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Memory Augmented Generative Adversarial Networks for Anomaly Detection

Memory Augmented Generative Adversarial Networks for Anomaly Detection

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
7 February 2020
Ziyi Yang
Teng Zhang
I. S. Bozchalooi
Eric F. Darve
    GAN
ArXiv (abs)PDFHTML

Papers citing "Memory Augmented Generative Adversarial Networks for Anomaly Detection"

13 / 13 papers shown
PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring
PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring
Joy Lai
Alex Mihailidis
146
0
0
20 Nov 2025
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
389
49
0
31 May 2024
Targeted collapse regularized autoencoder for anomaly detection: black
  hole at the center
Targeted collapse regularized autoencoder for anomaly detection: black hole at the centerIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
A. Ghafourian
Huanyi Shui
Devesh Upadhyay
Rajesh K. Gupta
Dimitar Filev
I. S. Bozchalooi
AAML
305
4
0
22 Jun 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected
  Reconstruction
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected ReconstructionPattern Recognition (Pattern Recogn.), 2023
Xu Tan
Jiawei Yang
Junqi Chen
S. Rahardja
S. Rahardja
UQCV
371
5
0
03 Apr 2023
Dual Memory Units with Uncertainty Regulation for Weakly Supervised
  Video Anomaly Detection
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly DetectionAAAI Conference on Artificial Intelligence (AAAI), 2023
Hang Zhou
Junqing Yu
Wei Yang
230
170
0
10 Feb 2023
Dense Out-of-Distribution Detection by Robust Learning on Synthetic
  Negative Data
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative DataItalian National Conference on Sensors (INS), 2021
Matej Grcić
Petra Bevandić
Zoran Kalafatić
Sinivsa vSegvić
404
15
0
23 Dec 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly
  Detection
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection
Marija Ivanovska
Vitomir Štruc
249
3
0
28 Sep 2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly
  Detection
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Jinlei Hou
Yingying Zhang
Qiaoyong Zhong
Di Xie
Shiliang Pu
Hong Zhou
299
198
0
28 Jul 2021
Anomaly Detection: How to Artificially Increase your F1-Score with a
  Biased Evaluation Protocol
Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
Damien Fourure
Muhammad Usama Javaid
N. Posocco
Simon Tihon
259
54
0
30 Jun 2021
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
Siddharth Bhatia
Yiwei Wang
Bryan Hooi
Tanmoy Chakraborty
277
8
0
29 Jun 2021
MemStream: Memory-Based Streaming Anomaly Detection
MemStream: Memory-Based Streaming Anomaly DetectionThe Web Conference (WWW), 2021
Siddharth Bhatia
Arjit Jain
Shivin Srivastava
Kenji Kawaguchi
Bryan Hooi
AI4TS
243
30
0
07 Jun 2021
Anomaly Detection with Domain Adaptation
Anomaly Detection with Domain Adaptation
Ziyi Yang
I. S. Bozchalooi
Eric F. Darve
OOD
180
40
0
05 Jun 2020
Learning Generative Models using Denoising Density Estimators
Learning Generative Models using Denoising Density EstimatorsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Siavash Bigdeli
Geng Lin
Tiziano Portenier
L. A. Dunbar
Matthias Zwicker
DiffM
394
17
0
08 Jan 2020
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