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Dimensionality Reduction

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

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Papers

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Showing 2851–2900 of 3304 papers

TitleStatusHype
Uniform-in-Phase-Space Data Selection with Iterative Normalizing FlowsCode0
Efficiently Visualizing Large GraphsCode0
Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity PricesCode0
Efficient Manifold and Subspace Approximations with SphereletsCode0
Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis SystemsCode0
Deep Linear Discriminant AnalysisCode0
The neighborhood lattice for encoding partial correlations in a Hilbert spaceCode0
Interactive Latent Interpolation on MNIST DatasetCode0
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient DescentCode0
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance AnalysisCode0
Efficient Outlier Removal in Large Scale Global Structure-from-MotionCode0
GP-VAE: Deep Probabilistic Time Series ImputationCode0
Intrinsic statistical separation of subpopulations in heterogeneous collective motion via dimensionality reductionCode0
Selecting Robust Features for Machine Learning Applications using Multidata Causal DiscoveryCode0
Efficient Solution of Portfolio Optimization Problems via Dimension Reduction and SparsificationCode0
Interpretable and Compositional Relation Learning by Joint Training with an AutoencoderCode0
The optimal resolution level of a protein is an emergent property of its structure and dynamicsCode0
Multi-view Data Visualisation via Manifold LearningCode0
Interpretable dimensionality reduction using weighted linear transformationCode0
Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property PredictionCode0
Interpretable Embeddings From Molecular Simulations Using Gaussian Mixture Variational AutoencodersCode0
A primer on correlation-based dimension reduction methods for multi-omics analysisCode0
Probabilistic Data Analysis with Probabilistic ProgrammingCode0
Interpretable non-linear dimensionality reduction using gaussian weighted linear transformationCode0
Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative ValuesCode0
Ellipsoid fitting with the Cayley transformCode0
Interpretable Visualization and Higher-Order Dimension Reduction for ECoG DataCode0
Self Organizing Nebulous Growths for Robust and Incremental Data VisualizationCode0
A method to integrate and classify normal distributionsCode0
Interpreting LSTM Prediction on Solar Flare Eruption with Time-series ClusteringCode0
ClusterGraph: a new tool for visualization and compression of multidimensional dataCode0
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record DataCode0
ENS-t-SNE: Embedding Neighborhoods Simultaneously t-SNECode0
Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental AnalysisCode0
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsCode0
Introducing user-prescribed constraints in Markov chains for nonlinear dimensionality reductionCode0
Introduction to Facial Micro Expressions Analysis Using Color and Depth Images: A Matlab Coding Approach (Second Edition, 2023)Code0
Inverse Kernel DecompositionCode0
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and DimensionalityCode0
Empirical likelihood approach for high-dimensional moment restrictions with dependent dataCode0
Mycorrhiza: Genotype Assignment usingPhylogenetic NetworksCode0
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional RegressionCode0
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning ModelsCode0
Invertible Manifold Learning for Dimension ReductionCode0
A Clustering Framework for Residential Electric Demand ProfilesCode0
Enabling stratified sampling in high dimensions via nonlinear dimensionality reductionCode0
Accelerated Stochastic Power IterationCode0
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction AttackCode0
Investigating Shallow and Deep Learning Techniques for Emotion Classification in Short Persian TextsCode0
Enhanced Expressive Power and Fast Training of Neural Networks by Random ProjectionsCode0
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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