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Google DeepMind

@googledeepmind

We’re a team of scientists, engineers, ethicists and more, committed to solving intelligence, to advance science and benefit humanity.

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linkhttp://deepmind.google calendar_today19-01-2016 13:46:08

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RFA is a linear-complexity attention based on random feature methods. Applied in transformer models, it improves efficiency w/o accuracy loss on MT and language modelling: dpmd.ai/RFA Work by @haopeng01, Nikos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith & Lingpeng Kong

RFA is a linear-complexity attention based on random feature methods. Applied in transformer models, it improves efficiency w/o accuracy loss on MT and language modelling: dpmd.ai/RFA

Work by @haopeng01, <a href="/nik0spapp/">Nikos Pappas</a>, <a href="/DaniYogatama/">Dani Yogatama</a>, <a href="/royschwartzNLP/">Roy Schwartz</a>, <a href="/nlpnoah/">Noah A. Smith</a> &amp; <a href="/ikekong/">Lingpeng Kong</a>