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 1126–1150 of 3304 papers

TitleStatusHype
A novel approach for Fair Principal Component Analysis based on eigendecompositionCode0
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling—0
Convergent autoencoder approximation of low bending and low distortion manifold embeddingsCode0
MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails—0
A Graphical Model for Fusing Diverse Microbiome DataCode0
IAN: Iterated Adaptive Neighborhoods for manifold learning and dimensionality estimationCode1
Machine learning algorithms for three-dimensional mean-curvature computation in the level-set methodCode0
Collaborative causal inference on distributed data—0
On a Mechanism Framework of Autoencoders—0
HEFT: Homomorphically Encrypted Fusion of Biometric TemplatesCode1
Training-Time Attacks against k-Nearest Neighbors—0
May the force be with you—0
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification—0
Quantum artificial vision for defect detection in manufacturing—0
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network—0
Learning Interaction Variables and Kernels from Observations of Agent-Based Systems—0
Factor Network Autoregressions—0
Distributed Event-Triggered Nonlinear Fusion Estimation under Resource Constraints—0
EMC2A-Net: An Efficient Multibranch Cross-channel Attention Network for SAR Target Classification—0
Cluster Weighted Model Based on TSNE algorithm for High-Dimensional Data—0
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19Code0
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks—0
Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization—0
FastSVD-ML-ROM: A Reduced-Order Modeling Framework based on Machine Learning for Real-Time Applications—0
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling—0
Show:102550
← PrevPage 46 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