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Dimensionality Reduction

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

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Papers

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Showing 101–150 of 3304 papers

TitleStatusHype
GiDR-DUN; Gradient Dimensionality Reduction -- Differences and UnificationCode1
Going Beyond T-SNE: Exposing whatlies in Text EmbeddingsCode1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
High-dimensional additive Gaussian processes under monotonicity constraintsCode1
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical ProjectionsCode1
HUMAP: Hierarchical Uniform Manifold Approximation and ProjectionCode1
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation VectorsCode1
CBMAP: Clustering-based manifold approximation and projection for dimensionality reductionCode1
Interpreting Temporal Graph Neural Networks with Koopman TheoryCode1
A Spectral Method for Assessing and Combining Multiple Data VisualizationsCode1
Latent variable modeling with random featuresCode1
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction ModelsCode1
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
Learning the dynamics of technical trading strategiesCode1
Learning Topology-Preserving Data RepresentationsCode1
Less is more: Faster and better music version identification with embedding distillationCode1
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximationCode1
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate modelsCode1
ManifoldNet: A Deep Network Framework for Manifold-valued DataCode1
Metric Space Magnitude for Evaluating the Diversity of Latent RepresentationsCode1
Minimalist Data Wrangling with PythonCode1
Molecular Insights from Conformational Ensembles via Machine LearningCode1
Multi-fidelity reduced-order surrogate modelingCode1
NCVis: Noise Contrastive Approach for Scalable VisualizationCode1
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithmsCode1
Adversarial AutoencodersCode1
An efficient aggregation method for the symbolic representation of temporal dataCode1
An Embedding is Worth a Thousand Noisy LabelsCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
A local approach to parameter space reduction for regression and classification tasksCode1
Approximating Likelihood Ratios with Calibrated Discriminative ClassifiersCode1
A Primer on the Signature Method in Machine LearningCode1
On Path Integration of Grid Cells: Group Representation and Isotropic ScalingCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
ATD: Augmenting CP Tensor Decomposition by Self SupervisionCode1
Autoencoding with a Classifier SystemCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
Bayesian Optimization of Sampling Densities in MRICode1
BayesOpt Adversarial AttackCode1
A hyperparameter-tuning approach to automated inverse planningCode1
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional DatasetsCode1
The Signature Kernel is the solution of a Goursat PDECode1
Correlation-based feature selection to identify functional dynamics in proteinsCode1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
Deep active subspaces - a scalable method for high-dimensional uncertainty propagationCode1
Deep Dimension Reduction for Supervised Representation LearningCode1
An Additive Autoencoder for Dimension EstimationCode1
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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