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 651–675 of 3304 papers

TitleStatusHype
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring—0
RdimKD: Generic Distillation Paradigm by Dimensionality Reduction—0
Featurizing Koopman Mode Decomposition For Robust ForecastingCode0
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization—0
Federated Multilinear Principal Component Analysis with Applications in Prognostics—0
Speeding up astrochemical reaction networks with autoencoders and neural ODEsCode0
A quantitative fusion strategy of stock picking and timing based on Particle Swarm Optimized-Back Propagation Neural Network and Multivariate Gaussian-Hidden Markov Model—0
Economic Forecasts Using Many Noises—0
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood AnalysisCode0
A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion—0
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems—0
Interpretability Illusions in the Generalization of Simplified Models—0
Dimensionality Reduction and Dynamical Mode Recognition of Circular Arrays of Flame Oscillators Using Deep Neural Network—0
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees—0
Calibrating dimension reduction hyperparameters in the presence of noiseCode0
Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm—0
Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix—0
A ripple in time: a discontinuity in American historyCode0
Linear normalised hash function for clustering gene sequences and identifying reference sequences from multiple sequence alignments—0
Defining Reference Sequences for Nocardia Species by Similarity and Clustering Analyses of 16S rRNA Gene Sequence Data—0
Metric Space Magnitude for Evaluating the Diversity of Latent RepresentationsCode1
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using dMRI Tractography—0
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
Unsupervised Learning for Topological Classification of Transportation Networks—0
Show:102550
← PrevPage 27 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