SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 371380 of 3304 papers

TitleStatusHype
A journey in ESN and LSTM visualisations on a language taskCode0
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition ManifoldsCode0
Effective Dimensionality Reduction for Word EmbeddingsCode0
A Quotient Space Formulation for Generative Statistical Analysis of Graphical DataCode0
Accelerated Stochastic Power IterationCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis SystemsCode0
Manifold Coordinates with Physical MeaningCode0
A Perturbation-Based Kernel Approximation FrameworkCode0
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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