A chemometrician's guide to transfer learning

Abstract

Domain adaptation (DA) and Transfer Learning (TL) are terms coined by the machine learning community, particular computer vision. However, the chemometrics community has been working on similar problems (with chemical and spectroscopic contexts) for much longer and these techniques go under the moniker of calibration transfer and maintenance (CTM). Both the machine learning and chemometrics communities often encounter the same problem: their prediction models have a tendency to rely too much on the distribution of the data on which they have been trained. In practice, we are constantly updating a predictive model on data that evolves over time.

Topics & Concepts