This page has 2 purposes: share some links that I was often referring to and share personal summaries of some papers that I have read and dived into.
Time Consistency for automatic object detection
Explainable Pipeline Reinforcement Learning
Understanding differences in games' complexities
Neural Style Transfer
Interesting sources of information
I hereby refer to all nice source of information I usually use in order to get knowledge about machine learning, or any interesting topic. If you are interested in explanations about anything, made by performant video maker, please give a look at my Youtube following page.
Machine Learning Blog Posts
Summaries of papers
For scientific paper summaries, my goal is to share complete summary with all important information that should be highlighted, with some comments. Nowadays, a “popularized” (explained for a less scientific audience) version of the scientific paper is usually provided (through blog posts for example). When it’s the case, I provide the link. The difference between my summaries and these block-posts is that I usually try to provide every relevant scientific information (i.e. math equations and links) for scientifically understand the paper.
This work was first personal, to better dive into the paper that I have found astonishing so far, but I have finally decided to share this work that could be useful also to others. I hope this could help some people that want to quickly read them.
All the credits have to be given to the amazing work made by the actual researchers and authors.