SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 251–300 of 3304 papers

TitleStatusHype
Enabling stratified sampling in high dimensions via nonlinear dimensionality reductionCode0
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
Learning Treatment Representations for Downstream Instrumental Variable Regression—0
Quantum Cognition Machine Learning for Forecasting Chromosomal Instability—0
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement LearningCode0
Riemannian Principal Component Analysis—0
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures—0
Bayesian Data Sketching for Varying Coefficient Regression Models—0
A DNA Methylation Classification Model Predicts Organ and Disease Site—0
Localizing Persona Representations in LLMs—0
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs—0
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis—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
NOMAD Projection—0
Fourier-Invertible Neural Encoder (FINE) for Homogeneous Flows—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
VizCV: AI-assisted visualization of researchers' publications tracks—0
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic DataCode0
Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian GeometryCode0
TSLFormer: A Lightweight Transformer Model for Turkish Sign Language Recognition Using Skeletal Landmarks—0
Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in ChildrenCode0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Deep Diffusion MapsCode0
Latent Manifold Reconstruction and Representation with Topological and Geometrical RegularizationCode0
Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class PredictionCode0
Bayesian full waveform inversion with sequential surrogate model refinement—0
A probabilistic view on Riemannian machine learning models for SPD matrices—0
Improved Dimensionality Reduction for Inverse Problems in Nuclear Fusion and High-Energy Astrophysics—0
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing—0
From Players to Champions: A Generalizable Machine Learning Approach for Match Outcome Prediction with Insights from the FIFA World Cup—0
Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces—0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Optimization of embeddings storage for RAG systems using quantization and dimensionality reduction techniques—0
GiBy: A Giant-Step Baby-Step Classifier For Anomaly Detection In Industrial Control Systems—0
A Novel Parameter-Tying Theorem in Multi-Model Adaptive Systems: Systematic Approach for Efficient Model Selection—0
Subject-independent Classification of Meditative State from the Resting State using EEG—0
A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography—0
Unsupervised outlier detection to improve bird audio dataset labels—0
Interpretable non-linear dimensionality reduction using gaussian weighted linear transformationCode0
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling—0
An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm—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