Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,406 papers shown

Title
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 44 27 0 13 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 39 6 0 10 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 205 30 0 09 Mar 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks Shaohui Peng Xingui Hu Rui Zhang Jiaming Guo Qi Yi Rui Chen Zidong Du Ling Li Qi Guo Yunji Chen OffRL 41 8 0 09 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 155 46 0 09 Mar 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 68 17 0 08 Mar 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 42 5 0 06 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 29 4 0 06 Mar 2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning Yao Xiao Ziyi Tang Pengxu Wei Cong Liu Liang Lin 52 16 0 06 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions Yihua Zhang Pranay Sharma Parikshit Ram Min-Fong Hong Kush R. Varshney Sijia Liu 34 11 0 04 Mar 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization Sangrok Lee Jongseong Bae Ha Young Kim OOD 40 26 0 04 Mar 2023
Domain adaptation using optimal transport for invariant learning using histopathology datasets Kianoush Falahkheirkhah Alex X. Lu David Alvarez-Melis G. Huynh OOD MedIm 30 4 0 03 Mar 2023
Diagnosing Model Performance Under Distribution Shift Tiffany Cai Hongseok Namkoong Steve Yadlowsky 37 28 0 03 Mar 2023
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao Tianqi Du Yisen Wang Jun Yao Weiran Huang 38 13 0 02 Mar 2023
Target Domain Data induces Negative Transfer in Mixed Domain Training with Disjoint Classes Eryk Banatt Vickram Rajendran Liam Packer 28 1 0 02 Mar 2023
Domain-aware Triplet loss in Domain Generalization Kai Guo Brian C. Lovell OOD 28 6 0 01 Mar 2023
Competence-Based Analysis of Language Models Adam Davies Jize Jiang Chengxiang Zhai ELM 29 4 0 01 Mar 2023
Representation Disentaglement via Regularization by Causal Identification Juan Castorena OOD CML 39 0 0 28 Feb 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 45 20 0 28 Feb 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 19 3 0 27 Feb 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning Wang Lu Xixu Hu Jindong Wang Xingxu Xie FedML VLM 35 52 0 27 Feb 2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks Mahum Naseer B. Prabakaran Osman Hasan Mohamed Bennai 24 7 0 24 Feb 2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach Minyoung Kim Da Li Timothy M. Hospedales OOD 24 11 0 23 Feb 2023
Out-of-Domain Robustness via Targeted Augmentations Irena Gao Shiori Sagawa Pang Wei Koh Tatsunori Hashimoto Percy Liang OODD OOD 35 22 0 23 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 42 1 0 22 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao Xiantong Zhen Tianran Ouyang Cees G. M. Snoek TTA 48 18 0 22 Feb 2023
Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich 46 3 0 20 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 34 7 0 20 Feb 2023
Towards Radar Emitter Recognition in Changing Environments with Domain Generalization Honglin Wu Xueqiong Li Long Lan Liyang Xu Yuhua Tang 24 0 0 18 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 43 8 0 18 Feb 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju Karthikeyan N. Ramamurthy Kush R. Varshney 32 1 0 17 Feb 2023
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility Mohammad Yaghini Patty Liu Franziska Boenisch Nicolas Papernot FedML FaML 41 8 0 17 Feb 2023
Bayesian Quantification with Black-Box Estimators Albert Ziegler Paweł Czyż UQCV 23 0 0 17 Feb 2023
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing Tianyi Zheng CVBM 21 2 0 17 Feb 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley OODD OOD 32 12 0 17 Feb 2023
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction Tom Yan Shantanu Gupta Zachary Chase Lipton CML 43 1 0 14 Feb 2023
In Search for a Generalizable Method for Source Free Domain Adaptation Malik Boudiaf Tom Denton B. V. Merrienboer Vincent Dumoulin Eleni Triantafillou TTA 36 19 0 13 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 23 5 0 11 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn VLM 35 9 0 10 Feb 2023
On the Interventional Kullback-Leibler Divergence J. Wildberger Siyuan Guo Arnab Bhattacharyya Bernhard Schölkopf OOD CML 34 6 0 10 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 39 2 0 10 Feb 2023
Debiasing Recommendation by Learning Identifiable Latent Confounders Qing Zhang Xiaoying Zhang Yang Liu Hongning Wang Min Gao Jiheng Zhang Ruocheng Guo CML 49 10 0 10 Feb 2023
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting Enyi Jiang Yibo Jacky Zhang Oluwasanmi Koyejo FedML 38 4 0 10 Feb 2023
Shortcut Detection with Variational Autoencoders Nicolas Müller Simon Roschmann Shahbaz Khan Philip Sperl Konstantin Böttinger AAML DRL 37 1 0 08 Feb 2023
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection Lily H. Zhang Rajesh Ranganath OODD 32 6 0 08 Feb 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts Amrith Rajagopal Setlur D. Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn Virginia Smith Sergey Levine OOD 40 11 0 06 Feb 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 57 8 0 06 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization Daoan Zhang Mingkai Chen Chenming Li Lingyun Huang Jianguo Zhang OOD 29 9 0 05 Feb 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models Byunggyu Lew Donghyun Son Buru Chang 27 6 0 03 Feb 2023
Open-Set Multi-Source Multi-Target Domain Adaptation Rohit Lal Arihant Gaur Aadhithya Iyer Muhammed Abdullah Shaikh Ritik Agrawal 22 1 0 02 Feb 2023