EQUILIBRIUM MODELS ACCELERATION VIA JACOBIANS STABILIZATION SYSTEMS AND METHODS
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United States of America Patent
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Issued Date -
Dec 15, 2022
app pub date -
Jun 9, 2021
filing date -
Jun 9, 2021
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Abstract
Regularized training of a Deep Equilibrium Model (DEQ) is provided. A regularization term is computed using a predefined quantity of random samples and the Jacobian matrix of the DEQ, the regularization term penalizing the spectral radius of the Jacobian matrix. The regularization term is included in an original loss function of the DEQ to form a regularized loss function. A gradient of the regularized loss function is computed with respect to model parameters of the DEQ. The gradient is used to update the model parameters.
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