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On Calibrated Model Uncertainty in Deep Learning

On Calibrated Model Uncertainty in Deep Learning

15 June 2022
Biraja Ghoshal
A. Tucker
    UQCVMedIm
ArXiv (abs)PDFHTML

Papers citing "On Calibrated Model Uncertainty in Deep Learning"

12 / 12 papers shown
Title
COVID-19 Image Data Collection
COVID-19 Image Data Collection
Joseph Paul Cohen
Paul Morrison
Lan Dao
74
1,011
0
25 Mar 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
Dinggang Shen
Yuxin Shi
140
578
0
10 Mar 2020
Beyond temperature scaling: Obtaining well-calibrated multiclass
  probabilities with Dirichlet calibration
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull
Miquel Perelló Nieto
Markus Kängsepp
Telmo de Menezes e Silva Filho
Hao Song
Peter A. Flach
UQCV
73
381
0
28 Oct 2019
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout
  Variational Inference
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
M. Laves
Sontje Ihler
Karl-Philipp Kortmann
T. Ortmaier
UQCV
46
57
0
30 Sep 2019
Bayesian Modelling in Practice: Using Uncertainty to Improve
  Trustworthiness in Medical Applications
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications
David Ruhe
Giovanni Cina
Michele Tonutti
D. D. Bruin
Paul Elbers
OOD
46
13
0
20 Jun 2019
Non-Parametric Calibration for Classification
Non-Parametric Calibration for Classification
Jonathan Wenger
Hedvig Kjellström
Rudolph Triebel
UQCV
99
82
0
12 Jun 2019
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov
Nathan Fenner
Stefano Ermon
BDLUQCV
193
633
0
01 Jul 2018
Loss-Calibrated Approximate Inference in Bayesian Neural Networks
Loss-Calibrated Approximate Inference in Bayesian Neural Networks
Adam D. Cobb
Stephen J. Roberts
Y. Gal
BDLUQCV
65
43
0
10 May 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,833
0
14 Jun 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
172
4,826
0
26 Jan 2017
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 Mar 2016
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCVBDL
187
1,887
0
20 May 2015
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