Patent ID: 11934922
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A computer-implemented transfer learning method, comprising:
carrying out operations on a computing device comprising a processor operably associated with memory, the operations comprising:
accessing a plurality of pre-trained source machine learning models (MLMs);
accessing a test dataset of a target domain, the test dataset comprising a plurality of data objects associated with labels;
inputting the data objects of the test dataset into each of the source MLMs generating associated labels for each of the source MLMs;
for each of the source MLMs, calculating a metric reflecting a similarity between the labels of the test dataset and the generated labels;
selecting a base MLM to be used for transfer learning from the plurality of MLMs based upon the calculated metric; and
training the selected base MLM with a target dataset for the target domain, wherein selecting the source model as the selected base MLM further comprises
capturing knowledge of the selected base MLM, including:
using a context representation layer of the selected base model; and
replacing a classification layer of the selected base model with a new classifier mapped to space of the target dataset, and

wherein the calculated metric is limited to a position of a returned output, and the position is selected from a span, bounding box, or location.