Calibration of Model Uncertainty for Dropout Variational Inference

Calibration of Model Uncertainty for Dropout Variational Inference

20 June 2020

Karl-Philipp Kortmann

Papers citing "Calibration of Model Uncertainty for Dropout Variational Inference"

13 / 13 papers shown

Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms Uddeshya Upadhyay S. Bade Arjun Puranik S. Asfahan Melwin Babu ... S. Asirvatham Ashim Prasad A. Rajasekharan S. Awasthi R. Barve OOD 23 3 0 23 Nov 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 16 4 0 17 Aug 2023
An Uncertainty Aided Framework for Learning based Liver $T_1ρ$ Mapping and Analysis Chaoxing Huang V. Wong Queenie Chan Winnie Chiu Wing Chu Weitian Chen MedIm 19 2 0 06 Jul 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning Jianfeng Wang Xiaolin Hu Thomas Lukasiewicz AAML BDL 28 0 0 31 Jan 2023
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 32 22 0 14 Jul 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang Thomas Lukasiewicz Daniela Massiceti Xiaolin Hu Vladimir Pavlovic A. Neophytou BDL 63 42 0 03 Jul 2022
Autoencoder Attractors for Uncertainty Estimation S. Cruz B. Taetz Thomas Stifter D. Stricker UQCV 31 9 0 01 Apr 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 34 1 0 30 Dec 2021
Weight Pruning and Uncertainty in Radio Galaxy Classification Devina Mohan A. Scaife UQCV 18 0 0 23 Nov 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 42 1,877 0 12 Nov 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015