SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 3304 papers

TitleStatusHype
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature DescriptorsCode1
Bayesian Optimization of Sampling Densities in MRICode1
Risk of Bias in Chest Radiography Deep Learning Foundation ModelsCode1
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithmsCode1
Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional AutoencodersCode1
IAN: Iterated Adaptive Neighborhoods for manifold learning and dimensionality estimationCode1
HEFT: Homomorphically Encrypted Fusion of Biometric TemplatesCode1
Towards a More Rigorous Science of Blindspot Discovery in Image Classification ModelsCode1
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition PathsCode1
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative LearningCode1
GiDR-DUN; Gradient Dimensionality Reduction -- Differences and UnificationCode1
Few-Shot Learning by Dimensionality Reduction in Gradient SpaceCode1
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time SeriesCode1
Trainable Weight Averaging: A General Approach for Subspace TrainingCode1
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series ForecastingCode1
High-dimensional additive Gaussian processes under monotonicity constraintsCode1
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with TreemapsCode1
DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterpartsCode1
Dimension Reduction for Efficient Dense Retrieval via Conditional AutoencoderCode1
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction ModelsCode1
Uniform Manifold Approximation with Two-phase OptimizationCode1
Diagnosing and Fixing Manifold Overfitting in Deep Generative ModelsCode1
DMCNet: Diversified Model Combination Network for Understanding Engagement from Video ScreengrabsCode1
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal dataCode1
Correlation-based feature selection to identify functional dynamics in proteinsCode1
Show:102550
← PrevPage 4 of 133Next →
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