Poster Presentation Information
Photo from the Fall 2020 final poster session.
When & Where
Time: Jan 6th 9:00am-12:00pm
Location: Online. Tencent Meeting ID: ID: 384-476-6912
What to include in the poster?
Abstract: a short summary of your work (no more than 100 words)
Introduction/Motivation: why is this problem important and what is your contribution?
Method: the machine learning methodology used
Results: the dataset you use and the experimental results (tables and figures)
Conclusion/Discussion: conclude your technical/application contributions
Reference: include 2-3 important references (You can use smaller fonts for this part.)
Make your poster more engaging by using color, diagrams and images.
Include an abstract no more than 100 words.
Avoid illegible fonts in size and style.
Use succinct, short sentences and avoid using paragraphs of text on your poster. You can also skip words such as “Figure 1”, “Table 2” in the captions
Make sure diagrams and images are large enough to be viewed from a distance.
Be prepared to answer questions on your research topic.
Online Presentation
Each team will choose one speaker to present the poster in 3 minutes. (For special occasions that non of the team members can present online, please prepare a video before hand and send it to TA Dexu Kong.)
After the presentation of all teams, a 30-min live Q&A will be held for each track, moderated by the teaching staff.
Poster Grading Policy
Your poster grade will consists of two parts: 5 points for participation (individual) + 25 points for the poster scores (team)
Participation: You can earn participation points by providing feedback in the poster discussion thread (Jan 5th) or asking questions during the live Q&A.
Poster scores: You poster will be graded by the instructor and invited guests using the following rules.
| Category | Criteria | What it means? | Points |
| Clarity | Purpose | Is the problem and motivation clearly defined? | 4 |
| Methodology | Is the method appropriately chosen and clearly explained? | 4 | |
| Implementation | Are the experimental/numerical results clearly presented? | 4 | |
| Contributions | Technical contribution | Does it have sufficient technical content? i.e. teaches the readers some machine learning related knowledge beyond class material? | 4 |
| Applicational / analytical contribution | Does it show meaningful analysis on results and findings? | 4 | |
| Presentation | Poster Quality | Is the poster well organized and legible? Does it make good use of figures and visual representations? | 3 |
| Extra credit | Novelty | Does it propose a novel problem or novel solution? | 2 |
Poster Awards
You can vote for up to two teams for each of the following awards with special prizes!
Best Presenter (1 person)
Best Poster Award (1 team)
Most Impactful Work (1 team per track)