SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 226250 of 3304 papers

TitleStatusHype
Transform Once: Efficient Operator Learning in Frequency DomainCode1
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionCode1
t-viSNE: Interactive Assessment and Interpretation of t-SNE ProjectionsCode1
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
Dimension Reduction for Data with Heterogeneous MissingnessCode0
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion RecognitionCode0
Reducing the dimensionality of data using tempered distributionsCode0
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
An Algorithm for Out-Of-Distribution Attack to Neural Network EncoderCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
A Clustering Framework for Residential Electric Demand ProfilesCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Intrinsic statistical separation of subpopulations in heterogeneous collective motion via dimensionality reductionCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Dimension Reduction and MARSCode0
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognitionCode0
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in PipesCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
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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