SOTAVerified

Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

Showing 25912600 of 3304 papers

TitleStatusHype
Learning Integral Representations of Gaussian ProcessesCode0
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes0
First-order bifurcation detection for dynamic complex networks0
Unsupervised vehicle recognition using incremental reseeding of acoustic signatures0
Out-of-sample extension of graph adjacency spectral embedding0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
Shamap: Shape-based Manifold Learning0
Natural data structure extracted from neighborhood-similarity graphs0
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) ZeroCode0
A Diffusion Approximation Theory of Momentum SGD in Nonconvex Optimization0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified