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 251–275 of 3304 papers

TitleStatusHype
Nested Diffusion Models Using Hierarchical Latent Priors—0
A Dataset Similarity Evaluation Framework for Wireless Communications and Sensing—0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction—0
Traversing the Subspace of Adversarial Patches—0
Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders—0
Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy—0
Deep Learning for GWP Prediction: A Framework Using PCA, Quantile Transformation, and Ensemble Modeling—0
Autoencoder Enhanced Realised GARCH on Volatility Forecasting—0
Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI—0
HiCat: A Semi-Supervised Approach for Cell Type Annotation—0
Navigating the Effect of Parametrization for Dimensionality ReductionCode1
Circuit design in biology and machine learning. II. Anomaly detection—0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting—0
K-means Derived Unsupervised Feature Selection using Improved ADMM—0
Hierarchical Trait-State Model for Decoding Dyadic Social Interactions—0
Exploring the Manifold of Neural Networks Using Diffusion Geometry—0
Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures—0
Feature Selection for Network Intrusion Detection—0
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting—0
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear FormsCode0
Towards a Fairer Non-negative Matrix Factorization—0
AstroM^3: A self-supervised multimodal model for astronomy—0
Expected Information Gain Estimation via Density Approximations: Sample Allocation and Dimension Reduction—0
White-Box Diffusion Transformer for single-cell RNA-seq generationCode0
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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