Capsule networks with dynamic routing are shown to be equivalent to a routing-weighted product of expert neurons, supporting a bottom-up unsupervised learning algorithm via alternating routing and contrastive divergence.
Gradient- based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 1998
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Training capsules as a routing-weighted product of expert neurons
Capsule networks with dynamic routing are shown to be equivalent to a routing-weighted product of expert neurons, supporting a bottom-up unsupervised learning algorithm via alternating routing and contrastive divergence.