Dates

Deadline for proposal submission: Wednesday 8th June AOE

Final Decisions: Wednesday 3rd August AOE

Tutorials: Monday 5th of December

 

 

We welcome proposals for virtual tutorials on either core machine learning topics or topics of emerging importance for machine learning, broadly construed. We will consider any topic, provided that the proposal makes a strong argument that the tutorial is important for the NeurIPS community. Tutorials should be of interest to a substantial portion of the community and should represent a sufficiently mature area of research or practice. Tutorials are expected to be self-contained, i.e. some part of the tutorial may need to be spent on covering necessary background material.

 

A NeurIPS tutorial should not focus exclusively on the results or tools of the presenters or their organizations, and should be more reflective of the research within the wider machine learning community. A tutorial should provide a balanced overview of an area of research. It should also provide a balance between known results and open problems.

 

Each accepted tutorial will be 2.5 hours (150 minutes) long, including Q&A and a discussion panel. We anticipate that there will be between 12-15 tutorials, with 2 tutorials running in parallel. Tutorials will take place virtually (no in-person alternative) on a single day and avoid overlap with the rest of the Program.

 

*New this year*: each tutorial should include a discussion panel to broaden the discussion on the topic. The panel should include additional researchers from the field, and a moderator.

 

We discourage tutorial topics that overlap heavily with tutorials presented at NeurIPS or ICML in the past three years. We also aim to select tutorial presenters who have not presented a tutorial at NeurIPS or ICML in the past five years.

 

Proposals structure

Proposals should be no more than five pages in 12-point font submitted in PDF format. Submit your proposal in this Tutorial proposal submission form. Each proposal should be clearly structured to provide the following information:

• Title
• Abstract (up to 250 words)
• Description and outline: What material will the tutorial cover and in what depth? Please provide a detailed outline.
• Goals: What are the objectives of the tutorial? What is the benefit to attendees? What are the expected learning outcomes (in terms of knowledge, skills and understanding)? 
• Why is this tutorial important to include at this NeurIPS in particular? How will you engage a broad audience? How will your presentation be effective in an online format? How will the panellists compliment your presentation?
• Previous tutorials: What are the related or similar tutorials presented in the past 3 years at NeurIPS or at another venue? Please list the dates and venues, and describe the similarities and differences between the previous tutorials and proposed tutorial. If available, please include URLs for slides and video recordings.
• Presenters (max 3): Who are the presenters? Please provide names, affiliations, email addresses, and short bios for each presenter. Bios should cover the presenters' expertise related to the topic of the tutorial. If there are multiple presenters, please describe how the time will be divided between them. All presenters listed in the proposal are expected to attend. Co-presenting of tutorials is strongly encouraged, but it is not mandatory.
• Panel: Who are the additional panellists? Please provide names, affiliations, email addresses and short bios (in relation to the tutorial’s topic). Please highlight who will moderate the discussion.
• Diversity: please specify how the speakers and panellists represent the diversity in our community, considering aspects such as (non-exhaustive) gender, race, geographical location, institution, seniority, background, specialty.
• Links to video recordings of the presenters’ previous talks (optional, but extremely helpful)
• A list of the most important references that will be covered.

 

Proposal strengths:

• A diverse set of speakers and panellists. We encourage speakers from different institutions with a variety of perspectives to reduce knowledge bias.
• Speakers should be experienced in the topic proposed, as demonstrated by publications and talks.

Tutorial Structure

• 2 hours presentation (including 10 minutes for technical Q&A and clarifying questions), followed by 30 minute panel
• Presentation has max 3 speakers, panel has max 6 participants (including the moderator)
• Online format. Tutorials can be presented live or pre-recorded. Panel would be live. All participants are required to participate live (for Q&A and panel).
   

Regarding the panel, guidance is that it should be:

• 30 minutes at the end of the tutorial (not longer or shorter)
• Max 6 participants (including the moderator) for the panel
• The panel should represent diverse perspectives

 

• Can the moderator be one of the speakers? Yes, the moderator can be either in addition to the speakers and panellists, or be one of the speakers. We request that moderators prepare a list of discussion topics and questions if the audience is not very active.
• Will you consider different time zones? Yes, the tutorials, as the main program, will cover many time zones. We however encourage each submission to target a small range of time zones, taking into account the location of the speakers and panellists.
• Are panellists included in the “tutorial speakers who have not presented a tutorial in the past five years?” No, this point only refers to the tutorial presenters.
• Can I submit multiple proposals? No, each researcher can submit at most one proposal to be a Speaker. 
• Can researchers be present at multiple panels? No, each researcher can be a part of maximum one panel.
• Can a researcher be a Speaker at one tutorial and panellist at another? While proposals will not be disqualified for this, we will encourage researchers to select one opportunity at most.

 

For other questions, please contact us at tutorial-chairs@neurips.cc

 

Tutorial Chairs, NeurIPS 2022
Adji Bousso Dieng, Andrew Gordon Wilson, Jessica Schrouff
tutorial-chairs@neurips.cc