SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 351–400 of 3304 papers

TitleStatusHype
A Convex formulation for linear discriminant analysis—0
Stabilization Analysis and Mode Recognition of Kerosene Supersonic Combustion: A Deep Learning Approach Based on Res-CNN-beta-VAE—0
Latent Space Representation of Electricity Market Curves for Improved Prediction Efficiency—0
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning TasksCode0
Cardiomyopathy Diagnosis Model from Endomyocardial Biopsy Specimens: Appropriate Feature Space and Class Boundary in Small Sample Size Data—0
Probing Latent Subspaces in LLM for AI Security: Identifying and Manipulating Adversarial States—0
Cover Learning for Large-Scale Topology Representation—0
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality ReductionCode0
A Novel Approach for Intrinsic Dimension Estimation—0
Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data—0
Preserving clusters and correlations: a dimensionality reduction method for exceptionally high global structure preservation—0
EigenGS Representation: From Eigenspace to Gaussian Image Space—0
Robust Multilinear Principal Component Analysis—0
DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI TractographyCode0
Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing—0
Matrix Factorization for Inferring Associations and Missing Links—0
Low Dimensional Dynamics of Globally Coupled Complex Riccati Equations: Exact Firing-rate Equations for Spiking Neurons with Clustered Substructure—0
Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained ModelCode0
Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks—0
Learning Stochastic Dynamical Systems with Structured Noise—0
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue OptimizationCode0
Inteval Analysis for two spherical functions arising from robust Perspective-n-Lines problem—0
Analysis of Evolving Cortical Neuronal Networks Using Visual Informatics—0
Tuning-Free Structured Sparse PCA via Deep Unfolding NetworksCode0
Beyond Worst-Case Dimensionality Reduction for Sparse Vectors—0
Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality ReductionCode0
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
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
Number Representations in LLMs: A Computational Parallel to Human PerceptionCode0
An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets—0
Fréchet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects—0
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
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
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
Random Forest Autoencoders for Guided Representation Learning—0
BOLIMES: Boruta and LIME optiMized fEature Selection for Gene Expression Classification—0
Lifespan tree of brain anatomy: diagnostic values for motor and cognitive neurodegenerative diseases—0
Data-Enabled Predictive Control for Flexible Spacecraft—0
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs—0
scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders—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