Presentation and Blog Post Guidelines

Shadi Albarqouni

AI Young Investigator Group Leader at Helmholtz AI | TUM Junior Fellow at TU Munich

05.11.2020

Presentation Guidelines

  1. First Slide: Please have the title of the paper, authors (<3), conference proceedings, or journal, and the name of the presenter.
Example: 

The Future of Digital Health with Federated Learning

Rieke et al., Nature Digital Medicine, 2020

Presenter: Firstname Surname  
  1. Introduction: In the first few slides, you need to introduce the subject to the audience. A brief background (big picture) and a few related works (more concise) would help you to position your paper in the big picture. It is quite important to talk about the key conclusions at the very beginning. The rationale for the paper, i.e. why you did the work?, has to be addressed by the end of the Intro. slides.
  1. Methodology: You need to explain the method in details, if possible. Start with an overview of the framework (e.g. flow chart); input, output, and core components, before you dive deeper into the key contributions; e.g. design architecture, objective functions, …etc. Details that might distract the audience can be moved to the backup slides. In short, explain how did you do it?
  1. Experiments and Results: You need to explain the experimental designs; datasets, evaluation metrics, and training setup, and the rationale behind them, before you show the key results. The figures should be clearly labeled, e.g. explain the figures axes before you describe the results addressing the question what did you find?
  1. Conclusion & Future Work: Discuss the results (your interpretation), before you list the concluding reamrks, learned lessons, and future research directions.
  1. Group Discussion: This is the most important part where you need to list a few major things that you need to discuss with the group, for example:
    • How the paper could be improved? e.g. critique on the proposed method, design choices, missing experiments, or inappropriate evaluation metrics.
    • How the paper could be applied in medical domain? e.g. challenges in healthcare.
    • Have a look at the reviewers feedback, if available, e.g. openreview
  1. Needless to Say:
    • Read the paper carefully, and look for complementary materials; blog posts, videos, or code repo. to better understand the paper.
    • Be mindful of time. You have 30 mins for points 1-4, and 15 mins for point 5. As a rule of thumb, # slides < given time slot in mins.
    • Build a compelling story and try to engage your audience.
    • List the References in the footer of the corresponding slide
    • Practice, practice, practice

Blog Post Guidelines

The secret to getting into the deep learning community is high quality blogging. Read 5 different blog posts about the same subject and then try to synthesize your own view. Don’t just write something ok, either — take 3 or 4 full days on a post and try to make it as short and simple (yet complete) as possible. – Andrew Trask, DeepMind

This is a free-style blog post! One can hardly enforce guidelines. However, I personally liked the Dos and Don’ts appeared in this blog post. Here some examples

Helpful resourses

PhDComics Image source: phdcomics.com. @Jorge Cham

Should you have any questions, please drop me an email at shadi.albarqouni@tum.de

@ShadiAlbarqouni