CS 66 Lab 10

Due Friday, 12/02/2022, by midnight (23:59, EST)

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Goals

The goals for this lab assignment are:

  • Review code from other papers in a double-blind way.

  • Improve your final paper’s programming part.

  • Learn from external reviewers' feedback.

1. Reviewer Guide

  • Pay attention to the section of 'Review content;

  • Considering the reviewer guide when preparing your labs and final paper

    1. Summary and contributions:

    2. Strengths:

    3. Weaknesses:

    4. Correctness:

    5. Clarity:

    6. Relation to prior work:

    7. Reproducibility:

    8. Additional feedback:

    9. Overall score:

    10. Confidence score:

    11. Broader impact:

    12. Ethical concerns:

  • Pay attention to the programming part for this lab.

2. Paper Examples

Please read the two examples below:

8-8-10, Best paper award Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research By Bernard Koch, Emily Denton, Alex Hanna, and Jacob Gates Foster.

7-7-10, ML and BCI EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction By Ard Kastrati and Martyna Beata Plomecka and Damian Pascual and Lukas Wolf and Victor Gillioz and Roger Wattenhofer and Nicolas Langer.

3. Submission Guide

  • This lab has two parts:

3.1. A team assignment

  • Focus on double-blind peer review process.

  • Each team reviews five submissions for other teams, similar to lab 6.

  • Each team submits five PDF files, such as submission_1st_reviewer_A7D5.

3.2. An individual assignment

  • If you submitted to the conference, forward me your notification email and the comments from conference reviewers.

4. Notes

  • Email 'xqu1@swarthmore.edu' your files for lab 10.

  • This lab is due Friday night because of the external conference deadline, not the regular Monday night.