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Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text.

L. Ruff, Y. Zemlyanskiy, R. Vandermeulen, T. Schnake, and M. Kloft. ACL (1), page 4061-4071. Association for Computational Linguistics, (2019)

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Nina Lukashina University of Stuttgart

Lukas Reiner University of Stuttgart

Lukas Hauser University of Stuttgart

Lukas Münch University of Stuttgart

Lukas Schmelzeisen University of Stuttgart

Other publications of authors with the same name

Deep Semi-Supervised Anomaly Detection.L. Ruff, R. Vandermeulen, N. Görnitz, A. Binder, E. Müller, K. Müller, and M. Kloft. CoRR, (2019)Image Anomaly Detection with Generative Adversarial Networks.L. Deecke, R. Vandermeulen, L. Ruff, S. Mandt, and M. Kloft. ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 3-17. Springer, (2018)Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text.L. Ruff, Y. Zemlyanskiy, R. Vandermeulen, T. Schnake, and M. Kloft. ACL (1), page 4061-4071. Association for Computational Linguistics, (2019)Deep One-Class Classification.L. Ruff, N. Görnitz, L. Deecke, S. Siddiqui, R. Vandermeulen, A. Binder, E. Müller, and M. Kloft. ICML, volume 80 of Proceedings of Machine Learning Research, page 4390-4399. PMLR, (2018)