CS 6907 Mid-term Project

  • Midterm Draft, Due Saturday, October 7th, by midnight (23:59 EST)

  • Lab 6 Review, Due Monday, October 9th, by midnight (23:59 EST)

  • Midterm, Due Thursday, October 12th, by midnight (23:59 EST)

Announcements

1. Your mid-term project

  • Select a dataset from the NeurIPS datasets 2021 and 2022

  • Select one from the following three machine learning topics:

    1. Classification (Supervised Learning, similar to the Iris dataset example)

    2. Regression (Supervised Learning, similar to the Diabetes dataset example)

    3. Clustering (Unsupervised Learning, ssimilar to the Iris dataset example)

  • Write the midterm paper in AAAI format (two columns, overleaf template). Your drafts should include:

    1. Title, anonymous authors

    2. Introduction

    3. Related work

    4. Methods

    5. Results

    6. Discussion

    7. Conclusion

  • The Section of Introduction should includes

    1. Research Questions

    2. Motivation

  • The Section of Related work should includes

    1. Literature Review

    2. State-of-the-art

  • Submit it to the conference, after editing based on lab 6 review:

  • (Optional) Write the code to compare the performance of machine learning algorithms

    1. The Algorithms you Select

    2. This is optional for the midterm but will be required for the final project.

  • (Optional) Submit your Python code related to your midterm paper, and make sure the README is clear for recreating your results.

    1. Test your Python code on both of your computers.

    2. Take screenshots of your results after running the code.

    3. Cite the references, especially where you get the existing code and whether you can replicate their results.

    4. Please do NOT email me your dataset. Instead, write a guide on where to download it, similar to the README above.

  • Submit the midterm draft in a double-blind way for internal peer review.

  • Hide the author’s information for double-blind peer review.

  • Hide author information everywhere in your submission, including PDF, TXT, and Python files.

  • Double-blind example, NeurIPS

  • 'Authors are responsible for anonymizing their submissions. In particular, they should not include author names, author affiliations, or acknowledgements in their submissions and they should avoid providing any other identifying information (even in the supplementary material).'

  • Submit your reviewer’s secret code, such as DAMW, hya1, or 7nxz, in this NeurIPS example

  • Submit the midterm in a single-blind way as required by the HCII conference.

  • Single-blind requirement, HCII

  • 'The review process of the HCI International Conference is single-blind (reviewers will be provided with authors' details). The name and contact details of the author(s) that are associated with the abstract are given to the reviewers.'

  • Your midterm paper should be a starting point to consider the rest of the final paper.

  • Your final paper will have more details, especially for the following sections:

    1. Methods

    2. Results

    3. Discussion

    4. Conclusion

2. Submission Guide

  • Each team only submits one file, midterm_lastname1_lastname2.zip, including

    1. midterm_lastname1_lastname2.PDF for your two-page poster draft in AAAI format.

    2. Confirmation_email.PDF for the email you received after the submission to the HCII 2024 Conference.

    3. (Optional) A code folder for ALL your Python Code and support files to recreate your results.

3. Notes

  • Each team only needs to submit one ZIP file, with both names on it. The zip file size should be less than 10 M.

  • Email 'x.qu@gwu.edu' your zip file as midterm_lastname1_lastname2.zip, and cc your teammate.

  • Midterm Draft, Due Saturday, October 7th, by midnight (23:59 EST)

  • Lab 6 Review, Due Monday, October 9th, by midnight (23:59 EST)

  • Midterm, Due Thursday, October 12th, by midnight (23:59 EST)