SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 15261550 of 3304 papers

TitleStatusHype
Non-PSD Matrix Sketching with Applications to Regression and Optimization0
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey0
ATD: Augmenting CP Tensor Decomposition by Self SupervisionCode1
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification0
Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery0
Computer-aided Interpretable Features for Leaf Image ClassificationCode0
HUMAP: Hierarchical Uniform Manifold Approximation and ProjectionCode1
Discovering Interpretable Machine Learning Models in Parallel Coordinates0
Improving Metric Dimensionality Reduction with Distributed TopologyCode1
Quantum diffusion map for nonlinear dimensionality reduction0
Distributionally Robust Optimization with Markovian DataCode0
Quantifying the Conceptual Error in Dimensionality Reduction0
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models0
Unsupervised Behaviour Discovery with Quality-Diversity OptimisationCode1
Large-scale optimal transport map estimation using projection pursuitCode1
Sirius: Visualization of Mixed Features as a Mutual Information Network GraphCode0
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reductionCode1
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical ProjectionsCode1
Evaluating Meta-Feature Selection for the Algorithm Recommendation ProblemCode0
Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments0
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey0
Shape-Preserving Dimensionality Reduction : An Algorithm and Measures of Topological Equivalence0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection0
A Discussion On the Validity of Manifold Learning0
Matrix factorisation and the interpretation of geodesic distanceCode0
Show:102550
← PrevPage 62 of 133Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified