SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2976–3000 of 3304 papers

TitleStatusHype
Continuum directions for supervised dimension reduction—0
Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models—0
Contrastive analysis for scatterplot-based representations of dimensionality reduction—0
Contrastive inverse regression for dimension reduction—0
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex—0
Contrastive Multivariate Singular Spectrum Analysis—0
Convergence rates of Kernel Conjugate Gradient for random design regression—0
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs—0
Convex Optimization Learning of Faithful Euclidean Distance Representations in Nonlinear Dimensionality Reduction—0
Convolutional Autoencoders for Reduced-Order Modeling—0
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial—0
Assessment of convolutional recurrent autoencoder network for learning wave propagation—0
Cooperative Thresholded Lasso for Sparse Linear Bandit—0
Cortical spatio-temporal dimensionality reduction for visual grouping—0
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data—0
Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs—0
Cost-informed dimensionality reduction for structural digital twin technologies—0
Coupled Control Systems: Periodic Orbit Generation with Application to Quadrupedal Locomotion—0
Coupling the reduced-order model and the generative model for an importance sampling estimator—0
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis—0
Covariance matrix preparation for quantum principal component analysis—0
Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications—0
Cover Learning for Large-Scale Topology Representation—0
Creation of a Deep Convolutional Auto-Encoder in Caffe—0
Credit Risk Assessment Model for UAE Commercial Banks: A Machine Learning Approach—0
Show:102550
← PrevPage 120 of 133Next →
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