Short answers, pulled from the story.
Stevo Bozinovski and Ante Fulgosi published the earliest known paper on transfer learning in 1976. Their work appeared in the Proceedings of Symposium Informatica 3-121-5 held in Bled.
A domain consists of a feature space and a marginal probability distribution where the two elements interact. Given a specific domain labeled D_s, a task requires two components: a label space Y and an objective predictive function f.
Researchers applied these methods to cancer subtype discovery during the 32nd Conference on Neural Information Processing Systems in Montréal that took place in 2018. That event featured work by Hajiramezanali, Dadaneh, Karbalayghareh, Zhou, and Qian.
In 2020, researchers discovered that electromyographic signals from muscles could transfer knowledge to electroencephalographic brainwave classifications because both signal types shared similar physical natures. The system moved data from gesture recognition domains into mental state recognition domains.
Andrew Ng stated during his NIPS 2016 tutorial that transfer learning would become the next driver of machine learning commercial success. He positioned it as following the era dominated by supervised learning.