2 citations · 3 across the 10 of their papers we have counts for
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cs.NE2020
Why should we add early exits to neural networks?
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli +1
Deep neural networks are generally designed as a stack of differentiable layers, in which a prediction is obtained only after running the full stack. Recently, some contributions h…
cs.LG2020
Adaptive Propagation Graph Convolutional Network
Indro Spinelli, Simone Scardapane, Aurelio Uncini
Graph convolutional networks (GCNs) are a family of neural network models that perform inference on graph data by interleaving vertex-wise operations and message-passing exchanges…