Rethinking Assumptions in Deep Anomaly Detection

Rethinking Assumptions in Deep Anomaly Detection

30 May 2020

Robert A. Vandermeulen

Billy Joe Franks

Klaus-Robert Muller

Papers citing "Rethinking Assumptions in Deep Anomaly Detection"

19 / 19 papers shown

Title
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs Jiazhen Chen Sichao Fu Zheng Ma M. Feng T. Wirjanto Qinmu Peng 43 0 0 25 Jan 2025
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring Eirini Cholopoulou D. Iakovidis AAML 28 0 0 20 Sep 2024
Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 Jun 2024
Autoencoder with Group-based Decoder and Multi-task Optimization for Anomalous Sound Detection Yifan Zhou Dongxing Xu Haoran Wei Yanhua Long 26 0 0 15 Nov 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 34 2 0 05 Jul 2023
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses Takato Yasuno Masahiro Okano Junichiro Fujii 24 0 0 05 Jun 2023
Wooden Sleeper Deterioration Detection for Rural Railway Prognostics Using Unsupervised Deeper FCDDs Takato Yasuno Masahiro Okano Junichiro Fujii 21 1 0 09 May 2023
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 32 66 0 18 Oct 2022
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure Ibuki Kuroyanagi Tomoki Hayashi K. Takeda T. Toda 22 12 0 13 Jun 2022
[Reproducibility Report] Explainable Deep One-Class Classification João P C Bertoldo Etienne Decencière 23 0 0 06 Jun 2022
Semi-supervised anomaly detection algorithm based on KL divergence (SAD-KL) C. Lee Kibae Lee 39 4 0 28 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 40 3 0 19 Mar 2022
Data refinement for fully unsupervised visual inspection using pre-trained networks Antoine Cordier Benjamin Missaoui Pierre Gutierrez 35 5 0 25 Feb 2022
Out-of-Distribution Detection Using Outlier Detection Methods Jan Diers Christian Pigorsch OODD 24 3 0 18 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 44 18 0 09 Aug 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 59 63 0 16 Jul 2021
Deep Random Projection Outlyingness for Unsupervised Anomaly Detection Martin Bauw Santiago Velasco-Forero Jesús Angulo C. Adnet O. Airiau 19 5 0 08 Jun 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 18 4 0 02 Jun 2021
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 28 4 0 05 Oct 2020