Applying Adaptive Sharpness-Aware Minimization to Improve Out-of-distribution Generalization

Author:

Luong Hoang-Chau1ORCID,Tran Minh-Triet1ORCID

Affiliation:

1. University of Science, HCMVNU, Viet Nam

Publisher

ACM

Reference27 articles.

1. Invariance principle meets information bottleneck for out-of-distribution generalization;Ahuja Kartik;Advances in Neural Information Processing Systems,2021

2. Ehab  A AlBadawy , Ashirbani Saha , and Maciej  A Mazurowski . 2018. Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing. Medical physics 45, 3 ( 2018 ), 1150–1158. Ehab A AlBadawy, Ashirbani Saha, and Maciej A Mazurowski. 2018. Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing. Medical physics 45, 3 (2018), 1150–1158.

3. DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation

4. NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization

5. Domain Generalization by Solving Jigsaw Puzzles

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unbiased Semantic Representation Learning Based on Causal Disentanglement for Domain Generalization;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-06-12

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