SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 29012925 of 3304 papers

TitleStatusHype
Deep Learning with Nonparametric ClusteringCode0
Wassmap: Wasserstein Isometric Mapping for Image Manifold LearningCode0
Universal Feature Selection Tool (UniFeat): An Open-Source Tool for Dimensionality ReductionCode0
Enhancing Affinity Propagation for Improved Public Sentiment InsightsCode0
Enhancing Dimension-Reduced Scatter Plots with Class and Feature CentroidsCode0
Bayesian calibration of stochastic agent based model via random forestCode0
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating TheoremCode0
Self-Taught Convolutional Neural Networks for Short Text ClusteringCode0
Product Manifold LearningCode0
ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight ConditionsCode0
Beyond the Nucleus: Cytoplasmic Dominance in Follicular Thyroid Carcinoma Detection Using Single-Cell Raman Imaging Across Multiple DevicesCode0
Semantic Relatedness Based Re-ranker for Text SpottingCode0
Enhancing Sufficient Dimension Reduction via Hellinger CorrelationCode0
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image RetrievalCode0
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative FactorsCode0
Visualizing DNA reaction trajectories with deep graph embedding approachesCode0
Cluster Exploration using Informative Manifold ProjectionsCode0
Backprojection for Training Feedforward Neural Networks in the Input and Feature SpacesCode0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemmaCode0
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarityCode0
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoderCode0
Entropic Wasserstein Component AnalysisCode0
Nested Grassmannians for Dimensionality Reduction with ApplicationsCode0
EPR-Net: Constructing non-equilibrium potential landscape via a variational force projection formulationCode0
Deep learning to discover and predict dynamics on an inertial manifoldCode0
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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