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Calibrated neighborhood aware confidence measure for deep metric
  learning

Calibrated neighborhood aware confidence measure for deep metric learning

8 June 2020
Maryna Karpusha
Sunghee Yun
István Fehérvári
    UQCV
    FedML
ArXivPDFHTML

Papers citing "Calibrated neighborhood aware confidence measure for deep metric learning"

4 / 4 papers shown
Title
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Sangdon Park
Osbert Bastani
Nikolai Matni
Insup Lee
UQCV
131
68
0
31 Dec 2019
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
186
272
0
03 Dec 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,833
0
08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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