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 3226–3250 of 3304 papers

TitleStatusHype
Machine learning discovery of new phases in programmable quantum simulator snapshotsCode0
Topologically Regularized Data EmbeddingsCode0
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance MatricesCode0
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue OptimizationCode0
Active Learning for Manifold Gaussian Process RegressionCode0
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion RecognitionCode0
A Graphical Model for Fusing Diverse Microbiome DataCode0
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement LearningCode0
Topology-Preserving Dimensionality Reduction via Interleaving OptimizationCode0
GraphTSNE: A Visualization Technique for Graph-Structured DataCode0
GraphVite: A High-Performance CPU-GPU Hybrid System for Node EmbeddingCode0
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddingsCode0
Revisiting Bayesian Autoencoders with MCMCCode0
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layerCode0
Master's Thesis: Out-of-distribution Detection with Energy-based ModelsCode0
Manifold Denoising by Nonlinear Robust Principal Component AnalysisCode0
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies ReconstructionCode0
K-Deep Simplex: Deep Manifold Learning via Local DictionariesCode0
Grassmann Stein Variational Gradient DescentCode0
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General RelativityCode0
Lazy FSCA for Unsupervised Variable SelectionCode0
Bi-Sparse Unsupervised Feature SelectionCode0
GridDehazeNet: Attention-Based Multi-Scale Network for Image DehazingCode0
An Algorithm for Out-Of-Distribution Attack to Neural Network EncoderCode0
Manifold learning in metric spacesCode0
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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