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Wednesday, June 26 • 15:00 - 15:20
Attention-Based Neural Networks for Relational Data

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Attention-based neural networks have recently achieved excellent performance on machine translation tasks. A 2017 NIPS paper from Google , “Attention Is All You Need”, demonstrated that attention mechanisms have the potential to replace recurrent neural networks, which are known to be computationally expensive and at times unstable. We provide a detailed example of how the same ideas can be applied to relational databases, by using attention layers which learn to condense the information present in a collection of related data tables, without the need for recurrent layers or hand-crafted features.

avatar for Scott Brownlie

Scott Brownlie

Senior Data Scientist, TOTVS Labs
Senior Data Scientist at TOTVS Labs. Holds a BSc in Mathematics from the University of Glasgow and an MSc in Mathematics from the University of Cambridge.

Wednesday June 26, 2019 15:00 - 15:20 GMT-03
Room 8 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil