Understanding and Improving Feature Learning for Out-of-Distribution
Generalization

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Understanding and Improving Feature Learning for Out-of-Distribution Generalization

22 April 2023

Bo Han

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Papers citing "Understanding and Improving Feature Learning for Out-of-Distribution Generalization"

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Title
On the Role of Label Noise in the Feature Learning Process Andi Han Wei Huang Zhanpeng Zhou Gang Niu Wuyang Chen Junchi Yan Akiko Takeda Taiji Suzuki NoLa MLT 145 0 0 25 May 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families Louis McConnell OOD CML 104 0 0 06 Mar 2025
Generalizable Prompt Learning of CLIP: A Brief Overview Fangming Cui Yonggang Zhang Xuan Wang Xule Wang Liang Xiao VPVLM VLM 520 1 0 03 Mar 2025
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method Bikang Pan Wei Huang Ye-ling Shi FedML VLM 107 8 0 29 Sep 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 162 0 0 01 Jul 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 181 6 0 05 Jun 2024
$How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance$ How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance Hongkang Li Shuai Zhang Yihua Zhang Meng Wang Sijia Liu Pin-Yu Chen 103 4 0 12 Mar 2024
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness Bhavya Vasudeva Kameron Shahabi Vatsal Sharan 67 4 0 09 Oct 2023
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons Wei Huang Yuanbin Cao Hong Wang Xin Cao Taiji Suzuki MLT 86 8 0 24 Jun 2023