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Semi-supervised novelty detection using ensembles with regularized
  disagreement
v1v2v3 (latest)

Semi-supervised novelty detection using ensembles with regularized disagreement

Conference on Uncertainty in Artificial Intelligence (UAI), 2020
10 December 2020
A. Tifrea
E. Stavarache
Fanny Yang
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised novelty detection using ensembles with regularized disagreement"

5 / 5 papers shown
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS
Hao Fu
Tunhou Zhang
Hai Li
Yiran Chen
216
0
0
04 Jun 2024
Conservative Prediction via Data-Driven Confidence Minimization
Conservative Prediction via Data-Driven Confidence Minimization
Caroline Choi
Fahim Tajwar
Yoonho Lee
Huaxiu Yao
Ananya Kumar
Chelsea Finn
245
7
0
08 Jun 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution
  uncertainty quantification
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OODUQCV
272
6
0
08 Apr 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
428
21
0
01 Feb 2023
Beyond Bayes-optimality: meta-learning what you know you don't know
Beyond Bayes-optimality: meta-learning what you know you don't know
Jordi Grau-Moya
Grégoire Delétang
M. Kunesch
Tim Genewein
Elliot Catt
...
Jane X. Wang
Marcus Hutter
Christopher Summerfield
Shane Legg
Pedro A. Ortega
253
2
0
30 Sep 2022
1
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