXiv:2311.09058, 2023 | | 2023 |
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement G Koehler, T Wald, C Ulrich, D Zimmerer, PF Jaeger, JKH Franke, S Kohl, ... arXiv preprint arXiv:2309.07513, 2023 | | 2023 |
Towards Automated Design of Riboswitches F Runge, JKH Franke, F Hutter The 2023 ICML Workshop on Computational Biology, ICML 2023, 2023 | | 2023 |
Analysis and Advancement of Differentiable Neural Computers for Question Answering J Franke Karlsruhe Institute of Technology (KIT), 2018 | | 2018 |
Knowing what you don't know: Uncertainty-boosted ensemble for the classification of breast cancer stages F Both, J Franke, S Kohl, K Dierenbach https://www.researchgate.net/profile/Kai_Dierenbach/publication …, 2017 | | 2017 |