When is invariance useful in an Out-of-Distribution Generalization problem ?

4 August 2020

Papers citing "When is invariance useful in an Out-of-Distribution Generalization problem ?"

12 / 12 papers shown

Title
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Renzhe Xu K. Wang Bo Li 26 0 0 12 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Tianyi Zhou Qinghua Lu Shanshan Ye Jing Jiang OODD 105 1 0 02 May 2025
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection Mu Wang 32 0 0 23 Apr 2024
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 24 17 0 30 Oct 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 45 7 0 18 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 84 1 0 17 Jul 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 10 7 0 18 Dec 2022
Quantifying and Improving Transferability in Domain Generalization Guojun Zhang Han Zhao Yaoliang Yu Pascal Poupart 35 37 0 07 Jun 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 185 125 0 04 Jan 2021
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017