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
Approximating Likelihood Ratios with Calibrated Discriminative ClassifiersCode1
A Primer on the Signature Method in Machine LearningCode1
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithmsCode1
A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiologyCode1
On Path Integration of Grid Cells: Group Representation and Isotropic ScalingCode1
A Spectral Method for Assessing and Combining Multiple Data VisualizationsCode1
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language ModelsCode1
Deep reconstruction of strange attractors from time seriesCode1
GCN-DevLSTM: Path Development for Skeleton-Based Action RecognitionCode1
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative LearningCode1
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
Deep active subspaces - a scalable method for high-dimensional uncertainty propagationCode1
Curvature-based Feature Selection with Application in Classifying Electronic Health RecordsCode1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brainCode1
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reductionCode1
A hyperparameter-tuning approach to automated inverse planningCode1
Clustering with UMAP: Why and How Connectivity MattersCode1
Correlation-based feature selection to identify functional dynamics in proteinsCode1
Deep Dimension Reduction for Supervised Representation LearningCode1
Adversarial AutoencodersCode1
CBMAP: Clustering-based manifold approximation and projection for dimensionality reductionCode1
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional DatasetsCode1
The Signature Kernel is the solution of a Goursat PDECode1
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box ModelsCode1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
DartMinHash: Fast Sketching for Weighted SetsCode1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid SimulationsCode1
Deep Learning of Individual AestheticsCode1
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Diagnosing and Fixing Manifold Overfitting in Deep Generative ModelsCode1
A local approach to parameter space reduction for regression and classification tasksCode1
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor FactorizationCode1
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
Bayesian Optimization of Sampling Densities in MRICode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
ActUp: Analyzing and Consolidating tSNE and UMAPCode1
An Additive Autoencoder for Dimension EstimationCode1
Distributed Out-of-Memory NMF on CPU/GPU ArchitecturesCode1
DMCNet: Diversified Model Combination Network for Understanding Engagement from Video ScreengrabsCode1
DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation for Unspervised Dimensionality ReductionCode1
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction ModelsCode1
An Embedding is Worth a Thousand Noisy LabelsCode1
A New Basis for Sparse Principal Component AnalysisCode1
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
Towards a More Rigorous Science of Blindspot Discovery in Image Classification ModelsCode1
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
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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