SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 211220 of 3304 papers

TitleStatusHype
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
Reduced operator inference for nonlinear partial differential equationsCode1
Remote sensing framework for geological mapping via stacked autoencoders and clusteringCode1
Renormalized Mutual Information for Artificial Scientific DiscoveryCode1
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration MethodCode1
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOMCode1
Sign Bits Are All You Need for Black-Box AttacksCode1
Linear Recursive Feature Machines provably recover low-rank matricesCode1
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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