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14 Publications
2023 | Preprint | LibreCat-ID: 44512 |
Uhlemeyer, Svenja, Julian Lienen, Eyke Hüllermeier, and Hanno Gottschalk. “Detecting Novelties with Empty Classes.” ArXiv:2305.00983, 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 31880 |
Nguyen, Duc Anh, Ron Levie, Julian Lienen, Gitta Kutyniok, and Eyke Hüllermeier. “Memorization-Dilation: Modeling Neural Collapse Under Noise.” In International Conference on Learning Representations, ICLR, 2023.
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2023 | Preprint | LibreCat-ID: 45911 |
Lienen, Julian, and Eyke Hüllermeier. “Mitigating Label Noise through Data Ambiguation.” ArXiv:2305.13764, 2023.
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| arXiv
2022 | Conference Paper | LibreCat-ID: 34542
Campagner, Andrea, Julian Lienen, Eyke Hüllermeier, and Davide Ciucci. “Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.” In Lecture Notes in Computer Science, 13633:57–70. Springer, 2022.
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2022 | Preprint | LibreCat-ID: 31545 |
Demir, Caglar, Julian Lienen, and Axel-Cyrille Ngonga Ngomo. “Kronecker Decomposition for Knowledge Graph Embeddings.” ArXiv:2205.06560, 2022.
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