Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks

ICLR 2018 Victor CamposBrendan JouXavier Giro-i-NietoJordi TorresShih-Fu Chang

Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty in capturing long term dependencies... (read more)

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