Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Zhu, Tianshu"'
Autor:
Rajabzadeh, Hossein, Valipour, Mojtaba, Zhu, Tianshu, Tahaei, Marzieh, Kwon, Hyock Ju, Ghodsi, Ali, Chen, Boxing, Rezagholizadeh, Mehdi
Finetuning large language models requires huge GPU memory, restricting the choice to acquire Larger models. While the quantized version of the Low-Rank Adaptation technique, named QLoRA, significantly alleviates this issue, finding the efficient LoRA
Externí odkaz:
http://arxiv.org/abs/2402.10462
Autor:
Zhu, Tianshu1 (AUTHOR) tszhu@umac.mo
Publikováno v:
Religions. Oct2024, Vol. 15 Issue 10, p1195. 17p.
There are several opportunities for automation in healthcare that can improve clinician throughput. One such example is assistive tools to document diagnosis codes when clinicians write notes. We study the automation of medical code prediction using
Externí odkaz:
http://arxiv.org/abs/2208.02301
Autor:
Zhang, Runqing, Zhu, Tianshu
Humans can effectively find salient regions in complex scenes. Self-attention mechanisms were introduced into Computer Vision (CV) to achieve this. Attention Augmented Convolutional Network (AANet) is a mixture of convolution and self-attention, whic
Externí odkaz:
http://arxiv.org/abs/2206.01821
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Ultrasound in Medicine & Biology March 2021 47(3):582-589
Autor:
Zhu, Tianshu1 (AUTHOR) tszhu@umac.mo
Publikováno v:
Religions. Jun2023, Vol. 14 Issue 6, p798. 26p.
Autor:
Zhu, Tianshu
This dissertation examines images of Buddhas, and some bodhisattvas, that contain clusters of small Buddhas, or bodhisattvas, inside their aura or halo. Specifically, the study considers the formation and the development of this motif from Gandhāra,
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1182181696
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Zhu, Tianshu, Minda, John
This registration is the protocol of a scoping review under the working titled "Individual Differences and Category Learning Performance and Strategy - A scoping review". This report is not an update of any previous review. Author Contacts: Tianshu Z
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c57dabff2224a766f53ffdcfc778291