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One step closer to unbiased aleatoric uncertainty estimation

One step closer to unbiased aleatoric uncertainty estimation

16 December 2023
Wang Zhang
Ziwen Ma
Subhro Das
Tsui-Wei Weng
Alexandre Megretski
Lucani E. Daniel
Lam M. Nguyen
ArXivPDFHTML

Papers citing "One step closer to unbiased aleatoric uncertainty estimation"

4 / 4 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
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
146
0
0
04 May 2025
Unleashing Text-to-Image Diffusion Models for Visual Perception
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao
Yongming Rao
Zuyan Liu
Benlin Liu
Jie Zhou
Jiwen Lu
ObjD
VLM
MDE
163
217
0
03 Mar 2023
On the Number of Linear Functions Composing Deep Neural Network: Towards
  a Refined Definition of Neural Networks Complexity
On the Number of Linear Functions Composing Deep Neural Network: Towards a Refined Definition of Neural Networks Complexity
Yuuki Takai
Akiyoshi Sannai
Matthieu Cordonnier
77
4
0
23 Oct 2020
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
9,145
0
06 Jun 2015
1