| End-to-end image-based fashion recommendation S Elsayed, L Brinkmeyer, L Schmidt-Thieme Workshop on Recommender Systems in Fashion and Retail, 109-119, 2022 | 9 | 2022 |
| Chameleon: learning model initializations across tasks with different schemas L Brinkmeyer, RR Drumond, R Scholz, J Grabocka, L Schmidt-Thieme arXiv preprint arXiv:1909.13576, 2019 | 7 | 2019 |
| Few-shot forecasting of time-series with heterogeneous channels L Brinkmeyer, RR Drumond, J Burchert, L Schmidt-Thieme Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 5 | 2022 |
| Hidra: Head initialization across dynamic targets for robust architectures RR Drumond, L Brinkmeyer, J Grabocka, L Schmidt-Thieme Proceedings of the 2020 SIAM International Conference on Data Mining, 397-405, 2020 | 5 | 2020 |
| Few-shot human motion prediction for heterogeneous sensors RR Drumond, L Brinkmeyer, L Schmidt-Thieme Pacific-Asia Conference on Knowledge Discovery and Data Mining, 551-563, 2023 | 1 | 2023 |
| Deep Level Annotation for Painter Attribution on Greek Vases utilizing Object Detection M Kipke, L Brinkmeyer, S Bagayoko, L Schmidt-Thieme, M Langner Proceedings of the 4th ACM International workshop on Structuring and …, 2022 | 1 | 2022 |
| Few-shot human motion prediction for heterogeneous sensors R Rego Drumond, L Brinkmeyer, L Schmidt-Thieme arXiv e-prints, arXiv: 2212.11771, 2022 | | 2022 |
| HIDRA: Head Initialization across Dynamic targets for Robust Architectures R Rego Drumond, L Brinkmeyer, J Grabocka, L Schmidt-Thieme arXiv e-prints, arXiv: 1910.12749, 2019 | | 2019 |
| Latent Embedding Optimization for Few-Shot Segmentation IM Shaikat, J Deborah, O Niemann, G Sudhakaran, T Adeoti, ... | | |
