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)
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)
Cryptoassets enthusiasts use this application for their trade activities, and they may make donations for this cause.If somehow Telegram do run out of money to sustain themselves they will probably introduce some features that will not hinder the rudimentary principle of Telegram but provide users with enhanced and enriched experience. This could be similar to features where characters can be customized in a game which directly do not affect the in-game strategies but add to the experience.
