Title
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series Ferdinand Rewicki Joachim Denzler Julia Niebling 29 29 0 21 Dec 2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft UQCV 98 45 0 23 May 2022
Towards a Rigorous Evaluation of Time-series Anomaly Detection Siwon Kim K. Choi Hyun-Soo Choi Byunghan Lee Sungroh Yoon AI4TS 111 149 0 11 Sep 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng Bryan Hooi AI4TS 61 868 0 13 Jun 2021
Neural Transformation Learning for Deep Anomaly Detection Beyond Images Chen Qiu Timo Pfrommer Marius Kloft Stephan Mandt Maja R. Rudolph ViT AI4TS 31 125 0 30 Mar 2021
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder Longyuan Li Junchi Yan Haiyang Wang Yaohui Jin BDL AI4TS 65 141 0 02 Feb 2021
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 89 797 0 24 Sep 2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks Alexander Geiger Dongyu Liu Sarah Alnegheimish Alfredo Cuesta-Infante K. Veeramachaneni AI4TS 54 209 0 16 Sep 2020
Multivariate Time-series Anomaly Detection via Graph Attention Network Hang Zhao Yujing Wang Juanyong Duan Congrui Huang Defu Cao Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 40 432 0 04 Sep 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 57 163 0 28 Feb 2020
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 379 42,299 0 03 Dec 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks Dan Li Dacheng Chen Lei Shi Baihong Jin Jonathan Goh See-Kiong Ng 73 773 0 15 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 169 1,475 0 11 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 140 696 0 20 Nov 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 135 692 0 25 Feb 2018
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications Haowen Xu Wenxiao Chen Nengwen Zhao Zeyan Li Jiahao Bu ... Dan Pei Yang Feng Jie Chen Zhaogang Wang Honglin Qiao MLAU 63 812 0 12 Feb 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline Wen Liu Weixin Luo Dongze Lian Shenghua Gao 3DH 152 1,073 0 28 Dec 2017
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder Daehyung Park Yuuna Hoshi Charles C. Kemp DRL 73 746 0 02 Nov 2017
Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model Pavel Filonov Andrey Lavrentyev A. Vorontsov 52 167 0 20 Dec 2016
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection Pankaj Malhotra Anusha Ramakrishnan G. Anand Lovekesh Vig Puneet Agarwal Gautam M. Shroff AI4TS 82 954 0 01 Jul 2016
Learning Temporal Regularity in Video Sequences Mahmudul Hasan Jonghyun Choi J. Neumann Amit K. Roy-Chowdhury L. Davis 151 1,103 0 15 Apr 2016
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series Maximilian Sölch Justin Bayer Marvin Ludersdorfer Patrick van der Smagt AI4TS BDL 45 81 0 23 Feb 2016