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Quantifying Distribution Shifts and Uncertainties for Enhanced Model
  Robustness in Machine Learning Applications

Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications

3 May 2024
Vegard Flovik
    OOD
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Papers citing "Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications"

1 / 1 papers shown
Title
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction
Xiayin Lou
Peng Luo
Liqiu Meng
197
0
0
05 Dec 2024
1