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"

13 / 13 papers shown

Title
Robust Invariant Representation Learning by Distribution Extrapolation Kotaro Yoshida Konstantinos Slavakis OOD 70 0 0 22 May 2025
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 158 3 0 17 Jul 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions Yihua Zhang Pranay Sharma Parikshit Ram Min-Fong Hong Kush R. Varshney Sijia Liu 55 13 0 04 Mar 2023
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 91 69 0 31 Dec 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 98 365 0 15 Jun 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 57 268 0 11 Jun 2021
Out of Distribution Generalization in Machine Learning Martín Arjovsky OOD CML 40 93 0 03 Mar 2021
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 76 1,143 0 02 Jul 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 201 2,049 0 16 Apr 2020
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning Andreas Kirsch Clare Lyle Y. Gal 62 16 0 27 Mar 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 81 461 0 21 Feb 2020
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 159 1,691 0 06 Jun 2019
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 366 9,484 0 28 May 2015