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 151–175 of 3304 papers

TitleStatusHype
Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture—0
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering—0
Beyond Worst-Case Dimensionality Reduction for Sparse Vectors—0
Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality ReductionCode0
BEYONDWORDS is All You Need: Agentic Generative AI based Social Media Themes Extractor—0
Empirical likelihood approach for high-dimensional moment restrictions with dependent dataCode0
From Small to Large Language Models: Revisiting the Federalist PapersCode0
Achieving Fair PCA Using Joint Eigenvalue Decomposition—0
Rewards-based image analysis in microscopy—0
An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets—0
Number Representations in LLMs: A Computational Parallel to Human PerceptionCode0
ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact—0
A Supervised Screening and Regularized Factor-Based Method for Time Series Forecasting—0
Network Resource Optimization for ML-Based UAV Condition Monitoring with Vibration Analysis—0
Fréchet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects—0
Challenges of Multi-Modal Coreset Selection for Depth PredictionCode0
Disentangled Latent Spaces for Reduced Order Models using Deterministic Autoencoders—0
A Neural Operator-Based Emulator for Regional Shallow Water Dynamics—0
Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions—0
BOLIMES: Boruta and LIME optiMized fEature Selection for Gene Expression Classification—0
Random Forest Autoencoders for Guided Representation Learning—0
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
Reduced Order Modeling with Shallow Recurrent Decoder NetworksCode1
Lifespan tree of brain anatomy: diagnostic values for motor and cognitive neurodegenerative diseases—0
Data-Enabled Predictive Control for Flexible Spacecraft—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