FRAug: Tackling federated learning with Non-IID features via representation augmentation H Chen, A Frikha, D Krompass, J Gu, V Tresp Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 45 | 2023 |
Few-Shot One-Class Classification via Meta-Learning A Frikha, D Krompaß, HG Köpken, V Tresp AAAI 2021, arXiv preprint arXiv:2007.04146, 2020 | 44 | 2020 |
Towards Data-Free Domain Generalization A Frikha, H Chen, D Krompaß, T Runkler, V Tresp NeurIPS 2021 (DistShift Workshop) and ACML 2022, arXiv preprint arXiv:2110.04545, 2021 | 14 | 2021 |
ARCADe: A Rapid Continual Anomaly Detector A Frikha, D Krompaß, V Tresp ICPR 2020, arXiv preprint arXiv:2008.04042, 2020 | 8 | 2020 |
Cl-crossvqa: A continual learning benchmark for cross-domain visual question answering Y Zhang, H Chen, A Frikha, Y Yang, D Krompass, G Zhang, J Gu, V Tresp arXiv preprint arXiv:2211.10567, 2022 | 6 | 2022 |
COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption A Frikha, D Krompaß, V Tresp AAAI 2022 (AIBSD Workshop) and ICPR 2022, arXiv preprint arXiv:2109.04320, 2021 | 2 | 2021 |
Method and system for quality control in industrial manufacturing A Frikha, D Krompaß, HG Köpken US Patent App. 17/436,909, 2022 | 1 | 2022 |
Deep knowledge transfer for generalization across tasks and domains under data scarcity A Frikha lmu, 2022 | | 2022 |
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption A Frikha, D Krompaß, V Tresp 2022 26th International Conference on Pattern Recognition (ICPR), 1871-1878, 2022 | | 2022 |
Deep knowledge transfer for generalization across tasks and domains under data scarcity: on intersections of anomaly detection, few-shot learning, continual learning, domain … A Frikha Dissertation, München, Ludwig-Maximilians-Universität, 2022, 2022 | | 2022 |