International Business Machines Corporation

Brian Michael Belgodere

Parijat Dube

Bishwaranjan Bhattacharjee

Michael Robert Glass

Patrick D Watson

John Ronald Kender

Matthew Leon Hill

Noel C Codella

Siyu Huo

Whether to train a new neural network model can be determined based on similarity estimates between a sample data set and a plurality of source data sets associated with a plurality of prior-trained neural network models. A cluster among the plurality of prior-trained neural network models can be determined. A set of training data based on the cluster can be determined. The new neural network model can be trained based on the set of training data.

Training transfer-focused models for deep learning

A computer-implemented method for data labeling is provided. The computer-implemented method assigns pseudo-labels to unlabeled examples of data using a similarity metric on an embedding space to produce pseudo-labeled examples. A curriculum learning model is trained using the pseudo-labeled examples. The curriculum learning model trained with the pseudo-labeled examples is employed in in a fine-tuning task to enhance classification accuracy of the data.

Generating and augmenting transfer learning datasets with pseudo-labeled images

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Fairfield, CT, United States of America

Brian Michael Belgodere