A site to find which ML papers are worth reading, with reader votes and AI reviewers. Covers all NeurIPS 2026 papers.
A pixel-art game on Good Papers: walk the NeurIPS 2026 poster halls to the best-rated posters on your topics, earn XP and badges, duel other attendees on which poster is rated higher, and chat with players in the same hall.
A one-stop shop for model collaboration research — methods, benchmarks and tooling for making multiple language models work together.
Open-source library for fairness-aware graph learning: 13 debiasing methods, 26 graph datasets, and benchmarks under common fairness notions.
Source of this homepage — a YAML + Jinja static site with publication filters and a playground page. Fork it and edit the data/ folder to make your own.
Acceptance rates of ICLR 2025 papers across popular keywords, from brain (~43%) to explanation (~23%). Popularity != acceptance & meaningfulness.