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Deep Learning for Anomaly Detection: A Review
v1v2v3 (latest)

Deep Learning for Anomaly Detection: A Review

6 July 2020
Guansong Pang
Chunhua Shen
LongBing Cao
Anton Van Den Hengel
ArXiv (abs)PDFHTML

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

32 / 82 papers shown
Title
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
127
5,553
0
30 Mar 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
111
2,233
0
17 Mar 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
64
1,056
0
01 Mar 2017
On the (Statistical) Detection of Adversarial Examples
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse
Praveen Manoharan
Nicolas Papernot
Michael Backes
Patrick McDaniel
AAML
78
714
0
21 Feb 2017
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
77
658
0
08 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
116
1,004
0
07 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
171
3,472
0
07 Oct 2016
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical
  Events
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events
Ting-Li Chen
L. Tang
Yizhou Sun
Zhengzhang Chen
Kai Zhang
40
85
0
26 Aug 2016
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Hao Wang
Dit-Yan Yeung
BDL
60
225
0
24 Aug 2016
Unbiased Learning-to-Rank with Biased Feedback
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims
Adith Swaminathan
Tobias Schnabel
CML
80
541
0
16 Aug 2016
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection
Pankaj Malhotra
Anusha Ramakrishnan
G. Anand
Lovekesh Vig
Puneet Agarwal
Gautam M. Shroff
AI4TS
91
958
0
01 Jul 2016
Tutorial on Variational Autoencoders
Tutorial on Variational Autoencoders
Carl Doersch
BDLDRL
99
1,747
0
19 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
486
9,067
0
10 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
92
142
0
31 May 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
171
1,108
0
15 Apr 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang
Devi Parikh
Dhruv Batra
SSL
60
818
0
13 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
100
2,880
0
19 Nov 2015
Deep multi-scale video prediction beyond mean square error
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
126
1,882
0
17 Nov 2015
Learning Deep Representations of Appearance and Motion for Anomalous
  Event Detection
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Dan Xu
Elisa Ricci
Yan Yan
Jingkuan Song
N. Sebe
184
515
0
06 Oct 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
A Meta-Analysis of the Anomaly Detection Problem
A Meta-Analysis of the Anomaly Detection Problem
Andrew Emmott
S. Das
Thomas G. Dietterich
Alan Fern
Weng-Keen Wong
67
174
0
03 Mar 2015
Sequential Feature Explanations for Anomaly Detection
Sequential Feature Explanations for Anomaly Detection
Md Amran Siddiqui
Alan Fern
Thomas G. Dietterich
Weng-Keen Wong
AI4TS
53
44
0
28 Feb 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
446
20,590
0
10 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,595
0
01 Sep 2014
Graph-based Anomaly Detection and Description: A Survey
Graph-based Anomaly Detection and Description: A Survey
Leman Akoglu
Hanghang Tong
Danai Koutra
OODAI4TS
89
1,398
0
18 Apr 2014
k-Sparse Autoencoders
k-Sparse Autoencoders
Alireza Makhzani
Brendan J. Frey
99
457
0
19 Dec 2013
Deep AutoRegressive Networks
Deep AutoRegressive Networks
Karol Gregor
Ivo Danihelka
A. Mnih
Charles Blundell
Daan Wierstra
AI4TSBDL
102
282
0
31 Oct 2013
Outlying Property Detection with Numerical Attributes
Outlying Property Detection with Numerical Attributes
F. Angiulli
Fabio Fassetti
Luigi Palopoli
Giuseppe Manco
59
32
0
15 Jun 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
278
12,458
0
24 Jun 2012
A New Local Distance-Based Outlier Detection Approach for Scattered
  Real-World Data
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Ke Zhang
Marcus Hutter
Huidong Jin
640
394
0
18 Mar 2009
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