Julian Lienen - RankMe

19 papers A* 5C 1Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Mitigating Label Noise through Data Ambiguation. AAAI Julian Lienen, Eyke Hüllermeier
2024	—	`conf`	Unsupervised Class Incremental Learning using Empty Classes. BMVC Workshops Svenja Uhlemeyer, Julian Lienen, Youssef Shoeb, Eyke Hüllermeier, Hanno Gottschalk
2023	—	`conf`	Conformal Credal Self-Supervised Learning. COPA Julian Lienen, Caglar Demir, Eyke Hüllermeier
2023	J	`jnl`	Detecting Novelties with Empty Classes. CoRR Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier, Hanno Gottschalk
2023	A*	`conf`	Memorization-Dilation: Modeling Neural Collapse Under Noise. ICLR Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok
2023	J	`jnl`	Mitigating Label Noise through Data Ambiguation. CoRR Julian Lienen, Eyke Hüllermeier
2023	—	`—`	Robustifying machine learning through weakening supervision. Julian Lienen
2022	J	`jnl`	Conformal Credal Self-Supervised Learning. CoRR Julian Lienen, Caglar Demir, Eyke Hüllermeier
2022	—	`conf`	Kronecker Decomposition for Knowledge Graph Embeddings. HT Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo
2022	J	`jnl`	Kronecker Decomposition for Knowledge Graph Embeddings. CoRR Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo
2022	J	`jnl`	Memorization-Dilation: Modeling Neural Collapse Under Noise. CoRR Duc Anh Nguyen, Ron Levie, Julian Lienen, Gitta Kutyniok, Eyke Hüllermeier
2022	—	`conf`	Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. IJCRS Andrea Campagner, Julian Lienen, Eyke Hüllermeier, Davide Ciucci
2021	A*	`conf`	Credal Self-Supervised Learning. NeurIPS Julian Lienen, Eyke Hüllermeier
2021	J	`jnl`	Credal Self-Supervised Learning. CoRR Julian Lienen, Eyke Hüllermeier
2021	A*	`conf`	From Label Smoothing to Label Relaxation. AAAI Julian Lienen, Eyke Hüllermeier
2021	J	`jnl`	Instance weighting through data imprecisiation. Int. J. Approx. Reason. Julian Lienen, Eyke Hüllermeier
2021	A*	`conf`	Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model. CVPR Julian Lienen, Eyke Hüllermeier, Ralph Ewerth, Nils Nommensen
2021	C	`conf`	Robust Regression for Monocular Depth Estimation. ACML Julian Lienen, Nils Nommensen, Ralph Ewerth, Eyke Hüllermeier
2020	J	`jnl`	Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model. CoRR Julian Lienen, Eyke Hüllermeier