most citedA large annotated medical image dataset for the development and evaluation of segmentation algorithms

718 citations · 727 across the 3 of their papers we have counts for

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cs.LG2019

Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics

Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel +4

A recent strategy to circumvent the exploding and vanishing gradient problem in RNNs, and to allow the stable propagation of signals over long time scales, is to constrain recurren…