SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2676–2700 of 3304 papers

TitleStatusHype
Deep Triphone Embedding Improves Phoneme Recognition—0
Learning Wasserstein EmbeddingsCode1
Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings—0
S-Isomap++: Multi Manifold Learning from Streaming Data—0
Fair Kernel Learning—0
Robust Maximum Likelihood Estimation of Sparse Vector Error Correction Model—0
VAMPnets: Deep learning of molecular kineticsCode0
Information-Theoretic Representation Learning for Positive-Unlabeled Classification—0
Dimensionality Reduction Ensembles—0
Regression-aware decompositions—0
Mechanisms of dimensionality reduction and decorrelation in deep neural networks—0
Sparse Exact PGA on Riemannian Manifolds—0
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning—0
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping—0
Influ\^encia de T\'ecnicas N\~ao-supervisionadas de Redu \~ao de Dimensionalidade para Organiza \~ao Flex\' de Documentos (The Unsupervised Dimensionality Reduction Weight on Flexible Document Organization)[In Portuguese]—0
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case—0
Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature SelectionCode0
Tensor-Based Classifiers for Hyperspectral Data Analysis—0
On Principal Components Regression, Random Projections, and Column Subsampling—0
Lazy stochastic principal component analysisCode0
Near Optimal Sketching of Low-Rank Tensor Regression—0
Bayesian nonparametric Principal Component Analysis—0
Representation Learning on Graphs: Methods and Applications—0
An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems—0
Transform Invariant Auto-encoder—0
Show:102550
← PrevPage 108 of 133Next →
All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified