v1v2 (latest)

Deep Semi-Supervised Anomaly Detection

6 June 2019

Lukas Ruff

Robert A. Vandermeulen

Papers citing "Deep Semi-Supervised Anomaly Detection"

50 / 267 papers shown

Title
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream Susik Yoon Youngjun Lee Jae-Gil Lee Byung Suk Lee 59 27 0 09 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 123 13 0 09 Jun 2022
Perturbation Learning Based Anomaly Detection Jinyu Cai Jicong Fan AAML 128 30 0 06 Jun 2022
Anomaly Detection with Test Time Augmentation and Consistency Evaluation Haowei He Jiaye Teng Yang Yuan 32 2 0 06 Jun 2022
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei Mohammadreza Salehi Sajjad Shahabi E. Gavves Cees G. M. Snoek Mohammad Sabokrou M. Rohban OOD 80 6 0 28 May 2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft UQCV 133 46 0 23 May 2022
PAC-Wrap: Semi-Supervised PAC Anomaly Detection Shuo Li Xiayan Ji Yan Sun O. Sokolsky Insup Lee 95 14 0 22 May 2022
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures Martin Bauw Santiago Velasco-Forero Jesús Angulo C. Adnet O. Airiau OODD 88 5 0 12 May 2022
TracInAD: Measuring Influence for Anomaly Detection Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan Fabrice Daniel TDI 103 7 0 03 May 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs Bowen Tian Qinliang Su Jian Yin 65 18 0 28 Apr 2022
Feature anomaly detection system (FADS) for intelligent manufacturing Anthony P. Garland Kevin M. Potter Matt Smith 25 3 0 21 Apr 2022
Anomaly Detection in Autonomous Driving: A Survey Daniel Bogdoll Maximilian Nitsche J. Marius Zöllner 82 122 0 17 Apr 2022
Semi-supervised anomaly detection algorithm based on KL divergence (SAD-KL) C. Lee Kibae Lee 75 5 0 28 Mar 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 96 117 0 28 Mar 2022
Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data F. Bagirov Dmitry Ivanov A. Shpilman 111 0 0 14 Mar 2022
Data-Efficient and Interpretable Tabular Anomaly Detection C. Chang Chang Jo Kim Sercan O. Arik Madeleine Udell Tomas Pfister 56 20 0 03 Mar 2022
Data refinement for fully unsupervised visual inspection using pre-trained networks Antoine Cordier Benjamin Missaoui Pierre Gutierrez 82 5 0 25 Feb 2022
Latent Outlier Exposure for Anomaly Detection with Contaminated Data Chen Qiu Aodong Li Marius Kloft Maja R. Rudolph Stephan Mandt 91 59 0 16 Feb 2022
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series Enyan Dai Jie Chen BDL AI4TS 74 70 0 16 Feb 2022
Trustworthy Anomaly Detection: A Survey Shuhan Yuan Xintao Wu FaML 151 8 0 15 Feb 2022
Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data Anthony Geglio Eisa Hedayati M. Tascillo Dyche Anderson Jonathan Barker T. Havens ViT UQCV 25 3 0 15 Feb 2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach Yu Zheng Ming Jin Yixin Liu Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen 76 13 0 11 Feb 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 83 92 0 07 Feb 2022
Weighted Isolation and Random Cut Forest Algorithms for Anomaly Detection Sijin Yeom Jae-Hun Jung 13 1 0 01 Feb 2022
Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection Hamza Bodor Thai V. Hoang Zonghua Zhang AI4TS 27 5 0 25 Jan 2022
Application of Deep Reinforcement Learning to Payment Fraud Siddharth Vimal Kanishka Kayathwal H. Wadhwa Gaurav Dhama AAML OffRL 63 8 0 08 Dec 2021
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning Lukas Bommes M. Hoffmann C. Buerhop‐Lutz Tobias Pickel J. Hauch Christoph J. Brabec Andreas Maier I. M. Peters 111 33 0 06 Dec 2021
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection Xingtai Gui Di Wu Yang Chang Shicai Fan 36 5 0 05 Dec 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 85 19 0 24 Nov 2021
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation Kaitai Zhang Bin Wang C.-C. Jay Kuo 51 21 0 29 Oct 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 74 6 0 28 Oct 2021
Multi-Class Anomaly Detection Suresh Singh Minwei Luo Yu Li 48 1 0 28 Oct 2021
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination Jongmin Yu Hyeontaek Oh Minkyung Kim Junsik Kim 49 10 0 28 Oct 2021
Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection Zeyu You Yichu Zhou Tao Yang Wei Fan 102 0 0 27 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 169 199 0 26 Oct 2021
TOD: GPU-accelerated Outlier Detection via Tensor Operations Yue Zhao George H. Chen Zhihao Jia AI4TS 106 8 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 324 956 0 21 Oct 2021
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data Yijun Lin Yao-Yi Chiang AI4TS 54 1 0 14 Oct 2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection Zhiwei Zhang Yu Dong Hanyu Peng Shifeng Chen 70 0 0 15 Sep 2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Yu Zheng Ming Jin Yixin Liu Lianhua Chi K. Phan Yi-Ping Phoebe Chen 119 133 0 23 Aug 2021
Explainable Deep Few-shot Anomaly Detection with Deviation Networks Guansong Pang Choubo Ding Chunhua Shen Anton Van Den Hengel 130 89 0 01 Aug 2021
Contrastive Predictive Coding for Anomaly Detection Puck de Haan Sindy Löwe UQCV SSL 108 19 0 16 Jul 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 103 66 0 16 Jul 2021
Anomaly Detection and Automated Labeling for Voter Registration File Changes S. Royston Bennett D. Greenberg Omeed Tavasoli Courtenay V. Cotton 30 2 0 16 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Hongzhi Zhang Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 135 571 0 14 Jun 2021
Inverting Adversarially Robust Networks for Image Synthesis Renan A. Rojas-Gomez Raymond A. Yeh Minh Do A. Nguyen 68 5 0 13 Jun 2021
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids Ibuki Kuroyanagi Tomoki Hayashi K. Takeda Tomoki Toda 56 8 0 11 Jun 2021
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection Chang Jo Kim Kihyuk Sohn Chun-Liang Li Sercan O. Arik Chen-Yu Lee Tomas Pfister 74 21 0 11 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 95 32 0 09 Jun 2021
Deep Random Projection Outlyingness for Unsupervised Anomaly Detection Martin Bauw Santiago Velasco-Forero Jesús Angulo C. Adnet O. Airiau 67 5 0 08 Jun 2021