Deep Semi-Supervised Anomaly Detection

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Deep Semi-Supervised Anomaly Detection

6 June 2019

Robert A. Vandermeulen

Alexander Binder

Emmanuel Müller

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Papers citing "Deep Semi-Supervised Anomaly Detection"

17 / 267 papers shown

Title
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features R. Schirrmeister Yuxuan Zhou T. Ball Dan Zhang UQCV 127 88 0 18 Jun 2020
The Clever Hans Effect in Anomaly Detection Jacob R. Kauffmann Lukas Ruff G. Montavon Klaus-Robert Muller AAML 85 32 0 18 Jun 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato Takeshi Teshima 98 36 0 12 Jun 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 129 91 0 30 May 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 175 241 0 28 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 105 17 0 05 May 2020
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images Jevgenij Gamper Brandon Chan Yee Wah Tsang David R. J. Snead Nasir M. Rajpoot VLM OOD 40 6 0 06 Mar 2020
$$\text{A}^3$: Activation Anomaly Analysis$ $\text{A}^3$ : Activation Anomaly Analysis Philip Sperl Jan-Philipp Schulze Konstantin Böttinger 48 6 0 03 Mar 2020
Discriminative Multi-level Reconstruction under Compact Latent Space for One-Class Novelty Detection Jaewoo Park Yoon Gyo Jung Andrew Beng Jin Teoh 44 4 0 03 Mar 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 109 167 0 28 Feb 2020
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 58 39 0 27 Feb 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification Penny Chong Lukas Ruff Marius Kloft Alexander Binder 130 36 0 24 Jan 2020
NFAD: Fixing anomaly detection using normalizing flows Artem Sergeevich Ryzhikov M. Borisyak Andrey Ustyuzhanin D. Derkach 57 12 0 19 Dec 2019
Novelty Detection Via Blurring Sung-Ik Choi Sae-Young Chung UQCV 78 36 0 27 Nov 2019
Deep Variational Semi-Supervised Novelty Detection Tal Daniel Thanard Kurutach Aviv Tamar DRL UQCV 109 21 0 12 Nov 2019
Deep Weakly-supervised Anomaly Detection Guansong Pang Chunhua Shen Huidong Jin Anton van den Hengel 89 94 0 30 Oct 2019
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning S. Das M. R. Islam Nitthilan Kanappan Jayakodi J. Doppa 106 19 0 23 Jan 2019