Papershelf

This section contains notes and summaries of papers across various domains like Gen AI, Statistics, Machine Learning, Applied Psychology, and more.

Organization

The papershelf is organized into three main sections:

📖 Currently Reading

Papers that I am actively working through and analyzing. These show real-time progress as I build understanding, take detailed notes, and develop comprehensive insights.

📚 Read Papers

Papers that I have thoroughly read and created detailed summaries for. These include comprehensive notes, key insights, and my personal understanding of the concepts. Each paper here represents a significant investment of time and effort to understand the methodology, contributions, and implications.

📋 Reading Queue

Papers that are in my pipeline to read, organized by priority. These papers are marked as drafts and won’t appear in the main blog until I’ve read them and created proper summaries.

No categorized papers found.