SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 801850 of 3304 papers

TitleStatusHype
A flexible Bayesian g-formula for causal survival analyses with time-dependent confoundingCode0
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein0
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial LibrariesCode0
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data0
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component AnalysisCode0
Run-to-Run Control With Bayesian Optimization for Soft Landing of Short-Stroke Reluctance Actuators0
A Big Data Architecture for Early Identification and Categorization of Dark Web SitesCode0
Accelerating hyperbolic t-SNE0
Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces0
Full-dimensional characterisation of time-warped spike-time stimulus-response distribution geometries0
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction0
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks0
Automatic dimensionality reduction of Twin-in-the-Loop Observers0
Comprehensive OOD Detection Improvements0
Sparse PCA with False Discovery Rate Controlled Variable Selection0
Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding0
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm0
Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel Embeddings0
Image Similarity using An Ensemble of Context-Sensitive ModelsCode0
Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning0
MISS: Multiclass Interpretable Scoring SystemsCode0
Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods0
Fun with Flags: Robust Principal Directions via Flag ManifoldsCode0
Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications0
Nonlinear functional regression by functional deep neural network with kernel embedding0
Scalable manifold learning by uniform landmark sampling and constrained locally linear embedding0
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block ModelsCode0
A Novel method for Schizophrenia classification using nonlinear features and neural networks0
ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning0
Agnostically Learning Multi-index Models with Queries0
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks0
Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products0
Nowcasting Madagascar's real GDP using machine learning algorithms0
Deep Learning for Efficient GWAS Feature Selection0
Augment on Manifold: Mixup Regularization with UMAP0
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs0
Language-Assisted 3D Scene Understanding0
Unsupervised Learning for Fault Detection of HVAC Systems: An OPTICS -based Approach for Terminal Air Handling Units0
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses0
Characterization of Phosphorylated Tau-Microtubule complex with Molecular Dynamics (MD) simulationCode0
Physics-Informed Representation and Learning: Control and Risk QuantificationCode0
Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation0
Investigating Shallow and Deep Learning Techniques for Emotion Classification in Short Persian TextsCode0
A new method color MS-BSIF Features learning for the robust kinship verification0
Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion MapsCode0
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis0
Featurizing Koopman Mode Decomposition For Robust ForecastingCode0
RdimKD: Generic Distillation Paradigm by Dimensionality Reduction0
High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring0
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization0
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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