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AssigneeChime Financial, Inc.
InventorsAnirudh Ravula, Brian Tsay
Estimating the term…
The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize transformation and projection layers to implement neural networks in tabular data environments. For example, the disclosed systems identify tabular data sets and segregate measured tabular data values and placeholder tabular data values. In one or more embodiments, the disclosed systems transform the measured tabular data values to a neural network value range based on the distribution of the measured tabular data values. Moreover, the disclosed systems replace placeholder tabular data values with a constant value within the neural network value range. In addition, the disclosed systems identify numerical values and utilize a projection layer to generate feature vectors within a high-dimensionality feature space. In one or more embodiments, the disclosed systems utilize the resulting high-dimensionality tabular data set with a neural network to generate prediction results (e.g., for training and/or inference).
A computer-implemented method comprising:
A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause a computer system to:
A system comprising:
Dependencies are inferred from the claim text.