ML Notes

A collection of notes on new ML papers that I find interesting, and a review/overview of topics I want to brush up on about or learn about.

Topics

• ML Fundamentals Interview Review
  Updated September 2022
• Optimizers
  Updated January 2022
• Generative Modeling
  Updated January 2022

Papers

• Surgical Fine Tuning Improves Adaptation to Distribution Shifts
  Updated July 2023
• Learning to Play Minecraft with Video PreTraining
  Updated September 2022
• Masked Autoencoders are Scalable Vision Learners
  Updated February 2022
• data2vec: A General Framework for Self-supervised Learning in Speech, Vision, and Language
  Updated February 2022