Tutorial: Safe and Reliable Machine Learning

15 April 2019

Papers citing "Tutorial: Safe and Reliable Machine Learning"

9 / 9 papers shown

Title
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 26 0 0 21 Jun 2024
Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction Adil Dahlan C. Zakka Abhinav Kumar Laura Tang R. Shad R. Fong W. Hiesinger 27 2 0 21 Nov 2023
Deployment of Image Analysis Algorithms under Prevalence Shifts Patrick Godau P. Kalinowski E. Christodoulou Annika Reinke M. Tizabi Luciana Ferrer Paul Jäger Lena Maier-Hein 34 9 0 22 Mar 2023
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees Jean Feng Alexej Gossmann B. Sahiner R. Pirracchio OOD 16 5 0 13 Oct 2021
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning Preethi Lahoti Krishna P. Gummadi G. Weikum 31 3 0 09 Sep 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases Md. Abdullah Al Alamin Gias Uddin 29 11 0 03 May 2021
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 17 337 0 17 Dec 2019
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning M. Sendak M. C. Elish M. Gao Joseph D. Futoma W. Ratliff M. Nichols A. Bedoya S. Balu Cara O'Brien HAI 19 167 0 19 Nov 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning Peter F. Schulam S. Saria OOD 24 103 0 02 Jan 2019