526互联

error-resilient aggregation approaches preserving

《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 ......
Relation Document-Level Relation-Aware Extraction Prototype

【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 ......
Multi-Objective Game-Theoretic Allocation Objective Theoretic

《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 ......
Document-Level Table-to-Graph Generation Extraction Approach

Generalised f-Mean Aggregation for Graph Neural Networks

目录概符号说明GenAgg代码 Kortvelesy R., Morad S. and Prorok A. Generalised f-mean aggregation for graph neural networks. NIPS, 2023. 概 基于 MPNN 架构的 GNN 主要在于 agg ......
Generalised Aggregation Networks f-Mean Neural

High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation

目录简介创新点内容Entropy Coding Using Multistage Context Model模型结构残差邻域注意力块Residual Neighborhood Attention Block RNAB激活函数 高斯误差线性单元激活函数GELU并行解码 简介 创新点 Integrate ......
High-Efficiency Neighborhood Aggregation Information Efficiency

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 ......
Attentional Attributed Clustering Embedding Approach

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 ......
Recommendation Instruction Following Empowered Approach

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 ......
Recommendation Micro-Disease Associations Bipartite Potential

微信小程序开发的聚合函数排序.aggregate.sort

'use strict'; const db = uniCloud.database() //对数据库的对象获取； exports.main = async (event, context) => { let start = new Date().getTime(); const collectio ......
函数 aggregate sort

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

Cost Aggregation with Transformers for Sparse Correspondence-读书笔记

Cost Aggregation with Transformers for Sparse Correspondence:2022 背景: 该论文结合了SuperGlue和CATs，将里面所有手工制作的部分都代替了。将CATs引入该模型，用Transformer取代手工制作的成本聚合方法，用于具有自 ......
Correspondence Transformers Aggregation 笔记 Sparse

DELL服务器启动报错there are offline or missing virtual drivers with preserved cache

生产一台服务器硬盘故障报错，关机拔出硬盘装入新硬盘，启动要进入阵列卡系统，启动无法进入，报错 There are offline or missing virtual drives with preserved cache. Please check the cables and ensure th ......
preserved offline missing drivers virtual

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 ......
Understand Q-Networks Analytics Approach Networks

【解决】elasticsearch：Could not parse aggregation keyed as [%s]问题

背景 在做elasticsearch集群从原来的2.x版本升级到更新版本如6.x过程中，由于需要在原来的应用中，同时连接2.x的集群以及6.x的集群来做在线动态灰度切流量，保证流量平滑切换，有问题可随时回切；一般在应用侧比较常规的做法是使用elasticsearch提供rest的sdk:Java H ......
elasticsearch aggregation 问题 Could keyed

ORA-01078: failure in processing system parameters ORA-00093: pga_aggregate_limit must be between 2048M and 100000G

在启动数据库实例时报错： ORA-01078: failure in processing system parametersORA-00093: pga_aggregate_limit must be between 2048M and 100000G 原因： 该报错是由于设置的pga_aggre ......
pga_aggregate_limit processing parameters ORA aggregate

【流行前沿】DRAG Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data

今天再分享一篇9月的联邦学习领域处理异构数据分布的文章。看挂名是复旦的王昕，总的来说只能算是踏实的工作，但是新意上确实不太够。 文章的主要处理对象是解决异构数据在联邦训练中的client-drift问题，当然与很多相似论文一样，也将这个方法迁移到了拜占庭攻击的防范上。不过这个robustness仅通 ......
Divergence-based Aggregation Divergence Federated Adaptive

【解惑】时间规划，Linq的Aggregate函数在计算会议重叠时间中的应用

在繁忙的周五，小悦坐在会议室里，面前摆满了各种文件和会议安排表。她今天的工作任务是为公司安排下周的50个小会议，这让她感到有些头疼。但是，她深吸了一口气，决定耐心地一个一个去处理。 首先，小悦仔细地收集了每个会议的相关信息，包括会议的主题、目的、预计参加人数、所需设备和预计的开始和结束时间等。她需要 ......
时间 函数 Aggregate 会议 Linq

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

【CVPR2022】Shunted Self-Attention via Multi-Scale Token Aggregation

来自CVPR2022 基于多尺度令牌聚合的分流自注意力 论文地址：[2111.15193] Shunted Self-Attention via Multi-Scale Token Aggregation (arxiv.org) 项目地址：https://github.com/OliverRensu ......
Self-Attention Aggregation Multi-Scale Attention Shunted

Transformer-empowered Multi-scale Contextual Matching and Aggregation for

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution（阅读文献）10.12 基于变压器的磁共振多对比度超分辨率多尺度背景匹配与聚合 摘 ......
Transformer-empowered Transformer Multi-scale Aggregation Contextual

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 ......
Recommendation Instruction Following Empowered Approach

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 ......
Meta-Tsallis-Entropy Classification Self-Training Minimization Adaptation

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

Vector Aggregate

官网地址：https://vector.dev/ 聚合文档地址：https://vector.dev/docs/reference/configuration/transforms/aggregate/ 解释： [transforms.my_transform_id] type = "aggrega ......
Aggregate Vector

STATA preserve restore交替配合使用

preserve keep in 1/1048575 save d:\te\安徽1,replace restore preserve keep in 1048576/2000000 save d:\te\安徽2,replace restore keep in 2000000/2583957 save ......
preserve restore STATA

【五期邹昱夫】CCF-A（TIFS'23）SAFELearning: Secure Aggregation in Federated Learning with Backdoor Detectability

> "Zhang, Zhuosheng, et al. "SAFELearning: Secure Aggregation in Federated Learning with Backdoor Detectability." IEEE Transactions on Information For ......
Detectability SAFELearning Aggregation Federated Backdoor

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 ......
Typical-to-atypical Duration-aware Probabilistic Conversion Diffusion

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

SAP CDS view 里的 Aggregation Expression

`SAP ABAP CDS`（Core Data Services）视图是SAP系统中的一种建模工具，用于定义数据模型和数据库视图。CDS视图允许开发者创建高级数据模型，可以从多个数据库表中提取数据，并在SAP应用程序中使用。在CDS视图中，"Aggregation Expressions"（聚合表 ......
Aggregation Expression view SAP CDS

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 ......
Transferable Adversarial Classifiers Adapting Approach
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