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 51–75 of 3304 papers

TitleStatusHype
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionCode1
DefakeHop: A Light-Weight High-Performance Deepfake DetectorCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Diagnosing and Fixing Manifold Overfitting in Deep Generative ModelsCode1
Dimension Reduction for Efficient Dense Retrieval via Conditional AutoencoderCode1
Clustering with UMAP: Why and How Connectivity MattersCode1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
Distributional Principal AutoencodersCode1
DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation for Unspervised Dimensionality ReductionCode1
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningCode1
Autoencoding with a Classifier SystemCode1
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximationsCode1
ATD: Augmenting CP Tensor Decomposition by Self SupervisionCode1
On Path Integration of Grid Cells: Group Representation and Isotropic ScalingCode1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction ModelsCode1
A New Basis for Sparse Principal Component AnalysisCode1
Approximating Likelihood Ratios with Calibrated Discriminative ClassifiersCode1
A Spectral Method for Assessing and Combining Multiple Data VisualizationsCode1
A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiologyCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
An efficient aggregation method for the symbolic representation of temporal dataCode1
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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