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Multi-Head Multi-Loss Model Calibration

Multi-Head Multi-Loss Model Calibration

2 March 2023
Adrian Galdran
Johan W. Verjans
G. Carneiro
M. A. G. Ballester
    UQCV
ArXivPDFHTML

Papers citing "Multi-Head Multi-Loss Model Calibration"

7 / 7 papers shown
Title
Beyond H&E: Unlocking Pathological Insights with Polarization via Self-supervised Learning
Yao Du
Jiaxin Zhuang
Xiaoyu Zheng
Jing Cong
Limei Guo
Chao He
Lin Luo
Xiaomeng Li
MedIm
48
1
0
05 Mar 2025
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye
  Fundus Images
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images
Adrian Galdran
M. A. G. Ballester
31
0
0
06 Jun 2024
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Siladittya Manna
Soumitri Chattopadhyay
Rakesh Dey
Saumik Bhattacharya
Umapada Pal
30
1
0
02 Aug 2023
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
29
77
0
05 Oct 2022
Analysis and Comparison of Classification Metrics
Analysis and Comparison of Classification Metrics
Luciana Ferrer
29
19
0
12 Sep 2022
Test-time Adaptation with Calibration of Medical Image Classification
  Nets for Label Distribution Shift
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Wenao Ma
Cheng Chen
Shuang Zheng
Jin Qin
Huimao Zhang
Qi Dou
OOD
126
19
0
02 Jul 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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