A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models

10 January 2022

Papers citing "A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models"

6 / 6 papers shown

Title
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications F. Arnez H. Espinoza A. Radermacher Franccois Terrier UQCV 40 29 0 26 Jun 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 187 1,388 0 21 Oct 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression S. Hamid Rezatofighi Deyuan Li JunYoung Gwak Amir Sadeghian Ian Reid Silvio Savarese 136 4,114 0 25 Feb 2019
Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview Michael Kläs 16 11 0 28 Nov 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 124 5,111 0 10 Nov 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 578 5,748 0 05 Dec 2016