computer-code-4
Learning to Execute
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Universal Transformers
O. Vinyals, Lukasz Kaiser, Mostafa Dehghani, Jakob Uszkoreit, Stephan Gouws•Mon Jul 09 2018
The Universal Transformer (UT), a parallel-in-time self-attentive recurrent sequence model which can be cast as a generalization of the Transformer model and which addresses issues of parallelizability and global receptive field, is proposed.
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