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On Calibration of Mixup Training for Deep Neural Networks

On Calibration of Mixup Training for Deep Neural Networks

22 March 2020
Juan Maroñas
D. Ramos-Castro
Roberto Paredes Palacios
    UQCV
ArXivPDFHTML

Papers citing "On Calibration of Mixup Training for Deep Neural Networks"

4 / 4 papers shown
Title
Towards Improving Calibration in Object Detection Under Domain Shift
Towards Improving Calibration in Object Detection Under Domain Shift
Muhammad Akhtar Munir
M. H. Khan
M. Sarfraz
Mohsen Ali
16
22
0
15 Sep 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved
  Neural Network Calibration
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
R. Hebbalaguppe
Jatin Prakash
Neelabh Madan
Chetan Arora
UQCV
11
42
0
25 Mar 2022
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
270
5,660
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
279
9,136
0
06 Jun 2015
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