SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 176200 of 3304 papers

TitleStatusHype
Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size DataCode1
HEFT: Homomorphically Encrypted Fusion of Biometric TemplatesCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
An Embedding is Worth a Thousand Noisy LabelsCode1
An efficient aggregation method for the symbolic representation of temporal dataCode1
ActUp: Analyzing and Consolidating tSNE and UMAPCode1
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image GenerationCode1
Improving Metric Dimensionality Reduction with Distributed TopologyCode1
Improving the HardNet DescriptorCode1
A New Basis for Sparse Principal Component AnalysisCode1
Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality ReductionCode1
An Additive Autoencoder for Dimension EstimationCode1
Latent Autoregressive Source SeparationCode1
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithmsCode1
ATD: Augmenting CP Tensor Decomposition by Self SupervisionCode1
Less is more: Faster and better music version identification with embedding distillationCode1
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximationCode1
Linear Recursive Feature Machines provably recover low-rank matricesCode1
Locally Linear Embedding and its Variants: Tutorial and SurveyCode1
Markov-Lipschitz Deep LearningCode1
Metric Space Magnitude for Evaluating the Diversity of Latent RepresentationsCode1
Minimum-Distortion EmbeddingCode1
Modern Dimension ReductionCode1
The Signature Kernel is the solution of a Goursat PDECode1
Distributional Principal AutoencodersCode1
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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