Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration

31 January 2024

Papers citing "Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration"

3 / 3 papers shown

Title
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 69 1 0 17 Jul 2023
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 199 759 0 02 Mar 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 129 8,353 0 28 May 2015