Generalizable Label Distribution Learning-Reference-Cited by-同舟云学术

Generalizable Label Distribution Learning

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

Author:

Zhao Xingyu¹^ORCID,Qi Lei¹^ORCID,An Yuexuan¹^ORCID,Geng Xin¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Southeast University & Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China, Nanjing, China

Funder

National Science Foundation of China

Jiangsu Natural Science Foundation Project

National Key Research & Development Plan of China

China Postdoctoral Science Foundation Project

CCF-Lenovo Bule Ocean Research Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611693

Reference55 articles.

1. Martín Arjovsky , Léon Bottou , Ishaan Gulrajani , and David Lopez-Paz . 2019. Invariant Risk Minimization. CoRR , Vol. abs/ 1907 .02893 ( 2019 ). Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, and David Lopez-Paz. 2019. Invariant Risk Minimization. CoRR, Vol. abs/1907.02893 (2019).

2. Large-scale visual sentiment ontology and detectors using adjective noun pairs

3. Sung-Hyuk Cha . 2007. Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions . International Journal of Mathematical models and Methods in Applied Sciences , Vol. 1 , 4 ( 2007 ), 300--307. Sung-Hyuk Cha. 2007. Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions. International Journal of Mathematical models and Methods in Applied Sciences, Vol. 1, 4 (2007), 300--307.

4. Learning to Balance Specificity and Invariance for In and Out of Domain Generalization

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. Domain generalization through meta-learning: a survey;Artificial Intelligence Review;2024-09-09