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

3 May 2024

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

4 / 4 papers shown

Title
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction Xiayin Lou Peng Luo Liqiu Meng 87 0 0 05 Dec 2024
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence Sharu Theresa Jose Osvaldo Simeone 38 16 0 13 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015