deep dive evan with

迁移学习(COAL)《Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment》

论文信息 论文标题:Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment论文作者:Shuhan Tan, Xingchao Peng, Kate Saenko论文来源:ICLR 2020论文地址:downl ......

【五期邹昱夫】arXiv(22)iDLG: Improved Deep Leakage from Gradients

"Zhao B, Mopuri K R, Bilen H. idlg: Improved deep leakage from gradients[J]. arXiv preprint arXiv:2001.02610, 2020." 本文发现共享梯度肯定会泄露数据真实标签。我们提出了一种简单但可靠的 ......
Gradients Improved Leakage arXiv Deep

Heterogeneous Deep Graph Infomax

Ren Y., Liu B., Huang C., Dai P., Bo L. and Zhang J. Heterogeneous deep graph infomax. arXiv preprint arXiv:1911.08538, 2019. 概 本文介绍了异构图的一种无监督学习方法. 这里 ......
Heterogeneous Infomax Graph Deep

cocoapods Xcode 14.3 Archive Command PhaseScriptExecution failed with a nonzero exit code

Xcode 升级到14.3 进行 Archive Command PhaseScriptExecution failed with a nonzero exit code 解决方法 Xcode 搜索 source="$(readlink -f "${source}")" 将 source="$(re ......

【五期邹昱夫】CCF-A(NeurIPS'19)Deep leakage from gradients.

"Zhu, Ligeng, Zhijian Liu, and Song Han. "Deep leakage from gradients." Advances in neural information processing systems 32 (2019)." 本文从公开共享的梯度中获得私有训 ......
gradients NeurIPS leakage CCF-A Deep

文献阅读《AcsiNet: Attention-Based Deep Learning Network for CSI Prediction in FDD MIMO Systems》

这篇文献的作者是南华大学的林文斌老师,于2023年3月3日发表在IEEE WIRELESS COMMUNICATIONS LETTERS。 文章直接对上行 CSI 矩阵使用离散傅里叶逆变换进行压缩,然后将其输入一个基于注意力(attention-based)的深度学习网络,该网络可以专注于关键的 C ......

is blocked because of many connection errors; unblock with 'mysqladmin flush-hosts'

指定允许连接不成功的最大尝试次数。5.7默认是100;如果到达这个数,那么服务器将不再允许新的连接,即便mysql仍正常对外提供服务。所以可以将这个参数设置为几万。 show variables like 'max_connect_errors'; //最大链接错误次数 可以提供最大的链接错误次数 ......

An item with the same key has already been added.

开发环境:.Net Core 3.1,NPOI 2.6.0 前言:复制行数据时,提示错误如下: An item with the same key has already been added. Key: 0 at System.Collections.Generic.Dictionary`2.Tr ......
already added item been with

mysql——with xxx as生成临时表

1、with xxx as (select "a" as name,1 as age union all select "b",2) 生成一张叫xxx的临时表 name age a 1 b 2 2、with xxx as (select a字段 from b表),xxx2 as (select a2 ......
mysql with xxx

Plugin ‘Android WiFi ADB’ is compatible with IntelliJ IDEA only because it doesn’t define any explicit module dependencies

Plugin ‘Android WiFi ADB’ is compatible with IntelliJ IDEA only because it doesn’t define any explicit module dependencies Android Studio 中安装 Android ......

How to fix use the cURL to connect to GitHub with a 443 HTTPS error All In One

How to fix use the cURL to connect to GitHub with a 443 HTTPS error All In One curl: (7) Failed to connect to raw.githubusercontent.com port 443: 拒绝连接... ......
to connect GitHub HTTPS error

Jenkins官网实例----Build a Java app with Maven

Build a Java app with Maven 来自 <https://www.jenkins.io/doc/tutorials/build-a-java-app-with-maven/> 先创建network docker network create jenkins 运行容器jenkin ......
实例 Jenkins Build Maven Java

论文解读《Automatically discovering and learning new visual categories with ranking statistics》

论文信息 论文标题:Automatically discovering and learning new visual categories with ranking statistics论文作者:K. Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhard ......

五天学会Deep Learning

五天学完deep learning。。。。。。是时候来证明chatGPT和new bing的能力了。。。。。。 DAY1 Sigmoid function Sigmoid 函数是一种常用的激活函数,它将输入值映射到 0 和 1 之间。它的公式为 f(x) = 1 / (1 + e^-x)。Sigmo ......
Learning Deep

启动SSH服务报:Job for ssh.service failed because the control process exited with error code.......

Job for ssh.service failed because the control process exited with error codesee systemctl status ssh.service and journalctl -xe for details.然后按照提示输入: ......
because control service process failed

论文解读(PAWS)《Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples》

论文信息 论文标题:Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples论文作者:Mahmoud Assran, Mathi ......

安装anaconda遇到问题:Error: Due to incompatibility with several Python libraries, 'Destination Folder' cannot contain non-ascii characters (special characters or diacritics). Please choose another location.

-今天安装anaconda遇到一个问题:Error: Due to incompatibility with several Python libraries, 'Destination Folder' cannot contain non-ascii characters (special cha ......

DFCN:Deep Fusion Clustering Network

论文阅读05-DFCN:Deep Fusion Clustering Network 论文信息 论文地址:[DFCN][2012.09600] Deep Fusion Clustering Network (arxiv.org) 论文代码:WxTu/DFCN: AAAI 2021-Deep Fusi ......
Clustering Network Fusion DFCN Deep

Deep graph clustering with enhanced feature representations for community detection

论文阅读03-EFR-DGC:Enhanced Feature Representations for Deep Graph Clustering 论文信息 论文地址:Deep graph clustering with enhanced feature representations for co ......

Structural Deep Clustering Network:SDCN

论文阅读02-Structural Deep Clustering Network 模型创新点 我们提出了一种用于深度聚类的新型结构深度聚类网络 (SDCN)。所提出的 SDCN 有效地将自动编码器和 GCN 的优势与新颖的交付算子和双自监督模块结合在一起。据我们所知,这是第一次明确地将结构信息应用 ......
Structural Clustering Network Deep SDCN

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 ......

FastGCN Fast Learning with Graph Convolutional Networks via Importance Sampling

Chen J., Ma T. and Xiao C. FastGCN: fast learning with graph convolutional networks via importance sampling. ICLR, 2018. 概 一般的 GCN 每层通常需要经过所有的结点的 prop ......

[LeetCode] 1042. Flower Planting With No Adjacent

You have n gardens, labeled from 1 to n, and an array paths where paths[i] = [xi, yi] describes a bidirectional path between garden xi to garden yi. I ......
LeetCode Adjacent Planting Flower 1042

how to use cURL with a variable in the URL string All In One

how to use cURL with a variable in the URL string All In One 如何在 cURL 的 URL 字符串中使用变量 系统变量 环境变量 shell 变量 ......
variable string cURL with how

Stochastic Training of Graph Convolutional Networks with Variance Reduction

Chen J., Zhu J. and Song L. Stochastic training of graph convolutional networks with variance reduction. ICML, 2018. 概 我们都知道, GCN 虽然形式简单, 但是对于结点个数非常多的 ......

how to create one command line configuration tool with shell language on Linux All In One

how to create one command line configuration tool with shell language on Linux All In One 如何在 Linux 上用 shell 语言创建一个命令行配置工具 raspi-config ......
configuration language command create Linux

vue深度选择器 /deep/ ::v-deep >>>的使用

css中通常会在 style 标签内添加 scoped 来避免父组件对子组件的影响,添加了之后只能修改当前组件的样式。 这样做的原理是通过在打包的时候给每个样式都添加一个独一无二的hash值,从而避免父组件对子组件的样式的影响。 如果去掉scoped的话就会影响全局样式,但是加上scoped又不能在 ......
deep 深度 gt v-deep vue

Pytorch深度学习全流程代码框架——Base Codes for Deep Learning Using Pytorch

# 导入必要的库 import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader, Dataset # 定义超参数 epochs = 10 # 训练轮数 lr ......
Pytorch 框架 深度 Learning 流程

Graphs with Python: Overview and Best Libraries

Graphs with Python: Overview and Best Libraries Graph analysis, interactive visualizations, and graph machine learning A graph is a relatively old mat ......
Libraries Overview Graphs Python Best

Guide to Regen on VW Passat TDI with Launch x-431 Pro5

Launch X-431 PRO5 opens the era of innovative dual diagnostic modes (local diagnosis and SmartLink remote diagnosis). It inherits the powerful diagnos ......
Passat Launch Guide Regen Pro5