SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 401450 of 3304 papers

TitleStatusHype
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot LayoutsCode0
A Statistical View of Column Subset SelectionCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
A Linearly Convergent Algorithm for Distributed Principal Component AnalysisCode0
Fisher and Kernel Fisher Discriminant Analysis: TutorialCode0
Dimension Reduction for Data with Heterogeneous MissingnessCode0
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
From deep learning to mechanistic understanding in neuroscience: the structure of retinal predictionCode0
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) ZeroCode0
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature RepresentationCode0
From Small to Large Language Models: Revisiting the Federalist PapersCode0
ALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value RegularizationCode0
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
ALPCAHUS: Subspace Clustering for Heteroscedastic DataCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Dimension Reduction and MARSCode0
Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observationsCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning ConventionsCode0
A Perturbation-Based Kernel Approximation FrameworkCode0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
A Graphical Model for Fusing Diverse Microbiome DataCode0
Graph Convolutional Networks Meet with High Dimensionality ReductionCode0
GraphVite: A High-Performance CPU-GPU Hybrid System for Node EmbeddingCode0
Grassmann Stein Variational Gradient DescentCode0
A Mathematical Formalization of Hierarchical Temporal Memory's Spatial PoolerCode0
Lazy FSCA for Unsupervised Variable SelectionCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Reducing the dimensionality of data using tempered distributionsCode0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly DetectionCode0
High Dimensional Bayesian Optimization via Supervised Dimension ReductionCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Anticancer Peptides Classification using Kernel Sparse Representation ClassifierCode0
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection ApproachCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies ReconstructionCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
A metric on directed graphs and Markov chains based on hitting probabilitiesCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Derivative-enhanced Deep Operator NetworkCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Deep Temporal Clustering: Fully unsupervised learning of time-domain featuresCode0
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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