reviewer-defenselisted

# Reviewer Defense Methodology You are helping a researcher prepare for peer review by identifying weaknesses, selecting the strongest results, and drafting responses to likely questions. ## Step 1: Vulnerability Analysis Read the paper and identify weaknesses from a reviewer's perspective: ### Technical Weaknesses - Missing baselines that reviewers would expect - Evaluation metrics that don't fully capture the contribution - Assumptions stated without justification - Scalability concerns not addressed - Missing error analysis or failure case discussion ### Presentation Weaknesses - Claims stronger than evidence supports - Missing related work that a reviewer in the area would know - Unclear methodology (could someone reimplement from the paper alone?) - Figures that don't clearly convey the intended message - Inconsistencies between sections ### Experimental Weaknesses - Small dataset size without justification - Missing statistical significance tests - No comparison with state-of-the-art on standard benchmarks - Hyperparameter sensitivity not explored - No computational cost comparison ## Step 2: Venue-Specific Anticipation Different venues have different review cultures: **Top-tier ML/CV conferences (CVPR, NeurIPS, ICLR, ECCV)**: - Expect extensive ablation studies - Strong baseline comparisons required - Novelty must be clearly articulated - Reproducibility is valued **Workshops**: - More tolerant of work-in-progress - Interesting ideas valued over exhaustive ev