%0 Journal Article %1 Elbayad2018PervasiveA2 %A Elbayad, Maha %A Besacier, Laurent %A Verbeek, Jakob %D 2018 %J ArXiv %K convolution sequence_modeling %T Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction %V abs/1808.03867

@article{Elbayad2018PervasiveA2, added-at = {2020-07-14T20:49:22.000+0200}, author = {Elbayad, Maha and Besacier, Laurent and Verbeek, Jakob}, biburl = {https://www.bibsonomy.org/bibtex/29430719ba5c02bfdf3cf0349c9ec2655/dallmann}, description = {[PDF] Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction | Semantic Scholar}, interhash = {7ad0ce2d1f3d68b98feab49de557ce82}, intrahash = {9430719ba5c02bfdf3cf0349c9ec2655}, journal = {ArXiv}, keywords = {convolution sequence_modeling}, timestamp = {2020-07-14T20:49:22.000+0200}, title = {Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction}, volume = {abs/1808.03867}, year = 2018 }