526互联

thoughts specific domains finance

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

目录概主要内容代码 Sun H., Dhingra B., Zaheer M., Mazaitis K., Salakhutdinov R. and Cohen W. W. Open domain question answering using early fusion of knowledge ......
Answering Knowledge Question Domain Fusion

[论文阅读] Generalizing to Unseen Domains: A Survey on Domain Generalization

Generalizing to Unseen Domains: A Survey on Domain Generalization 代码地址：https://github.com/jindongwang/transferlearning/tree/master/code/DeepDG I. Intr ......
Generalization Generalizing Domains Domain Unseen

[917] Replace text in a specific table within a Word document using Python

To replace text in a specific table within a Word document using Python, you can use the python-docx library to access and modify the content of the t ......
document specific Replace Python within

Internet-augmented language models through few-shot prompting for open-domain question answering阅读笔记

Internet-augmented language models through few-shot prompting for open-domain question answering 其实我没怎么正经读过论文，尤其是带实验的，我目前认真读过的（大部头）也就是一些LLM的综述。记录这个文档主 ......
Internet-augmented open-domain augmented answering prompting

[论文阅读] Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization 论文源码：https://github.com/YBZh/EFDM 1. Introduction 传统的特征分布匹配 ......
Generalization Distribution Arbitrary Matching Transfer

【PRC】鲁棒跨域伪标记和对比学习的无监督域自适应NIR-VIS人脸识别 Robust Cross-Domain Pseudo-Labeling and Contrastive Learning for Unsupervised Domain Adaptation NIR-VIS Face Recognition

【该文章为杨学长的文章，膜拜】 探索跨领域数据中的内在关系并学习领域不变表示 由于需要在低光照条件下实现24h的人脸识别，近红外加可见光的(NIR-VIS)人脸识别受到了更多的关注。但是数据标注是一个难点。该文章提出了Robust crossdomain Pseudo-labeling and Co ......
NIR-VIS Domain 人脸 Pseudo-Labeling Cross-Domain

java框架中的controller层、dao层、domain层、service层、view层【转】

1.Controller层:接口层，用户访问请求时对接。 Controller层负责具体的业务模块流程的控制，在此层里面要调用Serice层的接口来控制业务流程，控制的配置也同样是在Spring的配置文件里面进行，针对具体的业务流程，会有不同的控制器，我们具体的设计过程中可以将流程进行抽象归纳，设计 ......
controller 框架 service domain java

DDD（Domain-Driven Design，领域驱动设计）

一、什么是DDD DDD指通过统一语言、业务抽象、领域划分和领域建模等一些列手段来控制软件复杂度的方法论，主要是用来指导如何解耦业务系统，划分业务模块，定义业务领域模型及其交互。 二、领域驱动 开发过程不再以数据模型为起点，而是以领域模型为出发点，领域模型对应业务实体。 程序中主要表现为类、聚合根和 ......
Domain-Driven 领域 Domain Design Driven

Unix domain socket 简介

原文: https://www.cnblogs.com/sparkdev/p/8359028.html Unix domain socket 又叫 IPC(inter-process communication 进程间通信) socket，用于实现同一主机上的进程间通信。socket 原本是为网络通 ......
简介 domain socket Unix

【论文笔记】A theory of learning from different domains

防盗 https://www.cnblogs.com/setdong/p/17756127.html domain adaptation 领域理论方向的重要论文. 这篇笔记主要是推导文章中的定理, 还有分析定理的直观解释. 笔记中的章节号与论文中的保持一致. 1. Introduction doma ......
different learning domains 笔记 theory

SAP ABAP 域(domain)固定值读取方法

1 SELECT SINGLE VALPOS 2 FROM DD07V 3 INTO @DATA(GT_DD07V) 4 WHERE DOMNAME = 'ZSTUTYPE' AND VALPOS = @P_ZSTUTYP."域名和值 5 IF SY-SUBRC <> 0. 6 MESSAGE TE ......
方法 domain ABAP SAP

DDD（Domain-Driven Design，领域驱动设计）

DDD（Domain-Driven Design，领域驱动设计）是一种软件开发方法论，它注重对业务领域的深入理解，并将领域模型作为软件设计的核心。在DDD中，领域模型是通过对业务领域的分析和抽象而得到的，它是对业务领域中的概念、规则、行为等的描述。 领域模型的设计是DDD中的一个重要环节，它需要开发 ......
Domain-Driven 领域 Domain Design Driven

domain 词

ba bo be x bi bu ca x co x ce x ci x cu x da do x de di du fa fo x fe x fi x fu ga x go x ge gi x gu ha ho x he hi x hu ja x jo x je x ji ju ka ko x k ......
domain

Some Recent Thoughts Wrritten By NiuJiawen-2019141490165

Recently, many students who are junior year are taking part in interviews for exempt students. Some have obtained satisfactory offers, whereas, others ......
2019141490165 NiuJiawen Thoughts Wrritten Recent

Domain Admin域名和SSL证书过期监控到期提醒

基于Python3 + Vue3.js 技术栈实现的域名和SSL证书监测平台 用于解决，不同业务域名SSL证书，申请自不同的平台，到期后不能及时收到通知，导致线上访问异常，被老板责骂的问题 核心功能：域名 和SSL证书 的过期监控，到期提醒 支持证书：单域名证书、多域名证书、通配符证书、IP证书、自 ......
证书 域名 Domain Admin SSL

How to clone git repository with specific revision/changeset?

How to clone git repository with specific revision/changeset? 回答1 UPDATE 2 Since Git 2.5.0 the feature described below can be enabled on server side w ......
repository changeset specific revision clone

mybatisplus中设置乐观锁，首先需要在表结构中添加一个字段表示乐观锁，之后再domain中对应的字段中添加上注解@Version，之后需要添加乐观锁的拦截器，然后在测试方法中进行测试

2023-09-10 version字段表示乐观锁 在表结构中添加一个字段表示乐观锁 package com.hh.domain; import com.baomidou.mybatisplus.annotation.TableLogic; import com.baomidou.mybatispl ......
字段 注解 mybatisplus Version 结构

Implementing Domain Driven Design (Part Three)

# Example Use Cases This section will demonstrate some example use cases and discuss alternative scenarios. ## Entity Creation Creating an object from ......
Implementing Domain Design Driven Three

Implementing Domain Driven Design (Part Two)

# Implementation: The Building Blocks This is the essential part of this guide. We will introduce and explain some **explicit rules** with examples. Y ......
Implementing Domain Design Driven Part

论文解读（CST）《Cycle Self-Training for Domain Adaptation》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Cycle Self-Training for Domain Adaptation论文作者：Hong Liu, Jianmin Wang, Mingsheng Long论文来源：2021 论文地址：down ......
Self-Training Adaptation Training Domain 论文

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

论文精读：带有源标签自适应的半监督域适应（Semi-Supervised Domain Adaptation with Source Label Adaptation）

# Semi-Supervised Domain Adaptation with Source Label Adaptation 具有源标签适应的半监督域适应 >[原文链接](https://openaccess.thecvf.com/content/CVPR2023/papers/Yu_Semi- ......
Adaptation Semi-Supervised Supervised 标签 Domain

Xcode,swift:Error Domain=kCLErrorDomain Code=1 "(null)"问题解决

问题描述: iOS开发时,当使用用户的位置权限时,获取用户经纬度报错:Error Domain=kCLErrorDomain Code=1 "(null)",错误域=kCLError域代码=1“（null）” 解决方法: 打开模拟机的设置-通用-语言与地区 将地区设置为中国(如果你的开发位置在中国的 ......
quot kCLErrorDomain Domain 问题 Xcode

Implementing Domain Driven Design (A practical guide for implementing the Domain Driven Design with the ABP Framework)

##CONTENTS **Introduction**.................................................. * **Goal**...................................................... * **Sim ......
Domain Design Driven Implementing implementing

论文解读（SPGJL）《Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis论文作者：Jingli Shi、Weihua Li、Quan Bai ......
Cross-Domain Sentiment Analysis Learning Prompt

论文解读（WDGRL）《Wasserstein Distance Guided Representation Learning for Domain Adaptation》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Wasserstein Distance Guided Representation Learning for Domain Adaptation论文作者：Jian Shen、Yanru Qu、Weinan ......
Representation Wasserstein Adaptation Distance Learning

论文解读（AdSPT）《Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis论文作者：Hui Wu、Xiaodong Shi论文来源：2022 ACL ......
Cross-Domain Adversarial Sentiment Analysis Prompt

论文解读（DEAL）《DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification论文作者：Nan Yin、Li Shen、Baop ......
DEAL Classification Unsupervised Graph-level Framework

论文解读（PERL）《PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models论文作者：Eyal Ben-D ......
PERL Contextualized Pivot-based Pre-trained Adaptation

论文解读（TAMEPT）《A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification》

论文信息 论文标题：A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification论文作者：Yunlong Feng, Bohan Li, Libo Qin, Xiao Xu, ......
Self-Supervised Classification Distillation Cross-Domain Supervised
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