Computer-Implemented Method of Training a Computer-Implemented Deep Neural Network and Such a Network
OwnerElahe Arani, Fahad Sarfraz +1inventors
InventorsElahe Arani, Fahad Sarfraz, Bahram Zonooz
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Abstract
A computer-implemented method of training a computer-implemented deep neural network with a dataset with annotated labels, wherein at least two models are concurrently trained collaboratively, and wherein each model is trained with a supervised learning loss, and a mimicry loss in addition to the supervised learning loss, wherein the super-vised learning loss relates to learning from environmental cues and supervision from the mimicry loss relates to imitation in cultural learning.
Claims12
A computer-implemented method of training a computer-implemented deep neural network with a dataset with annotated labels, wherein at least two models are concurrently trained collaboratively, wherein each model is trained with a supervised learning loss, and a mimicry loss in addition to the supervised learning loss, wherein the supervised learning loss relates to learning from ground-truth labels and supervision from the mimicry loss relates to aligning the output of the two models.
A computer-implemented deep neural network provided with a dataset with annotated labels and with at least two models that are concurrently trained collaboratively, wherein each model is trained with a supervised learning loss, and a mimicry loss in addition to the supervised learning loss, wherein the supervised learning loss relates to learning from ground-truth labels and supervision from the mimicry loss relates to aligning the output of the two models.
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