Essential Tools for Organizing and Reading Research Papers
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Chapter 1: Introduction to Research Management Tools
In the Artificialis Discord server, I frequently share insights on innovative research papers, usually three to four times a week. Here’s an example of what I discuss:
Many people often inquire about my methods for locating research papers, staying updated on the latest trends, and the tools I utilize daily.
Before we explore these tools, let me highlight a couple of resources that can be beneficial for reading research papers effectively. A great starting point is the guide on how to read scientific papers.
Additionally, here is a comprehensive lecture from Stanford University on the topic:
Chapter 2: Daily Tools for Staying Organized
Now, let’s delve into some of the tools I rely on to keep myself organized.
Section 2.1: ArXiv Sanity Preserver
If you occasionally browse ArXiv, you might find it overwhelming to navigate through the vast number of papers. ArXiv Sanity Preserver was designed specifically to help users efficiently explore, search, and read papers without losing their sanity.
This tool not only helps in discovering trending papers but also allows you to save them in your library for later reference. One of the standout features is its recommendation engine, which suggests new papers based on your previous reading habits. Here’s an introductory video by the creator, Andrej Karpathy:
Section 2.2: ArXiv Vanity
Another excellent tool is ArXiv Vanity, which provides a user-friendly web interface that reformats papers from ArXiv, making them easier to read—eliminating the need to squint at PDFs.
Section 2.3: Papers with Code
My personal favorite is "Papers with Code," a free and open resource dedicated to Machine Learning research papers. This platform not only offers access to the papers but also links to the datasets used, methodologies employed, and code implementations.
A specific highlight of this site is the “Methods” section, where you can find a curated list of research papers categorized by different methodologies, techniques, and tasks.
It’s an incredible resource worth exploring.
Chapter 3: Conclusion
The tools mentioned above are invaluable for anyone who regularly reads research papers, which is a practice I highly recommend.
In addition to using these tools, I make it a point to check prominent blogs and publications for new research updates. I particularly enjoy following Meta AI, DeepMind, AWS, Google AI, and major universities in the field. Dedicating one or two hours each week to reading these sources can be extremely beneficial.
I hope these tools will simplify your research process as well. If you found this information helpful, consider following me on Medium and visiting my website: alessandroai.com. You can also subscribe to the Artificialis newsletter for more insights.