KSENIA_AND_AI Telegram 544
Pretty cool!

this paper's nuts. for sentence classification on out-of-domain datasets, all neural (Transformer or not) approaches lose to good old kNN on representations generated by.... gzip (c)

It's super elegant. If x1 and x2 are similar, then their joint compression (lzw/whatever) is more efficient. (c)

https://twitter.com/giffmana/status/1679399205570326528?s=46&t=tJA3XyJ6UXEb-9Si1PfeJQ



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Pretty cool!

this paper's nuts. for sentence classification on out-of-domain datasets, all neural (Transformer or not) approaches lose to good old kNN on representations generated by.... gzip (c)

It's super elegant. If x1 and x2 are similar, then their joint compression (lzw/whatever) is more efficient. (c)

https://twitter.com/giffmana/status/1679399205570326528?s=46&t=tJA3XyJ6UXEb-9Si1PfeJQ

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