Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis

17 August 2021

Papers citing "Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis"

10 / 10 papers shown

Title
Realizable $H$ -Consistent and Bayes-Consistent Loss Functions for Learning to Defer Anqi Mao M. Mohri Yutao Zhong 38 8 0 18 Jul 2024
Learning To Guide Human Decision Makers With Vision-Language Models Debodeep Banerjee Stefano Teso Burcu Sayin Andrea Passerini 37 1 0 25 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor Aditya Patra Rajeev Verma Putra Manggala Eric Nalisnick 20 9 0 05 Mar 2024
Learning to Guide Human Experts via Personalized Large Language Models Debodeep Banerjee Stefano Teso Andrea Passerini LLMAG 16 0 0 11 Aug 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans Hussein Mozannar Hunter Lang Dennis L. Wei P. Sattigeri Subhro Das David Sontag 30 40 0 15 Jan 2023
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles Rajeev Verma Daniel Barrejón Eric Nalisnick UQCV 23 28 0 30 Oct 2022
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 41 31 0 19 Jul 2022
Learning-to-defer for sequential medical decision-making under uncertainty Shalmali Joshi S. Parbhoo Finale Doshi-Velez OffRL 37 6 0 13 Sep 2021
Machine Learning with a Reject Option: A survey Kilian Hendrickx Lorenzo Perini Dries Van der Plas Wannes Meert Jesse Davis MU 33 121 0 23 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016