A Unifying Review of Deep and Shallow Anomaly Detection

24 September 2020

Lukas Ruff

Jacob R. Kauffmann

Robert A. Vandermeulen

Papers citing "A Unifying Review of Deep and Shallow Anomaly Detection"

50 / 226 papers shown

Title
MADCluster: Model-agnostic Anomaly Detection with Self-supervised Clustering Network Sangyong Lee Subo Hwang Dohoon Kim 73 0 0 22 May 2025
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection Wentao Zhang Xinyu Lin Wenjun Yu Guangzhen Yao jingxiang Zhong Yongbin Li Renda Han Songcheng Xu Hao Shi Cuicui Luo AI4TS 81 0 0 19 Apr 2025
Computing High-dimensional Confidence Sets for Arbitrary Distributions Chao Gao Liren Shan Vaidehi Srinivas Aravindan Vijayaraghavan 76 1 0 03 Apr 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 86 0 0 28 Feb 2025
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation R. Yasarla H. Cai Jisoo Jeong Y. Shi Risheek Garrepalli Fatih Porikli MDE 190 17 0 17 Jan 2025
Human Activity Recognition in an Open World D. Prijatelj Samuel Grieggs Jin Huang Dawei Du Ameya Shringi Christopher Funk Adam Kaufman Eric Robertson Walter J. Scheirer University of Notre Dame 111 3 0 17 Jan 2025
Identifying Information from Observations with Uncertainty and Novelty D. Prijatelj Timothy J. Ireland Walter J. Scheirer 94 0 0 16 Jan 2025
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 88 1 0 29 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 69 7 0 23 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 82 9 0 14 May 2024
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 78 32 0 11 Jan 2024
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 135 0 0 24 Nov 2023
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 88 806 0 03 Oct 2023
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels Stine Hansen Srishti Gautam Robert Jenssen Michael C. Kampffmeyer 95 86 0 03 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 229 30,089 0 01 Mar 2022
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs S. Nedelkoski Jasmin Bogatinovski Alexander Acker Jorge Cardoso O. Kao 37 129 0 21 Aug 2020
Backpropagated Gradient Representations for Anomaly Detection Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib 56 71 0 18 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 65 598 0 16 Jul 2020
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure John Sipple 43 53 0 12 Jul 2020
Contrastive Training for Improved Out-of-Distribution Detection Jim Winkens Rudy Bunel Abhijit Guha Roy Robert Stanforth Vivek Natarajan ... Alan Karthikesalingam Simon A. A. Kohl taylan. cemgil S. M. Ali Eslami Olaf Ronneberger OODD 105 240 0 10 Jul 2020
Explainable Deep One-Class Classification Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Marius Kloft Klaus-Robert Muller 45 198 0 03 Jul 2020
Manifolds for Unsupervised Visual Anomaly Detection Louise Naud Alexander Lavin DRL 30 6 0 19 Jun 2020
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features R. Schirrmeister Yuxuan Zhou T. Ball Dan Zhang UQCV 52 88 0 18 Jun 2020
The Clever Hans Effect in Anomaly Detection Jacob R. Kauffmann Lukas Ruff G. Montavon Klaus-Robert Muller AAML 48 31 0 18 Jun 2020
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks Kirill Bykov Marina M.-C. Höhne Klaus-Robert Muller Shinichi Nakajima Marius Kloft UQCV FAtt 80 31 0 16 Jun 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data Polina Kirichenko Pavel Izmailov A. Wilson OODD 61 275 0 15 Jun 2020
Generating Artificial Outliers in the Absence of Genuine Ones -- a Survey Georg Steinbuss Klemens Böhm 15 8 0 05 Jun 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 61 89 0 30 May 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 660 41,736 0 28 May 2020
Transformation Based Deep Anomaly Detection in Astronomical Images E. Reyes P. Estévez 45 12 0 15 May 2020
Classification-Based Anomaly Detection for General Data Liron Bergman Yedid Hoshen 47 350 0 05 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 50 16 0 05 May 2020
Unsupervised Lesion Detection via Image Restoration with a Normative Prior Xiaoran Chen Suhang You K. Tezcan E. Konukoglu MedIm 51 137 0 30 Apr 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 123 185 0 27 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 103 83 0 17 Mar 2020
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder Natasa Sarafijanovic-Djukic Jesse Davis 44 25 0 12 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 298 931 0 02 Mar 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 57 163 0 28 Feb 2020
Deep Nearest Neighbor Anomaly Detection Liron Bergman Niv Cohen Yedid Hoshen UQCV 74 160 0 24 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 325 18,721 0 13 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 220 316 0 07 Feb 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification Penny Chong Lukas Ruff Marius Kloft Alexander Binder 76 35 0 24 Jan 2020
Safe Robot Navigation via Multi-Modal Anomaly Detection Lorenz Wellhausen René Ranftl Marco Hutter 59 77 0 22 Jan 2020
Anomaly Detection with Density Estimation Benjamin Nachman David Shih 39 219 0 14 Jan 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 76 542 0 06 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 181 1,687 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 363 42,299 0 03 Dec 2019
Novelty Detection Via Blurring Sung-Ik Choi Sae-Young Chung UQCV 40 36 0 27 Nov 2019
Attribute Restoration Framework for Anomaly Detection Chaoqin Huang Fei Ye Jinkun Cao Maosen Li Ya Zhang Cewu Lu 93 50 0 25 Nov 2019
Deep Anomaly Detection with Deviation Networks Guansong Pang Chunhua Shen Anton Van Den Hengel 65 355 0 19 Nov 2019