ZIN: When and How to Learn Invariance Without Environment Partition?

ZIN: When and How to Learn Invariance Without Environment Partition?

11 March 2022

Yong Lin

Peng Cui

Papers citing "ZIN: When and How to Learn Invariance Without Environment Partition?"

15 / 15 papers shown

Title
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization Yuanchao Wang Zhao-Rong Lai Tianqi Zhong 81 1 0 27 Feb 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wang Yuhang Zhou Zhixiong Zhang Qiguang Chen Yongqiang Chen James Cheng OODD 74 1 0 18 Feb 2025
Sebra: Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyath Abhra Chaudhuri Ajay Jaiswal Ziquan Liu Yunpeng Li Xiatian Zhu L. Yin CML 212 1 1 30 Jan 2025
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 43 0 0 04 Sep 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts Jinluan Yang Zhengyu Chen Teng Xiao Wenqiao Zhang Yong Lin Kun Kuang 63 1 0 18 Aug 2024
Invariant Risk Minimization Is A Total Variation Model Zhao-Rong Lai Wei-Wen Wang OOD 42 1 0 02 May 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 54 2 0 19 Dec 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 45 34 0 29 Oct 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 38 7 0 25 May 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 43 7 0 25 May 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 41 72 0 09 Dec 2022
Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge Sercan Ö. Arik Jinsung Yoon Ao Xu Laurent Itti Tomas Pfister OOD CML 34 2 0 13 Jun 2022
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 174 62 0 08 Dec 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 205 202 0 22 Mar 2020
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 215 908 0 02 Mar 2020