Single Domain Generalization via Unsupervised Diversity Probe-Reference-Cited by-同舟云学术

Single Domain Generalization via Unsupervised Diversity Probe

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Guo Kehua¹^ORCID,Ding Rui¹^ORCID,Qiu Tian¹^ORCID,Zhu Xiangyuan¹^ORCID,Wu Zheng¹^ORCID,Wang Liwei¹^ORCID,Fang Hui²^ORCID

Affiliation:

1. Central South University, Changsha, China

2. Loughborough University, Loughborough, United Kingdom

Funder

Hunan Provincial Science and Technology Plan Project

National Science Foundation of Hunan Province

Natural Science Foundation of China under Grant

Open Research Projects of Zhejiang Lab

111 Project

Key projects of Hunan Education Department

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612375

Reference61 articles.

1. Kartik Ahuja , Karthikeyan Shanmugam , Kush Varshney , and Amit Dhurandhar . 2020 . Invariant risk minimization games . In Proceedings of International Conference on Machine Learning (ICML). Kartik Ahuja, Karthikeyan Shanmugam, Kush Varshney, and Amit Dhurandhar. 2020. Invariant risk minimization games. In Proceedings of International Conference on Machine Learning (ICML).

2. Martin Arjovsky , Léon Bottou , Ishaan Gulrajani , and David Lopez-Paz . 2019. Invariant risk minimization. arXiv preprint arXiv:1907.02893 ( 2019 ). Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, and David Lopez-Paz. 2019. Invariant risk minimization. arXiv preprint arXiv:1907.02893 (2019).

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