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Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings.
Justin Dieter
Arun Tejasvi Chaganty
Published in:
CoRR (2020)
Keyphrases
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riemannian manifolds
euclidean space
vector space
manifold learning
low dimensional
shape analysis
metric space
geodesic distance
euclidean distance
multi class classification
distance measure
mean shift
data points
covariance matrices
feature space
high dimensional
special case
feature vectors