Deep Learning for Anomaly Detection: A Review

6 July 2020

Chunhua Shen

Papers citing "Deep Learning for Anomaly Detection: A Review"

43 / 43 papers shown

Title
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 103 2 0 24 Mar 2025
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images Sukanya Patra Nicolas Sournac Souhaib Ben Taieb 39 1 0 23 Jun 2024
Networking Systems for Video Anomaly Detection: A Tutorial and Survey Jing Liu Yang Liu Jieyu Lin Jielin Li Peng Sun Bo Hu Liang Song Azzedine Boukerche Victor C.M. Leung Victor C.M. Leung 43 10 0 16 May 2024
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus Debayan Bhattacharya F. Behrendt B. Becker Lennart Maack Dirk Beyersdorff ... B. Cheng D. Eggert C. Betz A. Hoffmann Alexander Schlaefer SSL 31 0 0 29 Apr 2024
Quantum Patch-Based Autoencoder for Anomaly Segmentation Maria Francisca Madeira Alessandro Poggiali Jeanette Miriam Lorenz 31 0 0 26 Apr 2024
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 14 5 0 10 Nov 2023
Active anomaly detection based on deep one-class classification Minkyung Kim Junsik Kim Jongmin Yu Jun Kyun Choi 34 14 0 18 Sep 2023
Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data Mengjia Niu Yuchen Zhao Hamed Haddadi AI4TS 17 1 0 11 Sep 2023
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks Jiaxi Li Guansong Pang Ling-Hao Chen Mohammad-Reza Namazi-Rad 33 1 0 28 Aug 2023
Diagnostic Spatio-temporal Transformer with Faithful Encoding Jokin Labaien T. Idé Pin-Yu Chen E. Zugasti Xabier De Carlos 59 2 0 26 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 42 82 0 19 May 2023
A benchmark for computational analysis of animal behavior, using animal-borne tags Benjamin Hoffman M. Cusimano V. Baglione D. Canestrari D. Chevallier ... O. Vainio A. Vehkaoja Ken Yoda Katie Zacarian A. Friedlaender 25 7 0 18 May 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services Hui Dou Shanshan Zhu Yiwen Zhang Pengfei Chen Zibin Zheng 9 0 0 20 Apr 2023
Anomaly Detection via Gumbel Noise Score Matching Ahsan Mahmood Junier Oliva Martin Styner 24 1 0 06 Apr 2023
SoftED: Metrics for Soft Evaluation of Time Series Event Detection Rebecca Salles J. Lima R. Coutinho Esther Pacitti F. Masseglia Reza Akbarinia Chao Chen Jonathan M. Garibaldi Fábio Porto Eduardo S. Ogasawara 24 2 0 02 Apr 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 43 130 0 25 Mar 2023
Explainable Contextual Anomaly Detection using Quantile Regression Forests Zhong Li M. Leeuwen AI4TS 45 15 0 22 Feb 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data Ling Yu AI4TS 28 27 0 17 Feb 2023
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models Yang Liu Dingkang Yang Yan Wang Jing Liu Jun Liu Azzedine Boukerche Peng Sun Liang Song 33 80 0 10 Feb 2023
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images Ziyu Su Mostafa Rezapour Usama Sajjad M. Gürcan M. Niazi 22 11 0 18 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Zhilin Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 35 62 0 05 Dec 2022
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation Florinel-Alin Croitoru Nicolae-Cătălin Ristea D. Dascalescu Radu Tudor Ionescu F. Khan M. Shah 34 2 0 28 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 35 32 0 07 Nov 2022
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method Yihong Huang Liping Wang Fan Zhang Xuemin Lin 25 19 0 24 Oct 2022
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine A. Pollastro Giusiana Testa A. Bilotta R. Prevete DRL 29 10 0 11 Oct 2022
Improved Anomaly Detection by Using the Attention-Based Isolation Forest Lev V. Utkin A. Ageev A. Konstantinov 41 6 0 05 Oct 2022
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network Mario Krenn L. Buffoni B. Coutinho S. Eppel J. Foster ... Ngoc M. Tran Francisco Valente Yangxinyu Xie Rose Yu Michael K Kopp 32 41 0 23 Sep 2022
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability Jorge S. S. Júnior Jérôme Mendes F. Souza C. Premebida AI4CE 20 9 0 09 Sep 2022
Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets Pratibha Kumari Priya Choudhary P. Atrey Mukesh Saini 17 6 0 27 Jul 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation Bing-Quan Liu Sahisnu Mazumder Eric Robertson Scott Grigsby CLL AI4CE 35 21 0 17 Mar 2022
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection Bang Xiang Yong Alexandra Brintrup UQCV 28 24 0 25 Feb 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools Piero Fraternali Federico Milani Rocio Nahime Torres Niccolò Zangrando AAML 33 9 0 17 Jan 2022
Functional Anomaly Detection: a Benchmark Study Guillaume Staerman E. Adjakossa Pavlo Mozharovskyi V. Hofer J. Gupta Stéphan Clémençon 22 18 0 13 Jan 2022
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning Bang Xiang Yong Alexandra Brintrup 21 6 0 19 Oct 2021
Analysis of the first Genetic Engineering Attribution Challenge O. Crook K. L. Warmbrod G. Lipstein Christine Chung Christopher W. Bakerlee ... Shelly R. Holland Jacob Swett K. Esvelt E. C. Alley W. Bradshaw 16 9 0 14 Oct 2021
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management Sergio Cofre-Martel E. Droguett M. Modarres AI4CE 32 37 0 08 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
A Novel Intrinsic Measure of Data Separability Shuyue Guan Murray H. Loew 13 14 0 11 Sep 2021
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera Pascal Schneider Yuriy Anisimov Raisul Islam B. Mirbach J. Rambach Frédéric Grandidier D. Stricker MDE 10 10 0 27 Aug 2021
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 21 83 0 19 Apr 2021
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data Guansong Pang Anton Van Den Hengel Chunhua Shen LongBing Cao OffRL 35 85 0 15 Sep 2020
Coupling Learning of Complex Interactions LongBing Cao 38 134 0 01 Jul 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 34 16 0 05 May 2020