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A Consistent and Differentiable Lp Canonical Calibration Error Estimator

A Consistent and Differentiable Lp Canonical Calibration Error Estimator

13 October 2022
Teodora Popordanoska
Raphael Sayer
Matthew B. Blaschko
    UQCV
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Papers citing "A Consistent and Differentiable Lp Canonical Calibration Error Estimator"

8 / 8 papers shown
Title
Optimizing Estimators of Squared Calibration Errors in Classification
Optimizing Estimators of Squared Calibration Errors in Classification
Sebastian G. Gruber
Francis Bach
71
1
0
24 Feb 2025
Calibrating Expressions of Certainty
Calibrating Expressions of Certainty
Peiqi Wang
Barbara D. Lam
Yingcheng Liu
Ameneh Asgari-Targhi
Rameswar Panda
W. Wells
Tina Kapur
Polina Golland
32
1
0
06 Oct 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
M. Chidambaram
Rong Ge
66
1
0
06 Jun 2024
Calibration by Distribution Matching: Trainable Kernel Calibration
  Metrics
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
Charles Marx
Sofian Zalouk
Stefano Ermon
27
6
0
31 Oct 2023
Dual Focal Loss for Calibration
Dual Focal Loss for Calibration
Linwei Tao
Minjing Dong
Chang Xu
UQCV
37
26
0
23 May 2023
Minimum-Risk Recalibration of Classifiers
Minimum-Risk Recalibration of Classifiers
Zeyu Sun
Dogyoon Song
Alfred Hero
30
5
0
18 May 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
VLM
30
12
0
11 Feb 2023
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
252
36,362
0
25 Aug 2016
1