Approach

《RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction》阅读笔记

代码 原文地址 预备知识: 1.什么是元学习(Meta Learning)? 元学习或者叫做“学会学习”(Learning to learn),它是要“学会如何学习”,即利用以往的知识经验来指导新任务的学习,具有学会学习的能力。由于元学习可帮助模型在少量样本下快速学习,从元学习的使用角度看,人们也称 ......

【五期李伟平】CCF-A(MobiCom'18 Session EdgeTech'18)A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds

Zafari, Faheem , et al. "A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds." (2018). 为了缓解移动边缘计算中资源稀缺问 ......

《A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction》阅读笔记

代码 原文地址 文档级关系抽取(DocRE)的目的是从文档中提取实体之间的关系,这对于知识图谱构建等应用非常重要。然而,现有的方法通常需要预先识别出文档中的实体及其提及,这与实际应用场景不一致。为了解决这个问题,本文提出了一种新颖的表格到图生成模型(TAG),它能够在文档级别上同时抽取实体和关系。T ......

论文笔记: Attributed Graph Clustering: A Deep Attentional Embedding Approach

论文笔记: Attributed Graph Clustering: A Deep Attentional Embedding Approach 中文名称: 属性图聚类:一种深度注意力嵌入方法 论文链接: https://arxiv.org/abs/1906.06532 背景: ​ 图聚类是发现网络 ......

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

目录概InstructRecInstruction Generation Zhang J., Xie R., Hou Y., Zhao W. X., Lin L., Wen J. Recommendation as instruction following: a large language mo ......

A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease Associations

A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease Associations Shiru Li 1, Minzhu Xie 1, Xi ......

Learning to rank: from pairwise approach to listwise approach

目录概ListNetPermutation ProbabilityTop-k Probability Cao Z., Qin T., Liu T., Tsai M. and Li H. Learning to rank: from pairwise approach to listwise appr ......
approach Learning pairwise listwise to

整理《DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks》

DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks 论文/强化学习可视化 摘要 打算研究深度强化学习方向,整理最近的一篇 2019 年的论文,作为总结思考! 论文介绍 该论文是一篇 2019 年,有关基于可视化进行强化学 ......

模仿学习算法:Data Aggregation Approach: DAGGER算法——Mixing policy

论文: 《A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning》 算法描述: Mixing Policy: ......
算法 Aggregation Approach DAGGER Mixing

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

原文地址:https://arxiv.org/abs/2305.07001 本文作者将用户偏好、意图等构建为指令,并用这些指令调优一个LLM(3B Flan-T5-XL),该方法对用户友好,用户可以与系统交流获取更准确的推荐。 ## INTRODUCTION LLM是建立在自然语言文本上的,它不能直 ......

论文解读(MTEM)《Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification》

Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classific ......

What's the best approach for generating a new API key?

https://stackoverflow.com/questions/14412132/whats-the-best-approach-for-generating-a-new-api-key Edit: I've spoke to a few friends (email/twitter) an ......
generating approach What best API

语音合成技术6:DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model

DuTa-VC: 一种具有扩散概率模型的时长感知典型到非典型语音转换方法 摘要 我们提出了一种新颖的典型到非典型语音转换方法(DuTa-VC),它具有以下特点:(i)可以使用非平行数据进行训练,(ii)首次引入了扩散概率模型,(iii)保留了目标说话者的身份,(iv)了解目标说话者的音素持续时间。D ......

哪篇论文宣布了 HTAP 数据库的诞生? StoneDB带您解读《A Common Database Approach for OLTP and OLAP..》

theme: condensed-night-purple 开启掘金成长之旅!这是我参与「掘金日新计划 · 12 月更文挑战」的第4天,[点击查看活动详情](https://juejin.cn/post/7167294154827890702 "https://juejin.cn/post/7167 ......
Approach Database StoneDB 数据库 数据

论文解读(TAT)《 Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers》

Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers论文作者:Hong Liu, Mingsh ......

Quantitative Approach of Management Science:(better decision making by using quantitative techniques)

Which is the use of **quantitative techniques to improve decision making**. Also known as _management science_. **Better decision making by using quan ......

Behavioral Approach of Management Science: OB(Organizational Behavior)

Managers GTD(get things done) by WWP(working with people). This explains why some writers have chosen to **look at management** by **focusing on the o ......

Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach(1)论文解读

激光光流里程计的基本理解: (1)类比图像光流,假设光强度不变,图像是每个像素点,像素包含灰度值;激光光流,假设障碍物不动,光流是激光范围内的激光点,每个激光点包含距离和角度信息 (2)图像信息求导,得到光强度;激光光流信息求导,得到速度(距离的速度,角度的速度),并可以用分解到笛卡尔坐标系下的速度 ......
Flow-based Odometry Approach Scanner Planar

NIST SP 800-37 Risk Management Framework for Information Systems and Organizations A System Life Cycle Approach for Security and Privacy

NIST SP 800-37 Risk Management Framework for Information Systems and Organizations A System Life Cycle Approach for Security and Privacy It structured ......

拉格朗日插值法 (Lagrange interpolation approach) 学习笔记

Lagrange interpolation approach 是要解决一种如下的问题: 给定 $n$ 个坐标,$(x_1, y_1), (x_2, y_2), \dots, (x_n, y_n)$,确定一个多项式 $f(x) = a_0 + a_1x + a_2x^2 + \dots + a_dx ......

Attributed Graph Clustering |A Deep Attentional Embedding Approach

论文阅读01-Attributed Graph Clustering: A Deep Attentional Embedding Approach 1. 创新点idea Two-step的图嵌入方法不是目标导向的,聚类效果不好,提出一种基于目标导向的属性图聚类框架。 所谓目标导向,就是说特征提取和聚 ......

Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity

Meymandpour R. and Davis J. G. Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity. Knowled ......

迁移学习(MixMatch)《MixMatch: A Holistic Approach to Semi-Supervised Learning》

论文信息 论文标题:MixMatch: A Holistic Approach to Semi-Supervised Learning论文作者:David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Ol ......

【Surface Detection】Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

物体表面缺陷检测现状 传统机器学习局限性 传统机器学习方法对于特定的算法只能解决特定的问题,不够灵活,无法快速适应新产品; 不同的问题有不同的特征,当需要解决新问题时,需要重新设计特征,开发周期长; 深度学习遇到的问题 训练数据数量需求大; 标注精度、耗时需求严格; 计算能力需求高。 该篇paper ......
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