SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 601–650 of 3304 papers

TitleStatusHype
A flexible Bayesian g-formula for causal survival analyses with time-dependent confoundingCode0
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial LibrariesCode0
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein—0
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data—0
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 Actuators—0
A Big Data Architecture for Early Identification and Categorization of Dark Web SitesCode0
Accelerating hyperbolic t-SNE—0
Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces—0
Full-dimensional characterisation of time-warped spike-time stimulus-response distribution geometries—0
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction—0
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks—0
Automatic dimensionality reduction of Twin-in-the-Loop Observers—0
Comprehensive OOD Detection Improvements—0
Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding—0
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm—0
Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel Embeddings—0
Sparse PCA with False Discovery Rate Controlled Variable Selection—0
Image Similarity using An Ensemble of Context-Sensitive ModelsCode0
Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning—0
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
MISS: Multiclass Interpretable Scoring SystemsCode0
Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods—0
Linear Recursive Feature Machines provably recover low-rank matricesCode1
Fun with Flags: Robust Principal Directions via Flag ManifoldsCode0
Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications—0
Nonlinear functional regression by functional deep neural network with kernel embedding—0
Scalable manifold learning by uniform landmark sampling and constrained locally linear embedding—0
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 networks—0
ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning—0
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language ModelsCode1
Agnostically Learning Multi-index Models with Queries—0
LeanVec: Searching vectors faster by making them fitCode2
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks—0
Nowcasting Madagascar's real GDP using machine learning algorithms—0
Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products—0
Deep Learning for Efficient GWAS Feature Selection—0
Augment on Manifold: Mixup Regularization with UMAP—0
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs—0
Characterization of Phosphorylated Tau-Microtubule complex with Molecular Dynamics (MD) simulationCode0
Unsupervised Learning for Fault Detection of HVAC Systems: An OPTICS -based Approach for Terminal Air Handling Units—0
Language-Assisted 3D Scene Understanding—0
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses—0
Physics-Informed Representation and Learning: Control and Risk QuantificationCode0
Investigating Shallow and Deep Learning Techniques for Emotion Classification in Short Persian TextsCode0
Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation—0
A new method color MS-BSIF Features learning for the robust kinship verification—0
Symplectic Autoencoders for Model Reduction of Hamiltonian SystemsCode1
Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion MapsCode0
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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