SYSTEMS AND METHODS FOR MACHINE LEARNING TRANSFERABILITY

Systems and methods for transfer learning are provided. According to one aspect, a method for transfer learning includes obtaining a target dataset, a source dataset, and a machine learning model trained on the source dataset; selecting a hard subset of the target dataset based on a similarity betwe...

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Bibliographische Detailangaben
Hauptverfasser: Menta, Tarun Ram, Patil, Akash Sunil, Jandial, Surgan, Krishnamurthy, Balaji, Sarkar, Mausoom, Agarwal, Chirag
Format: Patent
Sprache:eng
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Zusammenfassung:Systems and methods for transfer learning are provided. According to one aspect, a method for transfer learning includes obtaining a target dataset, a source dataset, and a machine learning model trained on the source dataset; selecting a hard subset of the target dataset based on a similarity between the hard subset and the source dataset; computing a transferability metric for the target dataset based on the hard subset of the target dataset; and training the machine learning model using the target dataset based on the transferability metric.