首页|Researchers at Yangzhou University Release New Data on Computational Intelligenc e (Convert Cross-domain Classification Into Few-shot Learning: a Unified Prompt- tuning Framework for Unsupervised Domain Adaptation)
Researchers at Yangzhou University Release New Data on Computational Intelligenc e (Convert Cross-domain Classification Into Few-shot Learning: a Unified Prompt- tuning Framework for Unsupervised Domain Adaptation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning - Compu tational Intelligence are presented in a newreport. According to news reporting originating in Yangzhou, People’s Republic of China, by NewsRx journalists, res earch stated, “Unsupervised domain adaptation aims to facilitate learning tasks within anunlabeled target domain by leveraging labeled information from the sou rce domain. To address the domaindiscrepancy, the majority of existing methods focus on learning latent features in both the source and targetdomains.”
YangzhouPeople’s Republic of ChinaAs iaComputational IntelligenceMachine LearningYangzhou University
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