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  • Prompt Learning详解

    现阶段NLP最火的两个idea 一个是对比学习(contrastive learning) 另一个就是 prompt prompt 说简单也很简单 看了几篇论文之后发现其实就是构建一个语言模板 但是仔细想想又觉得复杂总感觉里面还有很多
    详解Promptlearning
    admin1月前
    50
  • 显著性目标检测之Learning to Promote Saliency Detectors

    Learning to Promote Saliency Detectors论文阅读 旧文重发 https:githublartpangMachine-Deep-Learning 缩写标注: SD: Saliency Detecti
    目标learningpromoteSaliencyDetectors
    admin1月前
    40
  • 【论文翻译】Deep Recurrent Q-Learning for Partially Observable MDPs

    部分可观察MDP的深度循环Q学习 摘要:Deep Reinforcement Learning已经为复杂的任务提供了熟练的控制器。然而,这些控制器具有有限的存储器并且依赖于能够在每个决策点处感知
    论文RecurrentdeeplearningObservable
    admin1月前
    40
  • Deep Recurrent Q-Learning for Partially Observable MDPs翻译

    摘要深度强化学习已经为复杂任务提供了精准的控制器。但是,这些控制器的内存有限,并且依赖于能够在每个决策点感知完整的游戏画面。为了解决这些缺点,本文研究了用循环LSTM替换卷
    learningRecurrentdeepMDPsObservable
    admin1月前
    70
  • Deep Recurrent Q-Learning for Partially Observable MDPs(DRQN)

    Abstract 深度RL已经为复杂的任务提供了精通的控制器。但是,这些控制器的内存有限,并且依赖于能够在每个决策点感知完整的游戏画面。为了解决这些缺点,本文研究了用循环LS
    learningRecurrentdeepPartiallyDRQN
    admin1月前
    40
  • IntelliLight: a Reinforcement Learning Approach for Intelligent Traffic Light Control 论文阅读

    IntelliLight 全文脉络概述1、本文贡献1)Experiments with real traffic data.2)Interpretations of the policy.3&am
    论文learningApproachIntelliLightReinforcement
    admin1月前
    70
  • 论文笔记:A Robust Learning Approach to Domain Adaptive Object Detection

    论文地址:https:ieeexplore.ieeedocument9008383 源码地址:https:githubGabriel-Maciasrobust_frcnn 1 以前的方法在目标域中有
    笔记论文learningRobustApproach
    admin1月前
    40
  • DeepSurf: A surface-based deep learning approach for theprediction of ligand binding sites on prote

    论文解读:DeepSurf:一种基于表面的深度学习方法预测蛋白质上的配体结合位点  期刊:Bioinformatics 中科院分区;Q1 影像因子&#xff1a
    deeplearningbasedDeepSurfSurface
    admin1月前
    80
  • ACTIVE LEARNING FOR CONVOLUTIONAL NEURAL NETWORKS : A CORE -SET APPROACH阅读笔记

    ICLR 2018的一篇文献,看Multiple Instance Active Learning for Object Detection的在评价性能的时候看到了这个模型,由于是第一次接触主动学
    笔记Convolutionalneuralactivelearning
    admin1月前
    90
  • 文献阅读 - A Discriminative Feature Learning Approach for Deep Face Recognition

    A Discriminative Feature Learning Approach for Deep Face Recognition Y. Wen, K. Zhang, Z. Li, & Y. Qiao, A Discrimin
    文献featureDiscriminativelearningRecognition
    admin1月前
    50
  • A Hybrid Approach to Privacy-Preserving Federated Learning

    背景差分隐私(Differential Privacy)隐私其实是一个很微妙的定义,在机器学习领域,这个定义变得更加模糊,考虑以下场景:高德地图曾
    PrivacyApproachHybridlearningFederated
    admin1月前
    40
  • 《FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social RelationExtraction》

    知识点 了解few-shot learning: 理解1,理解2 欧式距离Contribution We present multimodal social relation datasets, which
    ShotlearningflMSREbased
    admin1月前
    40
  • A Sim2Real Deep Learning Approach for theTransformation of Images from Multiple Vehicle-Mounted Cam

    IPM变换建立image到BEV平面的映射关系但是IPM变换的前提假设是世界是一个平坦的平面,但是3D物体是有高度的,或者当路面出现起伏的时候就会违反这一假设,导致出现目标物
    ApproachtheTransformationlearningSim2Realdeep
    admin1月前
    40
  • A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems

    《A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems》-2020-TNNLS-B类背景整体结构GraphL
    learningApproachSpatiotemporaldeepUnsupervised
    admin1月前
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  • ECCV 2016 A Deep Learning-Based Approach to Progressive Vehicle Re-identification

    文章目录 摘要 1.引言 2.相关工作 3.提出的方法(PROVID) 3.1 概述 3.2 外观特征提取(by CNN) 3.3 基于SNN的车牌识别 3.4 基于时空关系重排序 4.实验 4.1 数据集 4.2 实验设置 4.3 车牌验
    deeplearningECCVbasedVehicle
    admin1月前
    80
  • 论文阅读 - A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers

    一种使用 Transformer 对 Twitter 中的机器人进行鲁棒检测的深度学习方法 论文链接:https:ieeexplore.ieeeielx76287639931271009385071.pd
    论文learningApproachRobustdeep
    admin1月前
    60
  • Learning to Know Where to See: A Visibility-Aware Approach for Occluded Person Re-identification阅读记录

    (1)出发点:现有的几种主流方法一般利用额外的线索(例如,人体姿势信息)来区分人体部位和障碍物&#x
    AwareVisibilitylearningApproachIdentification
    admin1月前
    40
  • 论文阅读:HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning

    论文名字HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning来源会议 the 12th ACM Workshop年份20
    论文EfficientHybridAlphaApproachlearning
    admin1月前
    60
  • 自监督学习BYOL《Bootstrap Your Own Latent:A New Approach to Self-Supervised Learning》

    BYOL算法简要介绍。 论文地址:byol论文链接。 代码链接:https:githubdeepminddeepmind-researchtreemasterbyol 1、self-supervised learning 当
    LatentbootstrapBYOLlearningSupervised
    admin1月前
    60
  • 论文分享--- >Learning to Rank: From Pairwise Approach to Listwise Approach

    博客内容将首发在微信公众号"跟我一起读论文啦啦",上面会定期分享机器学习、深度学习、数据挖掘、自然语言处理等高质量论文,欢迎关注!本篇博文分享和总结
    论文learningGTRankApproach
    admin1月前
    60
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