The post has been translated automatically. Original language: Russian English
Have you ever heard Jordan use Nash's approach? If you're talking about basketball, then no, but if you're talking about math, then catch it.
Some facts:
— the article is fresh, published on the arXiv in June 2024
— some of the work was done with the participation of colleagues from Meta AI
— the work was carried out with the support of the European ERC Ocean grant
The approach can be applied in ML when working with "unbalanced" datasets. A little more precisely in the part of the translation of "balanced" — where the quality is important to us not on average, but for each class (teaser in the screenshot).
A separate respect:
— the code is available on github: reds-lab/Nash-Meta-Learning
Have a nice read and use in production.
🤗 plus in karma for likes and repost
#study
Have you ever heard Jordan use Nash's approach? If you're talking about basketball, then no, but if you're talking about math, then catch it.
Some facts:
— the article is fresh, published on the arXiv in June 2024
— some of the work was done with the participation of colleagues from Meta AI
— the work was carried out with the support of the European ERC Ocean grant
The approach can be applied in ML when working with "unbalanced" datasets. A little more precisely in the part of the translation of "balanced" — where the quality is important to us not on average, but for each class (teaser in the screenshot).
A separate respect:
— the code is available on github: reds-lab/Nash-Meta-Learning
Have a nice read and use in production.
🤗 plus in karma for likes and repost
#study
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