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ADBench: Anomaly Detection Benchmark

19 June 2022

Papers citing "ADBench: Anomaly Detection Benchmark"

50 / 103 papers shown

Title
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Tobias Brieger Fin Heuer Lennart Asbach A. Rügamer Felix Ott 202 8 0 31 Mar 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity Nesryne Mejri Enjie Ghorbel Anis Kacem Pavel Chernakov Niki Maria Foteinopoulou Djamila Aouada 113 0 0 28 Feb 2025
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Jihan Ghanim M. Awad AI4TS 117 2 0 03 Jan 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation Chengjie Wang Xi Jiang Bin-Bin Gao Zhenye Gan Yang Liu Feng Zheng Lizhuang Ma UQCV 132 2 0 30 Dec 2024
Toward Unsupervised Outlier Model Selection Yue Zhao Sean Zhang Leman Akoglu OODD 64 18 0 03 Nov 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang Pengyun Wang Dejian Zou Zitang Zhou Kun Ding ... Kaiyang Zhou Wayne Zhang Dan Hendrycks Yixuan Li Ziwei Liu OODD 91 244 0 13 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 416 1,411 0 02 Sep 2022
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels Yue Zhao Guoqing Zheng Subhabrata Mukherjee R. McCann Ahmed Hassan Awadallah NoLa 60 25 0 24 Aug 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 91 369 0 18 Jul 2022
Sparx: Distributed Outlier Detection at Scale Sean Zhang V. Ursekar Leman Akoglu 52 7 0 02 Jun 2022
Benchmarking Unsupervised Anomaly Detection and Localization Ye Zheng Xiang Wang Yu-Hang Qi Wei Li Liwei Wu 66 14 0 30 May 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs Bowen Tian Qinliang Su Jian Yin 60 18 0 28 Apr 2022
PyGOD: A Python Library for Graph Outlier Detection Kay Liu Yingtong Dou Xueying Ding Xiyang Hu Ruitong Zhang Hao Peng Kai Shu Philip S. Yu AI4TS 109 51 0 26 Apr 2022
Semi-supervised anomaly detection algorithm based on KL divergence (SAD-KL) C. Lee Kibae Lee 59 5 0 28 Mar 2022
Data-Efficient and Interpretable Tabular Anomaly Detection C. Chang Jinsung Yoon Sercan O. Arik Madeleine Udell Tomas Pfister 35 20 0 03 Mar 2022
Anomalib: A Deep Learning Library for Anomaly Detection S. Akçay Dick Ameln Ashwin Vaidya B. Lakshmanan Nilesh A. Ahuja Ergin Utku Genc 117 114 0 16 Feb 2022
Latent Outlier Exposure for Anomaly Detection with Contaminated Data Chen Qiu Aodong Li Marius Kloft Maja R. Rudolph Stephan Mandt 62 58 0 16 Feb 2022
Uncovering the Source of Machine Bias Xiyang Hu Yan-ping Huang Beibei Li Tian Lu FaML 72 2 0 09 Jan 2022
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions Zheng Li Yue Zhao Xiyang Hu N. Botta C. Ionescu George H. Chen 92 299 0 02 Jan 2022
Online false discovery rate control for anomaly detection in time series Quentin Rebjock Barics Kurt Tim Januschowski Laurent Callot AI4TS 55 14 0 06 Dec 2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan Sijia Liu Pin-Yu Chen Gaoyuan Zhang Chuang Gan AAML VLM 90 124 0 01 Nov 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 108 199 0 26 Oct 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 94 32 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 301 943 0 21 Oct 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection HanQin Cai Jialin Liu W. Yin 110 42 0 11 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 126 697 0 05 Oct 2021
gen2Out: Detecting and Ranking Generalized Anomalies Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos T. Hutson L. Iasemidis 43 13 0 06 Sep 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 82 35 0 18 Aug 2021
Explainable Deep Few-shot Anomaly Detection with Deviation Networks Guansong Pang Choubo Ding Chunhua Shen Anton Van Den Hengel 101 88 0 01 Aug 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 126 772 0 22 Jun 2021
An Information Retrieval Approach to Building Datasets for Hate Speech Detection Md. Mustafizur Rahman Dinesh Balakrishnan Dhiraj Murthy Mucahid Kutlu Matthew Lease 53 24 0 17 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 95 563 0 14 Jun 2021
Deep Clustering based Fair Outlier Detection Hanyu Song Peizhao Li Hongfu Liu FaML 33 33 0 09 Jun 2021
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection Yingjie Zhou Xuchen Song Yanru Zhang Fanxing Liu Ce Zhu Lingqiao Liu UQCV 100 104 0 22 May 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 60 18 0 19 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 94 136 0 30 Apr 2021
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers Andrei Manolache Florin Brad Elena Burceanu UQCV 64 34 0 12 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 89 219 0 07 Apr 2021
Neural Transformation Learning for Deep Anomaly Detection Beyond Images Chen Qiu Timo Pfrommer Marius Kloft Stephan Mandt Maja R. Rudolph ViT AI4TS 58 128 0 30 Mar 2021
Learning Placeholders for Open-Set Recognition Da-Wei Zhou Han-Jia Ye De-Chuan Zhan VLM 65 198 0 28 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 117 346 0 22 Mar 2021
Homophily Outlier Detection in Non-IID Categorical Data Guansong Pang LongBing Cao Ling-Hao Chen OODD 40 12 0 21 Mar 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development Kexin Huang Tianfan Fu Wenhao Gao Yue Zhao Yusuf Roohani J. Leskovec Connor W. Coley Cao Xiao Jimeng Sun Marinka Zitnik OOD LM&MA 81 284 0 18 Feb 2021
Towards Fair Deep Anomaly Detection Hongjing Zhang Ian Davidson FaML 111 40 0 29 Dec 2020
FairOD: Fairness-aware Outlier Detection Shubhranshu Shekhar Neil Shah Leman Akoglu 68 37 0 05 Dec 2020
Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang Bin Dai David Wipf Jun Zhu 69 40 0 25 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 80 252 0 12 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 273 1,375 0 08 Oct 2020
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization Tianfan Fu Cao Xiao Xinhao Li Lucas Glass Jimeng Sun 96 81 0 05 Oct 2020