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 2020 June 25th, 2020 at 11:59PM PDT - Abstract submission deadline August 25, 2020 - Acceptance Notifications October 13th, 2020 at 5:00PM PDT - Registration closes (You must register by 5:00PM PDT on Tuesday, October 13th, if you plan to attend BayLearn 2020) October 15th, 2020 - BayLearn 2020 Virtual Symposium Organizing Committee Jerremy Holland, Apple Inc. Jean-Francois Paiement, AT&T Research Sudarshan Lamkhede, Netflix Research Alice Xiang, Partnership on AI Advisory Committee
David Grangier, Google Research, Brain Team Isabelle Guyon, ClopiNet Alexei Pozdnukhov, Sidewalk Labs Mohak Shah, LG Electronics Questions? Please email us at |
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