jensen888/Meta-Learning-Papers
A classified list of meta learning papers based on realm.
This is a curated collection of research papers focused on meta-learning, organized by specific sub-fields like few-shot learning, reinforcement learning, and AutoML. It provides direct links to academic papers, primarily from arXiv. This resource is for machine learning researchers, PhD students, and data scientists looking to explore or stay updated on advancements in meta-learning techniques.
366 stars. No commits in the last 6 months.
Use this if you are a researcher or practitioner in machine learning and need to find relevant academic literature on specific meta-learning topics quickly.
Not ideal if you are looking for ready-to-use code, tutorials, or a general introduction to machine learning for non-experts.
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Sep 29, 2022
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