526互联

domain unsupervised adversarial contrastive

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

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（CBL）《CNN-Based Broad Learning for Cross-Domain Emotion Classification》

Note：[ wechat：Y466551 | 付费咨询，非诚勿扰 ] 论文信息 论文标题：CNN-Based Broad Learning for Cross-Domain Emotion Classification论文作者：Rong Zeng, Hongzhan Liu , Sancheng ......
Classification Cross-Domain CNN-Based Learning Emotion

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

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

论文解读（SentiX）《SentiX: A Sentiment-Aware Pre-Trained Model 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：SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis论文作者：Jie Zhou, Junfeng T ......
Sentiment SentiX Sentiment-Aware Cross-Domain Pre-Trained

论文解读（TAT）《 Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers论文作者：Hong Liu, Mingsh ......
Transferable Adversarial Classifiers Adapting Approach

论文解读（SimGCL）《Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation论文作者：Junliang Yu ......
Graph Recommendation Augmentations Contrastive Necessary

论文解读（LightGCL）《LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation论文作者：Cai, Xuheng and Huang, ......
LightGCL Recommendation Contrastive Effective Learning

论文解读（AAD）《Knowledge distillation for BERT unsupervised 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 BERT unsupervised domain adaptation论文作者：Minho Ryu、Geonseok Lee、Kichun Lee论文来 ......
distillation unsupervised adaptation Knowledge domain

论文解读（Moka‑ADA）《Moka‑ADA: adversarial domain adaptation with model‑oriented knowledge adaptation 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：Moka‑ADA: adversarial domain adaptation with model‑oriented knowledge adaptation for cross‑domain senti ......
adaptation domain Moka adversarial ADA

论文解读（MCD）《Maximum Classifier Discrepancy for Unsupervised Domain Adaptation》

Note：[ wechat：Y466551 | 付费咨询，非诚勿扰 ] 论文信息 论文标题：Maximum Classifier Discrepancy for Unsupervised Domain Adaptation论文作者：Kuniaki Saito, Kohei Watanabe, Y. ......
Unsupervised Discrepancy Classifier Adaptation Maximum

论文解读（DWL）《Dynamic Weighted Learning for Unsupervised Domain Adaptation》

[ Wechat：Y466551 | 付费咨询，非诚勿扰 ] 论文信息 论文标题：Dynamic Weighted Learning for Unsupervised Domain Adaptation 论文作者：Jihong Ouyang、Zhengjie Zhang、Qingyi Meng论文来 ......
Unsupervised Adaptation Weighted Learning Dynamic

论文解读（APCA）《Adaptive prototype and consistency alignment for semi-supervised domain adaptation》

[ Wechat：Y466551 | 付费咨询，非诚勿扰 ] 论文信息 论文标题：Adaptive prototype and consistency alignment for semi-supervised domain adaptation论文作者：Jihong Ouyang、Zhengjie ......
semi-supervised consistency adaptation supervised prototype

论文解读（）《Cluster Alignment with a Teacher for Unsupervised Domain Adaptation》

Note：[ wechat：Y466551 | 付费咨询，非诚勿扰 ] 论文信息 论文标题：Cluster Alignment with a Teacher for Unsupervised Domain Adaptation论文作者：Zhijie Deng, Yucen Luo, Jun Zhu论 ......
Unsupervised Adaptation Alignment Cluster Teacher

加了域的计算机无法更改时间,加入域用户(DOMAIN USER)后如何修改系统时间

1、打开域控组策略管理 2、编辑计算机配置 策略 Windows设置 安全策略 本地策略 用户权限分配 更改系统时间 3、修改系统时间 ......
时间 计算机 用户 DOMAIN 系统

《Universal and Transferable Adversarial Attacks on Aligned Language Models》论文学习

一、Abstract 尽管“开箱即用”的大型语言模型（例如ChatGPT）能够生成出色的处理令人反感的内容，人们在规避针对LLM的攻击（针对LLM的所谓“越狱”）方面取得了一些成功，但在不断地攻防实践中这些防御手段却很脆弱，研究员在自动对抗性提示（prompt）生成方面也取得了一些突破。 在本文中， ......
Transferable Adversarial Universal Language Attacks

什么是编程领域的 DSL - Domain Specific Language

在编程领域中，Domain Specific Language（DSL）是一种特定于特定问题领域的计算机语言，设计用于解决该领域的特定类型的问题。DSL的设计目标通常包括提高生产力，使非程序员可以使用，以及提供特定类型的语言构造。DSL与通用编程语言（GPL）相对，GPL如Python、Java等， ......
Specific Language 领域 Domain DSL

Loss_contrast

import numpy import torch import torch.nn.functional as F from torchvision import models class Vgg19(torch.nn.Module): def __init__(self, requires_gra ......
Loss_contrast contrast Loss

论文解读（BERT-DAAT）《Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis》

论文信息 论文标题：Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis论文作者：论文来源：2020 ACL论文地址：download 论文代码：download视屏讲解：click 1 介绍 2 问题定义 在跨域 ......
Domain BERT Cross-Domain Domain-Aware Adversarial

Domain Cluster Model

Introduction Domain Cluster Model 3.0 Background of Domain Management 领域管理背景 Common Framework 通用框架Architecture & Synergy Analysis 体系结构与协同分析Demand & Pr ......
Cluster Domain Model

Unsupervised Learning of Depth and Ego-Motion from Video(CVPR2017)论文阅读

深度估计问题 从输入的单目或双目图像，计算图像物体与摄像头之间距离（输出距离图），双目的距离估计应该是比较成熟和完善，但往单目上考虑主要还是成本的问题，所以做好单目的深度估计有一定的意义。单目的意思是只有一个摄像头，同一个时间点只有一张图片。就象你闭上一只眼睛，只用一只眼睛看这个世界的事物一样，距离 ......
Unsupervised Ego-Motion Learning Motion 论文

Domain Adaptation（领域自适应）

Domain Adaptation（领域自适应） 当测试材料和训练材料差异较大时，即使训练时正确率高，在测试中不一定高 例如：数字标识中，训练资料为黑白图片，测试资料为有色照片 在已经用灰白图片做好的模型，测试有色图片正确率低，可以收集有色图片（没有标注） 基本想法： 找一个Network（Feat ......
Adaptation 领域 Domain
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