Zobrazeno 1 - 10
of 57 616
pro vyhledávání: '"WANG, QI"'
The Gardner transition in structural glasses is characterized by full-replica symmetry breaking of the free-energy landscape and the onset of anomalous aging dynamics due to marginal stability. Here we show that this transition also has a structural
Externí odkaz:
http://arxiv.org/abs/2410.23797
Meta learning is a promising paradigm in the era of large models and task distributional robustness has become an indispensable consideration in real-world scenarios. Recent advances have examined the effectiveness of tail task risk minimization in f
Externí odkaz:
http://arxiv.org/abs/2410.22788
Autor:
Wang, Qi, Ren, Pu, Zhou, Hao, Liu, Xin-Yang, Deng, Zhiwen, Zhang, Yi, Chengze, Ruizhi, Liu, Hongsheng, Wang, Zidong, Wang, Jian-Xun, Ji-Rong_Wen, Sun, Hao, Liu, Yang
When solving partial differential equations (PDEs), classical numerical methods often require fine mesh grids and small time stepping to meet stability, consistency, and convergence conditions, leading to high computational cost. Recently, machine le
Externí odkaz:
http://arxiv.org/abs/2411.00040
Generative AI tools, particularly those utilizing large language models (LLMs), have become increasingly prevalent in both professional and personal contexts, offering powerful capabilities for text generation and communication support. While these t
Externí odkaz:
http://arxiv.org/abs/2410.21358
During the early stages of respiratory virus outbreaks, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the efficient utilize of limited nasopharyngeal swabs for rapid and accurate screening is crucial for public health. In this
Externí odkaz:
http://arxiv.org/abs/2410.20132
In offline reinforcement learning (RL), addressing the out-of-distribution (OOD) action issue has been a focus, but we argue that there exists an OOD state issue that also impairs performance yet has been underexplored. Such an issue describes the sc
Externí odkaz:
http://arxiv.org/abs/2410.19400
Gesture recognition based on surface electromyographic signal (sEMG) is one of the most used methods. The traditional manual feature extraction can only extract some low-level signal features, this causes poor classifier performance and low recogniti
Externí odkaz:
http://arxiv.org/abs/2410.18557
Source-free Unsupervised Domain Adaptation (SF-UDA) aims to transfer a model's performance from a labeled source domain to an unlabeled target domain without direct access to source samples, addressing critical data privacy concerns. However, most ex
Externí odkaz:
http://arxiv.org/abs/2410.15811
Predicting human mobility across multiple cities presents significant challenges due to the complex and diverse spatial-temporal dynamics inherent in different urban environments. In this study, we propose a robust approach to predict human mobility
Externí odkaz:
http://arxiv.org/abs/2410.14099
Autor:
Wang, Qi, Li, Jindong, Wang, Shiqi, Xing, Qianli, Niu, Runliang, Kong, He, Li, Rui, Long, Guodong, Chang, Yi, Zhang, Chengqi
Large language models (LLMs) have not only revolutionized the field of natural language processing (NLP) but also have the potential to bring a paradigm shift in many other fields due to their remarkable abilities of language understanding, as well a
Externí odkaz:
http://arxiv.org/abs/2410.19744