Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
Graph Augmentation for Cross Graph Domain Generalization Guanzi Chen Jiying Zhang Yang Li 73 0 0 25 Feb 2025
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data Yeheng Ge Xueyu Zhou Jian Huang 38 0 0 22 Feb 2025
Estimating Control Barriers from Offline Data Hongzhan Yu Seth Farrell Ryo Yoshimitsu Zhizhen Qin Henrik I. Christensen Sicun Gao OffRL 52 3 0 21 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 60 1 0 18 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts Sameer Ambekar Zehao Xiao Xiantong Zhen Cees G. M. Snoek OOD 65 0 0 15 Feb 2025
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization Xiliang Yang Shenyang Deng Shicong Liu Yuanchi Suo Wing.W.Y NG Jianjun Zhang 40 0 0 15 Feb 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Wenlin Yao OOD 101 0 0 11 Feb 2025
Trustworthy AI on Safety, Bias, and Privacy: A Survey Xingli Fang Jianwei Li Varun Mulchandani Jung-Eun Kim 45 0 0 11 Feb 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 59 0 0 10 Feb 2025
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Roussel Desmond Nzoyem David A.W. Barton Tom Deakin 72 1 0 07 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 73 3 0 04 Feb 2025
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization Simone Bombari Marco Mondelli 124 0 0 03 Feb 2025
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis Jiaxing Xu Yongqiang Chen Xia Dong Mengcheng Lan Tiancheng Huang Qingtian Bian James Cheng Litong Feng OOD 68 0 0 02 Feb 2025
One-Class Domain Adaptation via Meta-Learning Stephanie Holly T. Bierweiler Stefan von Dosky Ahmed Frikha C. Heitzinger Jana Eder 78 0 0 22 Jan 2025
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Sy-Tuyen Ho Tuan Van Vo Somayeh Ebrahimkhani Ngai-man Cheung 42 0 0 08 Jan 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization Song Wang Xiaodong Yang Rashidul Islam Huiyuan Chen Minghua Xu Jundong Li Yiwei Cai OODD 52 2 0 07 Jan 2025
CrossSpeech++: Cross-lingual Speech Synthesis with Decoupled Language and Speaker Generation Ji-Hoon Kim Hong-Sun Yang Yoon-Cheol Ju Il-Hwan Kim Byeong-Yeol Kim Joon Son Chung BDL 51 0 0 31 Dec 2024
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue Junyi Chen Mengjia Wu Qian Liu Ying Ding Yi Zhang 30 0 0 31 Dec 2024
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 65 4 0 31 Dec 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan CML OOD 72 2 0 31 Dec 2024
Functional Risk Minimization Ferran Alet Clement Gehring Tomás Lozano-Pérez Kenji Kawaguchi Joshua B. Tenenbaum Leslie Pack Kaelbling OffRL 60 0 0 31 Dec 2024
Empirical likelihood for Fréchet means on open books Karthik Bharath Huiling Le A. Wood Xi Yan 117 0 0 25 Dec 2024
TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding M. E. Kalfaoglu H. Öztürk Ozsel Kilinc A. Temi̇zel AI4CE 29 0 0 25 Dec 2024
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability Vishwesh Sangarya Jung-Eun Kim 72 0 0 20 Dec 2024
Re-evaluating Group Robustness via Adaptive Class-Specific Scaling Seonguk Seo Bohyung Han 81 0 0 19 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 186 0 0 18 Dec 2024
Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective Zhenyu Wang Yifan Hu Peter Buhlmann Zijian Guo 103 1 0 16 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization Zhe Chen Yiwen Ye Feilong Tang Yongsheng Pan Yong-quan Xia BDL 197 1 0 16 Dec 2024
The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat Mohammad Pezeshki Elvis Dohmatob David Lopez-Paz Pascal Vincent OOD 105 3 0 10 Dec 2024
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Rongqing Li Jiaqi Yu Changsheng Li Wenhan Luo Ye Yuan Guoren Wang MLAU 80 0 0 08 Dec 2024
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts Haiyang Jiang Tong Chen W. Zhang Nguyen Quoc Viet Hung Yuan Yuan Yong Li Lizhen Cui OOD AI4TS 169 1 0 07 Dec 2024
Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization Samuel Schapiro Han Zhao 73 0 0 06 Dec 2024
Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation Jie Bao Zhixin Zhou Wen Jung Li Rui Luo MedIm 67 0 0 05 Dec 2024
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models Ming-Chang Chiu Shicheng Wen Pin-Yu Chen Xuezhe Ma 77 0 0 05 Dec 2024
Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration Haoze Sun W. J. Li Jiaheng Liu Kaiwen Zhou Yongqiang Chen Yong Guo Y. Li Renjing Pei Long Peng Yuqing Yang DiffM 73 1 0 01 Dec 2024
Functional worst risk minimization Philip Kennerberg Ernst C. Wit 81 0 0 30 Nov 2024
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders Parjanya Prashant Seyedeh Baharan Khatami Bruno Ribeiro Babak Salimi 81 0 0 29 Nov 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Kaican Li Weiyan Xie Yongxiang Huang Didan Deng Lanqing Hong ZeLin Li Ricardo Silva N. Zhang 71 0 0 29 Nov 2024
Differentiable Causal Discovery For Latent Hierarchical Causal Models Parjanya Prashant Ignavier Ng Anton van den Hengel Zhen Zhang CML 187 0 0 29 Nov 2024
Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding Curriculum Learning in Subpopulation Shift Setups Antonio Barbalau 74 0 0 22 Nov 2024
Invariant Shape Representation Learning For Image Classification Tonmoy Hossain Jing Ma Jundong Li Miaomiao Zhang 75 2 0 19 Nov 2024
MSSIDD: A Benchmark for Multi-Sensor Denoising Shibin Mei Hang Wang Bingbing Ni 71 2 0 18 Nov 2024
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data Kai Helli David Schnurr Noah Hollmann Samuel G. Müller Frank Hutter OOD 36 4 0 15 Nov 2024
Enhancing generalization in high energy physics using white-box adversarial attacks Franck Rothen Samuel Klein Matthew Leigh T. Golling AAML 31 1 0 14 Nov 2024
Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shifts Mary Isabelle Wisell Salimeh Yasaei Sekeh 23 0 0 14 Nov 2024
Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain Generalization Haoliang Wang Chen Zhao Feng Chen 29 1 0 11 Nov 2024
Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition Hyewon Jeong Suyeol Yun Hammaad Adam 68 0 0 11 Nov 2024
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization Jawad Chowdhury G. Terejanu AI4CE BDL OOD OODD 43 0 0 09 Nov 2024
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms Boqi Chen Yuanzhi Zhu Yunke Ao Sebastiano Caprara Reto Sutter Gunnar Rätsch E. Konukoglu A. Susmelj MedIm DiffM OOD 51 0 0 07 Nov 2024
Impact of Label Noise on Learning Complex Features Rahul Vashisht P. Krishna Kumar Harsha Vardhan Govind H. G. Ramaswamy NoLa 31 0 0 07 Nov 2024