[D] What papers to implement in 2024 from zero to hero?

The title is inspired by Karpathy's bottom up approach in his course [neural network from zero to hero](https://karpathy.ai/zero-to-hero.html). In a similar vein, but for research papers, going “bottom-up” from earlier papers (maybe max 10-15 years old) to today’s paper - what should someone familiar with DL but who is relatively inexperienced implement? The goal of this is to acquire a deeper understanding of DL research and get to a level where one can comfortably read, understand and implement today’s DL …

etc functions general good lists loss machinelearning nlp paper papers regularization thinking