SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 1426–1450 of 3304 papers

TitleStatusHype
Geometric Machine Learning on EEG Signals—0
Geometry and dimensionality reduction of feature spaces in primary visual cortex—0
Geometry-Aware Hamiltonian Variational Auto-Encoder—0
Geometry of Deep Learning for Magnetic Resonance Fingerprinting—0
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability—0
Efficient Large-Scale Similarity Search Using Matrix Factorization—0
Bridging Dense and Sparse Maximum Inner Product Search—0
G-invariant diffusion maps—0
GleanVec: Accelerating vector search with minimalist nonlinear dimensionality reduction—0
Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics—0
Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies—0
Global explainability of a deep abstaining classifier—0
Global Sensitivity Analysis of High Dimensional Neuroscience Models: An Example of Neurovascular Coupling—0
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks—0
An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection—0
Going Beyond T-SNE: Exposing whatlies in Text Embeddings—0
Golden Ratio-Based Sufficient Dimension Reduction—0
Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for Subjectivity Detection in News Articles—0
Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women—0
Graceful Forgetting II. Data as a Process—0
Gradient-based kernel method for feature extraction and variable selection—0
Efficient L1-Norm Principal-Component Analysis via Bit Flipping—0
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction—0
Gradient-Free Textual Inversion—0
Efficient GPU implementation of randomized SVD and its applications—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