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Pre-trained representations reduce the need for many heavily-engineered task-specific architectures.
Drawn from what Kristina Toutanova, Kenton Lee and 2 others said
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Kristina Toutanova We show that pre-trained representations reduce the need for many heavily-engineered task-specific architectures. arxiv.org
One of the four authors of the 2018 paper "BERT:…
Their wordsWe show that pre-trained representations reduce the need for many heavily-engineered task-specific architectures.
Where this was said
↗BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingarxiv.org
All 16 korrents from this piecethis one is 12th
Kenton Lee We show that pre-trained representations reduce the need for many heavily-engineered task-specific architectures. arxiv.org
One of the four authors of the 2018 paper "BERT:…
Their wordsWe show that pre-trained representations reduce the need for many heavily-engineered task-specific architectures.
Where this was said
↗BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingarxiv.org
All 16 korrents from this piecethis one is 11th
Ming-Wei Chang We show that pre-trained representations reduce the need for many heavily-engineered task-specific architectures. arxiv.org
One of the four authors of the 2018 paper "BERT:…
Their wordsWe show that pre-trained representations reduce the need for many heavily-engineered task-specific architectures.
Where this was said
↗BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingarxiv.org
All 16 korrents from this piecethis one is 10th
Jacob Devlin We show that pre-trained representations reduce the need for many heavily-engineered task-specific architectures. arxiv.org
One of the four authors of the 2018 paper "BERT:…
Their wordsWe show that pre-trained representations reduce the need for many heavily-engineered task-specific architectures.
Where this was said
↗BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingarxiv.org
All 16 korrents from this piecethis one is 9th
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