Posts tagged "bayesian"
How to reduce the amount of labelled data required for your Deep Learning model with a human in the loop?
- 14 May 2023
- Language: en
- Category: deep-learning
In this blog post, we will explore how Bayesian active learning can be used to reduce the amount of labeled data required for a deep learning model with a human in the loop in the context of a classification task.
Dropout as a way to Model Uncertainty in Deep Learning Models
- 09 April 2023
- Language: en
- Category: deep-learning
In [Gal and Ghahramani, 2016], the authors propose an easy, fast and scalable method to quantify the uncertainty of any deep learning model (including big modern architectures) as long as dropout is used during training time.
Notes on Bayesian Online Change Point Detection
- 04 September 2022
- Language: en
- Category: change-point detection
In this post we are going to delve into the mathematical details behind the graphical model Bayesian Online Change Point Detection introduced in [Adams and MacKay, 2007]. This model can be used to detect different type of change-points and has known many extensions over the last few years.
