SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 17511775 of 3304 papers

TitleStatusHype
[Re] Explaining Groups of Points in Low-Dimensional RepresentationsCode0
Exploring the Geometry and Topology of Neural Network Loss Landscapes0
Spike and slab Bayesian sparse principal component analysis0
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis0
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition0
Accuracy and Privacy Evaluations of Collaborative Data Analysis0
Probability distributions for analog-to-target distances0
Contrastive analysis for scatterplot-based representations of dimensionality reduction0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Novel Recording Studio Features for Music Information Retrieval0
Domain-Dependent Speaker Diarization for the Third DIHARD Challenge0
Feature Selection Using Reinforcement Learning0
Machine Learning in LiDAR 3D point clouds0
Sparsistent filtering of comovement networks from high-dimensional data0
Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?0
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction0
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders0
Multi-view Data Visualisation via Manifold LearningCode0
Generalized Image Reconstruction over T-AlgebraCode0
Multi-point dimensionality reduction to improve projection layout reliability0
Joint Dimensionality Reduction for Separable Embedding Estimation0
Entangled Kernels -- Beyond Separability0
Physics-aware, probabilistic model order reduction with guaranteed stability0
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI0
Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality0
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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