ResearchTrend.AI
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations

Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations

Alberto Marchisio
Beatrice Bussolino
Edoardo Salvati
Maurizio Martina
Guido Masera
Mohamed Bennai
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations"

1 / 1 papers shown
Title
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks
Ranggi Hwang
M. Kang
Jiwon Lee
D. Kam
Youngjoo Lee
Minsoo Rhu
GNN
49
25
0
01 Mar 2022