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  2. Survey
  • 论文阅读: Mobile Edge Intelligence for Large LanguageModels: A Contemporary Survey

    地址:Mobile Edge Intelligence for Large Language Models: A Contemporary Survey 摘要 设备端大型语言模型(LLMs)指在边缘设备上运行 LLMs,与云端模式相比,
    论文edgeMobileintelligenceSurvey
    admin1月前
    40
  • 【综述】A Comprehensive Survey on Community Detection with Deep Learning

    论文链接:A Comprehensive Survey on Community Detection With Deep Learning | IEEE Journals & Magazine | IEEE X
    communitySurveyComprehensivelearningdeep
    admin3月前
    360
  • 一、、笔记:A Comprehensive Survey on Cross-modal Retrieval

    A Comprehensive Survey on Cross-modal Retrieval1、简述什么是跨模态检索(cross-modal retrieval)?通常不同的数据模式会用来描述相同的主题或者事件&#xff0c
    笔记ComprehensiveSurveyRetrievalmodal
    admin3月前
    510
  • 【论文翻译】A Comprehensive Survey on Safe Reinforcement Learning

    本篇译文为方便自己再次阅读而记录,源自Google翻译和CNKI翻译助手。习惯用语保持英文(例:agent),一些细微之处结合自己
    论文ComprehensiveSurveylearningReinforcement
    admin3月前
    380
  • (深度学习社区发现综述)A Comprehensive Survey on Community Detection with Deep Learning

    论文地址 推荐直接看原文。 译文 深度学习分类框架,包括基于深度神经网络、深度非负矩阵分解和深度稀疏滤波的深度学习模型,并进一步将深度神经网络模型细分为卷积网络,图注意网络
    深度发现社区ComprehensiveSurvey
    admin3月前
    470
  • RAG综述:《A Comprehensive Survey of Retrieval-Augmented Generation (RAG)》

    来源于《A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions》
    SurveyComprehensiveRAGGENERATIONAugmented
    admin3月前
    380
  • 001 A Comprehensive Survey of Privacy-preserving Federated Learning(便于寻找:FedAvg、垂直联邦学习的基本步骤)

    这是我看的第一篇关于联邦学习的论文,综述文章,让我对联邦学习有了初步的了解。 A Comprehensive Survey of Privacy-preserving Federated Lea
    联邦步骤SurveyPrivacyComprehensive
    admin3月前
    300
  • 《A Comprehensive Survey on Transfer Learning》论文解读

    A Comprehensive Survey on Transfer Learning 作者: Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zh
    论文SurveyComprehensivelearningtransfer
    admin3月前
    410
  • 综述论文“A Comprehensive Survey on Graph Neural Networks”

    arXiv在2019年12月4号上传的关于GNN综述论文“A Comprehensive Survey on Graph Neural Networks“。 摘要:近年来,深度学习彻底改变了许多机器学习任务,从图像分类和视频处理到语音识别和
    论文ComprehensiveSurveyNetworksneural
    admin3月前
    420
  • A COMPREHENSIVE SURVEY ON EVALUATING LARGE LANGUAGE MODEL APPLICATIONS IN THE MEDICAL INDUSTRY

    本文是LLM系列文章,针对《A COMPREHENSIVE SURVEY ON EVALUATING LARGE LANGUAGE MODEL APPLICATIONS IN THE MEDICAL INDUSTRY》的翻译。关于评估医
    EvaluatingLARGEComprehensiveSurveylanguage
    admin3月前
    520
  • 【论文阅读】The Deep Learning Compiler: A Comprehensive Survey

    论文来源:Li M , Liu Y , Liu X ,et al.The Deep Learning Compiler: A Comprehensive Survey[J]. 2020.DOI:10.1109TPDS
    论文deeplearningSurveyComprehensive
    admin3月前
    350
  • [caption学习]:综述:A comprehensive survey of deep learning for image caption

    A Comprehensive survey of Deep Learning for image CaptionINTRODUCTION作者通过归纳不同的方面,将目前主流的caption方法归类为以下几种&
    SurveyComprehensivedeepImagelearning
    admin3月前
    330
  • ChatGPT 拓展资料:论文阅读A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to Chat

    ChatGPT 拓展资料:A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT目录A Comprehensive
    论文资料SurveyComprehensiveChatGpt
    admin3月前
    240
  • 论文笔记 A Comprehensive Survey on Graph Neural Networks(GNN综述)

    前言问题:近年来,深度学习促进了很多机器学习任务的发展,这些任务很多都表示在规则的欧几里得空间中表示。但是图作为具有复杂关系和对象之间相互依赖,其数据是
    笔记论文ComprehensiveSurveyGNN
    admin3月前
    370
  • 【阅读笔记】PPFL全面综述文章: A Comprehensive Survey of Privacy-preserving Federated Learning

    PPFL全面综述前言一、个人拙见1. 什么是联邦学习?2. 联邦学习与分布式机器学习的区别3. 联邦学习的应用与前景二、综述解析1. INTRODUCTION1.1 Background1.2 Motivation1.
    笔记文章ComprehensiveSurveyPPFL
    admin3月前
    380
  • 综述笔记:A comprehensive survey on Graph Neural Networks

    一、GNN分类在清华大学的综述中,GNN被分为5类:Graph Convolutional Networks图卷积网络,Graph Attention Networks图
    笔记ComprehensiveSurveyNetworksneural
    admin3月前
    410
  • 多智能体强化学习经典综述A Comprehensive Survey of Multi-Agent Reinforcement Learning翻译

    因为里面的图片实在是多,就用贴图代替了~
    智能经典ComprehensiveSurveylearning
    admin3月前
    450
  • 【MOS】《A comprehensive survey of LIDAR-based 3D object detection methods with deep learning for

    有一个之前大佬写的详解,这里附上网址,下文主要是一些盲区和自己觉得需要注意的地方 文章目录数据表示3D BBoxBEV-basedProjection-based特征提取3DBN 与 2DBN3D
    LiDARbasedSurveyMOSComprehensive
    admin3月前
    420
  • 【论文阅读】A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions之表示学习

    论文地址:A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions | ACM Computing Surveys 摘
    论文SurveydeepClusteringComprehensive
    admin3月前
    440
  • 综述论文阅读”A comprehensive survey on graph neural networks“(TNNLS2020)

    论文标题  A comprehensive survey on graph neural networks 论文作者、链接 作者:Wu, Zonghan and Pan, Shirui and Chen, Fen
    论文SurveyComprehensiveGraphNetworks
    admin3月前
    470
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