526互联

convolutional importance learning networks

Learn Git in 30 days——第 17 天：关于合并的基本观念与使用方式

写的非常好的一个Git系列文章，强烈推荐 原文链接：https://github.com/doggy8088/Learn-Git-in-30-days/tree/master/zh-cn 我曾在【第 08 天：关于分支的基本观念与使用方式】提过关于「分支」的基本观念与用法，现在则要来讲「合并」如何进 ......
观念 方式 Learn days Git

Learning Continuous Image Representation with Local Implicit Image Function

Learning Continuous Image Representation with Local Implicit Image Function（阅读笔记）11.03 局部隐式图像函数（LIIF）表示连续中的图像，可以以任意高分辨率表示。 摘要：如何表示图像？当视觉世界以连续的方式呈现时，机器 ......
Image Representation Continuous Learning Function

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

Unsupervised Degradation Representation Learning f

Unsupervised Degradation Representation Learning for Blind Super-Resolution文献阅读 (2022.09.28)盲超分辨率的退化表征（向量）学习 摘要：大多数基于CNN的SR都是基于退化固定且可知这一假设。但是实际退化和假设不一 ......
Representation Unsupervised Degradation Learning

Learn Git in 30 days——第 16 天：善用版本日志 git reflog 追踪变更轨迹

写的非常好的一个Git系列文章，强烈推荐 原文链接：https://github.com/doggy8088/Learn-Git-in-30-days/tree/master/zh-cn 其实学习 Git 版本控制的指令操作并不难，但要弄清楚 Git 到底对我的仓库做了什么事，还真不太容易。当你一步 ......
轨迹 版本 reflog Learn 日志

Learn Git in 30 days——第 15 天：标签 - 标记版本控制过程中的重要事件

写的非常好的一个Git系列文章，强烈推荐 原文链接：https://github.com/doggy8088/Learn-Git-in-30-days/tree/master/zh-cn 在使用 Git 版本控制的过程中，会产生大量的版本，随着寒暑易节、物换星移，在这众多的版本之中，一定会有一些值得 ......
标记 过程 版本 事件 标签

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

出现这样的报错，该如何处理cannot import name 'soft_unicode' from 'markupsafe' (d:\python39\lib\site-packages\markupsafe\__init__.py)

在使用httprunner学习接口测试的过程中，刚开始学习的是har2case。通过这个将文件转化成yml或者json的格式，在写完一个以yml为后缀的代码后，运行时出现了报错 ERROR No Valid testcases found，exit 1，然后通过尝试多种方法，比如卸载了httprun ......
markupsafe 39 site-packages soft_unicode packages

import 使用变量出错

最近做项目，需要根据config文件里面的值进行不同页面的展示。一开始想着用 v-if 解决算求了，后来发现类型好像有点多，那还是针对路由下手吧。 为此根据类型进行了路径的拼接，然并卵。报错直接告诉我 can not find module ../components/xx 经过查询发现好像webp ......
变量 import

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

SpringBoot-Learning系列之Kafka整合

SpringBoot-Learning系列之Kafka整合 本系列是一个独立的SpringBoot学习系列，本着 What Why How 的思想去整合Java开发领域各种组件。 消息系统 主要应用场景 流量消峰(秒杀 抢购)、应用解耦（核心业务与非核心业务之间的解耦） 异步处理、顺序处理 实时数据 ......
SpringBoot-Learning SpringBoot Learning Kafka

Graph Construction and b-Matching for Semi-Supervised Learning

目录概符号说明图的构建Graph Sparsification\(\epsilon\)-neighborhood graph\(k\)NN graph\(b\)-MatchingGraph Edge Re-Weighting Jebara T., Wang J. and Chang S. Graph ......
Semi-Supervised Construction Supervised b-Matching Matching

No system found in another group for import queue

Symptom You find all the transport requests that in the import queue have a "green arrow" icon, which means the status is "Data file must still be tra ......
another system import found group

export ‘Vue‘ (imported as ‘Vue‘) was not found in ‘vue‘

export 'Vue' (imported as 'Vue') was not found in 'vue' (possible exports: $computed, $fromRefs, $raw, $ref, BaseTransition, Comment, EffectScope, Fra ......
Vue imported export found was

论文解读（LR2E）《Learning to Reweight Examples for Robust Deep Learning》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Learning to Reweight Examples for Robust Deep Learning论文作者：Mengye Ren、Wenyuan Zeng、Bin Yang、Raquel Urta ......
Learning Examples Reweight Robust 论文

Proj CDeepFuzz Paper Reading: Metamorphic Testing of Deep Learning Compilers

## Abstract 背景：Compiling DNN models into high-efficiency executables is not easy: the compilation procedure often involves converting high-level model ......
Metamorphic CDeepFuzz Compilers Learning Reading

Machine learning note(1)

注：本笔记不给出完整解释 ## 正规方程 设$z=\theta^{T}x$ 设损失函数为$J(\theta)$，求令$\frac{\partial J}{\partial \theta}=0$的$\theta$ 由此得出最优的$\theta$ ## 牛顿迭代 回顾一下梯度下降：$\theta'=\t ......
learning Machine note

解决vue3+js unplugin-auto-import/vite 自动引入生效后 页面eslint报错

......
unplugin-auto-import unplugin 页面 import eslint

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

Learn Git in 30 days——第 14 天： Git for Windows 选项设定

写的非常好的一个Git系列文章，强烈推荐 原文链接：https://github.com/doggy8088/Learn-Git-in-30-days/tree/master/zh-cn 使用 Git for Windows 指令列工具绝对比通过 GUI 工具操作来的有效率，原因就在于你可以把许多重 ......
Git Windows Learn days for

Idea中导入import org.junit.Test时飘红

转载自：https://blog.csdn.net/aahdjdb/article/details/132186198 如图，导入import org.junit.Test时飘红 解决方法： 1.选中FIle——Project Structure 2.选择——Libraries——Java 3.找到 ......
import junit Idea Test org

Proj CDeepFuzz Paper Reading: A Comprehensive Study of Deep Learning Compiler Bugs

## Abstract 背景：深度学习编译器处理的深度学习模型与命令式程序有根本的不同，因为深度学习模型中的程序逻辑是隐式的。（the DL models processed by DL compilers differ fundamentally from imperative programs ......
Comprehensive CDeepFuzz Compiler Learning Reading

Proj CDeepFuzz Paper Reading: DeepMutation: Mutation Testing of Deep Learning Systems

## Abstract 本文：DeepMutation Github: https://github.com/berkuva/mutation-testing-for-DNNs Task: mutation testing framework specialized for DL systems t ......
DeepMutation CDeepFuzz Mutation Learning Reading

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

Proj CDeepFuzz Paper Reading: TensorFlow: a system for Large-Scale machine learning

## Abstract 本文:Tensorflow Github: https://github.com/tensorflow/tensorflow Task: Detail on Tensorflow dataflow model 特点: 1. operates at large scale an ......
Large-Scale TensorFlow CDeepFuzz learning Reading

[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

Proj CDeepFuzz Paper Reading: PyTorch: an imperative style, high-performance deep learning library

## Abstract 本文： PyTorch Task: detail the implementation and architecture of PyTorch Github: https://github.com/pytorch/pytorch 特点： 1. PyTorch同时关注可用性和速 ......
high-performance performance imperative CDeepFuzz learning

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
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