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 1961–1970 of 3304 papers

TitleStatusHype
A cognitive based Intrusion detection system—0
Transformation Based Deep Anomaly Detection in Astronomical Images—0
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach—0
Exchangeability, Conformal Prediction, and Rank Tests—0
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering—0
Solving Large-Scale Sparse PCA to Certifiable (Near) OptimalityCode0
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case StudyCode0
Low-Rank Nonlinear Decoding of μ-ECoG from the Primary Auditory Cortex—0
Show:102550
← PrevPage 197 of 331Next →
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