SOTAVerified

Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1450 of 3304 papers

TitleStatusHype
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders—0
Generalized notions of sparsity and restricted isometry property. Part I: A unified framework—0
Cortical spatio-temporal dimensionality reduction for visual grouping—0
Generalized Principal Component Analysis—0
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data—0
Supervised tensor decomposition with features on multiple modes—0
Generalized two-dimensional linear discriminant analysis with regularization—0
Generative adversarial learning with optimal input dimension and its adaptive generator architecture—0
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey—0
Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-End Speaker Verification—0
HiCat: A Semi-Supervised Approach for Cell Type Annotation—0
Efficiently Computing Similarities to Private Datasets—0
Generative Local Metric Learning for Nearest Neighbor Classification—0
Generative Modeling: A Review—0
Generative Modeling for Atmospheric Convection—0
Generative Models for Anomaly Detection and Design-Space Dimensionality Reduction in Shape Optimization—0
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting—0
GENHOP: An Image Generation Method Based on Successive Subspace Learning—0
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis—0
Genomics Data Analysis via Spectral Shape and Topology—0
GenURL: A General Framework for Unsupervised Representation Learning—0
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds—0
Efficient Learning and Planning with Compressed Predictive States—0
Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease—0
Bridging Fairness and Environmental Sustainability in Natural Language Processing—0
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