Dimensionality Reduction

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

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 126–150 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation	Mar 20, 2021	Dimensionality ReductionNavigate	CodeCode Available	1	5
Correlation-based feature selection to identify functional dynamics in proteins	Apr 6, 2022	ClusteringCommunity Detection	CodeCode Available	1	5
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction	Jun 8, 2021	Bayesian InferenceDimensionality Reduction	CodeCode Available	1	5
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation	Oct 2, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1	5
Deep active subspaces - a scalable method for high-dimensional uncertainty propagation	Feb 27, 2019	Dimensionality ReductionUncertainty Quantification	CodeCode Available	1	5
Adversarial Autoencoders	Nov 18, 2015	ClusteringData Visualization	CodeCode Available	1	5
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models	Jan 1, 2021	Dimensionality Reduction	CodeCode Available	1	5
Curvature-based Feature Selection with Application in Classifying Electronic Health Records	Jan 10, 2021	Breast Cancer DetectionBreast Tissue Identification	CodeCode Available	1	5
DartMinHash: Fast Sketching for Weighted Sets	May 23, 2020	Dimensionality Reduction	CodeCode Available	1	5
A Memory Efficient Baseline for Open Domain Question Answering	Dec 30, 2020	Dimensionality ReductionOpen-Domain Question Answering	CodeCode Available	1	5
Deep Dimension Reduction for Supervised Representation Learning	Jun 10, 2020	Dimensionality ReductionDisentanglement	CodeCode Available	1	5
Deep Learning for Functional Data Analysis with Adaptive Basis Layers	Jun 19, 2021	Deep LearningDimensionality Reduction	CodeCode Available	1	5
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations	Jul 9, 2021	Dimensionality Reduction	CodeCode Available	1	5
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction	Sep 19, 2019	Dimensionality Reduction	CodeCode Available	1	5
A local approach to parameter space reduction for regression and classification tasks	Jul 22, 2021	ClusteringDimensionality Reduction	CodeCode Available	1	5
A hyperparameter-tuning approach to automated inverse planning	May 14, 2021	Bayesian OptimizationDimensionality Reduction	CodeCode Available	1	5
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning	Jun 21, 2022	Dimensionality ReductionExperimental Design	CodeCode Available	1	5
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets	May 11, 2023	Data VisualizationDimensionality Reduction	CodeCode Available	1	5
An Embedding is Worth a Thousand Noisy Labels	Aug 26, 2024	Dimensionality ReductionSupervised dimensionality reduction	CodeCode Available	1	5
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder	May 6, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1	5
A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery	Mar 7, 2023	ClusteringDimensionality Reduction	CodeCode Available	1	5
Discovering Distinctive "Semantics" in Super-Resolution Networks	Aug 1, 2021	Dimensionality ReductionImage Super-Resolution	CodeCode Available	1	5
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA	Jun 17, 2021	Dimensionality ReductionDisentanglement	CodeCode Available	1	5
Distributed Out-of-Memory NMF on CPU/GPU Architectures	Feb 19, 2022	CPUDimensionality Reduction	CodeCode Available	1	5
Clustering with UMAP: Why and How Connectivity Matters	Aug 12, 2021	ClusteringDimensionality Reduction	CodeCode Available	1	5

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All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified