SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 17211730 of 3304 papers

TitleStatusHype
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and ClassificationCode0
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Stochastic Approximation for Online Tensorial Independent Component Analysis0
Manifold learning with arbitrary normsCode0
A method to integrate and classify normal distributionsCode0
Unsupervised Functional Data Analysis via Nonlinear Dimension ReductionCode0
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement LearningCode0
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks0
Upper and Lower Bounds on the Performance of Kernel PCA0
Instance Space Analysis for the Car Sequencing Problem0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified