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GAN Ensemble for Anomaly Detection

GAN Ensemble for Anomaly Detection

AAAI Conference on Artificial Intelligence (AAAI), 2020
14 December 2020
Xu Han
Xiaohui Chen
Liping Liu
ArXiv (abs)PDFHTML

Papers citing "GAN Ensemble for Anomaly Detection"

29 / 29 papers shown
Quantum enhanced ensemble GANs for anomaly detection in continuous biomanufacturing
Quantum enhanced ensemble GANs for anomaly detection in continuous biomanufacturing
Rajiv Kailasanathan
William R. Clements
Mohammad Reza Boskabadi
Shawn M. Gibford
Emmanouil Papadakis
Christopher J. Savoie
Seyed Soheil Mansouri
105
2
0
29 Aug 2025
Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling
Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling
Trae Research Team
Pengfei Gao
Zhao Tian
Xiangxin Meng
Xinchen Wang
...
Cuiyun Gao
Yun Lin
Y. Xiong
Chao Peng
Xia Liu
LLMAGAIFin
155
62
0
31 Jul 2025
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach
  for Signal Classification
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal ClassificationThe Florida AI Research Society (FLAIRS), 2024
Nelly Elsayed
Constantinos L. Zekios
Navid Asadizanjani
Zag ElSayed
229
0
0
13 Jan 2024
EMEF: Ensemble Multi-Exposure Image Fusion
EMEF: Ensemble Multi-Exposure Image FusionAAAI Conference on Artificial Intelligence (AAAI), 2023
Renshuai Liu
Chengyang Li
Haitao Cao
Yinglin Zheng
Ming Zeng
Xuan Cheng
172
8
0
22 May 2023
Anomaly Detection with Ensemble of Encoder and Decoder
Anomaly Detection with Ensemble of Encoder and Decoder
Xijuan Sun
Di Wu
Arnaud Zinflou
Benoit Boulet
134
2
0
11 Mar 2023
Learning Invariant Rules from Data for Interpretable Anomaly Detection
Learning Invariant Rules from Data for Interpretable Anomaly Detection
Cheng Feng
Pingge Hu
319
2
0
24 Nov 2022
Detecting Irregular Network Activity with Adversarial Learning and
  Expert Feedback
Detecting Irregular Network Activity with Adversarial Learning and Expert FeedbackIndustrial Conference on Data Mining (IDM), 2022
Gopikrishna Rathinavel
Nikhil Muralidhar
Tim O'Shea
Naren Ramakrishnan
AAML
155
2
0
01 Oct 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and
  Localization
Self-Supervised Masking for Unsupervised Anomaly Detection and LocalizationIEEE transactions on multimedia (IEEE TMM), 2022
Chaoqin Huang
Qinwei Xu
Yanfeng Wang
Yu Wang
Ya Zhang
341
92
0
13 May 2022
Omni-frequency Channel-selection Representations for Unsupervised
  Anomaly Detection
Omni-frequency Channel-selection Representations for Unsupervised Anomaly DetectionIEEE Transactions on Image Processing (IEEE TIP), 2022
Yufei Liang
Jiangning Zhang
Shiwei Zhao
Ru-Chwen Wu
Yong-Jin Liu
Shuwen Pan
461
206
0
01 Mar 2022
Anomaly Detection in Blockchain Networks: A Comprehensive Survey
Anomaly Detection in Blockchain Networks: A Comprehensive Survey
Muneeb Ul Hassan
M. H. Rehmani
Jinjun Chen
AI4TS
298
197
0
11 Dec 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A SurveyInternational Journal of Computer Vision (IJCV), 2021
Jingkang Yang
Kaiyang Zhou
Shouqing Yang
Ziwei Liu
919
1,318
0
21 Oct 2021
Rethinking Multidimensional Discriminator Output for Generative
  Adversarial Networks
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks
M. Dai
Haibin Hang
A. Srivastava
297
3
0
08 Sep 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
232
53
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
A Survey on Ensemble Learning under the Era of Deep Learning
A Survey on Ensemble Learning under the Era of Deep LearningArtificial Intelligence Review (AIR), 2021
Yongquan Yang
Haijun Lv
Ning Chen
OOD
827
316
0
21 Jan 2021
Double-Adversarial Activation Anomaly Detection: Adversarial
  Autoencoders are Anomaly Generators
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly GeneratorsIEEE International Joint Conference on Neural Network (IJCNN), 2021
Jan-Philipp Schulze
Philip Sperl
Konstantin Böttinger
264
6
0
12 Jan 2021
Anomaly Detection by Recombining Gated Unsupervised Experts
Anomaly Detection by Recombining Gated Unsupervised ExpertsIEEE International Joint Conference on Neural Network (IJCNN), 2020
Jan-Philipp Schulze
Philip Sperl
Konstantin Böttinger
357
1
0
31 Aug 2020
Lipschitz Generative Adversarial Nets
Lipschitz Generative Adversarial Nets
Zhiming Zhou
Jiadong Liang
Yuxuan Song
Lantao Yu
Hongwei Wang
Weinan Zhang
Yong Yu
Zhihua Zhang
GAN
369
85
0
15 Feb 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder
  Anomaly Detection
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
UQCV
359
448
0
25 Jan 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
787
1,748
0
10 Jan 2019
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
GAN
497
1,658
0
17 May 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
365
597
0
17 Feb 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
515
1,630
0
13 Jan 2018
Stabilizing GAN Training with Multiple Random Projections
Stabilizing GAN Training with Multiple Random Projections
Behnam Neyshabur
Srinadh Bhojanapalli
Ayan Chakrabarti
179
84
0
22 May 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to
  Guide Marker Discovery
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedImGAN
520
2,465
0
17 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora
Rong Ge
Yingyu Liang
Tengyu Ma
Yi Zhang
GAN
477
717
0
02 Mar 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
512
5,102
0
26 Jan 2017
Generative Multi-Adversarial Networks
Generative Multi-Adversarial Networks
Ishan Durugkar
I. Gemp
Sridhar Mahadevan
GAN
297
363
0
05 Nov 2016
Deep Structured Energy Based Models for Anomaly Detection
Deep Structured Energy Based Models for Anomaly Detection
Shuangfei Zhai
Yu Cheng
Weining Lu
Zhongfei Zhang
312
454
0
25 May 2016
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