Gated Multimodal Units for Information Fusion

@article{Ovalle2017GatedMU,
  title={Gated Multimodal Units for Information Fusion},
  author={John Edison Arevalo Ovalle and Thamar Solorio and Manuel Montes-y-G{\'o}mez and Fabio A. Gonz{\'a}lez},
  journal={CoRR},
  year={2017},
  volume={abs/1702.01992}
}
This paper presents a novel model for multimodal learning based on gated neu-ral networks. The Gated Multimodal Unit (GMU) model is intended to be used as an internal unit in a neural network architecture whose purpose is to find an intermediate representation based on a combination of data from different modalities. The GMU learns to decide how modalities influence the activation of the unit using multiplicative gates. It was evaluated on a multilabel scenario for genre classification of… CONTINUE READING
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