Robotics & Machine Learning Daily News2024,Issue(Feb.6) :64-65.DOI:10.1016/j.inffus.2023.102071

New Machine Learning Study Findings Recently Were Reported by Researchers at Xi'an Jiaotong University (Minjot: Multimodal Infusion Joint Training for Noise Learning In Text and Multimodal Classification Problems)

Robotics & Machine Learning Daily News2024,Issue(Feb.6) :64-65.DOI:10.1016/j.inffus.2023.102071

New Machine Learning Study Findings Recently Were Reported by Researchers at Xi'an Jiaotong University (Minjot: Multimodal Infusion Joint Training for Noise Learning In Text and Multimodal Classification Problems)

扫码查看

Abstract

Data detailed on Machine Learning have been presented. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Amidst the critical role that high-quality labeled data plays in advancing machine learning, the persistence of noise within widelyused datasets remains a challenge. While noise learning has gained traction within machine learning, particularly in computer vision, its exploration in text and multimodal classification domains has lagged.” Financial supporters for this research include National Key Research and Development Project, National Natural Science Foundation of China (NSFC).

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xi’an Jiaotong University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
参考文献量47
段落导航相关论文