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In the previous post, I briefly explained the context of how meta-learning emerged and the basic concept of few-shot learning to help understand meta-learning. So, in this post, I intend to explain meta-learning approaches. I plan to summarize what the pioneer papers are and what points each paper wants to make. However... since so many paper...

I would like to introduce the basic concepts of Meta Learning, a topic I have been putting off for a while. Over the past few years, Meta Learning has been a hot topic, consistently making its name as a Main Keyword in Top Tier Conferences. Especially considering the circulation speed of the AI ecosystem, it has been researched for quite a long ...

Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning For my first blog post, I would like to write about Sharp-MAML, which combines SAM, a hot topic in the generalization field these days (since 2020), and MAML, the pioneer of Meta Learning algorithms. After briefly introducing the SAM algorithm and MAML, I will explain what contribution wa...