CS91.3 Lab 8: Authors Response

Due Tuesday, March 22, by midnight (23:59, EST)

Goals

The goals for this lab assignment are:

  • Get comfortable with using Reviewer Guide from CS conferences

  • Get comfortable with the Double-blind Peer Review Process

  • Edit based on suggestions from your peers to improve the posters

  • Think about your research, how can you improve

  • Write your Author Response

1. Reviewer Guide

For this week, please read the Entire Page of the Reviewer Guide. Pay special attention to the sections of:

  • Reviewer best practices

  • Reviewer Instructions

2. Review Examples

Please review the three examples below:

8-8-10, Best paper award

8-9-9, Best paper award

  • ATOM3D: Tasks on Molecules in Three Dimensions By Raphael John Lamarre Townshend, Martin Vögele, Patricia Adriana Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ Altman, and Ron O. Dror.

7-7-10, ML and BCI

3. Improve Your Poster

  • Learn from EEGEyeNet, Reviewers Comments and Authors feedback.

  • Name at least two improvement actions you learned from EEGEyeNet

  • Learn from the FIVE peer reviews.

  • Name at least three improvement actions you learned from peer reviews.

  • Actually change your two-page poster based on the suggestions above.

  • Write down notes about what changes you made, at least five sentences.

4. Write Your Own Authors Response

  • Submit a new version of the midterm.

  • Learn from EEGEyeNet, Write your Authors Response in a double-blind way.

5. Submission Guide

  • Each team only submits one file, lab_8_lastname1_lastname2.zip, including

    1. lab_8_poster_lastname1_lastname2.PDF for your two-page poster draft in AAAI format.

    2. lab_8_paper_lastname1_lastname2.PDF for your ten-page paper draft in NeurIPS format.

    3. notes_lab_8_lastname1_lastname2.txt for your notes, including the README, where to download your dataset.

    4. A screenshot folder for all the screenshots files (PNG or JPEG), total size less than 10 M.

    5. A code folder for ALL your Python Code to recreate your results, but NOT the dataset.

    6. Authors_Response_lastname1_lastname2.PDF, at least two pages, in a double-blind way.

6. Notes

  • Each team only needs to submit one ZIP file, with both names on it, total size less than 15 M.

  • Email 'xqu1@swarthmore.edu' your lab 8 files as lab_8_lastname1_lastname2.zip.

  • The team members from the same team may get the same score.

  • Lab assignments will typically be released on Wednesday and will be due by midnight on the following Tuesday.

  • This lab was released on 03/16 and will be due by midnight on 03/22.