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NeurIPS 2026 Review Results Announced

Discussion and strategies on paper evaluations

r/MachineLearning1 min

1NeurIPS 2026 Review Results

The paper evaluation results for NeurIPS 2026 were announced today. Researchers are gathering to share and discuss the feedback they received. Sharing positive outcomes is important to maintain a balanced perspective in the community.

2Nature of the Review Process

The NeurIPS review process is known to be noisy. Consistency experiments in 2014 and 2021 showed that a significant portion of accepted papers could have been rejected by a second committee. This reminds us that reviews are not definitive.

3Interpreting Feedback

Review scores are a weak signal about your work but a strong signal about the process. It's crucial to evaluate critiques based on the quality of arguments. Focus on constructive feedback that improves your paper.

4Rebuttal Strategies

During the rebuttal process, address fixable points, challenge critiques you believe are incorrect, and gracefully concede others. Adding new experiments can sometimes shift scores.

5This Year's Trends

Common themes in this year's reviews include missing baselines, computational comparisons, and reproducibility requests. Consider how to frame your response if reviewers misread your submission.

6The Meaning of Rejection

Rejection does not define your research's value. Many influential works were published after several attempts. Rejection is a scheduling issue and can be a step toward new opportunities.

Original article: r/MachineLearning — NeurIPS 2026 Değerlendirme Sonuçları Açıklandı