SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 1151–1200 of 3304 papers

TitleStatusHype
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems—0
LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI—0
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches—0
Master's Thesis: Out-of-distribution Detection with Energy-based ModelsCode0
SparCA: Sparse Compressed Agglomeration for Feature Extraction and Dimensionality ReductionCode0
Automatic Debiased Estimation with Machine Learning-Generated Regressors—0
A predictive physics-aware hybrid reduced order model for reacting flows—0
Capacity Analysis of Vector Symbolic Architectures—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Online Kernel Sliced Inverse Regression—0
Information loss from dimensionality reduction in 5D-Gaussian spectral data—0
Using Topological Data Analysis to classify Encrypted Bits—0
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) dataCode0
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and CheckingCode0
Segmenting thalamic nuclei from manifold projections of multi-contrast MRI—0
Fair and skill-diverse student group formation via constrained k-way graph partitioning—0
Fair Recommendation by Geometric Interpretation and Analysis of Matrix Factorization—0
Topologically Regularized Data EmbeddingsCode0
EPR-Net: Constructing non-equilibrium potential landscape via a variational force projection formulationCode0
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis—0
KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study—0
ClusTop: An unsupervised and integrated text clustering and topic extraction framework—0
Unsupervised Acoustic Scene Mapping Based on Acoustic Features and Dimensionality Reduction—0
A Functional approach for Two Way Dimension Reduction in Time Series—0
Causal Deep Learning—0
Quantum Machine Learning Applied to the Classification of Diabetes—0
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis—0
Theoretical Guarantees for Sparse Principal Component Analysis based on the Elastic Net—0
Topological Data Analysis of Spatial Patterning in Heterogeneous Cell Populations: Clustering and Sorting with Varying Cell-Cell Adhesion—0
ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight ConditionsCode0
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment—0
Anticancer Peptides Classification using Kernel Sparse Representation ClassifierCode0
Prediction of Auto Insurance Risk Based on t-SNE Dimensionality Reduction—0
The Underlying Correlated Dynamics in Neural Training—0
Two-sample test based on Self-Organizing Maps—0
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs—0
Information retrieval in single cell chromatin analysis using TF-IDF transformation methods—0
SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing—0
Signal enhancement for two-dimensional cryo-EM data processingCode0
Shining light on data: Geometric data analysis through quantum dynamics—0
Spatio-Temporal Crop Aggregation for Video Representation Learning—0
DimenFix: A novel meta-dimensionality reduction method for feature preservation—0
Universal Feature Selection Tool (UniFeat): An Open-Source Tool for Dimensionality ReductionCode0
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking—0
Privacy-Preserving Federated Deep Clustering based on GAN—0
Compression supports low-dimensional representations of behavior across neural circuits—0
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations—0
Identifying Chemicals Through Dimensionality Reduction—0
Cross-Sectional Dynamics Under Network Structure: Theory and Macroeconomic Applications—0
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for ImagesCode0
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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