SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 1401–1425 of 3304 papers

TitleStatusHype
Efficiently Computing Similarities to Private Datasets—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
Efficient Learning and Planning with Compressed Predictive States—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
Bridging Fairness and Environmental Sustainability in Natural Language Processing—0
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability—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
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees—0
Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease—0
Efficient Large-Scale Similarity Search Using Matrix Factorization—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