Paper Study of HYU HAI 2026
This repository contains my weekly research paper studies in machine learning and computer vision.
Each week I read one research paper and summarize:
- Motivation
- Key ideas
- Architecture
- Experiments
- Insights
| Week | Paper | Topic |
|---|---|---|
| 1-1 | Deep Residual Learning for Image Recognition | CNN / Residual learning |
| 1-2 | AN IMAGE IS WORTH 16X16 WORDS | CNN |
| 2-1 | Masked Autoencoders Are Scaleable Vision Learners | VIT / MAE |
| 3-1 | Auto-Encoding Variational Bayes | VAE |
The goal of this repository is to build a strong understanding of fundamental machine learning papers and maintain a structured research portfolio.