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14 Publications
2022 | Preprint | LibreCat-ID: 31546 | 
Lienen, Julian, et al. “Conformal Credal Self-Supervised Learning.” ArXiv:2205.15239, 2022.
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2021 | Conference Paper | LibreCat-ID: 27161
Lienen, Julian, and Eyke Hüllermeier. “Credal Self-Supervised Learning.” Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS, 2021.
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2021 | Conference Paper | LibreCat-ID: 27162
Lienen, Julian, et al. “Robust Regression for Monocular Depth Estimation.” 13th Asian Conference on Machine Learning, ACML, 2021.
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2021 | Journal Article | LibreCat-ID: 21636
Lienen, Julian, and Eyke Hüllermeier. “Instance Weighting through Data Imprecisiation.” International Journal of Approximate Reasoning, Elsevier, 2021.
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2021 | Conference Paper | LibreCat-ID: 21637 |
Lienen, Julian, and Eyke Hüllermeier. “From Label Smoothing to Label Relaxation.” Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI, vol. 35, no. 10, AAAI Press, 2021, pp. 8583–91.
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2021 | Conference Paper | LibreCat-ID: 22280
Lienen, Julian, et al. “Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2021, pp. 14595–604.
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2021 | Preprint | LibreCat-ID: 22509 |
Lienen, Julian, and Eyke Hüllermeier. “Credal Self-Supervised Learning.” ArXiv:2106.11853, 2021.
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2020 | Preprint | LibreCat-ID: 20211 |
Lienen, Julian, and Eyke Hüllermeier. “Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model.” ArXiv:2010.13118, 2020.
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2019 | Mastersthesis | LibreCat-ID: 16415
Lienen, Julian. Automated Feature Engineering on Time Series Data. 2019.
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