Training Machine-Learned Models with Temporal Conditioning for Time-Aware Inference

Abstract

An example method includes processing, using a temporal feature extraction system, a source data item to extract a temporal feature value associated with the source data item. The example method includes constructing a respective training input for a respective training example, the respective training input. The example method includes content obtained from the source data item. The example method includes the extracted temporal feature value. The example method includes generating, using a machine-learned model, a respective training output based on the respective training input, wherein the respective training output includes a content prediction. The example method includes computing, using the respective training output and a respective content evaluation signal for the respective training example, a content prediction loss. The example method includes training the machine-learned model using the content prediction loss.

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