Transfer Learning is a machine learning technique where a model developed for one task is reused as the starting point for a model on a related task, allowing knowledge gained from solving one problem to be applied to different but related problems.
Sources:
- Pan and Yang: A Survey on Transfer Learning
- Sebastian Ruder: Transfer Learning - Machine Learning’s Next Frontier