22k citations · 25.2k across the 19 of their papers we have counts for
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One Model To Learn Them All
Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer +4
Deep learning yields great results across many fields, from speech recognition, image classification, to translation. But for each problem, getting a deep model to work well involv…
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar +5
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also conne…
Neural Paraphrase Identification of Questions with Noisy Pretraining
Gaurav Singh Tomar, Thyago Duque, Oscar Täckström +2
We present a solution to the problem of paraphrase identification of questions. We focus on a recent dataset of question pairs annotated with binary paraphrase labels and show that…