v1v2 (latest)

Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments

1 July 2024

Gaojie Jin

Xiaowei Huang

Papers citing "Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments"

50 / 71 papers shown

Title
A Causal Inspired Early-Branching Structure for Domain Generalization Liang Chen Yong Zhang Yibing Song Zhen Zhang Lingqiao Liu OOD 37 6 0 13 Mar 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations Binghui Xie Yongqiang Chen Jiaqi Wang Kaiwen Zhou Bo Han Wei Meng James Cheng 108 5 0 16 Jan 2024
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification Sravanti Addepalli Ashish Ramayee Asokan Lakshay Sharma R. V. Babu VLM 57 21 0 12 Oct 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration Ran Liu Sahil Khose Jingyun Xiao Lakshmi Sathidevi Keerthan Ramnath Z. Kira Eva L. Dyer 134 4 0 28 Aug 2023
Domain Generalization via Rationale Invariance Liang Chen Yong Zhang Yibing Song Anton Van Den Hengel Lingqiao Liu OOD 81 14 0 22 Aug 2023
PGrad: Learning Principal Gradients For Domain Generalization Zhe Wang J. E. Grigsby Yanjun Qi OOD 92 10 0 02 May 2023
Understanding and Improving Feature Learning for Out-of-Distribution Generalization Yongqiang Chen Wei Huang Kaiwen Zhou Yatao Bian Bo Han James Cheng MLT OOD OODD 63 29 0 22 Apr 2023
Improved Test-Time Adaptation for Domain Generalization Liang Chen Yong Zhang Yibing Song Ying Shan Lingqiao Liu TTA OOD 93 51 0 10 Apr 2023
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment Yiyou Sun Yaojie Liu Xiaoming Liu Yixuan Li Wen-Sheng Chu OOD CVBM 94 63 0 23 Mar 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 132 43 0 01 Feb 2023
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 100 21 0 25 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang Xiaobo Xia Li Shen Bo Han Biwei Huang Chen Gong Tongliang Liu OODD 79 47 0 07 Jul 2022
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization Jivat Neet Kaur Emre Kıcıman Amit Sharma UQCV OOD 69 27 0 15 Jun 2022
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization Yongqiang Chen Kaiwen Zhou Yatao Bian Binghui Xie Bing Wu ... Kaili Ma Han Yang P. Zhao Bo Han James Cheng OOD OODD 82 36 0 15 Jun 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms Runpeng Yu Hong Zhu Kaican Li Lanqing Hong Rui Zhang Nan Ye Shao-Lun Huang Xiuqiang He 65 6 0 12 Jun 2022
Causal Balancing for Domain Generalization Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 106 23 0 10 Jun 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 122 175 0 27 Mar 2022
Rich Feature Construction for the Optimization-Generalization Dilemma Jianyu Zhang David Lopez-Paz Léon Bottou 63 41 0 24 Mar 2022
Improving Out-of-Distribution Robustness via Selective Augmentation Huaxiu Yao Yu Wang Sai Li Linjun Zhang Weixin Liang James Zou Chelsea Finn OOD OODD 108 224 0 02 Jan 2022
Kernelized Heterogeneous Risk Minimization Jiashuo Liu Zheyuan Hu Peng Cui Yangqiu Song Zheyan Shen OOD 71 35 0 24 Oct 2021
Learning Representations that Support Robust Transfer of Predictors Yilun Xu Tommi Jaakkola OOD 42 26 0 19 Oct 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 139 210 0 07 Sep 2021
Domain Generalization via Gradient Surgery Lucas Mansilla Rodrigo Echeveste Diego H. Milone Enzo Ferrante OOD 89 84 0 03 Aug 2021
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 118 563 0 19 Jul 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen Elan Rosenfeld Mark Sellke Tengyu Ma Andrej Risteski OOD 76 33 0 18 Jun 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 73 270 0 11 Jun 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization Soroosh Shahtalebi Jean-Christophe Gagnon-Audet Touraj Laleh Mojtaba Faramarzi Kartik Ahuja Irina Rish 85 61 0 04 Jun 2021
A Fourier-based Framework for Domain Generalization Qinwei Xu Ruipeng Zhang Ya Zhang Yanfeng Wang Qi Tian OOD 146 442 0 24 May 2021
Nonlinear Invariant Risk Minimization: A Causal Approach Chaochao Lu Yuhuai Wu Jośe Miguel Hernández-Lobato Bernhard Schölkopf CML OOD 128 52 0 24 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 138 131 0 23 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 127 158 0 20 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 311 460 0 17 Feb 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 281 128 0 04 Jan 2021
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective Kartik Ahuja Jun Wang Amit Dhurandhar Karthikeyan Shanmugam Kush R. Varshney OOD 93 79 0 30 Oct 2020
Representation Learning via Invariant Causal Mechanisms Jovana Mitrović Brian McWilliams Jacob Walker Lars Buesing Charles Blundell CML OOD SSL 77 251 0 15 Oct 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 70 385 0 14 Oct 2020
How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks Gao Jin Xinping Yi Liang Zhang Lijun Zhang S. Schewe Xiaowei Huang 78 42 0 12 Oct 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 111 312 0 12 Oct 2020
Learning explanations that are hard to vary Giambattista Parascandolo Alexander Neitz Antonio Orvieto Luigi Gresele Bernhard Schölkopf FAtt 86 187 0 01 Sep 2020
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization Shujun Wang Lequan Yu Caizi Li Chi-Wing Fu Pheng-Ann Heng OOD 87 195 0 18 Jul 2020
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 164 457 0 07 Jul 2020
Continuously Indexed Domain Adaptation Hao Wang Hao He Dina Katabi MedIm 71 118 0 03 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 132 1,159 0 02 Jul 2020
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning Anoopkumar Sonar Vincent Pacelli Anirudha Majumdar 111 54 0 01 Jun 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 229 2,069 0 16 Apr 2020
An Empirical Study of Invariant Risk Minimization Yo Joong Choe Jiyeon Ham Kyubyong Park OOD 61 51 0 10 Apr 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 338 945 0 02 Mar 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 111 252 0 11 Feb 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 110 1,250 0 20 Nov 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 113 703 0 29 Oct 2019