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Verified Uncertainty Calibration

23 September 2019

Papers citing "Verified Uncertainty Calibration"

32 / 32 papers shown

Title
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration Siguang Huang Yunli Wang Lili Mou Huayue Zhang Ziru Xu Chuan Yu Bo Zheng 178 15 0 13 Mar 2025
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 222 2 0 24 Feb 2025
HopCast: Calibration of Autoregressive Dynamics Models Muhammad Bilal Shahid Cody H. Fleming UQCV 135 0 0 27 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 219 2 0 03 Jan 2025
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Jannik Elsäßer Laura Weihl Veronika Cheplygina Lisbeth Tangaa Nielsen 158 0 0 20 Dec 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 107 0 0 12 Oct 2024
Calibrating Expressions of Certainty Peiqi Wang Barbara D. Lam Yingcheng Liu Ameneh Asgari-Targhi Yikang Shen W. Wells Tina Kapur Polina Golland 94 2 0 06 Oct 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models M. Chidambaram Rong Ge 104 2 0 06 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 150 1 0 04 Jun 2024
Information-theoretic Generalization Analysis for Expected Calibration Error Futoshi Futami Masahiro Fujisawa UQCV CML 167 4 0 24 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip Torr Adel Bibi AAML 103 1 0 22 May 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 89 2 0 19 Apr 2024
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 109 1 0 04 Mar 2024
Incoherent Probability Judgments in Large Language Models Jian-Qiao Zhu Thomas Griffiths 133 8 0 30 Jan 2024
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 147 2 0 23 Nov 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 93 0 0 23 Mar 2023
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers Markus Kängsepp Kaspar Valk Meelis Kull 79 3 0 16 Mar 2022
Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited Timo Dimitriadis T. Gneiting Alexander I. Jordan 60 63 0 07 Aug 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 211 451 0 17 Jun 2020
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration Meelis Kull Miquel Perelló Nieto Markus Kängsepp Telmo de Menezes e Silva Filho Hao Song Peter A. Flach UQCV 78 382 0 28 Oct 2019
Calibration tests in multi-class classification: A unifying framework David Widmann Fredrik Lindsten Dave Zachariah 81 94 0 24 Oct 2019
Calibrated Model-Based Deep Reinforcement Learning Ali Malik Volodymyr Kuleshov Jiaming Song Danny Nemer Harlan Seymour Stefano Ermon 145 55 0 19 Jun 2019
Measuring Calibration in Deep Learning Jeremy Nixon Michael W. Dusenberry Ghassen Jerfel Timothy Nguyen Jeremiah Zhe Liu Linchuan Zhang Dustin Tran UQCV 77 491 0 02 Apr 2019
Evaluating model calibration in classification Juozas Vaicenavicius David Widmann Carl R. Andersson Fredrik Lindsten Jacob Roll Thomas B. Schon UQCV 157 199 0 19 Feb 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 76 726 0 28 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 198 636 0 01 Jul 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,862 0 14 Jun 2017
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 405 844 0 14 Apr 2016
Posterior calibration and exploratory analysis for natural language processing models Khanh Nguyen Brendan O'Connor 159 139 0 21 Aug 2015
Binary Classifier Calibration: Non-parametric approach Mahdi Pakdaman Naeini G. Cooper Milos Hauskrecht 91 17 0 14 Jan 2014
A tutorial on conformal prediction Glenn Shafer V. Vovk 452 1,148 0 21 Jun 2007