Post-hoc Uncertainty Learning using a Dirichlet Meta-Model

14 December 2022

Papers citing "Post-hoc Uncertainty Learning using a Dirichlet Meta-Model"

20 / 20 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 104 0 0 04 May 2025
Bi-directional Model Cascading with Proxy Confidence David Warren Mark Dras 44 0 0 27 Apr 2025
Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis Sabeen Ahmed Nathan Parker Margaret Park Daniel Jeong Lauren Peres ... Jennifer B. Permuth Erin Siegel M. Schabath Yasin Yilmaz Ghulam Rasool 45 0 0 19 Mar 2025
Revisiting Essential and Nonessential Settings of Evidential Deep Learning Mengyuan Chen Junyu Gao Changsheng Xu EDL 43 1 0 01 Oct 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks Dingyi Zhuang Yuheng Bu Guang Wang Shenhao Wang Jinhua Zhao BDL 32 1 0 13 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 42 5 0 07 Sep 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen Jeonghun Ryu Soumya Ghosh Yuheng Bu P. Sattigeri Subhro Das Greg Wornell EDL BDL UQCV 33 2 0 09 Feb 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 29 12 0 05 Dec 2023
Uncertainty-aware Language Modeling for Selective Question Answering Qi Yang Shreya Ravikumar F. Schmitt-Ulms S. Lolla Ege Demir ... Sadhana Lolla Elaheh Ahmadi Daniela Rus Alexander Amini Alejandro Perez 16 7 0 26 Nov 2023
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling Bairu Hou Yujian Liu Kaizhi Qian Jacob Andreas Shiyu Chang Yang Zhang UD UQCV PER 26 48 0 15 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
Machine Learning for Infectious Disease Risk Prediction: A Survey Mutong Liu Yang Liu Jiming Liu LM&MA AI4CE 18 0 0 06 Aug 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks L. F. P. Cattelan Danilo Silva UQCV 27 5 0 24 May 2023
MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations Marlene D. Berke Zhangir Azerbayev M. Belledonne Zenna Tavares J. Jara-Ettinger 16 1 0 06 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 45 48 0 06 Oct 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 202 81 0 16 Feb 2021
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 161 84 0 21 Mar 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 292 10,618 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 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