SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 1181–1190 of 3304 papers

TitleStatusHype
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks—0
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings—0
Evaluation of company investment value based on machine learning—0
Evaluation of distance-based approaches for forensic comparison: Application to hand odor evidence—0
Evaluation Of Hidden Markov Models Using Deep CNN Features In Isolated Sign Recognition—0
Evaluation of PPG Biometrics for Authentication in different states—0
Event detection in Colombian security Twitter news using fine-grained latent topic analysis—0
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems—0
Broadcast Product: Shape-aligned Element-wise Multiplication and Beyond—0
Exploring the Deep Feature Space of a Cell Classification Neural Network—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