SOTAVerified

Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1651–1675 of 3304 papers

TitleStatusHype
Quantization Algorithms for Random Fourier Features—0
t-SNE, Forceful Colorings and Mean Field Limits—0
Learning-Augmented Sketches for Hessians—0
Theoretical Understandings of Product Embedding for E-commerce Machine Learning—0
Multi-Space Evolutionary Search for Large-Scale Optimization—0
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized AutoencodersCode0
A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution—0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
Joint Characterization of Multiscale Information in High Dimensional Data—0
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation—0
Random Projections for Improved Adversarial Robustness—0
DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning—0
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoderCode0
Unsupervised Ground Metric Learning using Wasserstein Singular VectorsCode1
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)—0
Communication-efficient k-Means for Edge-based Machine Learning—0
RaSE: A Variable Screening Framework via Random Subspace EnsemblesCode0
Direction and Constraint in Phenotypic Evolution: Dimension Reduction and Global Proportionality in Phenotype Fluctuation and Responses—0
Robust Principal Component Analysis: A Median of Means Approach—0
Matrix Decomposition on Graphs: A Functional View—0
OmiEmbed: a unified multi-task deep learning framework for multi-omics dataCode1
Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing—0
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring—0
[Re] Explaining Groups of Points in Low-Dimensional RepresentationsCode0
Exploring the Geometry and Topology of Neural Network Loss Landscapes—0
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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