Post-hoc Models for Performance Estimation of Machine Learning Inference

6 October 2021

Papers citing "Post-hoc Models for Performance Estimation of Machine Learning Inference"

4 / 4 papers shown

Title
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns Hakan Yekta Yatbaz M. Dianati K. Koufos Roger Woodman 3DPC 21 2 0 11 Apr 2024
Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations Hakan Yekta Yatbaz M. Dianati K. Koufos Roger Woodman 40 3 0 02 Mar 2024
From Black-box to White-box: Examining Confidence Calibration under different Conditions Franziska Schwaiger Maximilian Henne Fabian Küppers Felippe Schmoeller da Roza Karsten Roscher Anselm Haselhoff 34 10 0 08 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016