Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 201–225 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders	Dec 1, 2020	ClusteringDenoising	CodeCode Available	1	5
Recursive KL Divergence Optimization: A Dynamic Framework for Representation Learning	Apr 30, 2025	Contrastive LearningDimensionality 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
Correlation-based feature selection to identify functional dynamics in proteins	Apr 6, 2022	ClusteringCommunity Detection	CodeCode Available	1	5
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction	Mar 24, 2022	16kData Augmentation	CodeCode Available	1	5
Rethinking Spatial Dimensions of Vision Transformers	Mar 30, 2021	Dimensionality Reductionimage-classification	CodeCode Available	1	5
DartMinHash: Fast Sketching for Weighted Sets	May 23, 2020	Dimensionality Reduction	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
Curvature-based Feature Selection with Application in Classifying Electronic Health Records	Jan 10, 2021	Breast Cancer DetectionBreast Tissue Identification	CodeCode Available	1	5
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM	Jan 3, 2022	Data VisualizationDimensionality Reduction	CodeCode Available	1	5
Sign Bits Are All You Need for Black-Box Attacks	May 1, 2020	Adversarial AttackAll	CodeCode Available	1	5
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation	Mar 20, 2021	Dimensionality ReductionNavigate	CodeCode Available	1	5
SKFAC:Training Neural Networks with Faster Kronecker-Factored Approximate Curvature	Jun 1, 2021	Dimensionality Reduction	CodeCode Available	1	5
SLISEMAP: Supervised dimensionality reduction through local explanations	Jan 12, 2022	ClassificationDimensionality Reduction	CodeCode Available	1	5
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems	Mar 23, 2024	Dimensionality ReductionDomain Adaptation	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 Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain	Jan 19, 2021	Data AugmentationDimensionality Reduction	CodeCode Available	1	5
Deep Dimension Reduction for Supervised Representation Learning	Jun 10, 2020	Dimensionality ReductionDisentanglement	CodeCode Available	1	5
Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional Autoencoders	Aug 25, 2022	Deep LearningDimensionality Reduction	CodeCode Available	1	5
Supervised Domain Adaptation using Graph Embedding	Mar 9, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1	5
Targeted Visualization of the Backbone of Encoder LLMs	Mar 26, 2024	Dimensionality Reductionimage-classification	CodeCode Available	1	5
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction	Feb 9, 2015	Dimensionality ReductionMULTI-VIEW LEARNING	CodeCode Available	1	5
Deep Learning for Functional Data Analysis with Adaptive Basis Layers	Jun 19, 2021	Deep LearningDimensionality 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
ParaDime: A Framework for Parametric Dimensionality Reduction	Oct 10, 2022	Dimensionality 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