Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,407 papers shown

Title
Toward Certified Robustness Against Real-World Distribution Shifts Haoze Wu Teruhiro Tagomori Alexander Robey Fengjun Yang Nikolai Matni George Pappas Hamed Hassani C. Păsăreanu Clark W. Barrett AAML OOD 47 18 0 08 Jun 2022
Enhancing Distributional Stability among Sub-populations Jiashuo Liu Jiayun Wu Jie Peng Xiaoyu Wu Zheyan Shen Yangqiu Song Peng Cui OOD 23 2 0 07 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 21 82 0 06 Jun 2022
An Optimal Transport Approach to Personalized Federated Learning Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 35 12 0 06 Jun 2022
Invariant Grounding for Video Question Answering Yicong Li Xiang Wang Junbin Xiao Wei Ji Tat-Seng Chua OOD 23 95 0 06 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 40 6 0 05 Jun 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Rajagopal Setlur Benjamin Eysenbach Virginia Smith Sergey Levine 19 18 0 03 Jun 2022
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling Jian Hu Haowen Zhong Junchi Yan S. Gong Guile Wu Fei Yang 25 11 0 02 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 45 38 0 02 Jun 2022
Feature Space Particle Inference for Neural Network Ensembles Shingo Yashima Teppei Suzuki Kohta Ishikawa Ikuro Sato Rei Kawakami BDL 17 11 0 02 Jun 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder G. Horowitz Yoav Wald Roi Reichart Nir Rosenfeld OOD 21 7 0 01 Jun 2022
Learning Invariant Visual Representations for Compositional Zero-Shot Learning Tian Zhang Kongming Liang Ruoyi Du Xian Sun Zhanyu Ma Jun Guo CoGe BDL 31 32 0 01 Jun 2022
Evolving Domain Generalization Wei Wang Gezheng Xu Ruizhi Pu Jiaqi Li Fan Zhou Changjian Shui Charles Ling Christian Gagné Boyu Wang OOD 37 3 0 31 May 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets Nikolaj Thams Michael Oberst David Sontag OOD 53 10 0 31 May 2022
Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn Seongyoon Kim Se-Young Yun 52 20 0 31 May 2022
Differentiable Invariant Causal Discovery Yu Wang An Zhang Xiang Wang Yancheng Yuan Xiangnan He Tat-Seng Chua OOD CML 40 1 0 31 May 2022
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning M. Ziatdinov Yongtao Liu K. Kelley Rama K Vasudevan Sergei V. Kalinin AI4CE 47 49 0 30 May 2022
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation Birk Torpmann-Hagen Vajira Thambawita K. Glette Pål Halvorsen Michael A. Riegler 29 3 0 30 May 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 39 3 0 30 May 2022
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding Tianyang Hu Zhili Liu Fengwei Zhou Wei Cao Weiran Huang SSL 52 27 0 30 May 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization Dongsung Huh A. Baidya OOD 28 8 0 29 May 2022
Understanding new tasks through the lens of training data via exponential tilting Subha Maity Mikhail Yurochkin Moulinath Banerjee Yuekai Sun 39 10 0 26 May 2022
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 59 27 0 26 May 2022
Looking for Out-of-Distribution Environments in Multi-center Critical Care Data Dimitris Spathis Stephanie L. Hyland OOD CML 32 4 0 26 May 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 45 28 0 26 May 2022
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin Xiangyang Ji Antoni B. Chan OOD 50 14 0 25 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 29 4 0 24 May 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 52 110 0 23 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 85 43 0 22 May 2022
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks Guangji Bai Ling-Hao Chen Liang Zhao OOD AI4TS AI4CE 34 29 0 21 May 2022
Test-time Batch Normalization Tao Yang Shenglong Zhou Yuwang Wang Yan Lu Nanning Zheng OOD 59 9 0 20 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Zhe Liu P. Zhao OOD 45 25 0 20 May 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Yizhou Sun Ed H. Chi OOD LRM 98 29 0 19 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 199 129 0 19 May 2022
FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data Mike He Zhu Léna Néhale Ezzine Dianbo Liu Yoshua Bengio OOD FedML 32 4 0 19 May 2022
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis Xuetong Wu Biwei Huang J. Manton U. Aickelin Jingge Zhu CML 45 2 0 10 May 2022
Localized Adversarial Domain Generalization Wei-wei Zhu Le Lu Jing Xiao Mei Han Jiebo Luo Adam P. Harrison OOD 32 22 0 09 May 2022
Scalable Regularised Joint Mixture Models Thomas Lartigue S. Mukherjee 6 0 0 03 May 2022
Out-of-distribution generalization for learning quantum dynamics Matthias C. Caro Hsin-Yuan Huang Nic Ezzell Joe Gibbs A. Sornborger L. Cincio Patrick J. Coles Zoë Holmes OODD OOD 25 83 0 21 Apr 2022
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification Chu-ran Wang Jing Li Xinwei Sun Fandong Zhang Yizhou Yu Yizhou Wang MedIm OOD 38 2 0 21 Apr 2022
Improved Group Robustness via Classifier Retraining on Independent Splits Thien Hai Nguyen Hongyang R. Zhang Huy Nguyen OOD 31 2 0 20 Apr 2022
Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention Leo Schwinn Doina Precup Bjoern M. Eskofier Dario Zanca 20 7 0 19 Apr 2022
NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 37 75 0 17 Apr 2022
MetaSets: Meta-Learning on Point Sets for Generalizable Representations Chao Huang Zhangjie Cao Yunbo Wang Jianmin Wang Mingsheng Long 3DPC 24 30 0 15 Apr 2022
From graphs to DAGs: a low-complexity model and a scalable algorithm Shuyu Dong Michèle Sebag CML 24 5 0 10 Apr 2022
Towards efficient representation identification in supervised learning Kartik Ahuja Divyat Mahajan Vasilis Syrgkanis Ioannis Mitliagkas CoGe OOD DRL 36 18 0 10 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization Zeyi Huang Haohan Wang Dong Huang Yong Jae Lee Eric P. Xing 21 22 0 09 Apr 2022
The Effects of Regularization and Data Augmentation are Class Dependent Randall Balestriero Léon Bottou Yann LeCun 41 94 0 07 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 58 320 0 06 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 38 13 0 05 Apr 2022