Transfer learning is the improvement of learning in a new task through the transfer of knowledge from a related task that has already been learned.
Lisa Torrey, Jude Shavlik (2009) - «Transfer Learning»
Transfer learning is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem.