Attention is all you need

Illia Polosukhin

Currently most of the structured processing relies on recurrent or convolutional models in a encoder-decoder configuration. The best performing models connect decoder with encoder via attention mechanism. Illia will describe his previous work at Google on a simple network architecture, the Transformer, based solely on attention mechanisms. Experiments on neural machine translation task show improvement over existing best results at fraction of training costs compared to previous state-of-the-art recurrent models..

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