SOTAVerified

Dimensionality Reduction

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

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Papers

Showing 18911900 of 3304 papers

TitleStatusHype
In search of the weirdest galaxies in the UniverseCode0
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance ComputingCode2
Numerical simulation, clustering and prediction of multi-component polymer precipitationCode0
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating TheoremCode0
Contrastive Multiple Correspondence Analysis (cMCA): Using Contrastive Learning to Identify Latent Subgroups in Political PartiesCode0
Attention or memory? Neurointerpretable agents in space and time0
Linear Tensor Projection Revealing Nonlinearity0
Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes dataCode1
Manifold Learning via Manifold Deflation0
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology PatchesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified