mccaffary/continual-learning
Repository of continual learning papers
This is a curated list of research papers and articles related to continual learning in machine learning and neuroscience. It helps researchers, PhD students, and practitioners easily find relevant literature on how AI systems can learn new tasks without forgetting previous knowledge. The output is a structured collection of papers categorized by topic, including links and relevance.
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Use this if you are a researcher or student in AI or neuroscience looking for a comprehensive overview of existing work on continual learning to inform your own studies or projects.
Not ideal if you are looking for ready-to-use software, code implementations, or a tutorial for applying continual learning in a practical application without diving into the academic literature.
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Dec 30, 2021
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