SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 51100 of 3304 papers

TitleStatusHype
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering TransformsCode1
Estimating leverage scores via rank revealing methods and randomizationCode1
EVNet: An Explainable Deep Network for Dimension ReductionCode1
Explaining dimensionality reduction results using Shapley valuesCode1
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
FDApy: a Python package for functional dataCode1
Few-Shot Learning by Dimensionality Reduction in Gradient SpaceCode1
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series ForecastingCode1
From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic CommunicationCode1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
Deep Learning for Functional Data Analysis with Adaptive Basis LayersCode1
Generative locally linear embedding: A module for manifold unfolding and visualizationCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
A Spectral Method for Assessing and Combining Multiple Data VisualizationsCode1
A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiologyCode1
Autoencoding with a Classifier SystemCode1
CatBoost: gradient boosting with categorical features supportCode1
Approximating Likelihood Ratios with Calibrated Discriminative ClassifiersCode1
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction ModelsCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
ATD: Augmenting CP Tensor Decomposition by Self SupervisionCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximationsCode1
Bayesian Optimization of Sampling Densities in MRICode1
BayesOpt Adversarial AttackCode1
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithmsCode1
Clustering with UMAP: Why and How Connectivity MattersCode1
The Signature Kernel is the solution of a Goursat PDECode1
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reductionCode1
Curvature-based Feature Selection with Application in Classifying Electronic Health RecordsCode1
DartMinHash: Fast Sketching for Weighted SetsCode1
Deep active subspaces - a scalable method for high-dimensional uncertainty propagationCode1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brainCode1
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid SimulationsCode1
Deep reconstruction of strange attractors from time seriesCode1
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionCode1
ActUp: Analyzing and Consolidating tSNE and UMAPCode1
An Embedding is Worth a Thousand Noisy LabelsCode1
Diagnosing and Fixing Manifold Overfitting in Deep Generative ModelsCode1
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor FactorizationCode1
Dimensionality reduction to maximize prediction generalization capabilityCode1
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICACode1
DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterpartsCode1
Distributional Principal AutoencodersCode1
DMCNet: Diversified Model Combination Network for Understanding Engagement from Video ScreengrabsCode1
An efficient aggregation method for the symbolic representation of temporal dataCode1
A New Basis for Sparse Principal Component AnalysisCode1
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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