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Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces.
Tao Li
Lei Tan
Zhehao Huang
Qinghua Tao
Yipeng Liu
Xiaolin Huang
Published in:
IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
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low dimensional
high dimensional
high dimensional data
dimensionality reduction
linear subspace
principal component analysis
lower dimensional
data points
manifold learning
dimension reduction
feature space
euclidean space
nonlinear dimensionality reduction
input space
high dimensional data space
multidimensional scaling
manifold structure
subspace learning
training set
multilayer perceptron
locally linear embedding
image processing
clustering algorithm
linear dimensionality reduction