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 1351–1375 of 3304 papers

TitleStatusHype
Machine learning discovery of new phases in programmable quantum simulator snapshotsCode0
Artificial Intelligence and Dimensionality Reduction: Tools for approaching future communications—0
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction—0
Funnels: Exact maximum likelihood with dimensionality reductionCode0
Robust factored principal component analysis for matrix-valued outlier accommodation and detection—0
Risk and optimal policies in bandit experiments—0
Triangle Attack: A Query-efficient Decision-based Adversarial AttackCode1
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay—0
A Cross Entropy test allows quantitative statistical comparison of t-SNE and UMAP representations—0
Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization—0
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning ModelsCode0
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design—0
Joint Characterization of the Cryospheric Spectral Feature Space—0
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximationCode1
Dimensionality Reduction for Categorical Data—0
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data—0
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor FactorizationCode1
Data-independent Low-complexity KLT Approximations for Image and Video Coding—0
Low-complexity Rounded KLT Approximation for Image Compression—0
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey—0
Dimension Reduction with Prior Information for Knowledge DiscoveryCode0
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian InferenceCode0
An Attack on Facial Soft-biometric Privacy Enhancement—0
Machine Learning Based Forward Solver: An Automatic Framework in gprMaxCode0
The Diversity Metrics of Sub-models based on SVD of Jacobians for Ensembles Adversarial Robustness—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