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[D] how do you remember methods in papers you read? (alien.top)

submitted 11 months ago by Illustrious-Pay-7516@alien.top to c/machinelearning@academy.garden

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A few months ago I came across maximum mean discrepancy as a measure of distribution difference, and today I read this term and totally forgot what is means and had to find a youtube video to refresh my understanding. This happens a lot of times in my research. I feel like unless something is really basic (e.g. CNN, cross entropy, etc) and used a lot in my day-to-day model building, I easily forgot what I have read. I wonder is it just because I have a bad memory or I do not have a good way to organize information?

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[–] ginger_beer_m@alien.top 1 points 11 months ago (3 children)

The only paper I remember how it works is when I try to implement it myself

[–] saintshing@alien.top 1 points 11 months ago

Or you try to teach someone else

By implementing a model without looking at the paper, you essentially perform autoencoding/masked language modelling and learn a more compact latent representation.

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