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Efficient Out-of-Distribution Detection Using Latent Space of
  $β$-VAE for Cyber-Physical Systems

Efficient Out-of-Distribution Detection Using Latent Space of βββ-VAE for Cyber-Physical Systems

26 August 2021
Shreyas Ramakrishna
Zahra Rahiminasab
G. Karsai
Arvind Easwaran
Abhishek Dubey
    OODD
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Papers citing "Efficient Out-of-Distribution Detection Using Latent Space of $β$-VAE for Cyber-Physical Systems"

40 / 40 papers shown
Title
ReSonAte: A Runtime Risk Assessment Framework for Autonomous Systems
ReSonAte: A Runtime Risk Assessment Framework for Autonomous Systems
Charles Hartsell
Shreyas Ramakrishna
A. Dubey
D. Stojcsics
N. Mahadevan
G. Karsai
19
17
0
18 Feb 2021
Unsupervised anomaly localization using VAE and beta-VAE
Unsupervised anomaly localization using VAE and beta-VAE
Leixin Zhou
Wenxiang Deng
Xiaodong Wu
DRL
50
15
0
19 May 2020
Out-of-Distribution Detection in Multi-Label Datasets using Latent Space
  of $β$-VAE
Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of βββ-VAE
V. Sundar
Shreyas Ramakrishna
Zahra Rahiminasab
Arvind Easwaran
Abhishek Dubey
OODD
DRL
20
20
0
10 Mar 2020
Real-time Out-of-distribution Detection in Learning-Enabled
  Cyber-Physical Systems
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
Feiyang Cai
X. Koutsoukos
OODD
170
75
0
28 Jan 2020
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning
Shuo Wang
Tianle Chen
Shangyu Chen
Carsten Rudolph
Surya Nepal
M. Grobler
31
4
0
18 Jan 2020
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDL
SSL
DRL
74
2,322
0
06 Jun 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
262
5,653
0
26 Mar 2019
Anomaly Detection with Adversarial Dual Autoencoders
Anomaly Detection with Adversarial Dual Autoencoders
Ha Son Vu
D. Ueta
Kiyoshi Hashimoto
Kazuki Maeno
Sugiri Pranata
S. Shen
GAN
33
43
0
19 Feb 2019
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical
  Systems
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical Systems
Shreyas Ramakrishna
Charles Hartsell
Matthew P. Burruss
G. Karsai
A. Dubey
116
14
0
06 Feb 2019
Robust Anomaly Detection in Images using Adversarial Autoencoders
Robust Anomaly Detection in Images using Adversarial Autoencoders
Laura Beggel
Michael Pfeiffer
B. Bischl
UQCV
41
115
0
18 Jan 2019
Learning Latent Subspaces in Variational Autoencoders
Learning Latent Subspaces in Variational Autoencoders
Jack Klys
Jake C. Snell
R. Zemel
SSL
DRL
111
139
0
14 Dec 2018
Improving Reconstruction Autoencoder Out-of-distribution Detection with
  Mahalanobis Distance
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
Taylor Denouden
Rick Salay
Krzysztof Czarnecki
Vahdat Abdelzad
Buu Phan
Sachin Vernekar
OODD
39
118
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
104
1,451
0
29 Nov 2018
Characterizing and Avoiding Negative Transfer
Characterizing and Avoiding Negative Transfer
Zirui Wang
Zihang Dai
Barnabás Póczós
J. Carbonell
80
413
0
24 Nov 2018
Scenic: A Language for Scenario Specification and Scene Generation
Scenic: A Language for Scenario Specification and Scene Generation
Daniel J. Fremont
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
Sanjit A. Seshia
56
250
0
25 Sep 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
168
305
0
11 Jun 2018
q-Space Novelty Detection with Variational Autoencoders
q-Space Novelty Detection with Variational Autoencoders
A. Vasilev
Vladimir Golkov
Marc Meissner
I. Lipp
Eleonora Sgarlata
V. Tomassini
Derek K. Jones
Daniel Cremers
DRL
36
59
0
08 Jun 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
112
777
0
30 May 2018
Enabling Pedestrian Safety using Computer Vision Techniques: A Case
  Study of the 2018 Uber Inc. Self-driving Car Crash
Enabling Pedestrian Safety using Computer Vision Techniques: A Case Study of the 2018 Uber Inc. Self-driving Car Crash
Puneet Kohli
Anjali Chadha
36
81
0
30 May 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Yonatan Geifman
Guy Uziel
Ran El-Yaniv
UQCV
51
137
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
62
1,377
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
42
560
0
17 Feb 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
54
1,336
0
16 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
584
0
13 Feb 2018
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
124
5,111
0
10 Nov 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
98
3,005
0
19 Oct 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous
  Cars
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
AAML
59
1,353
0
28 Aug 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
77
1,357
0
18 May 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
149
5,920
0
04 Mar 2017
Reconstruction-Based Disentanglement for Pose-invariant Face Recognition
Reconstruction-Based Disentanglement for Pose-invariant Face Recognition
Xi Peng
Xiang Yu
Kihyuk Sohn
Dimitris N. Metaxas
Manmohan Chandraker
CVBM
45
136
0
10 Feb 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and
  Generative Adversarial Networks
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
BDL
100
529
0
17 Jan 2017
Disentangling Space and Time in Video with Hierarchical Variational
  Auto-encoders
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders
Will Grathwohl
Aaron Wilson
DRL
46
21
0
14 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
550
5,748
0
05 Dec 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
63
4,153
0
25 Apr 2016
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
82
2,224
0
18 Nov 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
211
5,177
0
10 Feb 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
393
16,962
0
20 Dec 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
196
12,384
0
24 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
302
7,883
0
13 Jun 2012
Plug-in martingales for testing exchangeability on-line
Plug-in martingales for testing exchangeability on-line
Valentina Fedorova
A. Gammerman
I. Nouretdinov
V. Vovk
54
71
0
15 Apr 2012
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