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Topological Structure Learning for Weakly-Supervised Out-of-Distribution
  Detection

Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection

16 September 2022
Rundong He
Rong Li
Zhongyi Han
Yilong Yin
ArXivPDFHTML

Papers citing "Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection"

14 / 14 papers shown
Title
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
138
1
0
05 Feb 2025
POEM: Out-of-Distribution Detection with Posterior Sampling
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming
Ying Fan
Yixuan Li
OODD
65
117
0
28 Jun 2022
Gradient-based Novelty Detection Boosted by Self-supervised Binary
  Classification
Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification
Jingbo Sun
Li Yang
Jiaxin Zhang
Frank Liu
M. Halappanavar
Deliang Fan
Yu Cao
30
12
0
18 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection
Provable Guarantees for Understanding Out-of-distribution Detection
Peyman Morteza
Yixuan Li
OODD
89
92
0
01 Dec 2021
Semantically Coherent Out-of-Distribution Detection
Semantically Coherent Out-of-Distribution Detection
Jingkang Yang
Haoqi Wang
Xue Jiang
Xiaopeng Yan
Huabin Zheng
Wayne Zhang
Ziwei Liu
OODD
74
128
0
26 Aug 2021
Out of Distribution Detection and Adversarial Attacks on Deep Neural
  Networks for Robust Medical Image Analysis
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis
Anisie Uwimana
Ransalu Senanayake
OOD
MedIm
40
21
0
10 Jul 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
52
311
0
08 Jun 2021
Out-of-Distribution Detection for Automotive Perception
Out-of-Distribution Detection for Automotive Perception
Julia Nitsch
Masha Itkina
Ransalu Senanayake
Juan I. Nieto
M. Schmidt
Roland Siegwart
Mykel J. Kochenderfer
Cesar Cadena
UQCV
59
63
0
03 Nov 2020
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
263
1,349
0
08 Oct 2020
Likelihood Regret: An Out-of-Distribution Detection Score For
  Variational Auto-encoder
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
Zhisheng Xiao
Qing Yan
Y. Amit
OODD
138
193
0
06 Mar 2020
Unsupervised Out-of-Distribution Detection by Maximum Classifier
  Discrepancy
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
Qing Yu
Kiyoharu Aizawa
OODD
47
166
0
14 Aug 2019
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
174
720
0
07 Jun 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
173
1,476
0
11 Dec 2018
An Analysis of Deep Neural Network Models for Practical Applications
An Analysis of Deep Neural Network Models for Practical Applications
A. Canziani
Adam Paszke
Eugenio Culurciello
85
1,167
0
24 May 2016
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