Zobrazeno 1 - 10
of 6 984
pro vyhledávání: '"LI, JIANJUN"'
With the flourishing of social media platforms, vision-language pre-training (VLP) recently has received great attention and many remarkable progresses have been achieved. The success of VLP largely benefits from the information complementation and e
Externí odkaz:
http://arxiv.org/abs/2410.12595
Autor:
Ma, Zhiyuan, Zhang, Yuzhu, Jia, Guoli, Zhao, Liangliang, Ma, Yichao, Ma, Mingjie, Liu, Gaofeng, Zhang, Kaiyan, Li, Jianjun, Zhou, Bowen
As one of the most popular and sought-after generative models in the recent years, diffusion models have sparked the interests of many researchers and steadily shown excellent advantage in various generative tasks such as image synthesis, video gener
Externí odkaz:
http://arxiv.org/abs/2410.11795
Autor:
Li, Liang, Zhou, Ting, Liu, Tong, Liu, Zhiwei, Li, Yaping, Wu, Shuo, Zhao, Shanguang, Zhu, Jinglin, Liu, Meiling, Lin, Zhihan, Sun, Bowen, Li, Jianjun, Sun, Fangwen, Zou, Chongwen
Artificial neuronal devices are the basic building blocks for neuromorphic computing systems, which have been motivated by realistic brain emulation. Aiming for these applications, various device concepts have been proposed to mimic the neuronal dyna
Externí odkaz:
http://arxiv.org/abs/2405.00700
Learning precise representations of users and items to fit observed interaction data is the fundamental task of collaborative filtering. Existing studies usually infer entangled representations to fit such interaction data, neglecting to model the di
Externí odkaz:
http://arxiv.org/abs/2401.04914
The multimodal recommendation has gradually become the infrastructure of online media platforms, enabling them to provide personalized service to users through a joint modeling of user historical behaviors (e.g., purchases, clicks) and item various m
Externí odkaz:
http://arxiv.org/abs/2312.16400
As a class of fruitful approaches, diffusion probabilistic models (DPMs) have shown excellent advantages in high-resolution image reconstruction. On the other hand, masked autoencoders (MAEs), as popular self-supervised vision learners, have demonstr
Externí odkaz:
http://arxiv.org/abs/2312.07971
Publikováno v:
中西医结合护理, Vol 10, Iss 9, Pp 60-64 (2024)
Objective To investigate the influence of Traditional Chinese Medicine (TCM) emotion regulation on the psychological status and quality of life of patients undergoing hemodialysis for end-stage renal disease. Methods Totally 90 patients undergoing he
Externí odkaz:
https://doaj.org/article/05286d222b42484c9052427faff6f924
