A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications

26 June 2020

Papers citing "A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications"

8 / 8 papers shown

Title
Deep Modeling of Non-Gaussian Aleatoric Uncertainty Aastha Acharya Caleb Lee Marissa DÁlonzo Jared Shamwell Nisar R. Ahmed Rebecca L. Russell BDL 41 0 0 30 May 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 11 4 0 17 Aug 2023
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry M. Penrod Harrison Termotto Varshini Reddy Jiayu Yao Finale Doshi-Velez Weiwei Pan AAML OOD 35 1 0 02 Aug 2022
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception Janek Groß R. Adler Michael Kläs Jan Reich Lisa Jöckel Roman Gansch AI4CE 10 5 0 14 Jun 2022
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models Pascal Gerber Lisa Jöckel Michael Kläs 19 4 0 10 Jan 2022
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 19 7 0 26 Oct 2021
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 Y. Gal Zoubin Ghahramani UQCV BDL 267 9,136 0 06 Jun 2015