On Invariance Penalties for Risk Minimization

On Invariance Penalties for Risk Minimization

17 June 2021

Frank Soboczenski

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Papers citing "On Invariance Penalties for Risk Minimization"

10 / 10 papers shown

Title
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 74 2 0 02 Nov 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 97 0 0 29 May 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 108 10 0 06 Feb 2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time Huaxiu Yao Caroline Choi Bochuan Cao Yoonho Lee Pang Wei Koh Chelsea Finn OOD 91 79 0 25 Nov 2022
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations Xinyu Yang Huaxiu Yao Allan Zhou Chelsea Finn 77 3 0 25 Oct 2022
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise Haotian Ye James Zou Linjun Zhang OOD 76 23 0 20 Oct 2022
C-Mixup: Improving Generalization in Regression Huaxiu Yao Yiping Wang Linjun Zhang James Zou Chelsea Finn UQCV OOD 93 62 0 11 Oct 2022
Learning Invariant Visual Representations for Compositional Zero-Shot Learning Tian Zhang Kongming Liang Ruoyi Du Xian Sun Zhanyu Ma Jun Guo CoGe BDL 84 34 0 01 Jun 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang Haozhe Si Yue Liu Han Zhao OOD 134 35 0 30 Jan 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