Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts Bijan Mazaheri Atalanti Mastakouri Dominik Janzing Mila Hardt OOD 43 3 0 10 May 2023
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila OOD 27 4 0 09 May 2023
Ranking & Reweighting Improves Group Distributional Robustness Yachuan Liu Bohang Zhang Qiaozhu Mei Paramveer S. Dhillon OOD 29 0 0 09 May 2023
Consistent Text Categorization using Data Augmentation in e-Commerce G. Horowitz Stav Yanovsky Daye Noa Avigdor-Elgrabli Ariel Raviv 30 3 0 09 May 2023
Large-Scale Study of Temporal Shift in Health Insurance Claims Christina X. Ji Ahmed Alaa David Sontag AI4TS OOD 37 4 0 08 May 2023
Mining bias-target Alignment from Voronoi Cells Rémi Nahon Van-Tam Nguyen Enzo Tartaglione 29 5 0 05 May 2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations Weixin Liang Yining Mao Yongchan Kwon Xinyu Yang James Zou OODD 42 3 0 04 May 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 46 10 0 02 May 2023
PGrad: Learning Principal Gradients For Domain Generalization Zhe Wang J. E. Grigsby Yanjun Qi OOD 29 10 0 02 May 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation Shirley Wu Mert Yuksekgonul Linjun Zhang James Zou 82 57 0 01 May 2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 35 10 0 30 Apr 2023
Implicit Counterfactual Data Augmentation for Deep Neural Networks Xiaoling Zhou Ou Wu OOD BDL CML 32 1 0 26 Apr 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation Yi-Fan Zhang Xue Wang Kexin Jin Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OOD 17 42 0 25 Apr 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Jiahao Wang Wufei Ma Artur Jesslen Si-Jia Yang Shaozuo Yu O. Zendel Christian Theobalt Alan Yuille Adam Kortylewski 37 8 0 17 Apr 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel L. Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 44 22 0 17 Apr 2023
Out-of-Variable Generalization for Discriminative Models Siyuan Guo J. Wildberger Bernhard Schölkopf OOD CML 30 2 0 16 Apr 2023
Frequency Decomposition to Tap the Potential of Single Domain for Generalization Qing-sheng Yang Hongjing Niu Pengfei Xia Wei Zhang Bin Li OOD 34 0 0 14 Apr 2023
Improved Test-Time Adaptation for Domain Generalization Liang Chen Yong Zhang Yibing Song Ying Shan Lingqiao Liu TTA OOD 29 47 0 10 Apr 2023
Meta Compositional Referring Expression Segmentation Li Xu Mark He Huang Xindi Shang Zehuan Yuan Ying Sun Jun Liu 41 22 0 10 Apr 2023
Reweighted Mixup for Subpopulation Shift Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li ... P. Zhao Qinghua Hu Bing Wu Changqing Zhang Jianhua Yao 37 3 0 09 Apr 2023
Improving Identity-Robustness for Face Models Q. Qi Shervin Ardeshir CVBM OOD 24 3 0 07 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 19 26 0 07 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition Wei-Jang Li Wei Yang Wenpeng Zhang Tianpeng Liu Yongxiang Liu Yong-Jin Liu 33 18 0 07 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 30 4 0 06 Apr 2023
SLM: End-to-end Feature Selection via Sparse Learnable Masks Yihe Dong Sercan Ö. Arik 32 3 0 06 Apr 2023
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation Yuanhong Chen Yuyuan Liu Hu Wang Fengbei Liu Chong Wang Helen Frazer G. Carneiro VOS 27 15 0 06 Apr 2023
A step towards the applicability of algorithms based on invariant causal learning on observational data Borja Guerrero Santillan CML OOD 19 1 0 05 Apr 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 44 9 0 04 Apr 2023
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition Siyuan Yan Chih-Chen Liu Zhen Yu Lie Ju Dwarikanath Mahapatrainst Victoria Mar Monika Janda Peter Soyer Z. Ge ViT MedIm VLM 41 9 0 04 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 40 19 0 03 Apr 2023
A principled approach to model validation in domain generalization Boyang Lyu Thuan Q. Nguyen matthias. scheutz Prakash Ishwar Shuchin Aeron 38 2 0 02 Apr 2023
CNNs with Multi-Level Attention for Domain Generalization Aristotelis Ballas Christos Diou OOD 27 6 0 02 Apr 2023
Predictive Heterogeneity: Measures and Applications Jiashuo Liu Jiayun Wu Yangqiu Song Peng Cui 30 1 0 01 Apr 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness Ruijin Sun Fengwei Zhou Zhenhua Dong Chuanlong Xie Lanqing Hong Jiawei Li Rui-Xun Zhang Zerui Li Zhenguo Li 35 2 0 01 Apr 2023
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation Wenqiao Zhang Changshuo Liu Can Cui Beng Chin Ooi CML 27 0 0 30 Mar 2023
Are Data-driven Explanations Robust against Out-of-distribution Data? Tang Li Fengchun Qiao Mengmeng Ma Xiangkai Peng OODD OOD 33 10 0 29 Mar 2023
TFS-ViT: Token-Level Feature Stylization for Domain Generalization Mehrdad Noori Milad Cheraghalikhani Ali Bahri G. A. V. Hakim David Osowiechi Ismail Ben Ayed Christian Desrosiers 25 10 0 28 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 34 28 0 27 Mar 2023
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment Yiyou Sun Yaojie Liu Xiaoming Liu Yixuan Li Wen-Sheng Chu OOD CVBM 49 59 0 23 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 38 33 0 23 Mar 2023
MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation Léo Milecki Vicky Kalogeiton Sylvain Bodard D. Anglicheau J. Correas M. Timsit Maria Vakalopoulou MedIm 22 4 0 22 Mar 2023
The Representational Status of Deep Learning Models Eamon Duede 21 0 0 21 Mar 2023
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks Aristotelis Ballas Christos Diou OOD 35 12 0 20 Mar 2023
Sharpness-Aware Gradient Matching for Domain Generalization Pengfei Wang Zhaoxiang Zhang Zhen Lei Lei Zhang 19 83 0 18 Mar 2023
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 27 4 0 17 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 38 13 0 15 Mar 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues Mohamed Akrout Amal Feriani F. Bellili A. Mezghani Ekram Hossain OOD AI4CE 42 27 0 13 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 36 6 0 10 Mar 2023