Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Wu, HuiWen"'
The development of Large Language Models (LLMs) has significantly advanced various AI applications in commercial and scientific research fields, such as scientific literature summarization, writing assistance, and knowledge graph construction. Howeve
Externí odkaz:
http://arxiv.org/abs/2410.12130
Nonparametric contextual bandit is an important model of sequential decision making problems. Under $\alpha$-Tsybakov margin condition, existing research has established a regret bound of $\tilde{O}\left(T^{1-\frac{\alpha+1}{d+2}}\right)$ for bounded
Externí odkaz:
http://arxiv.org/abs/2408.09655
User-level privacy is important in distributed systems. Previous research primarily focuses on the central model, while the local models have received much less attention. Under the central model, user-level DP is strictly stronger than the item-leve
Externí odkaz:
http://arxiv.org/abs/2405.17079
Label differential privacy (DP) is a framework that protects the privacy of labels in training datasets, while the feature vectors are public. Existing approaches protect the privacy of labels by flipping them randomly, and then train a model to make
Externí odkaz:
http://arxiv.org/abs/2405.15150
The success of current Large-Language Models (LLMs) hinges on extensive training data that is collected and stored centrally, called Centralized Learning (CL). However, such a collection manner poses a privacy threat, and one potential solution is Fe
Externí odkaz:
http://arxiv.org/abs/2405.13746
Quantum Hoare logic (QHL) is a formal verification tool specifically designed to ensure the correctness of quantum programs. There has been an ongoing challenge to achieve a relatively complete satisfaction-based QHL with while-loop since its incepti
Externí odkaz:
http://arxiv.org/abs/2405.01940
Publikováno v:
Journal of Biological Engineering, Vol 18, Iss 1, Pp 1-16 (2024)
Abstract The repair of bone defects remains a major challenge in the clinic, and treatment requires bone grafts or bone replacement materials. Existing biomaterials have many limitations and cannot meet the various needs of clinical applications. To
Externí odkaz:
https://doaj.org/article/eb9cb90bf3f045cca12c02a731a26463
Cross Domain Recommendation (CDR) has been popularly studied to alleviate the cold-start and data sparsity problem commonly existed in recommender systems. CDR models can improve the recommendation performance of a target domain by leveraging the dat
Externí odkaz:
http://arxiv.org/abs/2202.04893
This paper considers an unmanned vehicle-robot pickup and delivery system, in which a self-driving vehicle carrying multiple unmanned robots in the form of the mother ship travels from a depot to a number of stations distributed in a neighborhood to
Externí odkaz:
http://arxiv.org/abs/2202.04550
Autor:
Shi, Ai, Liu, Di, Wu, Huiwen, Zhu, Rui, Deng, Ying, Yao, Lulu, Xiao, Yaqian, Lorimer, George H., Ghiladi, Reza A., Xu, Xinjie, Zhang, Rong, Xu, Haiqing, Wang, Jun
Publikováno v:
In Biomedicine & Pharmacotherapy March 2024 172