Zobrazeno 1 - 10
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pro vyhledávání: '"Zhang Jie"'
Autor:
Vladimir A. Meskin, Huizhen Zhang
Publikováno v:
RUDN Journal of Studies in Literature and Journalism, Vol 29, Iss 3, Pp 524-533 (2024)
The purpose of this paper is to examine the genesis of the work of Zhang Jie, a major Chinese prose writer of the second half of the 20th and early 21st century. The authors of the article quote the writer’s repeated acknowledgements of the enormou
Externí odkaz:
https://doaj.org/article/06e55eb786a948f2b76e3437b990ae3f
Akademický článek
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Large Vision-Language Models (LVLMs) exhibit impressive potential across various tasks but also face significant privacy risks, limiting their practical applications. Current researches on privacy assessment for LVLMs is limited in scope, with gaps i
Externí odkaz:
http://arxiv.org/abs/2412.19496
Autor:
Yuan, Xiulong, Yan, Xu, Shen, Wenting, Qiu, Xiafei, Wang, Ang, Zhang, Jie, Li, Yong, Lin, Wei
Publikováno v:
[1]"NeurIPS BladeDISC++: Memory Optimizations Based On Symbolic Shape" Neurips.cc, 2024. https://neurips.cc/virtual/2024/103601 (accessed Dec. 22, 2024)
Recent deep learning workloads exhibit dynamic characteristics, leading to the rising adoption of dynamic shape compilers. These compilers can generate efficient kernels for dynamic shape graphs characterized by a fixed graph topology and uncertain t
Externí odkaz:
http://arxiv.org/abs/2412.16985
Multivariate time series classification is a crucial task in data mining, attracting growing research interest due to its broad applications. While many existing methods focus on discovering discriminative patterns in time series, real-world data doe
Externí odkaz:
http://arxiv.org/abs/2412.16515
Autor:
Li, Yanhua, Ouyang, Xiaocao, Pan, Chaofan, Zhang, Jie, Zhao, Sen, Xia, Shuyin, Yang, Xin, Wang, Guoyin, Li, Tianrui
Publikováno v:
AAAI2025
Open intent classification is critical for the development of dialogue systems, aiming to accurately classify known intents into their corresponding classes while identifying unknown intents. Prior boundary-based methods assumed known intents fit wit
Externí odkaz:
http://arxiv.org/abs/2412.13542
Face recognition has made remarkable strides, driven by the expanding scale of datasets, advancements in various backbone and discriminative losses. However, face recognition performance is heavily affected by the label noise, especially closed-set n
Externí odkaz:
http://arxiv.org/abs/2412.12031
Autor:
Zhu, Ruitao, Liu, Yangsu, Chen, Dagui, Ma, Zhenjia, Shi, Chufeng, Zheng, Zhenzhe, Zhang, Jie, Xu, Jian, Zheng, Bo, Wu, Fan
Online advertising has become a core revenue driver for the internet industry, with ad auctions playing a crucial role in ensuring platform revenue and advertiser incentives. Traditional auction mechanisms, like GSP, rely on the independent CTR assum
Externí odkaz:
http://arxiv.org/abs/2412.11544
The detonation behaviors during thermonuclear burning indicate a state of robust hot spot burning and are widely present in astronomical phenomena, such as supernovae. In this work, we propose an analytical model including alpha-particle deposition a
Externí odkaz:
http://arxiv.org/abs/2412.12181
In today's digital landscape, the blending of AI-generated and authentic content has underscored the need for copyright protection and content authentication. Watermarking has become a vital tool to address these challenges, safeguarding both generat
Externí odkaz:
http://arxiv.org/abs/2412.10049