Sharing to learn and learning to share -- Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review. (arXiv:2111.12146v2 [cs.LG] UPDATED)

Integrating knowledge across different domains is an essential feature of
human learning. Learning paradigms like transfer learning, meta learning, and
multi-task learning reflect the human learning process by exploiting the prior
knowledge for new tasks, encouraging faster learning and good generalization
for new tasks. This article gives a detailed view of these learning paradigms
along with a comparative analysis. The weakness of a learning algorithm turns
out to be the strength of another, and thereby merging them is a prevalent …

arxiv learning meta meta-learning multi-task learning review transfer learning