I strongly believe that one of the best ways to learn something new is to explain it in your own words. I have observed that doing so exposes the gaps in my own understanding and helps me recognize the shortcomings that are inherent in the assumptions. It serves to truly internalize a concept.
One of my personal goals for 2020 is to dive into the "state of the art" in Computer Vision. Consequently, I will be curating a reading list of 52 research papers from which I will explore and summarize one paper each week. In order to maximize my learning and align it with my sub-interests, this selection will largely include:
- Prominent papers from the last 2-3 years, i.e. the "Best" papers from CVPR/NIPS/AAAI/ICML.
- Papers that intersect with HCI, health, football or public policy.
- Foundational pieces which have been exceedingly influential to the field.
Whenever time and resources permit, I will try to reproduce the results, or demo it with an application.
Looking forward to a fun 2020!