SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1251–1300 of 3304 papers

TitleStatusHype
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal dataCode1
Covariance matrix preparation for quantum principal component analysis—0
Correlation-based feature selection to identify functional dynamics in proteinsCode1
Knowledge Base Index Compression via Dimensionality and Precision ReductionCode0
An efficient real-time target tracking algorithm using adaptive feature fusion—0
Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction—0
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting—0
The Fast Johnson-Lindenstrauss Transform is Even FasterCode0
MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems—0
Path Development Network with Finite-dimensional Lie Group RepresentationCode1
Application of Dimensional Reduction in Artificial Neural Networks to Improve Emergency Department Triage During Chemical Mass Casualty Incidents—0
Transformers for 1D Signals in Parkinson's Disease Detection from GaitCode1
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality—0
Ternary and Binary Quantization for Improved Classification—0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
Digital Fingerprinting of Microstructures—0
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA—0
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality ReductionCode1
Semi-Supervised Graph Learning Meets Dimensionality ReductionCode0
Evolution is Driven by Natural Autoencoding: Reframing Species, Interaction Codes, Cooperation, and Sexual Reproduction—0
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection—0
Dimensionality Reduction and Wasserstein Stability for Kernel Regression—0
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Sparse random hypergraphs: Non-backtracking spectra and community detectionCode0
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients—0
Dimensionality Reduction and Prioritized Exploration for Policy Search—0
Bayesian Calibration for Activity Based Models—0
Diffusion Maps : Using the Semigroup Property for Parameter Tuning—0
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed DataCode1
Uniform Approximations for Randomized Hadamard Transforms with Applications—0
Are Latent Factor Regression and Sparse Regression Adequate?—0
Split Semantic Detection in Sandplay Images—0
On genetic programming representations and fitness functions for interpretable dimensionality reductionCode0
On the Robustness of CountSketch to Adaptive Inputs—0
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference—0
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data—0
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains—0
Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning—0
Exploring the Unfairness of DP-SGD Across Settings—0
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence—0
Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering—0
Thermal hand image segmentation for biometric recognition—0
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis—0
Schrödinger Risk Diversification Portfolio—0
Distributed Out-of-Memory NMF on CPU/GPU ArchitecturesCode1
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional ImagesCode0
Using the left Gram matrix to cluster high dimensional data—0
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks—0
Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods—0
Toward Unsupervised Test Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data—0
Show:102550
← PrevPage 26 of 67Next →
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