Domain adaptation methods reduce domain shift typically by learning
doma...
Graph matching finds the correspondence of nodes across two correlated g...
Optimal transport (OT) naturally arises in a wide range of machine learn...
Graph matching finds the correspondence of nodes across two graphs and i...
Domain adaptation (DA) aims to transfer discriminative features learned ...
In this paper, we focus on solving a class of constrained non-convex
non...
Domain adaptation is an important technique to alleviate performance
deg...
Unsupervised domain adaptation methods aim to alleviate performance
degr...
A Spiking Neural Network (SNN) can be trained indirectly by first traini...