Attribution of Predictive Uncertainties in Classification Models

19 July 2021

Papers citing "Attribution of Predictive Uncertainties in Classification Models"

6 / 6 papers shown

Title
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems Iker Perez Jason Wong Piotr Skalski Stuart Burrell Richard Mortier Derek McAuley David Sutton FedML 17 1 0 03 Jan 2024
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 56 1 0 12 Dec 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning Hanjing Wang D. Joshi Shiqiang Wang Q. Ji UQCV BDL 16 6 0 10 Apr 2023
Explaining Predictive Uncertainty by Looking Back at Model Explanations Hanjie Chen Wanyu Du Yangfeng Ji 25 2 0 11 Jan 2022
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 82 70 0 02 Mar 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 54 55 0 16 Feb 2021