Zobrazeno 1 - 10
of 46 578
pro vyhledávání: '"CHEN, YANG"'
Deep neural networks (DNNs) are often constructed under the closed-world assumption, which may fail to generalize to the out-of-distribution (OOD) data. This leads to DNNs producing overconfident wrong predictions and can result in disastrous consequ
Externí odkaz:
http://arxiv.org/abs/2412.20918
Dataset condensation has made significant progress in the image domain. Unlike images, videos possess an additional temporal dimension, which harbors considerable redundant information, making condensation even more crucial. However, video dataset co
Externí odkaz:
http://arxiv.org/abs/2412.21197
Soft prompt learning methods are effective for adapting vision-language models (VLMs) to downstream tasks. Nevertheless, empirical evidence reveals a tendency of existing methods that they overfit seen classes and exhibit degraded performance on unse
Externí odkaz:
http://arxiv.org/abs/2412.19087
Autor:
Liu, Yule, Zhong, Zhiyuan, Liao, Yifan, Sun, Zhen, Zheng, Jingyi, Wei, Jiaheng, Gong, Qingyuan, Tong, Fenghua, Chen, Yang, Zhang, Yang, He, Xinlei
The rise of large language models (LLMs) has raised concerns about machine-generated text (MGT), including ethical and practical issues like plagiarism and misinformation. Building a robust and highly generalizable MGT detection system has become inc
Externí odkaz:
http://arxiv.org/abs/2412.17242
In this paper, we introduce AceMath, a suite of frontier math models that excel in solving complex math problems, along with highly effective reward models capable of evaluating generated solutions and reliably identifying the correct ones. To develo
Externí odkaz:
http://arxiv.org/abs/2412.15084
We study the dependence of recurrence coefficients in the three-term recurrence relation for orthogonal polynomials with a certain deformation of the $q$-Laguerre weight on the degree parameter $n$. We show that this dependence is described by a disc
Externí odkaz:
http://arxiv.org/abs/2412.13031
Autor:
Dou, Bin, Wang, Baokun, Zhu, Yun, Lin, Xiaotong, Xu, Yike, Huang, Xiaorui, Chen, Yang, Liu, Yun, Han, Shaoshuai, Liu, Yongchao, Zhang, Tianyi, Cheng, Yu, Wang, Weiqiang, Hong, Chuntao
User targeting, the process of selecting targeted users from a pool of candidates for non-expert marketers, has garnered substantial attention with the advancements in digital marketing. However, existing user targeting methods encounter two signific
Externí odkaz:
http://arxiv.org/abs/2412.12468
Shock waves from supernova remnants (SNRs) have strong influence on the physical and chemical properties of molecular clouds (MCs). Shocks propagating into magnetized MCs can be classified into "jump" J-shock and "continuous" C-shock. The molecular c
Externí odkaz:
http://arxiv.org/abs/2412.09092
Autor:
Zhao, Haotian, Chen, Ruifeng, Yan, Jing, Feng, Juan, Xiang, Jun, Chen, Yang, Liang, Dong, Li, Yinsheng
To shorten the door-to-puncture time for better treating patients with acute ischemic stroke, it is highly desired to obtain quantitative cerebral perfusion images using C-arm cone-beam computed tomography (CBCT) equipped in the interventional suite.
Externí odkaz:
http://arxiv.org/abs/2412.05084
Autor:
Chen, Yang, Cheng, Cheng
Conjugate phase retrieval considers the recovery of a function, up to a unimodular constant and conjugation, from its phaseless measurements. In this paper, we explore the conjugate phase retrieval in a shift-invariant space generated by a Gaussian f
Externí odkaz:
http://arxiv.org/abs/2412.03807