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Bayesian Metric Learning for Uncertainty Quantification in Image
  Retrieval

Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval

2 February 2023
Frederik Warburg
M. Miani
Silas Brack
Søren Hauberg
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval"

4 / 4 papers shown
Title
Reparameterization invariance in approximate Bayesian inference
Reparameterization invariance in approximate Bayesian inference
Hrittik Roy
M. Miani
Carl Henrik Ek
Philipp Hennig
Marvin Pfortner
Lukas Tatzel
Søren Hauberg
BDL
47
8
0
05 Jun 2024
Probabilistic Embeddings for Cross-Modal Retrieval
Probabilistic Embeddings for Cross-Modal Retrieval
Sanghyuk Chun
Seong Joon Oh
Rafael Sampaio de Rezende
Yannis Kalantidis
Diane Larlus
UQCV
412
200
0
13 Jan 2021
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
276
5,661
0
05 Dec 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
9,138
0
06 Jun 2015
1