Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Yu, Yakun"'
Discrimination and calibration represent two important properties of survival analysis, with the former assessing the model's ability to accurately rank subjects and the latter evaluating the alignment of predicted outcomes with actual events. With t
Externí odkaz:
http://arxiv.org/abs/2405.07374
Current recommender systems employ large-sized embedding tables with uniform dimensions for all features, leading to overfitting, high computational cost, and suboptimal generalizing performance. Many techniques aim to solve this issue by feature sel
Externí odkaz:
http://arxiv.org/abs/2309.07967
Autor:
Yu, Yakun, Zhao, Mingjun, Qi, Shi-ang, Sun, Feiran, Wang, Baoxun, Guo, Weidong, Wang, Xiaoli, Yang, Lei, Niu, Di
Multimodal Sentiment Analysis leverages multimodal signals to detect the sentiment of a speaker. Previous approaches concentrate on performing multimodal fusion and representation learning based on general knowledge obtained from pretrained models, w
Externí odkaz:
http://arxiv.org/abs/2306.15796
With the widespread popularity of user-generated short videos, it becomes increasingly challenging for content creators to promote their content to potential viewers. Automatically generating appealing titles and covers for short videos can help grab
Externí odkaz:
http://arxiv.org/abs/2304.12561
Despite the success of deep learning in video understanding tasks, processing every frame in a video is computationally expensive and often unnecessary in real-time applications. Frame selection aims to extract the most informative and representative
Externí odkaz:
http://arxiv.org/abs/2304.10316
Autor:
Yang, Jiuding, Guo, Weidong, Liu, Bang, Yu, Yakun, Wang, Chaoyue, Luo, Jinwen, Kong, Linglong, Niu, Di, Wen, Zhen
Although conceptualization has been widely studied in semantics and knowledge representation, it is still challenging to find the most accurate concept phrases to characterize the main idea of a text snippet on the fast-growing social media. This is
Externí odkaz:
http://arxiv.org/abs/2110.06892
Publikováno v:
Proceedings of the Twelfth Workshop on Procedural Content Generation 2021
Machine learning has been a popular tool in many different fields, including procedural content generation. However, procedural content generation via machine learning (PCGML) approaches can struggle with controllability and coherence. In this paper,
Externí odkaz:
http://arxiv.org/abs/2107.12532
Publikováno v:
Proc. Interspeech 2020, 1982-1986
Deep neural networks have recently become a popular solution to keyword spotting systems, which enable the control of smart devices via voice. In this paper, we apply neural architecture search to search for convolutional neural network models that c
Externí odkaz:
http://arxiv.org/abs/2009.00165
Autor:
Wu, Mingqi, Yao, Yilin, Chen, Rui, Fu, Baoqiang, Sun, Ying, Yu, Yakun, Liu, Yan, Feng, Haoyuan, Guo, Shuaitian, Yang, Yanzhou, Zhang, Cheng
Publikováno v:
Nutrients; Sep2024, Vol. 16 Issue 18, p3085, 14p
Autor:
Yu, Yakun Wang, Xiaoyou Hong, Xiaoli Liu, Wei Li, Chen Chen, Junxian Zhu, Chengqing Wei, Xinping Zhu, Lingyun
Publikováno v:
Animals; Volume 13; Issue 13; Pages: 2219
Offspring size-number trade-off is a critical component of life-history theory and is important for further understanding the reproductive strategies of animals. The relationship between this trade-off and maternal size has been explored in several t