SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 2291–2300 of 3304 papers

TitleStatusHype
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images—0
Transfer Representation Learning with TSK Fuzzy System—0
Unsupervised Transfer Learning for Anomaly Detection: Application to Complementary Operating Condition Transfer—0
Transformation Based Deep Anomaly Detection in Astronomical Images—0
Transformer-based dimensionality reduction—0
Transform Invariant Auto-encoder—0
Transform Quantization for CNN (Convolutional Neural Network) Compression—0
TransG : A Generative Model for Knowledge Graph Embedding—0
TRAPACC and TRAPACCS at PARSEME Shared Task 2018: Neural Transition Tagging of Verbal Multiword Expressions—0
Traversing the Subspace of Adversarial Patches—0
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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