TMLS 6th Annual Conference & Expo 2022

Call For Speakers

Call For Speakers

*All talks will be considered for future micro-summit events, as well

We invite submissions to the 6th Annual Toronto Machine Learning Summit, a unique, multi-track, conference that explores machine learning research alongside both practical & cutting edge applications and business studies. You may find the list of the many subject areas covered by the conference below.

Evaluation Criteria:

Submissions will be reviewed by the respective committee, and evaluated based on an ongoing basis. Emphasis will be on unique content, and content considered beneficial to our community. For an understanding of our audience, please keep in mind that we have distinct tracks; ML Engineers, ML Researchers, Data Scientists (and practitioners) and Business Executives all attend TMLS in each respective track. For a full breakdown of demographics, please reference the “Who Attends” section

If you’re interested in helping review talks, please email stating your interest.

Toronto Machine Learning Summit uses a scoring system to rate talks based on:

  1. Potential impact (promising/relevant/useful)
  2. Quality of the abstract & clarity of purpose
  3. Personal Interest from Committee Review Team

We refrain from accepting sponsored content. We are also accepting workshops, and encourage those who are interested in running workshops to submit here, as well.

TMLS 2022 Team & Suhas Pai Lead Program Chair

Thank you to the various Committee Members group gathered to suggest priority topics (not limited to):

  • Program Advisory Committee
  • NLP Committee
  • Reinforcement Learning Committee
  • Finance Industry Committee
  • Insurance Industry Committee
  • Healthcare Industry Committee
  • Retail Industry Committee
  • Telecom Industry Committee
  • Media Industry Committee
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