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Confidence Calibration of Classifiers with Many Classes
v1v2 (latest)

Confidence Calibration of Classifiers with Many Classes

Neural Information Processing Systems (NeurIPS), 2024
5 November 2024
Adrien LeCoz
Stéphane Herbin
Faouzi Adjed
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Confidence Calibration of Classifiers with Many Classes"

5 / 5 papers shown
Title
Multiclass Local Calibration With the Jensen-Shannon Distance
Multiclass Local Calibration With the Jensen-Shannon Distance
Cesare Barbera
Lorenzo Perini
Giovanni De Toni
Andrea Passerini
Andrea Pugnana
UQCV
219
0
0
30 Oct 2025
What Does It Take to Build a Performant Selective Classifier?
What Does It Take to Build a Performant Selective Classifier?
Stephan Rabanser
Nicolas Papernot
130
0
0
23 Oct 2025
Newton-Puiseux Analysis for Interpretability and Calibration of Complex-Valued Neural Networks
Newton-Puiseux Analysis for Interpretability and Calibration of Complex-Valued Neural NetworksNeural Networks (NN), 2025
Piotr Migus
135
0
0
27 Apr 2025
Optimizing Calibration by Gaining Aware of Prediction Correctness
Optimizing Calibration by Gaining Aware of Prediction Correctness
Yuchi Liu
Lei Wang
Yuli Zou
James Zou
Liang Zheng
UQCV
375
6
0
19 Apr 2024
Calibration in Deep Learning: A Survey of the State-of-the-Art
Calibration in Deep Learning: A Survey of the State-of-the-Art
Cheng Wang
UQCV
416
67
0
02 Aug 2023
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