Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Diao, Xingjian"'
Parameter-efficient fine-tuning methods, such as Low-Rank Adaptation (LoRA), are known to enhance training efficiency in Large Language Models (LLMs). Due to the limited parameters of LoRA, recent studies seek to combine LoRA with Mixture-of-Experts
Externí odkaz:
http://arxiv.org/abs/2410.10054
The escalating prevalence of diabetes globally underscores the need for diabetes management. Recent research highlights the growing focus on digital biomarkers in diabetes management, with innovations in computational frameworks and noninvasive monit
Externí odkaz:
http://arxiv.org/abs/2404.12605
The global diabetes epidemic highlights the importance of maintaining good glycemic control. Glucose prediction is a fundamental aspect of diabetes management, facilitating real-time decision-making. Recent research has introduced models focusing on
Externí odkaz:
http://arxiv.org/abs/2404.11924
The increasing number of diabetic patients is a serious issue in society today, which has significant negative impacts on people's health and the country's financial expenditures. Because diabetes may develop into potential serious complications, ear
Externí odkaz:
http://arxiv.org/abs/2404.10901
Autor:
Cheng, Ming, Zhou, Ziyi, Zhang, Bowen, Wang, Ziyu, Gan, Jiaqi, Ren, Ziang, Feng, Weiqi, Lyu, Yi, Zhang, Hefan, Diao, Xingjian
In the landscape of spatio-temporal data analytics, effective trajectory representation learning is paramount. To bridge the gap of learning accurate representations with efficient and flexible mechanisms, we introduce Efflex, a comprehensive pipelin
Externí odkaz:
http://arxiv.org/abs/2404.12400
Trajectory similarity search plays an essential role in autonomous driving, as it enables vehicles to analyze the information and characteristics of different trajectories to make informed decisions and navigate safely in dynamic environments. Existi
Externí odkaz:
http://arxiv.org/abs/2404.08021
Speech anonymization and de-identification have garnered significant attention recently, especially in the healthcare area including telehealth consultations, patient voiceprint matching, and patient real-time monitoring. Speaker identity classificat
Externí odkaz:
http://arxiv.org/abs/2312.15190
Talking face generation has gained immense popularity in the computer vision community, with various applications including AR, VR, teleconferencing, digital assistants, and avatars. Traditional methods are mainly audio-driven, which have to deal wit
Externí odkaz:
http://arxiv.org/abs/2312.05430
Learning high-quality video representation has shown significant applications in computer vision and remains challenging. Previous work based on mask autoencoders such as ImageMAE and VideoMAE has proven the effectiveness of learning representations
Externí odkaz:
http://arxiv.org/abs/2309.08738
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