Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Wen, Jirong"'
Large language models (LLMs) have shown incredible performance in completing various real-world tasks. The current knowledge learning paradigm of LLMs is mainly based on learning from examples, in which LLMs learn the internal rule implicitly from a
Externí odkaz:
http://arxiv.org/abs/2311.08883
Molecular representation learning is a crucial task in predicting molecular properties. Molecules are often modeled as graphs where atoms and chemical bonds are represented as nodes and edges, respectively, and Graph Neural Networks (GNNs) have been
Externí odkaz:
http://arxiv.org/abs/2305.12618
Publikováno v:
DLP-KDD 2022
Soon after the invention of the Internet, the recommender system emerged and related technologies have been extensively studied and applied by both academia and industry. Currently, recommender system has become one of the most successful web applica
Externí odkaz:
http://arxiv.org/abs/2209.01860
Autor:
Li, Yaxian, Zhang, Bingqing, Zhao, Guoping, Zhang, Mingyu, Liu, Jiajun, Wang, Ziwei, Wen, Jirong
After a survey for person-tracking system-induced privacy concerns, we propose a black-box adversarial attack method on state-of-the-art human detection models called InvisibiliTee. The method learns printable adversarial patterns for T-shirts that c
Externí odkaz:
http://arxiv.org/abs/2208.06962
Existing few-shot learning (FSL) methods assume that there exist sufficient training samples from source classes for knowledge transfer to target classes with few training samples. However, this assumption is often invalid, especially when it comes t
Externí odkaz:
http://arxiv.org/abs/2002.12641
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
In learning-to-rank for information retrieval, a ranking model is automatically learned from the data and then utilized to rank the sets of retrieved documents. Therefore, an ideal ranking model would be a mapping from a document set to a permutation
Externí odkaz:
http://arxiv.org/abs/1912.05891
Next basket recommendation, which aims to predict the next a few items that a user most probably purchases given his historical transactions, plays a vital role in market basket analysis. From the viewpoint of item, an item could be purchased by diff
Externí odkaz:
http://arxiv.org/abs/1904.12604
Autor:
Ai, Qingyao, Bai, Ting, Cao, Zhao, Chang, Yi, Chen, Jiawei, Chen, Zhumin, Cheng, Zhiyong, Dong, Shoubin, Dou, Zhicheng, Feng, Fuli, Gao, Shen, Guo, Jiafeng, He, Xiangnan, Lan, Yanyan, Li, Chenliang, Liu, Yiqun, Lyu, Ziyu, Ma, Weizhi, Ma, Jun, Ren, Zhaochun, Ren, Pengjie, Wang, Zhiqiang, Wang, Mingwen, Wen, Jirong, Wu, Le, Xin, Xin, Xu, Jun, Yin, Dawei, Zhang, Peng, Zhang, Fan, Zhang, Weinan, Zhang, Min, Zhu, Xiaofei
The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs. Recently, Large Language Models (LLMs) have demonstrated exceptional capabilities in text understa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9c146978c1abde99254fdad7ec25b07
http://arxiv.org/abs/2307.09751
http://arxiv.org/abs/2307.09751