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Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series
v1v2v3 (latest)

Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series

10 October 2020
Vincent Jacob
Fei Song
Arnaud Stiegler
Bijan Rad
Y. Diao
Nesime Tatbul
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series"

21 / 21 papers shown
Title
Causality-based Explanation of Classification Outcomes
Causality-based Explanation of Classification Outcomes
Leopoldo Bertossi
Jordan Li
Maximilian Schleich
Dan Suciu
Zografoula Vagena
XAICMLFAtt
222
46
0
15 Mar 2020
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
90
1,814
0
10 Apr 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
154
1,493
0
10 Jan 2019
The UEA multivariate time series classification archive, 2018
The UEA multivariate time series classification archive, 2018
A. Bagnall
Hoang Anh Dau
Jason Lines
Michael Flynn
J. Large
A. Bostrom
Paul Southam
Eamonn Keogh
AI4TS
171
429
0
31 Oct 2018
The UCR Time Series Archive
The UCR Time Series Archive
Hoang Anh Dau
A. Bagnall
Kaveh Kamgar
Chin-Chia Michael Yeh
Yan Zhu
Shaghayegh Gharghabi
C. Ratanamahatana
Eamonn Keogh
64
831
0
17 Oct 2018
Anomaly Detection with Generative Adversarial Networks for Multivariate
  Time Series
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
Dan Li
Dacheng Chen
Jonathan Goh
See-kiong Ng
AI4TS
57
297
0
13 Sep 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance
  Benchmark
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman
Daniel Kang
Deepak Narayanan
Luigi Nardi
Tian Zhao
Jian Zhang
Peter Bailis
K. Olukotun
Christopher Ré
Matei A. Zaharia
53
117
0
04 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
1.1K
7,182
0
20 Apr 2018
Precision and Recall for Time Series
Precision and Recall for Time Series
Nesime Tatbul
T. Lee
S. Zdonik
Mejbah Alam
Justin Emile Gottschlich
AI4TS
55
154
0
08 Mar 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
45
563
0
17 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
75
815
0
12 Feb 2018
Distilling a Neural Network Into a Soft Decision Tree
Distilling a Neural Network Into a Soft Decision Tree
Nicholas Frosst
Geoffrey E. Hinton
411
637
0
27 Nov 2017
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu
M. C. Hughes
S. Parbhoo
Maurizio Zazzi
Volker Roth
Finale Doshi-Velez
AI4CE
117
283
0
16 Nov 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,939
0
22 May 2017
Collective Anomaly Detection based on Long Short Term Memory Recurrent
  Neural Network
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network
Loïc Bontemps
V. Cao
James McDermott
Nhien-An Le-Khac
43
246
0
28 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
108
2,230
0
17 Mar 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
188
5,989
0
04 Mar 2017
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
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
16,990
0
16 Feb 2016
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly
  Benchmark
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark
Alexander Lavin
Subutai Ahmad
AI4TS
47
426
0
12 Oct 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
65
174
0
03 Mar 2015
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