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 151–200 of 3304 papers

TitleStatusHype
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering—0
Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture—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
Network Resource Optimization for ML-Based UAV Condition Monitoring with Vibration Analysis—0
A Supervised Screening and Regularized Factor-Based Method for Time Series Forecasting—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
scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders—0
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs—0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows—0
A Flag Decomposition for Hierarchical DatasetsCode0
Negative Dependence as a toolbox for machine learning : review and new developments—0
Study on Downlink CSI compression: Are Neural Networks the Only Solution?—0
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution—0
Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies—0
Geometric Machine Learning on EEG Signals—0
Finding Pegasus: Enhancing Unsupervised Anomaly Detection in High-Dimensional Data using a Manifold-Based Approach—0
Primary Care Diagnoses as a Reliable Predictor for Orthopedic Surgical Interventions—0
Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methodsCode0
Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds—0
Minimax-Optimal Dimension-Reduced Clustering for High-Dimensional Nonspherical Mixtures—0
Shuttle Between the Instructions and the Parameters of Large Language Models—0
Displacement-Sparse Neural Optimal Transport—0
Physically Interpretable Representation and Controlled Generation for Turbulence Data—0
Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality ReductionCode0
Principal Components for Neural Network InitializationCode0
A Hybrid Data-Driven Approach For Analyzing And Predicting Inpatient Length Of Stay In Health Centre—0
DeepFRC: An End-to-End Deep Learning Model for Functional Registration and ClassificationCode0
RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
Data-Efficient Machine Learning Potentials via Difference Vectors Based on Local Atomic Environments—0
Show:102550
← PrevPage 4 of 67Next →
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