domains / families / research / icml-experiments
Use when stress-testing ICML experimental evidence before submission or rebuttal, including strong tuned baselines, mechanism-isolating ablations, seed variance and confidence intervals, compute disclosure, data leakage and split construction, reproducibility, negative results, and fit to ICML soundness, originality, and significance scoring.
| Repository | Path |
|---|---|
| brycewang-stanford/Awesome-Journal-Skills | ICML-Skills/skills/icml-experiments/SKILL.md |