As of my last knowledge update in January 2022, I can provide information on recent methods up to that point. Keep in mind that there may have been further developments in the field since then.
[…]
It’s important to note that the field of machine learning is rapidly evolving, and new methods are continuously being proposed. For the latest advancements, I recommend checking recent conference proceedings (e.g., NeurIPS, ICML, ACL) and journals in the field.1
References
1Kaushik T. Meta-Learning Strategies for Efficient Knowledge Transfer in Multitask Machine Learning Environments. Edu Journal of International Affairs and Research. 2023;2(4):71-78. Accessed March 20, 2024. https://edupublications.com/index.php/ejiar/article/view/40