Early Improving Recurrent Elastic Highway Network

To model time-varying nonlinear temporal dynamics in sequential data, a recurrent network capable of varying and adjusting the recurrence depth between input intervals is examined. The recurrence depth is extended by several intermediate hidden state units, and the weight parameters involved in determining these units are dynamically calculated... (read more)

Results in Papers With Code
(↓ scroll down to see all results)