Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation

14 December 2021

Papers citing "Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation"

28 / 28 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 110 0 0 04 May 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 142 0 0 28 Apr 2025
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 38 0 0 25 Apr 2025
Uncertainty in Action: Confidence Elicitation in Embodied Agents Tianjiao Yu Vedant Shah Muntasir Wahed Kiet A. Nguyen Adheesh Sunil Juvekar Tal August Ismini Lourentzou 51 0 0 13 Mar 2025
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 74 1 0 24 Feb 2025
Positional Encoder Graph Quantile Neural Networks for Geographic Data William E. R. de Amorim Scott A. Sisson Thaís Rodrigues David J. Nott G. S. Rodrigues 25 0 0 27 Sep 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift Gina Wong Joshua Gleason Ramalingam Chellappa Yoav Wald Anqi Liu OOD 43 0 0 25 Jul 2024
Probabilistic Calibration by Design for Neural Network Regression V. Dheur Souhaib Ben Taieb 35 3 0 18 Mar 2024
Model-Free Local Recalibration of Neural Networks R. Torres David J. Nott Scott A. Sisson T. Rodrigues J. G. Reis G. S. Rodrigues 32 1 0 09 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts H. Bui Anqi Liu OOD BDL UQCV 41 4 0 07 Mar 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 40 0 0 21 Feb 2024
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models Pei Wang Yejie Wang Muxi Diao Keqing He Guanting Dong Weiran Xu 24 0 0 17 Feb 2024
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees I. Tyukin T. Tyukina Daniel van Helden Zedong Zheng Evgeny M. Mirkes Oliver J. Sutton Qinghua Zhou Alexander N. Gorban Penelope Allison 21 1 0 31 Jan 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors Teodora Popordanoska Sebastian G. Gruber A. Tiulpin Florian Buettner Matthew B. Blaschko 25 3 0 14 Dec 2023
On the Calibration of Human Pose Estimation Kerui Gu Rongyu Chen Angela Yao 30 7 0 28 Nov 2023
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs Miao Xiong Zhiyuan Hu Xinyang Lu Yifei Li Jie Fu Junxian He Bryan Hooi 28 370 0 22 Jun 2023
Conformalizing Machine Translation Evaluation Chrysoula Zerva André F.T. Martins 19 3 0 09 Jun 2023
Proximity-Informed Calibration for Deep Neural Networks Miao Xiong Ailin Deng Pang Wei Koh Jiaying Wu Shen Li Jianqing Xu Bryan Hooi UQCV 19 12 0 07 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression V. Dheur Souhaib Ben Taieb BDL 33 13 0 05 Jun 2023
Calibrated and Conformal Propensity Scores for Causal Effect Estimation Shachi Deshpande Volodymyr Kuleshov CML 14 1 0 01 Jun 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement Ailin Deng Miao Xiong Bryan Hooi 38 6 0 02 May 2023
Calibrated Regression Against An Adversary Without Regret Shachi Deshpande Charles Marx Volodymyr Kuleshov 22 0 0 23 Feb 2023
Sharp Calibrated Gaussian Processes A. Capone Geoff Pleiss Sandra Hirche UQCV 36 4 0 23 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 13 6 0 13 Feb 2023
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 19 4 0 14 Jan 2023
Classifier Calibration: A survey on how to assess and improve predicted class probabilities Telmo de Menezes e Silva Filho Hao Song Miquel Perelló Nieto Raúl Santos-Rodríguez Meelis Kull Peter A. Flach 37 79 0 20 Dec 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015