To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions

14 April 2021

Papers citing "To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions"

6 / 6 papers shown

Title
Code-Driven Law NO, Normware SI! Giovanni Sileno AILaw 39 0 0 05 Oct 2024
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 36 40 0 22 Aug 2022
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions Eoin Delaney Derek Greene Mark T. Keane 38 24 0 20 Jul 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 259 3,698 0 28 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 280 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015