SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 751775 of 3304 papers

TitleStatusHype
A Quotient Space Formulation for Generative Statistical Analysis of Graphical DataCode0
Decentralized State Estimation In A Dimension-Reduced Linear RegressionCode0
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental DataCode0
Accelerated Stochastic Power IterationCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopyCode0
On genetic programming representations and fitness functions for interpretable dimensionality reductionCode0
Manifold Coordinates with Physical MeaningCode0
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline TimepointCode0
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical PhenomenaCode0
On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problemsCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly DetectionCode0
ARES: Locally Adaptive Reconstruction-based Anomaly ScoringCode0
Deep Continuous ClusteringCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Derivative-enhanced Deep Operator NetworkCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
Adversarial Canonical Correlation AnalysisCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Deep Embedded SOM: Joint Representation Learning and Self-OrganizationCode0
A ripple in time: a discontinuity in American historyCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
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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