Do you love reading research papers? Or do you want to read more research papers but find them intimidating? Or are you looking for annotated research papers that are much easier to understand?

If you are in any of the categories listed above, then you have arrived at the right place. I spend a lot of time reading papers. It is a crucial part of my ML work. If you want to do research or you want to be a better ML engineer, then you should read papers. This habit of reading papers will help you to remain updated with the field.

Note: I am a pen-paper guy. Nothing beats the pen-paper reading experience, but in the ongoing scenarios (pandemic, lockdown, etc.), I am not able to print the papers. Taking this as an opportunity to share my thought process, I will be sharing the annotated research papers in this repo. The order of the papers won't strictly be according to the timeline on arXiv. Sometimes I put a paper on hold and read it after a while.

PS: I cannot annotate all the papers I read, but you can expect all the interesting papers to be uploaded here.

Note: The annotated papers in this section are contributed by the community. As I cannot verify the annotation for each paper, I will lay out the guidelines for annotations so that every annotated paper has similar annotated sections.