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.
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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.