Awesome-Annotated-Papers

[03-05-24]: An Introduction to Variational Autoencoders (<a href="https://github.com/papers/An%20Introduction%20to%20Variational%20Autoencoders%5BKingma%5D.pdf" target="_blank" rel="nofollow">Annotated Paper )
[04-05-24]: NICE: Non-linear Independent Components Estimation (<a href="https://github.com/papers/NICE-%20NON-LINEAR%20INDEPENDENT%20COMPONENTS%20ESTIMATION%5BY%20Bengio%5D.pdf" target="_blank" rel="nofollow">Annotated Paper )
[04-05-24]: A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models (<a href="https://github.com/papers/A%20Survey%20on%20RAG%20Meets%20LLMs-%20Towards%20Retrieval-Augmented%20Large%20Language%20Models.pdf" target="_blank" rel="nofollow">Annotated Paper )
[05-05-24]: Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey (<a href="https://github.com/papers/Parameter-Efficient%20Fine-Tuning%20for%20Large%20Models-%20A%20Comprehensive%20Survey.pdf" target="_blank" rel="nofollow">Annotated Paper )
[06-05-24]: Variational Inference with Normalizing Flows (<a href="https://github.com/papers/Variational%20Inference%20with%20Normalizing%20Flows.pdf" target="_blank" rel="nofollow">Annotated Paper )
[06-05-24]: Parameter-Efficient Transfer Learning with Diff Pruning (<a href="https://github.com/papers/Parameter-Efficient%20Transfer%20Learning%20with%20Diff%20Pruning.pdf" target="_blank" rel="nofollow">Annotated Paper )

Welcome to the Awesome Annotated Papers repository! Here, you'll find a collection of research papers that I read daily, along with my annotations. I also tweet about each paper for further discussion and engagement.