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Toward Metrics for Differentiating Out-of-Distribution Sets

Toward Metrics for Differentiating Out-of-Distribution Sets

18 October 2019
Mahdieh Abbasi
Changjian Shui
Arezoo Rajabi
Christian Gagné
R. Bobba
    OODD
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Papers citing "Toward Metrics for Differentiating Out-of-Distribution Sets"

3 / 3 papers shown
Title
Generatively Augmented Neural Network Watchdog for Image Classification
  Networks
Generatively Augmented Neural Network Watchdog for Image Classification Networks
Justin Bui
Glauco A. Amigo
R. Marks
26
0
0
07 Sep 2021
Self-supervised Robust Object Detectors from Partially Labelled Datasets
Self-supervised Robust Object Detectors from Partially Labelled Datasets
Mahdieh Abbasi
D. Laurendeau
Christian Gagné
ObjD
11
3
0
23 May 2020
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
273
5,660
0
05 Dec 2016
1