Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks

9 June 2023

Papers citing "Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks"

6 / 6 papers shown

Title
A Cheap Bootstrap Method for Fast Inference Henry Lam 31 11 0 31 Jan 2022
Quantifying Epistemic Uncertainty in Deep Learning Ziyi Huang Henry Lam Haofeng Zhang UQCV BDL UD PER 24 12 0 23 Oct 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network Mo Zhou Rong Ge Chi Jin 79 45 0 04 Feb 2021
Scalable Uncertainty for Computer Vision with Functional Variational Inference Eduardo D C Carvalho R. Clark Andrea Nicastro Paul H. J. Kelly BDL UQCV 227 22 0 06 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015