Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1909.10155
Cited By
v1
v2 (latest)
Verified Uncertainty Calibration
Neural Information Processing Systems (NeurIPS), 2019
23 September 2019
Ananya Kumar
Abigail Z. Jacobs
Tengyu Ma
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Verified Uncertainty Calibration"
50 / 266 papers shown
Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
Christian Hobelsberger
Theresa Winner
Andreas Nawroth
Oliver Mitevski
Anna-Carolina Haensch
ELM
137
0
0
23 Oct 2025
Calibration and Discrimination Optimization Using Clusters of Learned Representation
Tomer Lavi
Bracha Shapira
Nadav Rappoport
109
0
0
22 Oct 2025
Uncertainty evaluation of segmentation models for Earth observation
Melanie Rey
Andriy Mnih
Maxim Neumann
Matt Overlan
Drew Purves
UQCV
197
0
0
22 Oct 2025
Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applications
Xiao Ye
Jacob Dineen
Zhaonan Li
Zhikun Xu
Weiyu Chen
...
Ji-Eun Irene Yum
Muhammad Ali Khan
Muhammad Umar Afzal
Irbaz B. Riaz
Ben Zhou
LM&MA
ELM
190
1
0
20 Oct 2025
L
2
L_2
L
2
-Regularized Empirical Risk Minimization Guarantees Small Smooth Calibration Error
Masahiro Fujisawa
Futoshi Futami
115
0
0
15 Oct 2025
A Function Centric Perspective On Flat and Sharp Minima
Israel Mason-Williams
Gabryel Mason-Williams
Helen Yannakoudakis
174
0
0
14 Oct 2025
Anytime-Valid Answer Sufficiency Certificates for LLM Generation via Sequential Information Lift
Sanjeda Akter
Ibne Farabi Shihab
Anuj Sharma
138
0
0
07 Oct 2025
Probability calibration for precipitation nowcasting
Lauri Kurki
Yaniel Cabrera
Samu Karanko
112
0
0
01 Oct 2025
Bayesian Neural Networks for Functional ANOVA model
Seokhun Park
Choeun Kim
Jihu Lee
Yunseop Shin
Insung Kong
Yongdai Kim
117
0
0
01 Oct 2025
Calibration Meets Reality: Making Machine Learning Predictions Trustworthy
Kristina P. Sinaga
Arjun S. Nair
96
1
0
28 Sep 2025
Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift
Behraj Khan
T. Syed
MedIm
92
0
0
27 Sep 2025
Sample-efficient Multiclass Calibration under
ℓ
p
\ell_{p}
ℓ
p
Error
Konstantina Bairaktari
Huy Le Nguyen
83
0
0
26 Sep 2025
Confidence Calibration in Large Language Model-Based Entity Matching
Iris Kamsteeg
Juan Cardenas-Cartagena
Floris van Beers
Gineke ten Holt
Tsegaye Misikir Tashu
Matias Valdenegro-Toro
111
0
0
23 Sep 2025
Protected Probabilistic Classification Library
Ivan Petej
106
0
0
14 Sep 2025
Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling
Y. Sun
Faming Liang
UQCV
129
0
0
02 Aug 2025
Uncertainty Quantification for Evaluating Machine Translation Bias
Ieva Staliunaite
Julius Cheng
Andreas Vlachos
UQLM
308
1
0
24 Jul 2025
Confidence Calibration in Vision-Language-Action Models
Thomas P. Zollo
R. Zemel
149
1
0
23 Jul 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
279
0
0
01 Jul 2025
Bayesian Inference for Correlated Human Experts and Classifiers
Markelle Kelly
Alex Boyd
Sam Showalter
M. Steyvers
Padhraic Smyth
160
0
0
05 Jun 2025
Revisiting Reweighted Risk for Calibration: AURC, Focal, and Inverse Focal Loss
Han Zhou
Sebastian G.Gruber
Teodora Popordanoska
Matthew B. Blaschko
483
0
0
29 May 2025
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
Long Hui
148
1
0
28 May 2025
Practical estimation of the optimal classification error with soft labels and calibration
Ryota Ushio
Takashi Ishida
Masashi Sugiyama
281
1
0
27 May 2025
CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
Jiameng Li
Teodora Popordanoska
A. Tiulpin
Sebastian G. Gruber
F. Maes
Matthew B. Blaschko
238
0
0
26 May 2025
Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)
Research Square (RS), 2025
Zhongnan Fang
Andrew Johnston
Lina Cheuy
Hye Sun Na
Magdalini Paschali
...
Derrick Laurel
Andrew Walker Campion
Michael Iv
Akshay S. Chaudhari
David B. Larson
265
1
0
16 May 2025
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Jiancong Xiao
Bojian Hou
Zhanliang Wang
Ruochen Jin
Q. Long
Weijie Su
Li Shen
473
14
0
04 May 2025
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
401
3
0
02 May 2025
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
627
2
0
25 Apr 2025
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
The Web Conference (WWW), 2022
Siguang Huang
Yunli Wang
Lili Mou
Huayue Zhang
Ziru Xu
Chuan Yu
Bo Zheng
376
16
0
13 Mar 2025
We Care Each Pixel: Calibrating on Medical Segmentation Model
Wenhao Liang
Wei Emma Zhang
Y. Lin
Miao Xu
Olaf Maennel
Weitong Chen
280
1
0
07 Mar 2025
Optimizing Estimators of Squared Calibration Errors in Classification
Sebastian G. Gruber
Francis Bach
449
3
0
24 Feb 2025
The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration
Wei Yao
Wenkai Yang
Liang Luo
Yankai Lin
Yong Liu
Yong Liu
ELM
952
3
0
03 Feb 2025
Rethinking Early Stopping: Refine, Then Calibrate
Eugene Berta
David Holzmüller
Michael I. Jordan
Francis Bach
370
5
0
31 Jan 2025
HopCast: Calibration of Autoregressive Dynamics Models
Muhammad Bilal Shahid
Cody H. Fleming
UQCV
473
1
0
27 Jan 2025
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild
Ecological Informatics (EI), 2024
Jannik Elsäßer
Laura Weihl
Veronika Cheplygina
Lisbeth Tangaa Nielsen
442
0
0
20 Dec 2024
Confidence Calibration of Classifiers with Many Classes
Neural Information Processing Systems (NeurIPS), 2024
Adrien LeCoz
Stéphane Herbin
Faouzi Adjed
UQCV
336
8
0
05 Nov 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
International Conference on Learning Representations (ICLR), 2024
Dingyi Zhuang
Chonghe Jiang
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
UQCV
342
1
0
12 Oct 2024
Improving Predictor Reliability with Selective Recalibration
Thomas P. Zollo
Zhun Deng
Jake C. Snell
T. Pitassi
Richard Zemel
OOD
205
3
0
07 Oct 2024
Calibrating Expressions of Certainty
International Conference on Learning Representations (ICLR), 2024
Peiqi Wang
Barbara D. Lam
Yingcheng Liu
Ameneh Asgari-Targhi
Yikang Shen
W. Wells
Tina Kapur
Polina Golland
264
5
0
06 Oct 2024
Distribution Guided Active Feature Acquisition
Yang Li
Junier Oliva
282
1
0
04 Oct 2024
Calibrating Language Models with Adaptive Temperature Scaling
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Johnathan Xie
Annie S. Chen
Yoonho Lee
Eric Mitchell
Chelsea Finn
246
34
0
29 Sep 2024
A Survey on the Honesty of Large Language Models
Siheng Li
Cheng Yang
Taiqiang Wu
Chufan Shi
Yuji Zhang
...
Jie Zhou
Yujiu Yang
Ngai Wong
Xixin Wu
Wai Lam
HILM
297
18
0
27 Sep 2024
Efficient Fairness-Performance Pareto Front Computation
Mark Kozdoba
Binyamin Perets
Shie Mannor
337
0
0
26 Sep 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Dingyi Zhuang
Yuheng Bu
Guang Wang
Shenhao Wang
Jinhua Zhao
BDL
175
5
0
13 Sep 2024
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation
Machine Learning for Biomedical Imaging (MLBI), 2024
P. Mody
Nicolas F. Chaves-de-Plaza
Chinmay Rao
Eleftheria Astrenidou
M. de Ridder
N. Hoekstra
Klaus Hildebrandt
Marius Staring
UQCV
297
1
0
05 Sep 2024
ForeCal: Random Forest-based Calibration for DNNs
Dhruv Nigam
UQCV
129
0
0
04 Sep 2024
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration
Luciana Ferrer
Daniel Ramos
UQCV
197
8
0
05 Aug 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
328
1
0
02 Aug 2024
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
M. Herde
Denis Huseljic
Lukas Rauch
Bernhard Sick
300
3
0
30 Jul 2024
Multimodal Label Relevance Ranking via Reinforcement Learning
Taian Guo
Taolin Zhang
Haoqian Wu
Hanjun Li
Ruizhi Qiao
Xing Sun
OffRL
186
1
0
18 Jul 2024
Stochastic Concept Bottleneck Models
Moritz Vandenhirtz
Sonia Laguna
Ricards Marcinkevics
Julia E. Vogt
285
30
0
27 Jun 2024
1
2
3
4
5
6
Next