Well-calibrated Model Uncertainty with Temperature Scaling for Dropout
Variational Inference

Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference

30 September 2019

Karl-Philipp Kortmann

Papers citing "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference"

16 / 16 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 94 0 0 25 Apr 2025
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 61 0 0 09 Feb 2025
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout Tal Zeevi Lawrence H. Staib J. Onofrey OOD UQCV 56 0 0 20 Jan 2025
Decoupling of neural network calibration measures D. Wolf Prasannavenkatesh Balaji Alexander Braun Markus Ulrich UQCV 44 3 0 04 Jun 2024
On Calibration of Modern Quantized Efficient Neural Networks Joe-Hwa Kuang Alexander Wong UQCV MQ 37 1 0 25 Sep 2023
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration Moussa Kassem Sbeyti Michelle Karg Christian Wirth Azarm Nowzad S. Albayrak 24 3 0 15 Jun 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement Soyeong Jeong Jinheon Baek Sung Ju Hwang Jong C. Park 29 2 0 10 Feb 2023
Rethinking Soft Label in Label Distribution Learning Perspective Seungbum Hong Jihun Yoon Bogyu Park Min-Kook Choi 36 0 0 31 Jan 2023
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 42 22 0 14 Jul 2022
On Calibrated Model Uncertainty in Deep Learning Biraja Ghoshal A. Tucker UQCV MedIm 30 10 0 15 Jun 2022
TransMorph: Transformer for unsupervised medical image registration Junyu Chen Eric C. Frey Yufan He W. Paul Segars Ye Li Yong Du ViT MedIm 43 307 0 19 Nov 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection Won-Jo Lee Seokhyun Byun Jooeun Kim Minje Park Kirill Chechil AI4TS 23 2 0 01 Jul 2021
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection Dennis Ulmer Giovanni Cina OODD 40 31 0 09 Dec 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015