SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 7180 of 3304 papers

TitleStatusHype
Bayesian Optimization of Sampling Densities in MRICode1
BayesOpt Adversarial AttackCode1
Adversarial AutoencodersCode1
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
CBMAP: Clustering-based manifold approximation and projection for dimensionality reductionCode1
Clustering with UMAP: Why and How Connectivity MattersCode1
A hyperparameter-tuning approach to automated inverse planningCode1
The Signature Kernel is the solution of a Goursat PDECode1
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box ModelsCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
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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