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
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling M. Z. A. Mayaki M. Riveill 44 1 0 28 May 2023
Single-Model Attribution of Generative Models Through Final-Layer Inversion M. Laszkiewicz Jonas Ricker Johannes Lederer Asja Fischer 122 3 0 26 May 2023
Energy-based Detection of Adverse Weather Effects in LiDAR Data Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 51 18 0 25 May 2023
Beyond Individual Input for Deep Anomaly Detection on Tabular Data Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan 87 6 0 24 May 2023
Unsupervised Anomaly Detection with Rejection Lorenzo Perini Jesse Davis 81 7 0 22 May 2023
Reconstruction Error-based Anomaly Detection with Few Outlying Examples F. Angiulli Fabio Fassetti L. Ferragina UQCV AAML 98 5 0 17 May 2023
Unsupervised anomaly detection algorithms on real-world data: how many do we need? Roel Bouman Zaharah Bukhsh Tom Heskes 68 15 0 01 May 2023
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Helen Zhou AAML 49 1 0 21 Apr 2023
Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GAN Zahra Dehghanian Saeed Saravani M. Amirmazlaghani Mohammad Rahmati 54 1 0 16 Apr 2023
Few-shot Weakly-supervised Cybersecurity Anomaly Detection Rahul Kale V. Thing 62 9 0 15 Apr 2023
AGAD: Adversarial Generative Anomaly Detection Jian Shi Ni Zhang 103 0 0 09 Apr 2023
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection Tomoya Nishida Takashi Endo Yohei Kawaguchi 50 1 0 05 Apr 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 89 2 0 03 Apr 2023
RODD: Robust Outlier Detection in Data Cubes Lara Kuhlmann Daniel Wilmes Emmanuel Müller Markus Pauly Daniel Horn 14 0 0 14 Mar 2023
Learning Representation for Anomaly Detection of Vehicle Trajectories Ruochen Jiao Juyang Bai Xiangguo Liu Takami Sato Xiao-Fang Yuan Qi Alfred Chen Qiuhan Zhu AI4TS AAML 128 15 0 09 Mar 2023
Set Features for Fine-grained Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen AI4TS 97 15 0 23 Feb 2023
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting Zhenzhen Liu Jinjie Zhou Yufan Wang Kilian Q. Weinberger DiffM 109 41 0 20 Feb 2023
Zero-Shot Anomaly Detection via Batch Normalization Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 166 0 0 15 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 87 15 0 15 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 94 10 0 13 Feb 2023
Weakly Supervised Anomaly Detection: A Survey Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han Hailiang Huang Xiangnan He Philip S. Yu Yue Zhao 118 31 0 09 Feb 2023
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks Bowen Tian Qinliang Su Jianxing Yu 66 2 0 03 Feb 2023
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation João P C Bertoldo Santiago Velasco-Forero Jesús Angulo Etienne Decencière 48 0 0 23 Jan 2023
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks Niamh Belton Misgina Tsighe Hagos Aonghus Lawlor Kathleen M. Curran 92 16 0 17 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 76 2 0 11 Jan 2023
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection Chao Feng Ziyang Chen Andrew Owens 95 78 0 04 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Ziyi Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 127 67 0 05 Dec 2022
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch Chang Jo Kim Kihyuk Sohn Chun-Liang Li Sercan O. Arik Tomas Pfister 72 8 0 30 Nov 2022
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI Lingfeng Zhang N. Abdeen Jochen Lang 49 1 0 22 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 86 0 0 16 Nov 2022
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection Jun Zhan Chengkun Wu Canqun Yang Qiucheng Miao Xiandong Ma AI4TS 72 2 0 01 Nov 2022
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection Ali Garjani Atoosa Malemir Chegini Mohammadreza Salehi A. Tabibzadeh Parastoo Yousefi M. Razizadeh Moein Esghaei Maryam Esghaei M. Rohban 70 0 0 25 Oct 2022
N-pad : Neighboring Pixel-based Industrial Anomaly Detection Junkyu Jang Eugene Hwang Sung-Hyuk Park 96 24 0 17 Oct 2022
Active Learning from the Web Ryoma Sato 47 0 0 15 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 133 51 0 09 Oct 2022
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations He Cheng Depeng Xu Shuhan Yuan Xintao Wu AI4TS 59 3 0 09 Oct 2022
Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural Networks Stéphane Crépey Lpsm Lehdili Noureddine Nisrine Madhar Lpsm Maud Thomas Lpsm AI4TS 72 12 0 22 Sep 2022
Collaborative Anomaly Detection Ke Bai Aonan Zhang Zhizhong Li Ricardo Heano Chong-Jun Wang Lawrence Carin 65 1 0 20 Sep 2022
Deep Anomaly Detection and Search via Reinforcement Learning Chao Chen Dawei Wang Feng Mao Zongzhang Zhang Yang Yu 50 0 0 31 Aug 2022
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels Yue Zhao Guoqing Zheng Subhabrata Mukherjee R. McCann Ahmed Hassan Awadallah NoLa 82 25 0 24 Aug 2022
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success Jaemin Yoo Tianchen Zhao Leman Akoglu 143 8 0 16 Aug 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou Jiming Chen Haoyu Liu Shibo He Wenchao Meng AI4TS 113 23 0 03 Aug 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song Klara Nahrstedt 60 11 0 24 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring Nandita Bhaskhar D. Rubin Christopher Lee-Messer 46 5 0 22 Jul 2022
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs Simao Eduardo Kai Xu A. Nazábal Charles Sutton DRL 96 0 0 17 Jul 2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection Xincheng Yao Ruoqing Li Jing Zhang Jun Sun Chongyang Zhang 88 69 0 04 Jul 2022
Multivariate Time Series Anomaly Detection with Few Positive Samples Feng Xue Weizhong Yan AI4TS 54 3 0 02 Jul 2022
R2-AD2: Detecting Anomalies by Analysing the Raw Gradient Jan-Philipp Schulze Philip Sperl Ana Ruaductoiu Carla Sagebiel Konstantin Böttinger 46 2 0 21 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 125 314 0 19 Jun 2022
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure Ibuki Kuroyanagi Tomoki Hayashi K. Takeda Tomoki Toda 66 12 0 13 Jun 2022