BayLearn
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: June 25, 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
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
Contact:
