SOTAVerified

Dimensionality Reduction

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

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Papers

Showing 301350 of 3304 papers

TitleStatusHype
Empirical likelihood approach for high-dimensional moment restrictions with dependent dataCode0
Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-Set MethodCode0
ALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value RegularizationCode0
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature RepresentationCode0
Effective Dimensionality Reduction for Word EmbeddingsCode0
ECG Beats Fast Classification Base on Sparse DictionariesCode0
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation ModelsCode0
A Linearly Convergent Algorithm for Distributed Principal Component AnalysisCode0
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) dataCode0
DysLexML: Screening Tool for Dyslexia Using Machine LearningCode0
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler DivergenceCode0
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and CheckingCode0
Earthmover-based manifold learning for analyzing molecular conformation spacesCode0
Efficient Algorithms for t-distributed Stochastic Neighborhood EmbeddingCode0
Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative ValuesCode0
Adaptive Mixtures of Factor AnalyzersCode0
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and ClassificationCode0
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object DetectionCode0
DNN Feature Map Compression using Learned Representation over GF(2)Code0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly DetectionCode0
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative FactorsCode0
Distributionally Robust Optimization with Markovian DataCode0
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text SpatializationsCode0
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement LearningCode0
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
Funnels: Exact maximum likelihood with dimensionality reductionCode0
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal EmbeddingsCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
Accelerated Stochastic Power IterationCode0
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition ManifoldsCode0
A journey in ESN and LSTM visualisations on a language taskCode0
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
Dimension Reduction for Data with Heterogeneous MissingnessCode0
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot LayoutsCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Dimension Reduction and MARSCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Active Learning for Manifold Gaussian Process RegressionCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Reducing the dimensionality of data using tempered distributionsCode0
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality ReductionCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
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