Skill UI

A comprehensive guide for structuring and presenting rigorous, high-impact experimental chapters suitable for top-tier computer science journals. Learn to design experiments driven by Research Questions (RQ), select fair baselines, conduct statistical significance testing, and implement ablation/sensitivity analyses. Ensures evidence is reproducible and perfectly aligns with abstract claims.

A comprehensive guide for authors submitting to top-tier computer vision conferences (like ICCV). It details the new single-deadline workflow, emphasizing the parallel production of code and videos. Learn how to structure supplementary materials for maximum reviewer impact, including detailed ablation studies, failure mode galleries, and maintaining strict double-blind anonymity in the archive.

This guide provides authors with a comprehensive framework for preparing manuscript revisions and rebuttal letters for top-tier academic journals. It details how to structure point-by-point responses to reviewer comments, effectively incorporating new evidence (such as rendering comparisons, geometric error maps, and ablation studies), and maintaining a professional, structured tone necessary for successfully navigating the re-review process.

This guide provides critical structuring advice for authors submitting ML Systems papers, focusing on the strategic division of content between the mandatory 10-page body and the unlimited supplementary appendix. It outlines which material belongs in the main text (claims that must be believed) versus what belongs in the appendix (material that must be verifiable evidence, such as full hyperparameter grids or deep ablations).