Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Renzhe Xu K. Wang Bo Li 31 0 0 12 May 2025
Soft causal learning for generalized molecule property prediction: An environment perspective Limin Li Kuo Yang Wenjie Du Pengkun Wang Zhengyang Zhou Yang Wang OOD AI4CE 56 0 0 07 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 168 1 0 02 May 2025
Subject Information Extraction for Novelty Detection with Domain Shifts Yangyang Qu Dazhi Fu Jicong Fan OOD 59 0 0 30 Apr 2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 66 0 0 29 Apr 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 67 1 0 24 Apr 2025
An XAI-based Analysis of Shortcut Learning in Neural Networks Phuong Quynh Le Jorg Schlotterer Christin Seifert AAML 29 0 0 22 Apr 2025
Invariant Learning with Annotation-free Environments Phuong Quynh Le Christin Seifert Jorg Schlotterer OOD 16 0 0 22 Apr 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Hongkang Li Yihua Zhang Shuai Zhang M. Wang Sijia Liu Pin-Yu Chen MoMe 69 2 0 15 Apr 2025
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models Gergely Németh Eros Fani Yeat Jeng Ng Barbara Caputo M. Lozano Nuria Oliver Novi Quadrianto FedML 31 0 0 15 Apr 2025
Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning Yonghui Yang Le Wu Yuxin Liao Zhuangzhuang He Pengyang Shao Richang Hong Meng Wang 34 0 0 14 Apr 2025
Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning Yichao Cai Yuhang Liu Erdun Gao T. Jiang Zhen Zhang Anton van den Hengel J. Shi 62 0 0 14 Apr 2025
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers Lili Zhao Qi Liu Wei-neng Chen L. Chen R.-H. Sun Min Hou Yang Wang Shijin Wang 28 0 0 14 Apr 2025
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization Lin Zhu Yifeng Yang Zichao Nie Yuan Gao VLM 28 0 0 13 Apr 2025
Towards LLMs Robustness to Changes in Prompt Format Styles Lilian Ngweta Kiran Kate Jason Tsay Yara Rizk AAML VLM 35 0 0 09 Apr 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby Boran Han Shuai Zhang Cuixiong Hu Yuyang Wang Yu-Xiang Wang OOD 50 0 0 09 Apr 2025
Intermediate Layer Classifiers for OOD generalization Arnas Uselis Seong Joon Oh OOD 51 0 0 07 Apr 2025
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images Hamza Riaz A. Smeaton 41 0 0 05 Apr 2025
Adaptive Classification of Interval-Valued Time Series Wan Tian Zhongfeng Qin AI4TS 36 0 0 04 Apr 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization Siqi Wang Aoming Liu Bryan A. Plummer OOD 36 0 0 03 Apr 2025
Generative Classifier for Domain Generalization Shaocong Long Qianyu Zhou X. Li Chenhao Ying Yunhai Tong Lizhuang Ma Yuan Luo Dacheng Tao 41 0 0 03 Apr 2025
Partial Transportability for Domain Generalization Kasra Jalaldoust Alexis Bellot Elias Bareinboim OOD 77 5 0 30 Mar 2025
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization Youngjun Song Youngsik Hwang Jonghun Lee Heechang Lee Dong-Young Lim AAML 49 0 0 30 Mar 2025
Fair Sufficient Representation Learning Xueyu Zhou Chun Yin IP Jian Huang FaML 40 0 0 29 Mar 2025
Feature Modulation for Semi-Supervised Domain Generalization without Domain Labels Venuri Amarasinghe Asini Jayakody Isun Randila Kalinga Bandara Chamuditha Jayanga Galappaththige Ranga Rodrigo 48 0 0 26 Mar 2025
Causal invariant geographic network representations with feature and structural distribution shifts Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 64 0 0 25 Mar 2025
A scalable gene network model of regulatory dynamics in single cells Paul Bertin J. Viviano Alejandro Tejada-Lapuerta Weixu Wang Stefan Bauer Fabian J. Theis Yoshua Bengio 38 0 0 25 Mar 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 141 0 0 24 Mar 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization Xiran Wang Jian Zhang Lei Qi Yinghuan Shi 50 0 0 23 Mar 2025
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation Hong Zheng Yucheng Chen Nan Mu Xiaoning Li 57 0 0 23 Mar 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 125 0 0 21 Mar 2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Alessandro Torcinovich Victor Jimenez Rodriguez Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 68 0 0 20 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui H. Zhang Chi Zhang 83 0 0 12 Mar 2025
Domain Adaptation and Entanglement: an Optimal Transport Perspective Okan Koç Alexander Soen Chao-Kai Chiang Masashi Sugiyama OOD AAML 67 0 0 11 Mar 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao Zhaoxuan Wu Jingtan Wang Pang Wei Koh Bryan Kian Hsiang Low OOD 53 2 0 10 Mar 2025
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets H. Q. Vo Samira Zare S. Ly Lin Wang Chika F. Ezeana Xiaohui Yu Kelvin K. Wong Stephen T. C. Wong H. Nguyen OOD 49 0 0 09 Mar 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data Zengqun Zhao Ziquan Liu Yu Cao Shaogang Gong Ioannis Patras 50 0 0 07 Mar 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families Louis McConnell OOD CML 50 0 0 06 Mar 2025
Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning Haoze Li Jun Xie CML 56 0 0 05 Mar 2025
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments Hanyu Duan Yi Yang Ahmed Abbasi K. Tam OOD 92 0 0 05 Mar 2025
Elliptic Loss Regularization Ali Hasan Haoming Yang Yuting Ng Vahid Tarokh 68 1 0 04 Mar 2025
An Efficient Plugin Method for Metric Optimization of Black-Box Models Siddartha Devic Nurendra Choudhary Anirudh Srinivasan Sahika Genc B. Kveton G. Hiranandani 39 0 0 03 Mar 2025
Language-Assisted Feature Transformation for Anomaly Detection EungGu Yun Heonjin Ha Yeongwoo Nam Bryan Dongik Lee 61 0 0 03 Mar 2025
Robustness to Geographic Distribution Shift using Location Encoders Ruth Crasto OOD 81 0 0 03 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 63 0 0 01 Mar 2025
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing Jingyi Yang Xun Lin Zitong Yu L. Zhang X. Liu Hui Li Xiaochen Yuan Xiaochun Cao CVBM 39 0 0 01 Mar 2025
Learning to Substitute Components for Compositional Generalization Z. Li Gangwei Jiang Chenwang Wu Ying Wei Defu Lian Enhong Chen 57 0 0 28 Feb 2025
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization Yuanchao Wang Zhao-Rong Lai Tianqi Zhong 71 1 0 27 Feb 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 155 0 0 27 Feb 2025
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks Martin Surner Abdelmajid Khelil Ludwig Bothmann OOD 53 0 0 26 Feb 2025