综述论文“A Survey of Zero-Shot Learning: Settings, Methods, and Applications”

时间 2020-12-24

标签机器学习繁體版

原文原文链接

发表于ACM Trans. Intell. Syst. Technol. 10, 2, Article 13 (January 2019) 摘要：大多数机器学习方法着重于对已经在训练中看到其类别的实例进行分类。实际上，许多应用程序需要对实例进行分类，而这些实例的类以前没有见过。零样本学习（Zero-Shot Learning）是一种强大而有前途的学习范例，其中训练实例涵盖的类别与想分类的类别是

>>阅读原文<<

1. [survey 2019] A Survey of Zero-Shot Learning: Settings, Methods, and Applications
2. A Survey of Zero-Shot Learning: Settings, Methods, and Applications [reading notes]
3. arXiv综述论文“Graph Neural Networks: A Review of Methods and Applications”
4. 【图嵌入综述2】A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
5. 《图神经网络综述》Graph Neural Networks: A Review of Methods and Applications
6. 【论文笔记】Graph Summarization Methods and Applications- A Survey
7. 【GNN综述1-模型与应用】 Graph Neural Networks: A Review of Methods and Applications
8. 图表示综述 2017 Graph Embedding Techniques, Applications, and Performance: A Survey
9. Object Detection in 20 Years: A Survey 综述论文笔记
10. A Comprehensive Survey of Graph Embedding:Problems, Techniques and Applications
更多相关文章...
• MyBatis settings - MyBatis教程
• CAP理论是什么？ - NoSQL教程
• RxJava操作符（七）Conditional and Boolean
• Java Agent入门实战（二）-Instrumentation源码概述

最新文章

1. 说说Python中的垃圾回收机制？
2. 蚂蚁金服面试分享，阿里的offer真的不难，3位朋友全部offer
3. Spring Boot （三十一）——自定义欢迎页及favicon
4. Spring Boot核心架构
5. IDEA创建maven web工程
6. 在IDEA中利用maven创建java项目和web项目
7. myeclipse新导入项目基本配置
8. zkdash的安装和配置
9. 什么情况下会导致Python内存溢出？要如何处理？
10. CentoOS7下vim输入中文

本站公众号

欢迎关注本站公众号,获取更多信息

1. [survey 2019] A Survey of Zero-Shot Learning: Settings, Methods, and Applications
2. A Survey of Zero-Shot Learning: Settings, Methods, and Applications [reading notes]
3. arXiv综述论文“Graph Neural Networks: A Review of Methods and Applications”
4. 【图嵌入综述2】A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
5. 《图神经网络综述》Graph Neural Networks: A Review of Methods and Applications
6. 【论文笔记】Graph Summarization Methods and Applications- A Survey
7. 【GNN综述1-模型与应用】 Graph Neural Networks: A Review of Methods and Applications
8. 图表示综述 2017 Graph Embedding Techniques, Applications, and Performance: A Survey
9. Object Detection in 20 Years: A Survey 综述论文笔记
10. A Comprehensive Survey of Graph Embedding:Problems, Techniques and Applications

>>更多相关文章<<