Paper Notes
Resources
Paper Notes ๐
Coming soon: short, visual summaries of the papers that shaped machine learning.
Note๐ง Coming soon
Each note will explain one influential paper in plain language: the problem, the key idea, one interactive figure, and what it changed. Here is what is planned first.
| Paper | Year | Why it matters | |
|---|---|---|---|
| ๐ง | Attention Is All You Need | 2017 | Introduced the transformer behind modern language models |
| ๐๏ธ | Deep Residual Learning (ResNet) | 2015 | Skip connections made very deep networks trainable |
| ๐ฏ | You Only Look Once (YOLO) | 2016 | Real-time object detection in a single pass |
| ๐ฒ | XGBoost | 2016 | The workhorse of tabular machine learning |
| ๐งพ | Hidden Technical Debt in ML Systems | 2015 | Why production ML is mostly not about the model |
| ๐ | Retrieval-Augmented Generation (RAG) | 2020 | Grounding language models in your own documents |
While you wait, the Resources hub lists where to follow new research, including Hugging Face Trending Papers.
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