Deep one-class classification L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ... International conference on machine learning, 4393-4402, 2018 | 2438 | 2018 |
Image anomaly detection with generative adversarial networks L Deecke, R Vandermeulen, L Ruff, S Mandt, M Kloft Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 292 | 2019 |
Transfer-based semantic anomaly detection L Deecke, L Ruff, RA Vandermeulen, H Bilen International Conference on Machine Learning, 2546-2558, 2021 | 41 | 2021 |
Mode normalization L Deecke, I Murray, H Bilen International conference on learning representations, 2019 | 41 | 2019 |
Intermittent treatment of severe influenza L Deecke, HM Dobrovolny Journal of Theoretical Biology 442, 129-138, 2018 | 11 | 2018 |
Visual representation learning over latent domains L Deecke, T Hospedales, H Bilen International Conference on Learning Representations, 2022 | 10 | 2022 |
Deep anomaly detection by residual adaptation L Deecke, L Ruff, RA Vandermeulen, H Bilen arXiv preprint arXiv:2010.02310, 2020 | 8 | 2020 |
Latent domain learning with dynamic residual adapters L Deecke, T Hospedales, H Bilen arXiv preprint arXiv:2006.00996, 2020 | 5 | 2020 |
Fitness landscapes and evolutionary accessibility: The effect of downhill steps LAC Deecke Universität zu Köln, 2015 | 2 | 2015 |
Image classification over unknown and anomalous domains L Deecke The University of Edinburgh, 2022 | | 2022 |
35TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING, ICML 2018 T Rashid, CS De Witt, G Farquhar, J Foerster, S Whiteson, M Samvelyan, ... | | 2018 |
Preventing drug resistance in severe influenza H Dobrovolny, L Deecke APS March Meeting Abstracts 2015, P1. 117, 2015 | | 2015 |
Reducing Implicit Bias in Latent Domain Learning L Deecke, T Hospedales, H Bilen | | |