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ORCIDJulian Lienen
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2020 – today
- 2024
[c9]Julian Lienen, Eyke Hüllermeier:
Mitigating Label Noise through Data Ambiguation. AAAI 2024: 13799-13807- 2023
- [b1]Julian Lienen:
Robustifying machine learning through weakening supervision. University of Paderborn, Germany, 2023 - [c8]Julian Lienen, Caglar Demir, Eyke Hüllermeier:
Conformal Credal Self-Supervised Learning. COPA 2023: 214-233 - [c7]Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok:
Memorization-Dilation: Modeling Neural Collapse Under Noise. ICLR 2023 - [i7]Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier, Hanno Gottschalk:
Detecting Novelties with Empty Classes. CoRR abs/2305.00983 (2023) - [i6]Julian Lienen, Eyke Hüllermeier:
Mitigating Label Noise through Data Ambiguation. CoRR abs/2305.13764 (2023) - 2022
- [c6]Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo
:
Kronecker Decomposition for Knowledge Graph Embeddings. HT 2022: 1-10 - [c5]Andrea Campagner, Julian Lienen, Eyke Hüllermeier, Davide Ciucci:
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. IJCRS 2022: 57-70 - [i5]Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo:
Kronecker Decomposition for Knowledge Graph Embeddings. CoRR abs/2205.06560 (2022) - [i4]Julian Lienen, Caglar Demir, Eyke Hüllermeier:
Conformal Credal Self-Supervised Learning. CoRR abs/2205.15239 (2022) - [i3]Duc Anh Nguyen, Ron Levie, Julian Lienen, Gitta Kutyniok, Eyke Hüllermeier:
Memorization-Dilation: Modeling Neural Collapse Under Noise. CoRR abs/2206.05530 (2022) - 2021
- [j1]Julian Lienen, Eyke Hüllermeier:
Instance weighting through data imprecisiation. Int. J. Approx. Reason. 134: 1-14 (2021) - [c4]Julian Lienen, Eyke Hüllermeier:
From Label Smoothing to Label Relaxation. AAAI 2021: 8583-8591 - [c3]Julian Lienen, Nils Nommensen, Ralph Ewerth, Eyke Hüllermeier:
Robust Regression for Monocular Depth Estimation. ACML 2021: 1001-1016 - [c2]Julian Lienen, Eyke Hüllermeier, Ralph Ewerth, Nils Nommensen:
Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model. CVPR 2021: 14595-14604 - [c1]Julian Lienen, Eyke Hüllermeier:
Credal Self-Supervised Learning. NeurIPS 2021: 14370-14382 - [i2]Julian Lienen, Eyke Hüllermeier:
Credal Self-Supervised Learning. CoRR abs/2106.11853 (2021) - 2020
- [i1]Julian Lienen, Eyke Hüllermeier:
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model. CoRR abs/2010.13118 (2020)
Coauthor Index
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