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2020 – today
- 2023
[i10]Miriam Hägele, Johannes Eschrich, Lukas Ruff, Maximilian Alber, Simon Schallenberg, Adrien Guillot, Christoph Roderburg, Frank Tacke, Frederick Klauschen:
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides. CoRR abs/2302.01813 (2023)- 2022
- [i9]Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft:
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. CoRR abs/2205.11474 (2022) - 2021
- [b1]Lukas Ruff:
Deep one-class learning: a deep learning approach to anomaly detection. Technical University of Berlin, Germany, 2021 - [j1]Lukas Ruff
, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller:
A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109(5): 756-795 (2021) - [c7]Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller:
Explainable Deep One-Class Classification. ICLR 2021 - [c6]Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen:
Transfer-Based Semantic Anomaly Detection. ICML 2021: 2546-2558 - 2020
- [c5]Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft:
Deep Semi-Supervised Anomaly Detection. ICLR 2020 - [c4]Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder:
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. IJCNN 2020: 1-9 - [i8]Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder:
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. CoRR abs/2001.08873 (2020) - [i7]Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft:
Rethinking Assumptions in Deep Anomaly Detection. CoRR abs/2006.00339 (2020) - [i6]Jacob R. Kauffmann, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller:
The Clever Hans Effect in Anomaly Detection. CoRR abs/2006.10609 (2020) - [i5]Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller:
Explainable Deep One-Class Classification. CoRR abs/2007.01760 (2020) - [i4]Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller:
A Unifying Review of Deep and Shallow Anomaly Detection. CoRR abs/2009.11732 (2020) - [i3]Michael Joswig, Marek Kaluba, Lukas Ruff:
Geometric Disentanglement by Random Convex Polytopes. CoRR abs/2009.13987 (2020) - [i2]Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen:
Deep Anomaly Detection by Residual Adaptation. CoRR abs/2010.02310 (2020)
2010 – 2019
- 2019
- [c3]Lukas Ruff, Yury Zemlyanskiy, Robert A. Vandermeulen, Thomas Schnake, Marius Kloft:
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text. ACL (1) 2019: 4061-4071 - [i1]Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft:
Deep Semi-Supervised Anomaly Detection. CoRR abs/1906.02694 (2019) - 2018
- [c2]Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft:
Deep One-Class Classification. ICML 2018: 4390-4399 - [c1]Lucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft:
Image Anomaly Detection with Generative Adversarial Networks. ECML/PKDD (1) 2018: 3-17
Coauthor Index
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last updated on 2023-02-11 23:57 CET by the dblp team
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