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Deep Learning for Anomaly Detection: A Review

6 July 2020

Chunhua Shen

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

50 / 82 papers shown

Title
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 185 2 0 24 Mar 2025
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 185 12 0 16 May 2024
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 98 804 0 03 Oct 2023
Coupling Learning of Complex Interactions LongBing Cao 80 134 0 01 Jul 2020
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy Yu Tian Gabriel Maicas L. Pu Rajvinder Singh Johan Verjans G. Carneiro MedIm 57 39 0 26 Jun 2020
Sequential Anomaly Detection using Inverse Reinforcement Learning Min Hwan Oh G. Iyengar OffRL AI4TS 43 80 0 22 Apr 2020
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm M. Zaheer Jin-ha Lee Marcella Astrid Seung-Ik Lee AAML 67 222 0 16 Apr 2020
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection Guansong Pang Cheng Yan Chunhua Shen Anton Van Den Hengel Xiao Bai 61 209 0 15 Mar 2020
Unsupervised Representation Learning by Predicting Random Distances Hu Wang Guansong Pang Chunhua Shen Congbo Ma OOD SSL 45 74 0 22 Dec 2019
Deep Anomaly Detection with Deviation Networks Guansong Pang Chunhua Shen Anton Van Den Hengel 76 358 0 19 Nov 2019
Deep Weakly-supervised Anomaly Detection Guansong Pang Chunhua Shen Huidong Jin Anton van den Hengel 89 91 0 30 Oct 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 205 726 0 07 Jun 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 58 547 0 06 Jun 2019
Deep Spectral Clustering using Dual Autoencoder Network Xu Yang Cheng Deng Feng Zheng Junchi Yan Wen Liu 73 251 0 30 Apr 2019
Deep Anomaly Detection for Generalized Face Anti-Spoofing Daniel Pérez-Cabo David Jiménez-Cabello Artur Costa-Pazo Roberto J. López-Sastre CVBM 24 61 0 17 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 90 1,816 0 10 Apr 2019
Fence GAN: Towards Better Anomaly Detection Cuong Phuc Ngo Amadeus Aristo Winarto C. Kou Sojeong Park Farhan Akram H. Lee 67 93 0 02 Apr 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 121 526 0 20 Mar 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 154 1,495 0 10 Jan 2019
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video Radu Tudor Ionescu Fahad Shahbaz Khan Mariana-Iuliana Georgescu Ling Shao 172 327 0 11 Dec 2018
Adversarially Learned Anomaly Detection Houssam Zenati Manon Romain Chuan-Sheng Foo Bruno Lecouat V. Chandrasekhar GAN 74 403 0 06 Dec 2018
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data Chuxu Zhang Dongjin Song Yuncong Chen Xinyang Feng C. Lumezanu Wei Cheng Jingchao Ni Bo Zong Haifeng Chen Nitesh Chawla AI4TS 175 702 0 20 Nov 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 159 1,344 0 30 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Generative Adversarial Active Learning for Unsupervised Outlier Detection Yezheng Liu Zhe Li Chong Zhou Yuanchun Jiang Jianshan Sun Ming Wang Xiangnan He 54 301 0 28 Sep 2018
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 72 707 0 13 Aug 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Helen Zhou FaML 88 1,092 0 31 Jul 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 113 435 0 04 Jul 2018
Deep Sequence Learning with Auxiliary Information for Traffic Prediction Binbing Liao Jingqing Zhang Chao Wu Douglas McIlwraith Tong Chen Shengwen Yang Yike Guo Leilei Gan 75 210 0 13 Jun 2018
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection Guansong Pang LongBing Cao Ling-Hao Chen Huan Liu 78 208 0 13 Jun 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 180 306 0 11 Jun 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 97 606 0 28 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 85 1,396 0 17 May 2018
Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features Minh-Nghia Nguyen Ngo Anh Vien 45 35 0 13 Apr 2018
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank Xialei Liu Joost van de Weijer Andrew D. Bagdanov SSL 60 287 0 08 Mar 2018
One-Class Adversarial Nets for Fraud Detection Panpan Zheng Shuhan Yuan Xintao Wu Jun Yu Li Aidong Lu 69 161 0 05 Mar 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 154 693 0 25 Feb 2018
Anomaly Detection using One-Class Neural Networks Raghavendra Chalapathy A. Menon Sanjay Chawla UQCV 53 397 0 18 Feb 2018
Efficient GAN-Based Anomaly Detection Houssam Zenati Chuan-Sheng Foo Bruno Lecouat Gaurav Manek V. Chandrasekhar 45 563 0 17 Feb 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 233 11,566 0 15 Feb 2018
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection Andrea Paudice Luis Muñoz-González András Gyorgy Emil C. Lupu AAML 58 146 0 08 Feb 2018
Clustering with Deep Learning: Taxonomy and New Methods Elie Aljalbout Vladimir Golkov Yawar Siddiqui Maximilian Strobel Daniel Cremers 71 241 0 23 Jan 2018
Real-world Anomaly Detection in Surveillance Videos Waqas Sultani Chen Chen M. Shah AI4TS 177 1,492 0 12 Jan 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline Wen Liu Weixin Luo Dongze Lian Shenghua Gao 3DH 173 1,079 0 28 Dec 2017
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 123 882 0 26 Nov 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 118 3,059 0 19 Oct 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 75 484 0 27 May 2017
Unmasking the abnormal events in video Radu Tudor Ionescu Sorina Smeureanu B. Alexe Marius Popescu 65 274 0 23 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 122 2,451 0 15 May 2017
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization Kamran Ghasedi Dizaji Amirhossein Herandi Cheng Deng Weidong (Tom) Cai Heng-Chiao Huang 49 524 0 20 Apr 2017