Zobrazeno 1 - 10
of 5 535
pro vyhledávání: '"LU, Yue"'
Continual Learning (CL) aims to equip AI models with the ability to learn a sequence of tasks over time, without forgetting previously learned knowledge. Recently, State Space Models (SSMs), particularly the Mamba model, have achieved notable success
Externí odkaz:
http://arxiv.org/abs/2411.15469
Autor:
Lu, Yue, Chen, Jie, Zhou, Feng, Lau, Yong-Chang, Wisniewski, Piotr, Kaczorowski, Dariusz, Xi, Xue-Kui, Wang, Wen-Hong
The angular dependence of magnetoresistance (MR) in antiferromagnetic half-Heusler HoAuSn single crystals have been systematically studied. Negative MR, as large as 99%, is observed at 9 T, is not restricted to the specific configuration of applied m
Externí odkaz:
http://arxiv.org/abs/2411.14140
A key property of neural networks is their capacity of adapting to data during training. Yet, our current mathematical understanding of feature learning and its relationship to generalization remain limited. In this work, we provide a random matrix a
Externí odkaz:
http://arxiv.org/abs/2410.18938
Autor:
Ho, Jacquelyn, Lu, Yue-Hui, Xiang, Tai, Rusconi, Cosimo C., Masson, Stuart J., Asenjo-Garcia, Ana, Yan, Zhenjie, Stamper-Kurn, Dan M.
A fundamental challenge in modern physics is bridging the gap between an exact description of few-body microscopic systems and the emergent description of many-body macroscopic systems. This gap may be bridged by tracing the properties of well-contro
Externí odkaz:
http://arxiv.org/abs/2410.12754
Autor:
Ponnada, Sam B., Cochrane, Rachel K., Hopkins, Philip F., Butsky, Iryna S., Wellons, Sarah, Sanchez, N. Nicole, Hummels, Cameron, Lu, Yue Samuel, Kereš, Dušan, Hayward, Christopher C.
The far-infrared (FIR) - radio correlation (FRC) is one of the most promising empirical constraints on the role of cosmic-rays (CRs) and magnetic fields (\textbf{B}) in galaxy formation and evolution. While many theories have been proposed in order t
Externí odkaz:
http://arxiv.org/abs/2410.02971
Autor:
Zhang, Shizhou, Kong, Dexuan, Xing, Yinghui, Lu, Yue, Ran, Lingyan, Liang, Guoqiang, Wang, Hexu, Zhang, Yanning
Camouflaged object detection (COD) aims to segment camouflaged objects which exhibit very similar patterns with the surrounding environment. Recent research works have shown that enhancing the feature representation via the frequency information can
Externí odkaz:
http://arxiv.org/abs/2409.12421
Existing prompt-tuning methods have demonstrated impressive performances in continual learning (CL), by selecting and updating relevant prompts in the vision-transformer models. On the contrary, this paper aims to learn each task by tuning the prompt
Externí odkaz:
http://arxiv.org/abs/2406.05658
Transformers have a remarkable ability to learn and execute tasks based on examples provided within the input itself, without explicit prior training. It has been argued that this capability, known as in-context learning (ICL), is a cornerstone of Tr
Externí odkaz:
http://arxiv.org/abs/2405.11751
Publikováno v:
IEEE International Conference on Multimedia and Expo 2024
Neural networks have increasingly influenced people's lives. Ensuring the faithful deployment of neural networks as designed by their model owners is crucial, as they may be susceptible to various malicious or unintentional modifications, such as bac
Externí odkaz:
http://arxiv.org/abs/2404.07572
Autor:
Yuan, Ye, Zhang, Chen, Li, Fan, Chen, Jian, Fu, Yanning, Bai, Chunhai, Gao, Xing, Wang, Yong, Zhong, Tuhong, Gao, Yixing, Wang, Liang, Chen, Donghua, Zhang, Yixing, Zhang, Yang, Xie, Wenpeng, Zhang, Shupi, Liu, Ding, Cao, Jun, Yin, Xiangdong, Mo, Xiaojun, Liu, Jing, Han, Xinru, Liu, Tong, Chen, Yuqiang, Gao, Zhendong, Zeng, Xiang, Niu, Guihua, Zheng, Xiansheng, Lin, Yuchen, Ye, Peiyu, Liang, Weitang, Zhu, Chengcheng, Hu, Zhiqiang, He, Jianguo, Zhang, Wei, Chen, Yue, Cheng, Zhuo, Sun, Tianrui, Guo, Chenyang, Lu, Yue, Lin, Jiajun, Tan, Wei, Zhou, Jia, Xu, Jun, He, Jun, Ye, Jiahui, Li, Delai, Zhang, Shuai, Qu, Qingyue
Publikováno v:
A&A 684, L13 (2024)
The atmosphere of Triton was probed directly by observing a ground-based stellar occultation on 6 October 2022. This rare event yielded 23 positive light curves collected from 13 separate observation stations contributing to our campaign. The signifi
Externí odkaz:
http://arxiv.org/abs/2403.09464