Collaborative multitask and transfer learning for predicting properties with scarce data

Abstract

A method of forming a model for predicting one or more properties is provided. The method includes determining a plurality of datasets of properties. The method also includes training a common encoder and one or more individual decoders utilizing the plurality of datasets of properties. Each individual decoder of the individual decoder(s) is distinct from each other and is used to model different properties. The method also includes determining a transfer learning dataset for one or more properties, training a new decoder using the transfer learning dataset and the common encoder, generating a predicted property using the common encoder and the new decoder, and preparing an item using the predicted property.