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META-LEARNING: 作品数：63被引量：29H指数：2; 导出分析报告; 相关作者：李秋实侯勇耿新宇孙红萍更多>>; 相关机构：中国石油长庆油田公司中国石油南开大学东北财经大学更多>>; 相关期刊：《Computer Modeling in Engineering & Sciences》《Cybersecurity》《IEEE/CAA Journal of Automatica Sinica》《Computers, Materials & Continua》更多>>; 相关基金：国家自然科学基金上海市自然科学基金国家高技术研究发展计划更多>>

利用T5和MAML的多语种英语翻译质量改进研究: 《鄂州大学学报》2025年第2期98-102,105,共6页梅玲孙红萍; 安徽省职业与成人教育学会2023年教育教学研究规划课题(AZCJ2023229);2022年安徽职业技术学院校级科技工程人文社科项目(2022xjrs010);2023年度安徽省社会科学创新发展研究课题(2023KY006)。; 为改善翻译效果与质量,结合T5 (Text-To-Text Transfer Transformer)和MAML (Model-Agnostic Meta-Learning),对其在多语种英语翻译中的质量可持续改进与应用进行了研究。采用自回归学习方法,对T5模型预训练参数进行微调,构建一个生成...; 关键词：多语言英语翻译 Text-To-Text Transfer Transformer Model-Agnostic Meta-Learning 英语翻译模型

Unsupervised vehicle re-identification via meta-type generalization: 《High Technology Letters》2025年第1期32-40,共9页HUANG Chengti ZHANG Xiaoxiang ZHAO Qianqian ZHU Jianqing; Supported by the National Natural Science Foundation of China(No.61976098);the Natural Science Foundation for Outstanding Young Scholars of Fujian Province(No.2022J06023).; Unsupervised vehicle re-identification(Re-ID)methods have garnered widespread attention due to their potential in real-world traffic monitoring.However,existing unsupervised domain adaptation techniques often rely on ...; 关键词：deep learning unsupervised vehicle re-identification(Re-ID) META-LEARNING

A Comprehensive Survey of Few-shot Information Networks: 《Machine Intelligence Research》2025年第1期60-78,共19页Xinxin Zheng Feihu Che Jianhua Tao; Information networks store rich information in the nodes and edges,which benefit many downstream tasks,such as recommender systems and knowledge graph completion.Information networks contain homogeneous information,he...; 关键词：Few-shot learning META-LEARNING homogeneous information networks heterogeneous information networks knowledge graphs

Dual-Task Contrastive Meta-Learning for Few-Shot Cross-Domain Emotion Recognition: 《Computers, Materials & Continua》2025年第2期2331-2352,共22页Yujiao Tang Yadong Wu Yuanmei He Jilin Liu Weihan Zhang; supported by the ScientificResearch and Innovation Team Program of Sichuan University of Science and Technology(No.SUSE652A006);Sichuan Key Provincial Research Base of Intelligent Tourism(ZHYJ22-03);In addition,it is also listed as a project of Sichuan Provincial Science and Technology Programme(2022YFG0028).; Emotion recognition plays a crucial role in various fields and is a key task in natural language processing (NLP). The objective is to identify and interpret emotional expressions in text. However, traditional emotion...; 关键词：Contrastive learning emotion recognition cross-domain learning DUAL-TASK META-LEARNING

Enhancing Classification Algorithm Recommendation in Automated Machine Learning: A Meta-Learning Approach Using Multivariate Sparse Group Lasso: 《Computer Modeling in Engineering & Sciences》2025年第2期1611-1636,共26页Irfan Khan Xianchao Zhang Ramesh Kumar Ayyasamy Saadat M.Alhashmi Azizur Rahim; The rapid growth of machine learning(ML)across fields has intensified the challenge of selecting the right algorithm for specific tasks,known as the Algorithm Selection Problem(ASP).Traditional trial-and-error methods...; 关键词：META-LEARNING machine learning automated machine learning classification meta-features

MSO-DETR: Metric space optimization for few-shot object detection: 《CAAI Transactions on Intelligence Technology》2024年第6期1515-1533,共19页Haifeng Sima Manyang Wang Lanlan Liu Yudong Zhang Junding Sun; National Natural Science Foundation of China,Grant/Award Number:61602157;Henan scientific and technological project,Grant/Award Number:242102210020;Basal Research Fund,Grant/Award Number:NSFRF240618。; In the metric-based meta-learning detection model,the distribution of training samples in the metric space has great influence on the detection performance,and this influence is usually ignored by traditional meta-det...; 关键词：few-shot object detection hyperbolic space META-LEARNING metric space

Utility-based regression and meta-learning techniques for modeling actual ET:Comparison to(METRIC-EEFLUX)model: 《Artificial Intelligence in Agriculture》2024年第4期43-55,共13页Fatima K.Abu Salem Sara Awad Yasmine Hamdar Samer Kharroubi Hadi Jaafar; Estimating actual evapotranspiration(ET.)is crucial for water resource management,yet existing methods face limitations.Traditional approaches,including eddy covariance and remote sensing-based energy balance methods,...; 关键词：EVAPOTRANSPIRATION Machine learning Artificial intelligence EEFlux

Assessor Feedback Mechanism for Machine Learning Model: 《Computers, Materials & Continua》2024年第12期4707-4726,共20页Musulmon Lolaev Anand Paul Jeonghong Kim; supported by BK21 Four Project,AI-Driven Convergence Software Education Research Program 41999902143942;also supported by National Research Foundation of Korea 2020R1A2C1012196.; Evaluating artificial intelligence(AI)systems is crucial for their successful deployment and safe operation in real-world applications.The assessor meta-learning model has been recently introduced to assess AI system ...; 关键词：Artificial Intelligence assessor model EVALUATION META-LEARNING TRUSTWORTHY explainable AI

Classification and detection of dental images using meta-learning: 《World Journal of Clinical Cases》2024年第32期6559-6562,共4页Pradeep Kumar Yadalam Raghavendra Vamsi Anegundi Mario Alberto Alarcón-Sánchez Artak Heboyan; Meta-learning of dental X-rays is a machine learning technique that can be used to train models to perform new tasks quickly and with minimal input.Instead of just memorizing a task,this is accomplished through teachi...; 关键词：Artificial intelligence META-LEARNING Dental diagnosis Image segmentation Medical image interpretation Dental radiography

PCA-Net: a heart segmentation model based on the meta-learning method: 《Optoelectronics Letters》2024年第11期697-704,共8页YANG Mengzhu ZHU Dong DONG Hao HU Shunbo WANG Yongfang; supported by the Shandong Provincial Natural Science Foundation(Nos.ZR2019PF005,ZR2021MF115 and ZR2023MF062);the Introduction and Cultivation Program for Young Innovative Talents of Universities in Shandong(No.2021QCYY003)。; In order to effectively prevent and treat heart-based diseases,the study of precise segmentation of heart parts is particularly important.The heart is divided into four parts:the left and right ventricles and the left...; 关键词：ORGANS VENTRICULAR DISEASES

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