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 851–875 of 3304 papers

TitleStatusHype
Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula—0
On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities—0
A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction—0
Differentially private sliced inverse regression in the federated paradigm—0
PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data AnalysisCode0
Multiscale Flow for Robust and Optimal Cosmological Analysis—0
Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder—0
Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models—0
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving—0
Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization—0
ShaRP: Shape-Regularized Multidimensional ProjectionsCode0
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization—0
Label Embedding via Low-Coherence Matrices—0
Dictionary Learning under Symmetries via Group Representations—0
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality ReductionCode0
Dimensionality Reduction for General KDE Mode Finding—0
Cooperative Thresholded Lasso for Sparse Linear Bandit—0
Parallel Coordinates for Discovery of Interpretable Machine Learning Models—0
On the Noise Sensitivity of the Randomized SVDCode0
Classic machine learning methods—0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
Efficient Multi-Scale Attention Module with Cross-Spatial LearningCode2
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variabilityCode0
Decentralized Equalization for Massive MIMO Systems With Colored Noise Samples—0
RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations—0
Show:102550
← PrevPage 35 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