Erzeugung Ausgerichteter Maschinenlernmodelle durch Bootstrapping mit Aufmerksamkeit

Details

Veröffentlichungs-Nr.

EP4718331

Anmeldetag

15. August 2025

Veröffentlichung

1. April 2026

Rechtsraum

EP

Abstract

Aspects of the present disclosure provide techniques for resource-efficient machine learning model configuration. Embodiments include dividing a set of labeled training data into training data subsets. Embodiments include training a first machine learning model using a first training data subset of the training data subsets. Embodiments include training a second machine learning model that has a same architecture as the first machine learning model using a second training data subset of the training data subsets. Embodiments include creating an aligned weight matrix based on weights of the trained first machine learning model and the trained second machine learning model. Embodiments include configuring an aligned machine learning model that has the same architecture as the first machine learning model using the aligned weight matrix.

Anmelder

Firma

Intuit Inc.

Land

🇺🇸 USA