Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices

NeurIPS 2019 Don DennisDurmus Alp Emre AcarVikram MandikalVinu Sankar SadasivanVenkatesh SaligramaHarsha Vardhan SimhadriPrateek Jain

Recurrent Neural Networks (RNNs) capture long dependencies and context, and 2 hence are the key component of typical sequential data based tasks. However, the sequential nature of RNNs dictates a large inference cost for long sequences even if the hardware supports parallelization... (read more)

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