Zobrazeno 1 - 10
of 8 256
pro vyhledávání: '"Wu, Yuan"'
Adversarial training has been instrumental in advancing multi-domain text classification (MDTC). Traditionally, MDTC methods employ a shared-private paradigm, with a shared feature extractor for domain-invariant knowledge and individual private featu
Externí odkaz:
http://arxiv.org/abs/2406.00044
In this paper, we initiate our discussion by demonstrating how Large Language Models (LLMs), when tasked with responding to queries, display a more even probability distribution in their answers if they are more adept, as opposed to their less skille
Externí odkaz:
http://arxiv.org/abs/2405.10516
Autor:
Hu, Juntao, Wu, Yuan
We propose a novel data augmentation method termed You Only Need hAlf (YONA), which simplifies the augmentation process. YONA bisects an image, substitutes one half with noise, and applies data augmentation techniques to the remaining half. This meth
Externí odkaz:
http://arxiv.org/abs/2405.02830
Large Language Models (LLMs) have become integral to a wide spectrum of applications, ranging from traditional computing tasks to advanced artificial intelligence (AI) applications. This widespread adoption has spurred extensive research into LLMs ac
Externí odkaz:
http://arxiv.org/abs/2405.02814
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain. The most recent UDA methods always resort to adversarial training to yield state-of-the-art results and a dominant number of e
Externí odkaz:
http://arxiv.org/abs/2404.15817
Autor:
Shang, Xiaofeng, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Geng, Lisheng, Giboni, Karl, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Junting, Huang, Zhou, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shao, Xiyuan, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Yan, Binbin, Yan, Xiyu, Yang, Yong, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, Zhou, Yubo, Zhou, Zhizhen, Ge, Shao-Feng, Xia, Chen
We report the first search for the elastic scatterings between cosmic-ray boosted sub-MeV dark matter and electrons in the PandaX-4T liquid xenon experiment. Sub-MeV dark matter particles can be accelerated by scattering with electrons in the cosmic
Externí odkaz:
http://arxiv.org/abs/2403.08361
Autor:
Wu, Yuan
Multi-domain text classification (MDTC) endeavors to harness available resources from correlated domains to enhance the classification accuracy of the target domain. Presently, most MDTC approaches that embrace adversarial training and the shared-pri
Externí odkaz:
http://arxiv.org/abs/2403.00888
Autor:
Wu, Haibin, Chung, Ho-Lam, Lin, Yi-Cheng, Wu, Yuan-Kuei, Chen, Xuanjun, Pai, Yu-Chi, Wang, Hsiu-Hsuan, Chang, Kai-Wei, Liu, Alexander H., Lee, Hung-yi
The sound codec's dual roles in minimizing data transmission latency and serving as tokenizers underscore its critical importance. Recent years have witnessed significant developments in codec models. The ideal sound codec should preserve content, pa
Externí odkaz:
http://arxiv.org/abs/2402.13071
Recently, MBConv blocks, initially designed for efficiency in resource-limited settings and later adapted for cutting-edge image classification performances, have demonstrated significant potential in image classification tasks. Despite their success
Externí odkaz:
http://arxiv.org/abs/2402.04618
Autor:
PandaX Collaboration, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xunan, Guo, Xuyuan, Guo, Zhichao, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Junting, Huang, Zhou, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Si, Lin, Sun, Wenliang, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Yan, Binbin, Yan, Xiyu, Yang, Yong, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, Zhou, Yubo, Zhou, Zhizhen
We propose a major upgrade to the existing PandaX-4T experiment in the China Jinping Underground Laboratory. The new experiment, PandaX-xT, will be a multi-ten-tonne liquid xenon, ultra-low background, and general-purpose observatory. The full-scaled
Externí odkaz:
http://arxiv.org/abs/2402.03596