SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 201225 of 3304 papers

TitleStatusHype
A Spectral Method for Assessing and Combining Multiple Data VisualizationsCode1
ParaDime: A Framework for Parametric Dimensionality ReductionCode1
A local approach to parameter space reduction for regression and classification tasksCode1
Pattern or Artifact? Interactively Exploring Embedding Quality with TRACECode1
PhyloProfile v2 -- Exploring multi-layered phylogenetic profiles at scaleCode1
Physics-aware registration based auto-encoder for convection dominated PDEsCode1
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximationsCode1
Curvature-based Feature Selection with Application in Classifying Electronic Health RecordsCode1
Quantifying Extrinsic Curvature in Neural ManifoldsCode1
Quantum Algorithms for Compositional Natural Language ProcessingCode1
Reduced operator inference for nonlinear partial differential equationsCode1
Reduced Order Modeling with Shallow Recurrent Decoder NetworksCode1
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust ExplorationCode1
Rethinking Spatial Dimensions of Vision TransformersCode1
Risk of Bias in Chest Radiography Deep Learning Foundation ModelsCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOMCode1
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph EmbeddingCode1
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate CurvatureCode1
SKFAC:Training Neural Networks with Faster Kronecker-Factored Approximate CurvatureCode1
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time SeriesCode1
Spectral Clustering of Attributed Multi-relational GraphsCode1
Supervised Domain Adaptation using Graph EmbeddingCode1
Symplectic Autoencoders for Model Reduction of Hamiltonian SystemsCode1
Locally Linear Embedding and its Variants: Tutorial and SurveyCode1
Show:102550
← PrevPage 9 of 133Next →

Benchmark Results

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