What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
本文转自：http://blog.csdn.net/weixin_39779106/article/details/78968982 原论文链接 一、摘要： 二、介绍： 创新点： 三、相关工作： 1. 在贝叶斯深度学习中如何对认知不确定性进行建模： 2. 异方差的偶然不确定性计算 四、将两种不确定性在同一模型中进行结合 1.将异方差偶然不确定性和认知不确定性相结合 2.将异方差不确定性作为学习损失
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相关文章
- 1. Deep Learning for Computer Vision with Python.
- 2. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? 计算机视觉用于贝叶斯深度学习的不肯定性
- 3. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? 计算机视觉用于贝叶斯深度学习的不确定性
- 4. 备忘录——Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI笔记
- 5. Deep Learning for Computer Vision With Python__Introduction
- 6. What are some good books/papers for learning deep learning?
- 7. 论文阅读——AdderNet: Do We Really Need Multiplications in Deep Learning?
- 8. 论文阅读：Do We Really Need Multiplications in Deep Learning?
- 9. Addernet学习笔记 --- AdderNet: Do We Really Need Multiplications in Deep Learning?
- 10. 论文笔记：AdderNet: Do We Really Need Multiplications in Deep Learning?