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 51–75 of 3304 papers

TitleStatusHype
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequencesCode1
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor FactorizationCode1
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid SimulationsCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
An Additive Autoencoder for Dimension EstimationCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterpartsCode1
Distributed Out-of-Memory NMF on CPU/GPU ArchitecturesCode1
catch22: CAnonical Time-series CHaracteristicsCode1
A New Basis for Sparse Principal Component AnalysisCode1
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningCode1
An Embedding is Worth a Thousand Noisy LabelsCode1
CatBoost: gradient boosting with categorical features supportCode1
CBMAP: Clustering-based manifold approximation and projection for dimensionality reductionCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
Clustering with UMAP: Why and How Connectivity MattersCode1
ATD: Augmenting CP Tensor Decomposition by Self SupervisionCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Adversarial AutoencodersCode1
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximationsCode1
Bayesian Optimization of Sampling Densities in MRICode1
BayesOpt Adversarial AttackCode1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
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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