Patent ID: 11861881

Abstract:
Techniques for training a first electronic neural network classifier to identify a presence of a particular property in a novel supra-image while ignoring a spurious correlation of the presence of the particular property with a presence of an extraneous property are presented. The techniques include obtaining supra-images; passing each supra-image through a second electronic neural network classifier trained to identify a presence of the extraneous property, such that an attention weight is assigned to each component of the supra-image; identifying, for each supra-image that has a positive classification by the second electronic neural network classifier, a supra-image threshold attention weight, where each component that has a respective attention weight above its supra-image threshold attention weight corresponds to positive classification by the second electronic neural network classifier; removing components of the supra-image that have respective attention weights above their respective supra-image threshold attention weights; and training the first electronic neural network.