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 2451–2460 of 3304 papers

TitleStatusHype
Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder—0
YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network—0
You are out of context!—0
You can monitor your hydration level using your smartphone camera—0
Zero-Shot Feature Selection via Transferring Supervised Knowledge—0
Sufficient dimension reduction for feature matrices—0
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction—0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras—0
Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices—0
Visualization of AE's Training on Credit Card Transactions with Persistent Homology—0
Show:102550
← PrevPage 246 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