SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 401–425 of 3304 papers

TitleStatusHype
Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN—0
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
On Probabilistic Embeddings in Optimal Dimension Reduction—0
Principal component analysis balancing prediction and approximation accuracy for spatial dataCode0
Feature Clock: High-Dimensional Effects in Two-Dimensional Plots—0
Automated Classification of Dry Bean Varieties Using XGBoost and SVM Models—0
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks—0
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text SpatializationsCode0
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemiaCode0
On-the-fly spectral unmixing based on Kalman filtering—0
Dimension-reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference Problems—0
Optimal high-precision shadow estimation—0
ModalChorus: Visual Probing and Alignment of Multi-modal Embeddings via Modal Fusion MapCode0
Word Embedding Dimension Reduction via Weakly-Supervised Feature SelectionCode0
TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional RegressionCode0
Spectral Self-supervised Feature Selection—0
Unveiling the Potential of BERTopic for Multilingual Fake News Analysis -- Use Case: Covid-19—0
Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design—0
Robust Partial Least Squares Using Low Rank and Sparse Decomposition—0
Single-Sequence-Based Protein Secondary Structure Prediction using One-Hot and Chemical Encodings of Amino Acids—0
Automatic Prediction of the Performance of Every Parser—0
Autoencoded Image Compression for Secure and Fast TransmissionCode0
Adversarial Robustness of VAEs across Intersectional SubgroupsCode0
Credit Risk Assessment Model for UAE Commercial Banks: A Machine Learning Approach—0
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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