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A Unifying Review of Deep and Shallow Anomaly Detection

A Unifying Review of Deep and Shallow Anomaly Detection

24 September 2020
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
    UQCV
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Papers citing "A Unifying Review of Deep and Shallow Anomaly Detection"

50 / 226 papers shown
Title
Adversarially Learned Anomaly Detection
Adversarially Learned Anomaly Detection
Houssam Zenati
Manon Romain
Chuan-Sheng Foo
Bruno Lecouat
V. Chandrasekhar
GAN
65
403
0
06 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
113
1,466
0
29 Nov 2018
Variational Autoencoders for New Physics Mining at the Large Hadron
  Collider
Variational Autoencoders for New Physics Mining at the Large Hadron Collider
O. Cerri
Thong Q. Nguyen
M. Pierini
M. Spiropulu
J. Vlimant
DRL
35
144
0
26 Nov 2018
Anomaly Detection using Autoencoders in High Performance Computing
  Systems
Anomaly Detection using Autoencoders in High Performance Computing Systems
Andrea Borghesi
Andrea Bartolini
M. Lombardi
M. Milano
Luca Benini
26
187
0
13 Nov 2018
Reducing Network Agnostophobia
Reducing Network Agnostophobia
A. Dhamija
Manuel Günther
Terrance E. Boult
AAML
UQCV
61
301
0
09 Nov 2018
A Survey on Data Collection for Machine Learning: a Big Data -- AI
  Integration Perspective
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
Yuji Roh
A. Mishra
Steven Euijong Whang
63
680
0
08 Nov 2018
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
55
756
0
22 Oct 2018
Unsupervised Detection of Anomalous Sound based on Deep Learning and the
  Neyman-Pearson Lemma
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma
Yuma Koizumi
Shoichiro Saito
Hisashi Uematsu
Noboru Harada
AAML
56
158
0
22 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.6K
94,511
0
11 Oct 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSL
DRL
302
2,661
0
20 Aug 2018
Out-of-Distribution Detection using Multiple Semantic Label
  Representations
Out-of-Distribution Detection using Multiple Semantic Label Representations
Gabi Shalev
Yossi Adi
Joseph Keshet
OODD
67
85
0
20 Aug 2018
Open Category Detection with PAC Guarantees
Open Category Detection with PAC Guarantees
Si Liu
Risheek Garrepalli
Thomas G. Dietterich
Alan Fern
Dan Hendrycks
50
84
0
01 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
165
2,044
0
10 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi
Ranya Almohsen
Donald Adjeroh
Gianfranco Doretto
UQCV
40
321
0
06 Jul 2018
Latent Space Autoregression for Novelty Detection
Latent Space Autoregression for Novelty Detection
Davide Abati
Angelo Porrello
Simone Calderara
Rita Cucchiara
100
433
0
04 Jul 2018
Unsupervised Detection of Lesions in Brain MRI using constrained
  adversarial auto-encoders
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
Xiaoran Chen
E. Konukoglu
MedIm
59
264
0
13 Jun 2018
To Trust Or Not To Trust A Classifier
To Trust Or Not To Trust A Classifier
Heinrich Jiang
Been Kim
Melody Y. Guan
Maya R. Gupta
UQCV
164
471
0
30 May 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
86
606
0
28 May 2018
Localized Multiple Kernel Learning for Anomaly Detection: One-class
  Classification
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification
C. Gautam
R. Balaji
S. K
Aruna Tiwari
K. Ahuja
23
37
0
21 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
GAN
73
1,387
0
17 May 2018
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class
  Models
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models
Jacob R. Kauffmann
K. Müller
G. Montavon
DRL
69
96
0
16 May 2018
Group Anomaly Detection using Deep Generative Models
Group Anomaly Detection using Deep Generative Models
Raghavendra Chalapathy
E. Toth
Sanjay Chawla
25
58
0
13 Apr 2018
Efficient Anomaly Detection via Matrix Sketching
Efficient Anomaly Detection via Matrix Sketching
Vatsal Sharan
Parikshit Gopalan
Udi Wieder
33
11
0
09 Apr 2018
Neural Autoregressive Flows
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRL
AI4CE
128
441
0
03 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
241
3,283
0
21 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GAN
GNN
155
360
0
02 Mar 2018
Adversarially Learned One-Class Classifier for Novelty Detection
Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou
Mohammad Khalooei
M. Fathy
Ehsan Adeli
AAML
137
692
0
25 Feb 2018
Anomaly Detection using One-Class Neural Networks
Anomaly Detection using One-Class Neural Networks
Raghavendra Chalapathy
A. Menon
Sanjay Chawla
UQCV
51
395
0
18 Feb 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
45
562
0
17 Feb 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
192
11,542
0
15 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Terrance Devries
Graham W. Taylor
OOD
OODD
77
586
0
13 Feb 2018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic
  Thresholding
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
K. Hundman
V. Constantinou
Christopher Laporte
Ian Colwell
T. Söderström
AI4TS
103
1,247
0
13 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
331
1,367
0
12 Feb 2018
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal
  KPIs in Web Applications
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
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
195
3,180
0
01 Feb 2018
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep
  Auto-Encoder Representations
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations
Çağlar Aytekin
Xingyang Ni
Francesco Cricri
Emre B. Aksu
SSL
UQCV
49
146
0
01 Feb 2018
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat
  Detection
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection
S. Latif
Muhammad Usman
R. Rana
Junaid Qadir
56
145
0
25 Jan 2018
Learning Deep Features for One-Class Classification
Learning Deep Features for One-Class Classification
Pramuditha Perera
Vishal M. Patel
114
370
0
16 Jan 2018
An overview of deep learning based methods for unsupervised and
  semi-supervised anomaly detection in videos
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos
Dilip Ravi Kiran
Mathew Thomas
Ranjith Parakkal
64
448
0
09 Jan 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
106
1,407
0
08 Dec 2017
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
73
1,024
0
28 Nov 2017
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
113
881
0
26 Nov 2017
The Doctor Just Won't Accept That!
The Doctor Just Won't Accept That!
Zachary Chase Lipton
FaML
59
101
0
20 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
208
4,989
0
02 Nov 2017
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an
  LSTM-based Variational Autoencoder
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
DOC: Deep Open Classification of Text Documents
DOC: Deep Open Classification of Text Documents
Lei Shu
Hu Xu
Bing-Quan Liu
VLM
40
300
0
25 Sep 2017
Cascaded Region-based Densely Connected Network for Event Detection: A
  Seismic Application
Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application
Yue-bo Wu
Youzuo Lin
Zheng Zhou
D. C. Bolton
Ji Liu
Paul Johnson
38
109
0
12 Sep 2017
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Hansi Jiang
Haoyu Wang
Wenhao Hu
Deovrat Kakde
A. Chaudhuri
119
62
0
01 Sep 2017
Explaining Anomalies in Groups with Characterizing Subspace Rules
Explaining Anomalies in Groups with Characterizing Subspace Rules
Meghanath Macha
Leman Akoglu
24
39
0
20 Aug 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
278
2,257
0
24 Jun 2017
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