Zobrazeno 1 - 10
of 74 259
pro vyhledávání: '"Zhang,Jie"'
The recent rapid development of auditory attention decoding (AAD) offers the possibility of using electroencephalography (EEG) as auxiliary information for target speaker extraction. However, effectively modeling long sequences of speech and resolvin
Externí odkaz:
http://arxiv.org/abs/2501.01673
Recently, large foundation models, including large language models (LLMs) and large vision-language models (LVLMs), have become essential tools in critical fields such as law, finance, and healthcare. As these models increasingly integrate into our d
Externí odkaz:
http://arxiv.org/abs/2412.20718
Autor:
Gao, Daiheng, Lu, Shilin, Walters, Shaw, Zhou, Wenbo, Chu, Jiaming, Zhang, Jie, Zhang, Bang, Jia, Mengxi, Zhao, Jian, Fan, Zhaoxin, Zhang, Weiming
Removing unwanted concepts from large-scale text-to-image (T2I) diffusion models while maintaining their overall generative quality remains an open challenge. This difficulty is especially pronounced in emerging paradigms, such as Stable Diffusion (S
Externí odkaz:
http://arxiv.org/abs/2412.20413
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