JZTXT

understanding plasticity networks neural

Cannot initiate the connection to cn.archive.ubuntu.com:80 (2403:2c80:5::6). - connect (101: Network is unreachable)

版本：ubuntu 22.04 Cannot initiate the connection to cn.archive.ubuntu.com:80 (2403:2c80:5::6). - connect (101: Network is unreachable) 嗯，被墙了。找到 /etc/apt ......
unreachable connection initiate archive Network

Linux namespace之：network namespace

Linux namespace系列文章 理解network namespace network namespace用来隔离网络环境，在network namespace中，网络设备、端口、套接字、网络协议栈、路由表、防火墙规则等都是独立的。 因network namespace中具有独立的网络协议栈 ......
namespace network Linux

[IJCAI 2023]Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network

[IJCAI 2023]Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network 文章设计了一种基于社区的医疗保险欺诈行为检测。 模型 为了提高精度，模型设计了一组异构 ......
Diffusion-based Fraudsters Diffusion Organized Fighting

APR does not understand this error code【Svn】

背景： 金蝶云星空协同开发模式，源代码使用的是svn。 业务场景： 打开BOS设计器，svn报错： 发生时间： 2023-09-18 08:44:01 错误来源： System.Windows.Forms 错误信息： Error running context: APR does not under ......
understand error does code this

yarn 出现 【 info There appears to be trouble with your network connection. Retrying... 】超时问题解决

第一种解决方案 # 调整为taobao镜像源 yarn config set registry https://registry.npm.taobao.org 我用了没用，可以试试 第二种解决方案 要在项目根目录下创建后缀名为 .yarnrc 的文件，并设置 network-timeout 的值为 ......
connection Retrying appears network trouble

Sensor Network

题目描述 A wireless sensor network consists of autonomous sensors scattered in an environment where they monitor conditions such as temperature, sound, an ......
Network Sensor

docker network

docker network 常用命令 docker network ls 查看所有的网络模式 docker network create 创建网络模式 docker network rm 删除网络模式 docker network inspect xxx 查看网络模式的信息 网络模式 bridge ......
network docker

VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE

（VGG）VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION 阅读笔记（22.10.05） 摘要：本文研究在大规模图像识别设置中卷积网络深度对其准确性的影响。主要贡献是对使用（3，3）卷积核的体系结构增加深度的网络进行 ......
CONVOLUTIONAL NETWORKS LARGE VERY DEEP

VDSR-Accurate Image Super-Resolution Using Very Deep Convolutional Networks阅读笔记

Accurate Image Super-Resolution Using Very Deep Convolutional Networks（VDSR）阅读笔记（22.10.07）使用深度卷积网络的精确图像超分辨率 摘要：使用一个非常深的卷积神经网络，灵感来源于VGG-Net。本文发现，网络深度增加 ......
Super-Resolution VDSR-Accurate Convolutional Resolution Accurate

Understanding UML in seconds

UML 是一种分析设计语言，也就是一种建模语言。 UML结构解析 UML其结构主要包括以下几个部分： 视图（View） 多个图形组成的集合； 图（Diagram） 图的种类有13种图，但常用的也就两种（1.需求用例图，2.开发类图）； 模型元素（Model Element） 如类、对象、消息以及这些 ......
Understanding seconds UML in

web DevOps / qemu / kvm nat / kvm network / danei network

s [root@euler share]# rpm -qa | grep openssh # 查看ssh openssh-8.8p1-21.oe2203sp2.x86_64 openssh-server-8.8p1-21.oe2203sp2.x86_64 openssh-clients-8.8p1- ......
network kvm DevOps danei qemu

linux报错“Failed to start LSB: Bring up/down networking.”

1 简介 虚拟机安装CentOs7完成后，配置静态网络，重启网络失败 执行ststemctl status network.service 发现报错：Failed to start LSB: Bring up/down networking 2 原因 由于centos7中没有70-persisten ......
networking Failed linux Bring start

How Expressive are Graph Neural Networks in Recommendation

[TOC] > [Cai X., Xia L., Ren X. and Huang C. How expressive are graph neural networks in recommendation? CIKM, 2023.](http://arxiv.org/abs/2308.11127) ......
Recommendation Expressive Networks Neural Graph

Proj CDeepFuzz Paper Reading: Testing Deep Neural Networks

## Abstract 本文:DeepCover Github: https://github.com/TrustAI/DeepCover Task: propose 4 novel test criteria to test DNNs Method: inspired by MC/DC cover ......
CDeepFuzz Networks Reading Testing Neural

[network] netcat install in windows os

# Netcat Install in Windows OS + Netcat is a simple `Unix` tool. it uses `UDP` , `TCP` Protocol. > Netcat 是一个可靠的容易被其他程序所启用的后台操作工具，同时它也被用作**网络的测试工具**或* ......
network install windows netcat in

Proj CDeepFuzz Paper Reading: SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks

## Abstract 本文：SparseProp Github: https://github.com/IST-DASLab/sparseprop Task: a back-propagation algo for sparse training data, a fast vectorized i ......
Backpropagation SparseProp CDeepFuzz Efficient Networks

Spikformer: When Spiking Neural Network Meets Transformer

郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ Published as a conference paper at ICLR 2023（同大组工作） ABSTRACT 我们考虑了两种生物学合理的结构，脉冲神经网络（SNN）和自注意机制。前者为深度学习提供了一种节能且事件驱动的范式，而 ......
Transformer Spikformer Network Spiking Neural

Proj CDeepFuzz Paper Reading: Decompiling x86 Deep Neural Network Executables

## Abstract 本文: BTD github: https://github.com/monkbai/DNN-decompiler/ Task: a decompiler for DNN models to output DNN specifications including: opera ......
Decompiling Executables CDeepFuzz Network Reading

BZOJ3732 Network 题解 Kruskal重构树入门题

题目链接：[https://hydro.ac/d/bzoj/p/3732](https://hydro.ac/d/bzoj/p/3732) 题目大意： 给定一个图，每次询问两个点 $u$ 和 $v$，在 $u$ 到 $v$ 的所有路径中找一条路径，且这条路径上的所有边的边权最大值最小。 解题思路： ......
题解 Network Kruskal BZOJ 3732

【ICML2022】Understanding The Robustness in Vision Transformers

来自NUS&NVIDIA 文章地址：[2204.12451] Understanding The Robustness in Vision Transformers (arxiv.org) 项目地址：https://github.com/NVlabs/FAN 一、Motivation CNN使用滑动 ......
Understanding Transformers Robustness Vision ICML

Proj CDeepFuzz Paper Reading: DeepTest: automated testing of deep-neural-network-driven autonomous cars

## Abstract 本文: DeepTest Task: a systematic testing tool for DNN-driven vehicles Method: 1. generated test cases with real-world changes like rain, fo ......
deep-neural-network-driven autonomous CDeepFuzz automated DeepTest

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

# Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations [TOC] > [Huang L., Ma Y., Liu Y., Du B., Wang S. and Li ......
Position-Enhanced Recommendations Convolutional Time-aware Sequential

Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)

长尾问题是个老大难问题了。 在推荐中可以是用户/物料冷启动，在搜索中可以是中低频query、文档，在分类问题中可以是类别不均衡。长尾数据就像机器学习领域的一朵乌云，飘到哪哪里就阴暗一片。今天就介绍来自Google的一篇解决长尾物品推荐的论文。 ......
Recommendation Empowering Decoupling Long-tail Network

Proj CDeepFuzz Paper Reading: Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation

## Abstract 背景： 1. the de facto standard to assess the quality of DNNs in the industry is to check their performance (accuracy) on a collected set of ......
Labeling-Free Estimation CDeepFuzz Efficient Accuracy

Proj CDeepFuzz Paper Reading: An Extensive Study on Pre-trained Models for Program Understanding and Generation

## Abstract ## 1. Intro ## 2. Background ### 2.1 Program Understanding and Generation Tasks ### 2.2 NL-PL Pre-Trained Models ![](https://img2023.cnblo ......
Understanding Pre-trained Generation CDeepFuzz Extensive

论文阅读 《Pingmesh: A Large-Scale System for Data Center Network Latency Measurement and Analysis》

背景 在我们内部产品中，一直有关于网络性能数据监控需求，我们之前是直接使用 ping 命令收集结果，每台服务器去 ping (N-1) 台，也就是 N^2 的复杂度，稳定性和性能都存在一些问题，最近打算对这部分进行重写，在重新调研期间看到了 Pingmesh 这篇论文，Pingmesh 是微软用来监 ......
Large-Scale Measurement Pingmesh Analysis Network

解决：docker 443: connect: network is unreachable

1、配置镜像加速器 您可以通过修改daemon配置文件/etc/docker/daemon.json来使用加速器 sudo mkdir -p /etc/docker sudo tee /etc/docker/daemon.json <<-'EOF' { "registry-mirrors": ["h ......
unreachable connect network docker 443

CF1023F Mobile Phone Network 题解

## 题意 给出 $n$ 个点，$k$ 条未钦定边权的边和 $m$ 条已钦定边权的边，要求为这 $k$ 条未指定边权的边分配权值使其均在图的最小生成树中且最大化这 $k$ 条边的边权之和。 （$1 \le n,k,m \le 5 \times 10^5$）。 ## 题解 首先满足要求这 $k$ 条边 ......
题解 Network Mobile 1023F Phone

学习笔记：DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting ICML2022 论文地址：https://proceedings.mlr.press/v162/lan22a.html ......
Spatial-Temporal Forecasting Temporal DSTAGNN Dynamic

[KDD 2023] All in One- Multi-Task Prompting for Graph Neural Networks

# [KDD 2023] All in One- Multi-Task Prompting for Graph Neural Networks ## 总结 提出了个多任务prompt学习框架，扩展GNN的泛化能力： 1. 统一了NLP和图学习领域的prompt格式，包括prompt token、to ......
Multi-Task Prompting Networks Neural Graph
共460篇  :6/16页 首页上一页6下一页尾页