Machine Learning Lunch at Vector

A weekly lunch talk series on topics in machine learning, hosted at the Vector Institute in Toronto.

The Machine Learning Lunch is a weekly 20-minute talk series for folks in the Vector Institute and University of Toronto ecosystem who are interested in machine learning. The talks are intended for a broad ML audience, with the goal of appealing to anyone who is interested in how to learn from data. Presenters are graduate students from multiple groups and research areas, covering the spectrum between theory and applications.

When: Fridays 12pm - 1pm (with a few exceptions, see detailed schedule below)
Where: Schwartz Reisman Institute, 11th Floor, Sobolev Space
Who: You, if you are affiliated with the Vector Institute or the University of Toronto and interested in machine learning!

Slack: Join #ml-lunch-vector on the Vector Institute slack for updates!
Mailing list: Join our google group to receive updates via email
Contact: ml-lunch-committee@cs.toronto.edu
Attendance Form (optional): let us know when you're coming!

Details of this talk series are currently being finalized. Stay tuned!

Upcoming Speakers

The organizing committee is still preparing the initial speaker roster. Check back for more details soon!

DatePresenterTitle
Oct. 10, 2024 (2:00-2:30pm, Vector Research Day)Ayoub El HanchiDoes Deep Learning Require Rethinking Generalization?
Oct. 18, 2024Jonas GuanDeep Learning Has Issues, Can Biology Help Fix Them?
Oct. 25, 2024(TBD)(TBD)
Nov. 1, 2024(TBD)(TBD)
Nov. 15, 2024Nikita DhawanScaling Causal Inference for Real-World Healthcare Challenges
Nov. 22, 2024(TBD)(TBD)
Nov. 29, 2024(TBD)(TBD)
Dec. 6, 2024(TBD)(TBD)
.........

Format and Theme

For the Fall 2024 semester, our talk theme is: Discoveries and Mysteries.

Possible themes for future semesters:

Please let us know if you have ideas for themes!

How do I get involved?

You can find out about new talks as they happen by joining the #ml-lunch-vector channel on the Vector Institute slack.

If you are a grad student and would like to present, please email us at ml-lunch-committee@cs.toronto.edu, or ping one of the organizing committee members on the Vector Institute slack. We will follow up with you to schedule your talk!

We highly encourage all grad student attendees of the ML Lunch talks to sign up as presenters, to ensure that the talks represent the full machine learning community at the Vector Institute and the University of Toronto. Don't worry if you don't have a polished presentation yet, we are happy to accept talks on in-progress work and open questions, and can work with you to ensure your talk appeals to a broad audience!

Organizing Committee

Faculty Sponsors

Institute Sponsors