12 2022 档案

虚假新闻检测-迁移学习（CADM）《Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup》
摘要：论文信息 论文标题：Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup论文作者：Huimin Zeng, Zhenrui Yue, Ziyi 阅读全文
posted @ 2022-12-30 20:11 别关注我了，私信我吧 阅读(342) 评论(0) 推荐(0)
谣言检测（ACLR）《Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning》
摘要：论文信息 论文标题：Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning论文作者：Hongzhan Lin, Jing Ma, Liangliang Chen, Z 阅读全文
posted @ 2022-12-29 16:55 别关注我了，私信我吧 阅读(506) 评论(0) 推荐(0)
虚假新闻检测（CANMD）《Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19》
摘要：论文信息 论文标题：Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19论文作者：Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Sha 阅读全文
posted @ 2022-12-28 20:55 别关注我了，私信我吧 阅读(232) 评论(0) 推荐(0)
数据漂移
摘要：数据漂移的分类 第一种 叫做特征漂移或者是协变量漂移，它指的是在 $p(y|x)$ 不变的情况下，$p(x)$ 变化的情况。 比如我训练模型的时候用的主要是中年人的数据，但是在线上的主要用户却是青少年居多，那么很可能我没有那么好的数据 第二种叫做 label shift 也经常被叫做 prior s 阅读全文
posted @ 2022-12-27 16:27 别关注我了，私信我吧 阅读(316) 评论(0) 推荐(0)
虚假新闻检测（MAC）《Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection》
摘要：论文信息 论文标题：Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection论文作者：Nguyen Vo, Kyumin Lee论文来源：2021 EACL论文地址：download 论文代码：d 阅读全文
posted @ 2022-12-26 21:21 别关注我了，私信我吧 阅读(197) 评论(0) 推荐(0)
虚假新闻检测（GET）《Evidence-aware Fake News Detection with Graph NeuralNetworks》
摘要：论文信息 论文标题：Evidence-aware Fake News Detection with Graph Neural Networks论文作者：Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang论文来源：2022 WWW论文地址：downl 阅读全文
posted @ 2022-12-26 12:14 别关注我了，私信我吧 阅读(678) 评论(0) 推荐(0)
论文解读《Cross-Domain Few-Shot Graph Classification》
摘要：论文信息 论文标题：Cross-Domain Few-Shot Graph Classification论文作者：Kaveh Hassani论文来源：AAAI 2023论文地址：download 论文代码：download 1 Introduction 2 Method 框架： 2.1 Augmen 阅读全文
posted @ 2022-12-25 11:27 别关注我了，私信我吧 阅读(261) 评论(0) 推荐(0)
论文解读（PGNN）《Rumor detection based on propagation graph neural network with attention mechanism》
摘要：论文信息 论文标题：Rumor detection based on propagation graph neural network with attention mechanism论文作者：Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong 阅读全文
posted @ 2022-12-11 17:18 别关注我了，私信我吧 阅读(322) 评论(0) 推荐(0)
论文解读《Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multimodal Data》
摘要：论文信息 论文标题：Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multimodal Data论文作者：Amila Silva, Ling Luo, Shanika Karunas 阅读全文
posted @ 2022-12-10 19:23 别关注我了，私信我吧 阅读(212) 评论(0) 推荐(0)
虚假新闻检测（DITFEND）《Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer》
摘要：论文信息 论文标题：Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer论文作者：Qiong Nan, Danding Wang, Yongchun Zhu, Qiang 阅读全文
posted @ 2022-12-09 21:58 别关注我了，私信我吧 阅读(710) 评论(0) 推荐(0)
论文解读（PCL）《Probabilistic Contrastive Learning for Domain Adaptation》
摘要：论文信息 论文标题：Probabilistic Contrastive Learning for Domain Adaptation论文作者：Junjie Li, Yixin Zhang, Zilei Wang, Keyu Tu论文来源：aRxiv 2022论文地址：download 论文代码：do 阅读全文
posted @ 2022-12-08 16:24 别关注我了，私信我吧 阅读(756) 评论(0) 推荐(0)
论文解读《Research on the application of contrastive learning in multi-label text classification》
摘要：论文信息 论文标题：Research on the application of contrastive learning in multi-label text classification论文作者：Nankai Lin, Guanqiu Qin, Jigang Wang, Aimin Yang, 阅读全文
posted @ 2022-12-07 15:29 别关注我了，私信我吧 阅读(245) 评论(0) 推荐(0)
论文解读（CDTrans）《CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation》
摘要：论文信息 论文标题：CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation论文作者：Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin论文来 阅读全文
posted @ 2022-12-05 12:32 别关注我了，私信我吧 阅读(666) 评论(0) 推荐(0)

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