SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 751800 of 3304 papers

TitleStatusHype
A Quotient Space Formulation for Generative Statistical Analysis of Graphical DataCode0
Decentralized State Estimation In A Dimension-Reduced Linear RegressionCode0
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental DataCode0
Accelerated Stochastic Power IterationCode0
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical PhenomenaCode0
On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problemsCode0
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopyCode0
On the Estimation of Entropy in the FastICA AlgorithmCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Dimension Reduction and MARSCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
Optimal High-order Tensor SVD via Tensor-Train Orthogonal IterationCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly DetectionCode0
ARES: Locally Adaptive Reconstruction-based Anomaly ScoringCode0
Deep Continuous ClusteringCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Deep Diffusion MapsCode0
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline TimepointCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
A ripple in time: a discontinuity in American historyCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Deep Feature Selection using a Teacher-Student NetworkCode0
PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data AnalysisCode0
DeepFRC: An End-to-End Deep Learning Model for Functional Registration and ClassificationCode0
Practical Hash Functions for Similarity Estimation and Dimensionality ReductionCode0
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing DataCode0
Deep generative LDACode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Principal Components for Neural Network InitializationCode0
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured SystemsCode0
Adversarial Canonical Correlation AnalysisCode0
Principal Orthogonal Latent Components Analysis (POLCA Net)Code0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight ConditionsCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Bi-Sparse Unsupervised Feature SelectionCode0
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement LearningCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
BinGAN: Learning Compact Binary Descriptors with a Regularized GANCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reductionCode0
Quantum algorithms for SVD-based data representation and analysisCode0
Degradation Modeling and Prognostic Analysis Under Unknown Failure ModesCode0
Derivative-enhanced Deep Operator NetworkCode0
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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