[论文解读]A Survey of Methods for Explaining Black Box Models

时间 2021-01-02

标签论文解读繁體版

原文原文链接

A Survey of Methods for Explaining Black Box Models 文章目录 A Survey of Methods for Explaining Black Box Models 简介摘要可解释、可解释和可理解的模型可解释性的维度对可解释模型的渴求打开黑匣子问题问题与基于解释器的分类解决模型解释问题解决结果解释问题基于显著性掩码的深度神经网络

>>阅读原文<<

1. An Attentive Survey of Attention Models 论文阅读
2. [论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
3. [论文解读]Feature-Guided Black-Box Safety Testing of Deep Neural Networks
4. 【论文阅读】A survey of deep learning techniques for autonomous driving
5. 综述论文“A Survey of Zero-Shot Learning: Settings, Methods, and Applications”
6. A Survey of Appearance Models in Visual Object Tracking 解读
7. 论文阅读 Decision-based Black-box Adversarial Attacks
8. Image registration methods: a survey
9. Deep learning approach for facial age classification: a survey of the state‑of‑the‑art 论文阅读
10. 论文阅读 AutoML: A Survey of the State-of-the-Art
更多相关文章...
• C# 文本文件的读写 - C#教程
• ARP报文格式详解 - TCP/IP教程
• JDK13 GA发布：5大特性解读
• Scala 中文乱码解决

最新文章

1. 外部其他进程嵌入到qt FindWindow获得窗口句柄报错无法链接的外部符号 [email protected] 无法被([email protected]@[email protected]@@引用
2. UVa 11524 - InCircle
3. The Monocycle（bfs）
4. VEC-C滑窗
5. 堆排序的应用-TOPK问题
6. 实例演示ElasticSearch索引查询term,match,match_phase,query_string之间的区别
7. 数学基础知识集合
8. amazeUI 复择框问题解决
9. 背包问题理解
10. 算数平均-几何平均不等式的证明,从麦克劳林到柯西

本站公众号

欢迎关注本站公众号,获取更多信息

1. An Attentive Survey of Attention Models 论文阅读
2. [论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
3. [论文解读]Feature-Guided Black-Box Safety Testing of Deep Neural Networks
4. 【论文阅读】A survey of deep learning techniques for autonomous driving
5. 综述论文“A Survey of Zero-Shot Learning: Settings, Methods, and Applications”
6. A Survey of Appearance Models in Visual Object Tracking 解读
7. 论文阅读 Decision-based Black-box Adversarial Attacks
8. Image registration methods: a survey
9. Deep learning approach for facial age classification: a survey of the state‑of‑the‑art 论文阅读
10. 论文阅读 AutoML: A Survey of the State-of-the-Art

>>更多相关文章<<