Bay Area Machine Learning Symposium


The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas.

We encourage the submission of poster abstracts. Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings… All accepted abstracts will be presented as posters, a few will be selected for short oral presentations or lightning talks. We do not intend to publish proceedings, only abstracts will be shared through an online repository. Our primary goal is to foster discussion!

Important Dates for BayLearn 2021

Abstract submission deadline: July 9th, 11:59pm PDT

Acceptance notification: September 3, 2021

Registration opens: September 7, 2021

Symposium: October 28, 2021

Organizing Committee

Jerremy Holland, Apple

Jean-François Paiement, AT&T Research

Sudarshan Lamkhede, Netflix Research

Isabelle Guyon, ChaLearn and U. Paris-Saclay

Dumitru Erhan, Google Brain

Advisory Committee

Samy Bengio, Apple

David Grangier, Google Research, Brain Team

Alexei Pozdnukhov, Sidewalk Labs

Mohak Shah, LG Electronics

Alice Xiang, Partnership on AI

Local Host Arrangements

NA: the conference will be held on-line