The Peril of Popular Deep Learning Uncertainty Estimation Methods

9 December 2021

Papers citing "The Peril of Popular Deep Learning Uncertainty Estimation Methods"

4 / 4 papers shown

Title
Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients Margerie Huet-Dastarac Dan Nguyen Steve B. Jiang John A. Lee A. M. Barragán-Montero OOD UQCV 42 0 0 30 Oct 2023
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation Kaisar Kushibar Víctor M. Campello Lidia Garrucho Moras Akis Linardos Petia Radeva Karim Lekadir UQCV 61 18 0 16 Mar 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Michael I. Jordan Tatjana Chavdarova AAML AI4CE 85 4 0 11 Feb 2022
Agree to Disagree: Diversity through Disagreement for Better Transferability Matteo Pagliardini Martin Jaggi Franccois Fleuret Sai Praneeth Karimireddy 94 75 0 09 Feb 2022