SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 351375 of 3304 papers

TitleStatusHype
Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG-Based BCIsCode0
Active Learning for Manifold Gaussian Process RegressionCode0
Dimension Reduction and MARSCode0
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient DescentCode0
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality ReductionCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot LayoutsCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Derivative-enhanced Deep Operator NetworkCode0
A journey in ESN and LSTM visualisations on a language taskCode0
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition ManifoldsCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
A Perturbation-Based Kernel Approximation FrameworkCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified