Larisa Soldatova

Transformational machine learning: Learning how to learn from many related scientific problems

2021 · Proceedings of the National Academy of Sciences

Almost all machine learning (ML) is based on representing examples using intrinsic features. When there are multiple related ML problems (tasks), it is possible to transform these features into extrinsic features by first training ML …