domains / families / research / mlsys-review-process
Use when reasoning about how MLSys peer review works, covering the OpenReview workflow, the mixed ML-and-systems reviewer pool and how each half scores differently, the compressed response window, industrial-track review expectations, decision dynamics, and what the post-acceptance artifact stage means for review strategy.
| Repository | Path |
|---|---|
| brycewang-stanford/Awesome-Journal-Skills | MLSys-Skills/skills/mlsys-review-process/SKILL.md |