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Probabilistic Outlier Detection and Generation

Probabilistic Outlier Detection and Generation

22 December 2020
S. Rizzo
Linsey Pang
Yixian Chen
Sanjay Chawla
ArXivPDFHTML

Papers citing "Probabilistic Outlier Detection and Generation"

14 / 14 papers shown
Title
Deep Anomaly Detection with Deviation Networks
Deep Anomaly Detection with Deviation Networks
Guansong Pang
Chunhua Shen
Anton Van Den Hengel
50
353
0
19 Nov 2019
A Survey on GANs for Anomaly Detection
A Survey on GANs for Anomaly Detection
Federico Di Mattia
P. Galeone
M. D. Simoni
Emanuele Ghelfi
58
124
0
27 Jun 2019
Robust Variational Autoencoder
Robust Variational Autoencoder
H. Akrami
Anand A. Joshi
Jian Li
Sergul Aydore
Richard M. Leahy
DRL
49
21
0
23 May 2019
Learning Competitive and Discriminative Reconstructions for Anomaly
  Detection
Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Kai Tian
Shuigeng Zhou
Jianping Fan
Jihong Guan
UQCV
32
23
0
17 Mar 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
110
1,486
0
10 Jan 2019
Adversarially Learned Anomaly Detection
Adversarially Learned Anomaly Detection
Houssam Zenati
Manon Romain
Chuan-Sheng Foo
Bruno Lecouat
V. Chandrasekhar
GAN
49
402
0
06 Dec 2018
Sinkhorn AutoEncoders
Sinkhorn AutoEncoders
Giorgio Patrini
Rianne van den Berg
Patrick Forré
M. Carioni
Samarth Bhargav
Max Welling
Tim Genewein
Frank Nielsen
DiffM
27
89
0
02 Oct 2018
Flow-based Network Traffic Generation using Generative Adversarial
  Networks
Flow-based Network Traffic Generation using Generative Adversarial Networks
Markus Ring
Daniel Schlor
Dieter Landes
Andreas Hotho
48
170
0
27 Sep 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
32
560
0
17 Feb 2018
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
104
1,049
0
05 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
170
8,807
0
25 Aug 2017
Robust, Deep and Inductive Anomaly Detection
Robust, Deep and Inductive Anomaly Detection
Raghavendra Chalapathy
A. Menon
Sanjay Chawla
57
161
0
22 Apr 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo
Gang Niu
M. C. D. Plessis
Masashi Sugiyama
60
471
0
02 Mar 2017
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
232
13,968
0
19 Nov 2015
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