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Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 151–175 of 3304 papers

TitleStatusHype
An Embedding is Worth a Thousand Noisy LabelsCode1
An efficient aggregation method for the symbolic representation of temporal dataCode1
A New Basis for Sparse Principal Component AnalysisCode1
Explaining dimensionality reduction results using Shapley valuesCode1
Fast conformational clustering of extensive molecular dynamics simulation dataCode1
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction ModelsCode1
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
Deep active subspaces - a scalable method for high-dimensional uncertainty propagationCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
A Primer on the Signature Method in Machine LearningCode1
Curvature-based Feature Selection with Application in Classifying Electronic Health RecordsCode1
Generative locally linear embedding: A module for manifold unfolding and visualizationCode1
DartMinHash: Fast Sketching for Weighted SetsCode1
Going Beyond T-SNE: Exposing whatlies in Text EmbeddingsCode1
A Spectral Method for Assessing and Combining Multiple Data VisualizationsCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brainCode1
A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiologyCode1
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box ModelsCode1
DefakeHop: A Light-Weight High-Performance Deepfake DetectorCode1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
Autoencoding with a Classifier SystemCode1
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical ProjectionsCode1
DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterpartsCode1
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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