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 2451–2500 of 3304 papers

TitleStatusHype
Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease—0
Network Distance Based on Laplacian Flows on Graphs—0
Network Resource Optimization for ML-Based UAV Condition Monitoring with Vibration Analysis—0
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning—0
Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments—0
Neural-Kernelized Conditional Density Estimation—0
Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval—0
Neural Stress Fields for Reduced-order Elastoplasticity and Fracture—0
NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds—0
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps—0
Neuroscience-inspired online unsupervised learning algorithms—0
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance—0
News2vec: News Network Embedding with Subnode Information—0
New Transfer Learning Techniques for Disparate Label Sets—0
New wrapper method based on normalized mutual information for dimension reduction and classification of hyperspectral images—0
Noise-Augmented Boruta: The Neural Network Perturbation Infusion with Boruta Feature Selection—0
Noise-robust latent vector reconstruction in ptychography using deep generative models—0
Noisy Data Visualization using Functional Data Analysis—0
Noisy multi-label semi-supervised dimensionality reduction—0
NOMAD Projection—0
Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy—0
Non-Contact Acquisition of PPG Signal using Chest Movement-Modulated Radio Signals—0
Non-Euclidean Self-Organizing Maps—0
Non-Gaussian Component Analysis using Entropy Methods—0
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis—0
Non-linear dimensionality reduction: Riemannian metric estimation and the problem of geometric discovery—0
Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets—0
Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach—0
Nonlinear Dimensionality Reduction on Graphs—0
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era—0
Non-linear dimension reduction in factor-augmented vector autoregressions—0
Nonlinear Dimension Reduction via Outer Bi-Lipschitz Extensions—0
Nonlinear Feature Aggregation: Two Algorithms driven by Theory—0
Nonlinear functional regression by functional deep neural network with kernel embedding—0
Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy—0
Non-Linear Spectral Dimensionality Reduction Under Uncertainty—0
Nonlinear Structural Vector Autoregressive Models for Inferring Effective Brain Network Connectivity—0
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network—0
Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings—0
Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey—0
Non-Negative Matrix Factorization with Scale Data Structure Preservation—0
Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction—0
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging—0
Non-Orthogonal Explicit Semantic Analysis—0
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering—0
Non-PSD Matrix Sketching with Applications to Regression and Optimization—0
Non-Redundant Spectral Dimensionality Reduction—0
Nonsmoothness in Machine Learning: specific structure, proximal identification, and applications—0
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis—0
Notes on Low-rank Matrix Factorization—0
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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