SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 701725 of 3304 papers

TitleStatusHype
Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methodsCode0
Learning Low-Level Causal Relations using a Simulated Robotic ArmCode0
Bubblewrap: Online tiling and real-time flow prediction on neural manifoldsCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG-Based BCIsCode0
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity AnalysisCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
A comparison of correspondence analysis with PMI-based word embedding methodsCode0
Linear Dimensionality Reduction: Survey, Insights, and GeneralizationsCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstructionCode0
Long-term Conversation Analysis: Exploring Utility and PrivacyCode0
Effective Dimensionality Reduction for Word EmbeddingsCode0
Machine learning algorithms for three-dimensional mean-curvature computation in the level-set methodCode0
Approximate Bayesian Computation with Domain Expert in the LoopCode0
Machine learning discovery of new phases in programmable quantum simulator snapshotsCode0
Derivative-enhanced Deep Operator NetworkCode0
Adversarial Robustness of VAEs across Intersectional SubgroupsCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Curvature Augmented Manifold Embedding and LearningCode0
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clusteringCode0
Show:102550
← PrevPage 29 of 133Next →

Benchmark Results

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