Web: http://arxiv.org/abs/2111.12146

Jan. 26, 2022, 2:11 a.m. | Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki

cs.LG updates on arXiv.org arxiv.org

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

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