SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 24262450 of 3304 papers

TitleStatusHype
Representation Learning by Reconstructing Neighborhoods0
Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis0
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds0
The Price of Fair PCA: One Extra DimensionCode0
Non-linear Canonical Correlation Analysis: A Compressed Representation Approach0
Contrastive Multivariate Singular Spectrum Analysis0
Unsupervised Dimension Selection using a Blue Noise Spectrum0
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction0
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation0
Scaling Gaussian Process Regression with DerivativesCode0
Failing Loudly: An Empirical Study of Methods for Detecting Dataset ShiftCode0
Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large data sets0
Perceptual Visual Interactive Learning0
CatBoost: gradient boosting with categorical features supportCode1
Modified Multidimensional Scaling and High Dimensional Clustering0
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning0
Optimal terminal dimensionality reduction in Euclidean space0
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions0
Fast Randomized PCA for Sparse DataCode0
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable ModelsCode0
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis0
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Asymptotics for Sketching in Least Squares RegressionCode0
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring SignalsCode0
Show:102550
← PrevPage 98 of 133Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified