CS 66 Lab 7

Due Sunday, 11/06/2022, by midnight (23:59, EST)

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Goals

The goals for this lab assignment are:

  • Learn how to submit papers to Computer Science conferences

  • Practice your final paper’s innovation, connection, and impact sections.

  • Select a new machine learning dataset for your final project (from NeurIPS 2021)

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:

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 is an individual assignment, NOT a team assignment.

  • Each student submits one file, lab_7_lastname.zip, including

    1. The full application package, as mentioned in the instruction page.

    2. The confirmation email from the conference, with your submission ID, save the email as a PDF file.

4. Notes

  • Email 'xqu1@swarthmore.edu' your zip file for lab 7.

  • Please contact the instructor ASAP if you think this conference track may not be a good match for you. Then let us figure out an alternative solution and submit it somewhere else.

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