Florian Strub

End-to-end optimization of goal-driven and visually grounded dialogue systems

2017 · arXiv (Cornell University)

End-to-end design of dialogue systems has recently become a popular research topic thanks to powerful tools such as encoder-decoder architectures for sequence-to-sequence learning. Yet, most current approaches cast human-machine dialogue management as a supervised learning …

Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs

2015 · LillOA (Université de Lille (University Of Lille))

International audience