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An Empirical Study of Invariant Risk Minimization

10 April 2020

Papers citing "An Empirical Study of Invariant Risk Minimization"

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Title
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing Jingyi Yang Xun Lin Zitong Yu Li Zhang Xianglong Liu Hui Li Xiaochen Yuan Xiaochun Cao CVBM 115 0 0 01 Mar 2025
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 164 0 0 01 Jul 2024
Invariant Representation via Decoupling Style and Spurious Features from Images Ruimeng Li Yuanhao Pu Zhaoyi Li Hong Xie Defu Lian OOD 97 1 0 11 Dec 2023
Multi-dimensional domain generalization with low-rank structures Sai Li Linjun Zhang 75 2 0 18 Sep 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 129 3 0 23 May 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 101 28 0 13 Mar 2023
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 88 18 0 31 Oct 2022
Bayesian Prompt Learning for Image-Language Model Generalization Mohammad Mahdi Derakhshani Enrique Sanchez Adrian Bulat Victor G. Turrisi da Costa Cees G. M. Snoek Georgios Tzimiropoulos Brais Martínez VPVLM VLM 171 37 0 05 Oct 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 89 16 0 25 May 2022
ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 88 69 0 11 Mar 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 80 58 0 03 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 300 139 0 15 Dec 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao Shiyu Chang Regina Barzilay 76 21 0 26 May 2021
Causal Learning for Socially Responsible AI Lu Cheng Ahmadreza Mosallanezhad Paras Sheth Huan Liu 130 13 0 25 Apr 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles Robik Shrestha Jinkyu Lee Kushal Kafle S. Hwang Il Yong Chun 79 1 0 01 Apr 2021
Meta-Learned Invariant Risk Minimization Jun-Hyun Bae Inchul Choi Minho Lee OOD 61 11 0 24 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 125 61 0 20 Mar 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems U. Mahmood Robik Shrestha D. Bates L. Mannelli G. Corrias Y. Erdi Christopher Kanan 70 16 0 04 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 280 1,240 0 02 Mar 2021
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification Robert Adragna Elliot Creager David Madras R. Zemel OOD FaML 80 43 0 12 Nov 2020
Risk Variance Penalization Chuanlong Xie Haotian Ye Fei Chen Yue Liu Rui Sun Zhenguo Li 172 33 0 13 Jun 2020
Unshuffling Data for Improved Generalization Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD 77 78 0 27 Feb 2020