New workshop at @icmlconf: Updatable Machine Learning (UpML 2022)!
Training models from scratch is expensive. How can we update a model post-deployment but avoid this cost? Applications to unlearning, domain shift, & more!
Deadline May 12
upml2022.github.io #ICML2022 (1/3)
Training models from scratch is expensive. How can we update a model post-deployment but avoid this cost? Applications to unlearning, domain shift, & more!
Deadline May 12
upml2022.github.io #ICML2022 (1/3)
Ft stellar lineup of invited speakers including: Chelsea Finn (@chelseabfinn), Shafi Goldwasser, Zico Kolter (@zicokolter), Nicolas Papernot (@NicolasPapernot), & Aaron Roth (@Aaroth)
They've studied UpML in a variety of contexts, including unlearning, robustness, fairness (2/3)
They've studied UpML in a variety of contexts, including unlearning, robustness, fairness (2/3)
Workshop is co-organized with lead organizer Ayush Sekhari (@ayush_sekhari) and Jayadev Acharya (@AcharyaJayadev), and supported by an excellent program committee (being finalized).
We look forward to seeing your best work in this emerging area! (3/3)
We look forward to seeing your best work in this emerging area! (3/3)
@ayush_sekhari @AcharyaJayadev Since @savvyRL asked, I'm organizing this and also TPDP (
(Maybe we'd get the announcement out on time though... we were 16 minutes late from the prescribed 8 AM😅)
https://twitter.com/thegautamkamath/status/1508808193325113365). We'd love to have your help as a fellow organizer in the future!
(Maybe we'd get the announcement out on time though... we were 16 minutes late from the prescribed 8 AM😅)
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