Reviewer Instructions


Thank you for agreeing to review papers for NLDL, which aims to showcase high-quality research in the field of machine learning. We value your expertise and commitment to ensuring the quality of the papers submitted. In this guideline, we outline key considerations and criteria for evaluating submissions.

General Review Criteria

Specific Review Guidelines

Reviewer's Summary and Recommendations

In your review, please provide a concise summary of your evaluation and specific recommendations for the paper. Summarize the strengths and weaknesses, and justify your final recommendation. Constructive feedback is essential to help authors improve their work.

Remember that our primary goal is to maintain a high standard of quality and rigor in machine learning research while being open to both novel contributions and practical applications. Your expertise and thorough evaluation are invaluable in achieving this goal.

Thank you for your dedication to advancing the field of machine learning.

Resources for reviewing