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MLSys 2022 - Call For Tutorial Proposals

Thursday, September 1, 2022,  Hybrid conference

Overview

MLSys is looking for timely, relevant and tangible tutorial topics that provide immediate value and learning for its attendees working at the intersection of systems and machine learning. We also encourage tutorials with a more hands-on, practical nature so that attendees can work on problems around algorithmic and/or system implementation in machine learning. We will consider any topic, provided that the proposal makes a strong argument that the tutorial is important for the MLSys 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 can be pitched at a range of levels of expertise, but this needs to be made explicit in the prior knowledge that is expected. A 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.

MLSys tutorials can be half-day sessions which will be held on Thursday, April 14, 2022. 

Submission Format and Instructions

Interested parties must submit a proposal by December 15, 2021 5:00 PM PT. Proposals should be submitted via email at the following address: mlsys2022+tutorial@gmail.com and should include “[MLSys Tutorial]” in the subject line.

The application form has the following fields with this required content.

  • Title: Keep the title short and descriptive.

  • Abstract of 300 words

  • Description and outline: What material will the tutorial cover and in what depth? Please provide a detailed outline.

  • Organizers: Include names, affiliations, email addresses, and short biographies that highlight both organizational experience and technical expertise.

  • Presenters: Include names, affiliations, email addresses, and short biographies 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.

  • Any other relevant information: Include intended audience, previous tutorials if any, links to video recordings of the presenters’ previous talks, and any supporting materials. 

Criteria of Proposal Evaluation

Tutorials are selected based on:

  • Breadth of interest in the area and the timeliness of the topic

  • Technical depth and breadth of the proposal

  • Differentiation from other tutorials

  • Presenters bringing diversity of viewpoints and thinking, as well as gender, race, affiliation, or geographical representation

  • How well the topic fits within the overall content of the conference

For a submission to be accepted, all feedback provided by the Workshop and Tutorial Chairs must be implemented in the final tutorial.

Note: Every presenter is required to provide their presentation slides for electronic distribution to the tutorial attendees. Please seek legal approval from your company before submitting your proposal to us on December 15, 2021.  Secure legal approval of your final content (e.g. logos, IP, referenced content) before you submit your slides to us on June 17, 2022.

Important Dates for Tutorial Submissions

  • Tutorial Application Open: October 27, 2021  5:00 PM PST 

  • Tutorial Application Deadline: December 15, 2021 5:00 PM PST

  • Tutorial Acceptance Notification: January 5, 2022  5:00 PM PST 

Workshop and Tutorial Chairs 2022

Hai “Helen” Li, Duke University

Christopher Matthew De Sa. Cornell University