SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 501550 of 3304 papers

TitleStatusHype
DNN Feature Map Compression using Learned Representation over GF(2)Code0
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and CheckingCode0
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor CompletionCode0
Enhanced Expressive Power and Fast Training of Neural Networks by Random ProjectionsCode0
Analyzing scRNA-seq data by CCP-assisted UMAP and t-SNECode0
Network Representation Learning: Consolidation and Renewed BearingCode0
Image Reconstruction via Deep Image Prior SubspacesCode0
Neural Codes for Image RetrievalCode0
Supervised Dimensionality Reduction for Big DataCode0
Neural Dynamics Discovery via Gaussian Process Recurrent Neural NetworksCode0
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly DetectionCode0
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot LayoutsCode0
Distributed Lyapunov Functions for Nonlinear NetworksCode0
Distributionally Robust Optimization with Markovian DataCode0
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
Dimension Reduction and MARSCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Reducing the dimensionality of data using tempered distributionsCode0
A Generalized EigenGame with Extensions to Multiview Representation LearningCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Dimension Reduction for Data with Heterogeneous MissingnessCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
An Information Theory-Based Feature Selection Framework for Big Data Under Apache SparkCode0
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue OptimizationCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and ClassificationCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee AggregationCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian ProcessesCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Derivative-enhanced Deep Operator NetworkCode0
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
A Flexible Framework for Anomaly Detection via Dimensionality ReductionCode0
Degradation Modeling and Prognostic Analysis Under Unknown Failure ModesCode0
Manifold Fitting under Unbounded NoiseCode0
A flexible Bayesian g-formula for causal survival analyses with time-dependent confoundingCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
Asymptotics for Sketching in Least Squares RegressionCode0
A Flag Decomposition for Hierarchical DatasetsCode0
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain FeaturesCode0
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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