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 911–920 of 3304 papers

TitleStatusHype
Efficiently Visualizing Large GraphsCode0
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder—0
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations—0
Electrical Grid Anomaly Detection via Tensor Decomposition—0
Accelerating Vision Transformers Based on Heterogeneous Attention Patterns—0
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification—0
Jaeger: A Concatenation-Based Multi-Transformer VQA Model—0
Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy—0
Hybrid Quantum-Classical Machine Learning for Sentiment Analysis—0
Risk factor aggregation and stress testing—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