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Waymo & Google’s PolyLoss: Tailoring Loss Functions to Different Tasks and Datasets
May 3, 2022, 5:16 p.m. | Synced
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Waymo and Google researchers’ new paper A Polynomial Expansion Perspective of Classification Loss Functions presents PolyLoss, a novel and simple framework that redesigns loss functions as a linear combination of polynomial functions that can be tailored to different target tasks and datasets.
The post Waymo & Google’s PolyLoss: Tailoring Loss Functions to Different Tasks and Datasets first appeared on Synced.
ai artificial intelligence datasets deep-neural-networks google loss loss-function machine learning machine learning & data science ml research technology waymo
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