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 476–500 of 3304 papers

TitleStatusHype
Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders—0
Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy—0
Deep Learning for GWP Prediction: A Framework Using PCA, Quantile Transformation, and Ensemble Modeling—0
Autoencoder Enhanced Realised GARCH on Volatility Forecasting—0
HiCat: A Semi-Supervised Approach for Cell Type Annotation—0
Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI—0
Circuit design in biology and machine learning. II. Anomaly detection—0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting—0
Exploring the Manifold of Neural Networks Using Diffusion Geometry—0
Hierarchical Trait-State Model for Decoding Dyadic Social Interactions—0
Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures—0
K-means Derived Unsupervised Feature Selection using Improved ADMM—0
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting—0
Feature Selection for Network Intrusion Detection—0
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear FormsCode0
Towards a Fairer Non-negative Matrix Factorization—0
AstroM^3: A self-supervised multimodal model for astronomy—0
Expected Information Gain Estimation via Density Approximations: Sample Allocation and Dimension Reduction—0
White-Box Diffusion Transformer for single-cell RNA-seq generationCode0
ClusterGraph: a new tool for visualization and compression of multidimensional dataCode0
Firm Heterogeneity and Macroeconomic Fluctuations: a Functional VAR model—0
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach—0
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution DataCode0
Theoretically informed selection of latent activation in autoencoder based recommender systems—0
Interpretable and Efficient Data-driven Discovery and Control of Distributed Systems—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