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
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction—0
Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales—0
Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reductionCode0
Autonomous Collaborative Scheduling of Time-dependent UAVs, Workers and Vehicles for Crowdsensing in Disaster Response—0
Quantum Cognition Machine Learning for Forecasting Chromosomal Instability—0
Learning Treatment Representations for Downstream Instrumental Variable Regression—0
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures—0
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement LearningCode0
Localizing Persona Representations in LLMs—0
Bayesian Data Sketching for Varying Coefficient Regression Models—0
Riemannian Principal Component Analysis—0
A DNA Methylation Classification Model Predicts Organ and Disease Site—0
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis—0
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs—0
ALPCAHUS: Subspace Clustering for Heteroscedastic DataCode0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Exponential Convergence of CAVI for Bayesian PCA—0
Fourier-Invertible Neural Encoder (FINE) for Homogeneous Flows—0
NOMAD Projection—0
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal EmbeddingsCode0
FlowBERT: Prompt-tuned BERT for variable flow field prediction—0
InstanceBEV: Unifying Instance and BEV Representation for Global Modeling—0
A Hybrid Quantum Classical Pipeline for X Ray Based Fracture Diagnosis—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
Threshold Strategy for Leaking Corner-Free Hamilton-Jacobi Reachability with Decomposed Computations—0
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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