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DTSTAMP:20211207T055338Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211118T121500
DTEND;TZID=America/Chicago:20211118T131500
UID:submissions.supercomputing.org_SC21_sess415_bof176@linklings.com
SUMMARY:Towards FAIR for Machine Learning Models
DESCRIPTION:Birds of a Feather\n\nTowards FAIR for Machine Learning Models
 \n\nKatz, Liao, Bharathy\n\nMachine learning (ML) is increasingly used in 
 HPC, both for training new models and testing/using existing models. To ma
 ke efficient use of HPC and human resources, it's essential to effectively
  share developed ML models, and to think of them as products, like data an
 d software; this can be done by applying the FAIR principles to them. This
  BoF will discuss FAIR for ML models, and aim to bring HPC ML researchers 
 together with the larger ML and information systems communities. It will b
 e 1/4 presentation and 3/4 discussion of bottlenecks and future community 
 activities/organization.\n\nTag: Online Only, Machine Learning and Artific
 ial Intelligence\n\nRegistration Category: Tech Program Reg Pass, Exhibit 
 Hall Only
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