Research Practicum in Artificial Intelligence
Jinho D. Choi
  • Overview
    • Syllabus
    • Schedule
    • Discussions
  • Speed Dating
    • Profiles
  • Faculty Interests
    • AI Faculty
  • Research Areas
    • AI Conferences
  • Task Selection
  • Introduction
    • Motivation
    • Overview
    • Exercise
  • Related Work
    • Literature Review
    • Exercise
  • Approach
    • Algorithm Development
    • Model Design
    • Data Creation
  • Research Challenges
  • Experiments
    • Datasets
    • Models
    • Results
    • 5.4. Homework
  • Analysis
    • Performance Analysis
    • Error Analysis
    • Discussions
    • 6.4. Homework
  • Conclusion & Abstract
    • Conclusion
    • Title & Abstract
  • Peer Review
  • Presentations
  • Team Projects
    • Fall 2023
    • Fall 2022
  • Assignments
    • HW1: Speed Dating
    • HW2: Research Areas
    • HW3: Team Promotion
    • HW4: Introduction
    • HW5: Related Work
    • HW6: Approach
    • HW7: Experiments
    • HW8: Analysis
    • HW9: Conclusion & Abstract
    • HW10: Peer Review
    • Team Project
  • Supplementary
    • LaTex Guidelines
      • Getting Started
      • File Structure
      • Packages
      • References
      • Paragraphs
      • Labels
      • Tables
      • Figures
      • Lists
    • Writing Tips
    • Progress Reports
    • Team Promotion
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  1. Assignments

HW6: Approach

Writing

  • Write the Approach section in your team overleaf project.

  • Recommended length: 150 - 300 lines (including algorithm boxes, figures, and tables).

  • Submit the PDF version of your current draft up to the Approach section.

Rubric

  • Overview and Structure (2 points)

    • Is the overall architecture of the approach clearly demonstrated, from input to output?

    • Is the approach well-organized and logically structured?

  • Methodology (2 points)

    • Are at least two methods (e.g., baseline and advanced) described in detail?

    • Is there a clear conceptual comparison between the methods?

  • Technical Soundness (2 points)

    • Are the descriptions of all methods clear and comprehensible?

    • Are the descriptions of the methods technically sound and accurate?

  • Visual and Supplementary Elements (2 points)

    • Are appropriate supplementary materials (e.g., figures, tables, algorithms) provided to enhance understanding?

  • Justification and Rationale (2 point)

    • Are the choices of methods well-justified with clear reasoning?

    • Is there a discussion of why these methods are appropriate for the research question?

  • Generalizability (1 point)

    • Is the approach described using generalizable methods that could be applied to similar problems?

  • Novelty (1 point)

    • Does the approach demonstrate originality or innovative elements?

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Last updated 7 months ago