Learning Prediction Intervals for Model Performance

15 December 2020

Papers citing "Learning Prediction Intervals for Model Performance"

9 / 9 papers shown

Title
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance Milda Pocevičiūtė Gabriel Eilertsen Stina Garvin Claes Lundström 42 5 0 16 May 2024
Uncertainty Aware Neural Network from Similarity and Sensitivity H. M. D. Kabir S. Mondal Sadia Khanam Abbas Khosravi Shafin Rahman ... R. Alizadehsani Houshyar Asadi Shady M. K. Mohamed Saeid Nahavandi Usha R. Acharya AAML 28 4 0 27 Apr 2023
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model Maohao Shen Yuheng Bu P. Sattigeri S. Ghosh Subhro Das G. Wornell UQCV OOD BDL 13 31 0 14 Dec 2022
Uncertainty Quantification for Rule-Based Models Yusik Kim UQCV 12 0 0 03 Nov 2022
Performance Prediction Under Dataset Shift Simona Maggio Victor Bouvier L. Dreyfus-Schmidt OOD AI4TS 21 2 0 21 Jun 2022
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI S. Ghosh Q. V. Liao K. Ramamurthy Jirí Navrátil P. Sattigeri Kush R. Varshney Yunfeng Zhang 6 36 0 02 Jun 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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,267 0 09 Jun 2012