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2211.12717
Cited By
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
23 November 2022
Neil Band
Tim G. J. Rudner
Qixuan Feng
Angelos Filos
Zachary Nado
Michael W. Dusenberry
Ghassen Jerfel
Dustin Tran
Y. Gal
OOD
UQCV
BDL
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Papers citing
"Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks"
13 / 13 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
110
0
0
04 May 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCV
BDL
92
12
0
28 Jan 2025
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Daniel Paulin
P. Whalley
Neil K. Chada
B. Leimkuhler
BDL
49
4
0
14 Oct 2024
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs
Shuang Ao
Stefan Rueger
Advaith Siddharthan
33
1
0
05 Jun 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang
Fabio Cuzzolin
Keivan K1 Shariatmadar
David Moens
Hans Hallez
UQCV
BDL
83
0
0
23 May 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Yunzhen Feng
Tim G. J. Rudner
Nikolaos Tsilivis
Julia Kempe
AAML
BDL
43
1
0
27 Apr 2024
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts
Masoumeh Javanbakhat
Md Tasnimul Hasan
Cristoph Lippert
UQCV
OOD
26
1
0
10 Feb 2024
Uncertainty estimation in Deep Learning for Panoptic segmentation
Michael J. Smith
F. Ferrie
OOD
UQCV
35
0
0
04 Apr 2023
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift
Tong Xia
Jing Han
Cecilia Mascolo
OOD
21
10
0
16 Dec 2021
A framework for benchmarking uncertainty in deep regression
F. Schmähling
Jörg Martin
Clemens Elster
UQCV
35
8
0
10 Sep 2021
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
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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