526互联

semi-supervised distillation adaptation supervised

论文解读（FixMatch）《FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence论文作者：论文来源：2020 aRxiv论文地址： ......
FixMatch Semi-Supervised Consistency Simplifying Confidence

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models 阅读笔记（11.2） 摘要：优化MSE指标通常会导致模糊，特别是在高方差(详细)区域。我们提出了一种基于创建正确降尺度的 ......
Self-Supervised Exploration Generative Supervised Upsampling

Proj. CRR Paper Reading: Optimal Speedup of Las Vegas Algorithms, Adaptive restart for stochastic synthesis

Title Adaptive restart for stochastic synthesis PLDI 2021 Task Distribute the power between multiple runs in stochastic program synthesis to accelerat ......
Algorithms stochastic synthesis Adaptive Optimal

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

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

适配器模式(adapter)

# 适配器模式 ## 1 作用 名字很形象的说出了模式的作用：当有一个需求需要Target的接口，然后有一个现成的Adaptee接口，为了让Adaptee接口匹配上Target接口，就需要使用Adapter，在Adapter中将Adaptee适配Target。 Adapter和Bridge模式都使用 ......
适配器 adapter 模式

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

结构型设计模式-适配器 Adapter

# 结构型设计模式-适配器 Adapter date: April 13, 2021 slug: design-pattern-adapter status: Published tags: 设计模式 type: Page ### 简介 适配器模式是一种结构型设计模式， 它能使接口不兼容的对象能够相 ......
结构型 设计模式 适配器 Adapter 结构

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

[论文阅读] Learning Semi-supervised Gaussian Mixture Model

# Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery ## Abstract 在本文中，我们解决了广义类别发现(generalized category discovery, GCD ......
Semi-supervised supervised Learning Gaussian Mixture

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

Adapter 适配器模式简介与 C# 示例【结构型1】【设计模式来了_6】

〇、简介 1、什么是适配器模式？ 一句话解释： 两个无关联的类，通过实现同一接口或继承对方得到新的适配器类，新的适配器类中通过实现原本类的操作，可达到进行相同的操作的目的。 适配器模式（Apapter Pattern）是一种结构型设计模式，用于将一个类的实现转换成客户端所期望的另一个类，这个类中的操 ......
结构型 模式 设计模式 适配器 示例

【五期邹昱夫】CCF-A（SP'23）3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning

> "Li, Haoyang, et al. "3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning." 2023 IEEE Symposium on Security an ......
Extensible Framework Federated Adaptive Backdoor

日志开源组件（六）Adaptive Sampling 自适应采样

# 业务背景 有时候日志的信息比较多，怎么样才可以让系统做到自适应采样呢？ ## 拓展阅读 [日志开源组件（一）java 注解结合 spring aop 实现自动输出日志](https://houbb.github.io/2023/08/06/auto-log-01-overview) [日志开源组 ......
组件 Adaptive Sampling 日志

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

报错ValueError: Can't find 'adapter_config.json'

# 前言 在做组内2030项目时，我具体做的一个工作是对大模型进行LoRA微调，在整个过程中有许多坑，其中有些值得记录的问题，于是便产生了这篇博客。 # 问题 我在得到微调好的模型后，需要对模型进行性能测评。在加载模型时，遇到如下报错 ``` ValueError: Can't find 'adap ......
adapter_config ValueError 39 adapter config

论文解读（MetaAdapt）《MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning论文作者：Zhenrui Yue、Huimin Z ......
MetaAdapt Misinformation Detection Adaptive Few-Shot

论文解读（WIND）《WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation论文作者：论文来源：2021 ACL论文地址：dow ......
WIND Differentially Model-Agnostic Adaptation Instances

Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Mod...

### 1. Abstract 经过预训练的语言模型（PLM）表现出在通用领域理解文本的出色能力，同时在特定领域中表现不佳。**尽管在大型领域特定语料库上继续预训练是有效的，但调整领域上的所有参数是昂贵的**。在本文中，我们研究了是否可以通过只调整几个参数来有效地调整PLM。具体来说，我们将Tran ......
Domain Mixture-of-Domain-Adapters Pre-trained Decoupling Injecting

论文解读（BSFDA）《Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation论文作者：Shuai Wang, Daoan Zhan ......
Distillation Source-free Adaptation Black-box Knowledge

论文解读（KDSSDA）《Knowledge distillation for semi-supervised domain adaptation》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Knowledge distillation for semi-supervised domain adaptation论文作者：Mauricio Orbes-Arteaga, Jorge Cardoso论 ......
semi-supervised distillation adaptation supervised Knowledge

论文解读（KD-UDA）《Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation论文作者：Yanping Fu, Yun Liu论文来源 ......
Distillation Unsupervised Progressive Adaptation Knowledge

论文解读（CTDA）《Contrastive transformer based domain adaptation for multi-source cross-domain sentiment classification》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Contrastive transformer based domain adaptation for multi-source cross-domain sentiment classification论 ......
domain classification cross-domain multi-source Contrastive

论文解读（UDALM）《UDALM: Unsupervised Domain Adaptation through Language Modeling 》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：UDALM: Unsupervised Domain Adaptation through Language Modeling 论文作者：Constantinos Karouzos, Georgios Pa ......
UDALM Unsupervised Adaptation Language Modeling

论文解读（ECACL）《ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation》

Note：[ wechat：Y466551 | 付费咨询，非诚勿扰 ] 论文信息 论文标题：ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation论文作者：Kai Li, Chang Liu, Handong Zhao, Y ......
ECACL Semi-Supervised Adaptation Supervised Framework

安装canal_adapter

环境:OS:Centos 7canal.adapter:1.1.5mysql:5.7.29 1.解压解压安装包[root@elasticsearch-010007081120 canal]# mkdir -p /home/middle/canal_adapter/[root@elasticsearc ......
canal_adapter adapter canal

论文解读（MCADA）《Multicomponent Adversarial Domain Adaptation: A General Framework》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Multicomponent Adversarial Domain Adaptation: A General Framework论文作者：Chang’an Yi, Haotian Chen, Yonghu ......
Multicomponent Adversarial Adaptation Framework General

SAM适配下游任务的探究：SAM Adapter

本文分享自华为云社区《SAM适配下游任务的探究：SAM Adapter》，作者：Hint。 近期大模型的涌现给AI研究带来显著的发展，META的工作Segment Anything（SAM），就是其中一个为图像分割任务设计的基础大模型。SAM是一种交互型的图像分割大模型，通过提供的prompt如点、 ......
SAM 任务 Adapter
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