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Confidence estimation of classification based on the distribution of the
  neural network output layer

Confidence estimation of classification based on the distribution of the neural network output layer

14 October 2022
A. Taha
Leonhard Hennig
Petr Knoth
    UQCV
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Papers citing "Confidence estimation of classification based on the distribution of the neural network output layer"

3 / 3 papers shown
Title
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang
Zhenyi Lin
Qilong Wang
Pengfei Zhu
Qinghua Hu
26
11
0
13 Apr 2024
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD
  Detection, Calibration, and Accuracy
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
Stanislav Dereka
I. Karpukhin
Maksim Zhdanov
Sergey Kolesnikov
28
0
0
19 May 2023
Useful Confidence Measures: Beyond the Max Score
Useful Confidence Measures: Beyond the Max Score
G. Yona
Amir Feder
Itay Laish
71
5
0
25 Oct 2022
1