SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 301325 of 3304 papers

TitleStatusHype
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering0
Unsupervised feature selection algorithm framework based on neighborhood interval disturbance fusion0
Lossless KV Cache Compression to 2%0
Efficient Sparse PCA via Block-Diagonalization0
Interpreting Temporal Graph Neural Networks with Koopman TheoryCode1
Large data limits and scaling laws for tSNE0
Game Theory Meets Statistical Mechanics in Deep Learning Design0
Approaching Metaheuristic Deep Learning Combos for Automated Data Mining0
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface0
GleanVec: Accelerating vector search with minimalist nonlinear dimensionality reduction0
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals0
Emulators for stellar profiles in binary population modeling0
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximationsCode1
TL-PCA: Transfer Learning of Principal Component Analysis0
Enhancing Affinity Propagation for Improved Public Sentiment InsightsCode0
Fast Data-independent KLT Approximations Based on Integer Functions0
Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property PredictionCode0
Learning Low-Level Causal Relations using a Simulated Robotic ArmCode0
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition0
Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees0
Principal Orthogonal Latent Components Analysis (POLCA Net)Code0
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility0
Learning Image Derived PDE-Phenotypes from fMRI Data0
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI0
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex0
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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