Machine Learning • Reading & Discussion • Community
ML Paper Reading Group
We meet regularly to read and discuss influential ML papers including foundations, modern LLMs, theory, and applied work. The goal is practical understanding: what the paper does, why it works, and what we can build from it.
What to expect
One discussion leader, then group discussion: core idea, key figures, strengths/weaknesses, and open questions.
Topics
Transformers/LLMs, theory, safety, and applied ML. We keep a running list of reviewed papers.
Get involved
Suggest papers, volunteer to present, or propose a theme week. New members welcome.