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Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,117 papers shown

Title
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization Youngjun Song Youngsik Hwang Jonghun Lee Heechang Lee Dong-Young Lim AAML 116 0 0 01 Jul 2025
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension Cynthia Dwork Lunjia Hu Han Shao 5 0 0 20 Jun 2025
Variational Learning of Disentangled Representations Yuli Slavutsky Ozgur Beker David Blei Bianca Dumitrascu DRL OOD CML CoGe 28 0 0 20 Jun 2025
SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification Shuo Yang Bardh Prenkaj Gjergji Kasneci 14 0 0 17 Jun 2025
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift Aayush Mishra Anqi Liu 12 0 0 17 Jun 2025
General and Estimable Learning Bound Unifying Covariate and Concept Shifts Hongbo Chen Li Charlie Xia OOD 15 0 0 15 Jun 2025
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation Emre Kavak Tom Nuno Wolf Christian Wachinger CML 9 0 0 13 Jun 2025
Dynamic Sparse Training of Diagonally Sparse Networks Abhishek Tyagi Arjun Iyer William H Renninger Christopher Kanan Yuhao Zhu 10 0 0 13 Jun 2025
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments Yaroslav Kivva S. Akbari Saber Salehkaleybar Negar Kiyavash CML 17 0 0 13 Jun 2025
LoRA Users Beware: A Few Spurious Tokens Can Manipulate Your Finetuned Model Pradyut Sekhsaria Marcel Mateos Salles Hai Huang Randall Balestriero 13 0 0 13 Jun 2025
Improving Group Robustness on Spurious Correlation via Evidential Alignment Wenqian Ye Guangtao Zheng Aidong Zhang 5 0 0 12 Jun 2025
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning Jikai Jin Vasilis Syrgkanis Sham Kakade Hanlin Zhang ELM 101 1 0 12 Jun 2025
FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching Sunny Gupta Nikita Jangid Shounak Das Amit Sethi FedML 23 0 0 10 Jun 2025
Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization Yuen Chen Haozhe Si Guojun Zhang Han Zhao OOD 15 0 0 09 Jun 2025
UdonCare: Hierarchy Pruning for Unseen Domain Discovery in Predictive Healthcare Pengfei Hu Xiaoxue Han Fei Wang Yue Ning OOD 10 0 0 08 Jun 2025
AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization Mukur Gupta Nikhil Reddy Varimalla Nicholas Deas Melanie Subbiah Kathleen McKeown 46 0 0 06 Jun 2025
Out-of-Distribution Graph Models Merging Yidi Wang Jiawei Gu pei Xiaobing Xubin Zheng Xiao Luo Pengyang Wang Ziyue Qiao MoMe OODD 104 0 0 04 Jun 2025
Benchmarking Time-localized Explanations for Audio Classification Models Cecilia Bolaños L. Pepino Martin Meza Luciana Ferrer 22 0 0 04 Jun 2025
Exploring Explanations Improves the Robustness of In-Context Learning Ukyo Honda Tatsushi Oka LRM 55 0 0 03 Jun 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning Changsheng Wang Yihua Zhang Jinghan Jia Parikshit Ram Dennis L. Wei Yuguang Yao Soumyadeep Pal Nathalie Baracaldo Sijia Liu MU 56 0 0 02 Jun 2025
Data Heterogeneity Modeling for Trustworthy Machine Learning Jiashuo Liu Peng Cui 45 0 0 01 Jun 2025
From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual Matching Ruqi Bai Yao Ji Zeyu Zhou David I. Inouye OOD 24 0 0 30 May 2025
NeuronTune: Towards Self-Guided Spurious Bias Mitigation Guangtao Zheng Wenqian Ye Aidong Zhang 26 0 0 29 May 2025
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization Shohei Enomoto OOD AI4CE 20 0 0 29 May 2025
A Closer Look at Multimodal Representation Collapse Abhra Chaudhuri Anjan Dutta Tu Bui Serban Georgescu 28 0 0 28 May 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Chenruo Liu Kenan Tang Yao Qin Qi Lei 18 0 0 28 May 2025
When Shift Happens - Confounding Is to Blame Abbavaram Gowtham Reddy Celia Rubio-Madrigal R. Burkholz Krikamol Muandet OOD 41 0 0 27 May 2025
NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion Max Collins Jordan Vice T. French Ajmal Mian DiffM 40 0 0 27 May 2025
Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Mehdi Bennis Salem Lahlou 53 1 0 27 May 2025
Learning Where to Learn: Training Distribution Selection for Provable OOD Performance Nicolas Guerra Nicholas H. Nelsen Yunan Yang OOD 57 0 0 27 May 2025
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation Piyush Tiwary Kinjawl Bhattacharyya Prathosh A.P. MedIm 52 0 0 26 May 2025
Multi-Domain Explainability of Preferences Nitay Calderon Liat Ein-Dor Roi Reichart LRM 54 0 0 26 May 2025
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks Jinyan Wang Liu Yang Yuecen Wei Jiaxuan Si Chenhao Guo Qingyun Sun Xianxian Li Xingcheng Fu OOD AAML 28 1 0 26 May 2025
Dual-Path Stable Soft Prompt Generation for Domain Generalization Yuedi Zhang Shuanghao Bai Wanqi Zhou Zhirong Luan Badong Chen VLM 26 0 0 24 May 2025
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations Dingling Yao Shimeng Huang Riccardo Cadei Kun Zhang Francesco Locatello CML 120 0 0 23 May 2025
Robust Invariant Representation Learning by Distribution Extrapolation Kotaro Yoshida Konstantinos Slavakis OOD 82 0 0 22 May 2025
Mitigating Spurious Correlations with Causal Logit Perturbation Xiaoling Zhou Wei Ye Rui Xie Shikun Zhang CML 89 0 0 21 May 2025
Causality-Inspired Robustness for Nonlinear Models via Representation Learning Marin Šola Peter Bühlmann Xinwei Shen OOD 86 0 0 19 May 2025
Continuous Domain Generalization Zekun Cai Yiheng Yao Guangji Bai Renhe Jiang Xuan Song Ryosuke Shibasaki Liang Zhao OOD 85 0 0 17 May 2025
Learning Repetition-Invariant Representations for Polymer Informatics Yihan Zhu Gang Liu Eric Inae Tengfei Luo Meng Jiang 96 0 0 15 May 2025
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Renzhe Xu Kun Wang Bo Li 69 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 84 0 0 07 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Dinesh Manocha Qinghua Lu Shanshan Ye Jing Jiang OODD 503 2 0 02 May 2025
Subject Information Extraction for Novelty Detection with Domain Shifts Yangyang Qu Dazhi Fu Jicong Fan OOD 102 0 0 30 Apr 2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 125 0 0 29 Apr 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 114 1 0 24 Apr 2025
Invariant Learning with Annotation-free Environments Phuong Quynh Le Christin Seifert Jorg Schlotterer OOD 36 0 0 22 Apr 2025
An XAI-based Analysis of Shortcut Learning in Neural Networks Phuong Quynh Le Jorg Schlotterer Christin Seifert AAML 112 0 0 22 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 75 0 0 15 Apr 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Hongkang Li Yihua Zhang Shuai Zhang Ming Wang Sijia Liu Pin-Yu Chen MoMe 250 10 0 15 Apr 2025