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pro vyhledávání: '"Gao, Zhengqing"'
Adapting pre-trained models to open classes is a challenging problem in machine learning. Vision-language models fully explore the knowledge of text modality, demonstrating strong zero-shot recognition performance, which is naturally suited for vario
Externí odkaz:
http://arxiv.org/abs/2408.16486
Test-time adaptation (TTA) aims at adapting a model pre-trained on the labeled source domain to the unlabeled target domain. Existing methods usually focus on improving TTA performance under covariate shifts, while neglecting semantic shifts. In this
Externí odkaz:
http://arxiv.org/abs/2404.06065
Local causal discovery is of great practical significance, as there are often situations where the discovery of the global causal structure is unnecessary, and the interest lies solely on a single target variable. Most existing local methods utilize
Externí odkaz:
http://arxiv.org/abs/2403.14843
Publikováno v:
In Journal of Energy Storage 20 December 2024 104 Part B
Autor:
Yuan, Lei, Yun, Yurou, Tian, Jun, Gao, ZhengQing, Xu, Zhenzhen, Liao, Xiaojun, Yi, Junjie, Cai, Shengbao, Zhou, Linyan
Publikováno v:
In Food Research International June 2022 156
Akademický článek
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