Top Machine Learning Research for the Second Half of 2021

As 2021 draws to a close, I'm energized by all the amazing work completed by many prominent research groups extending the state of machine learning in a variety of important directions. In this article, I'll keep you up to date with my top picks of machine learning research papers for the last half of 2021 that I found particularly compelling and useful. Through my effort to stay current with the field's research advancement, I found the directions represented in these machine learning research papers to be very promising. I hope you enjoy my selections as much as I have. Most algorithms in classical and contemporary machine learning focus on correlation-based dependence between features to drive performance.