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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 321–330 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings	May 20, 2025	Dimensionality Reductionregression	CodeCode Available	0	5
Dimensionality Reduction for Binary Data through the Projection of Natural Parameters	Oct 21, 2015	Dimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 7, 2023	Dimensionality ReductionImage Segmentation	CodeCode Available	0	5
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting	Mar 27, 2023	Dimensionality ReductionState Estimation	CodeCode Available	0	5
Accelerated Stochastic Power Iteration	Jul 10, 2017	Dimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach	Oct 15, 2018	Dimensionality Reduction	CodeCode Available	0	5
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures	Apr 8, 2022	Deep LearningDimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds	Apr 18, 2019	Dimensionality Reduction	CodeCode Available	0	5
A journey in ESN and LSTM visualisations on a language task	Dec 3, 2020	Dimensionality ReductionSentence	CodeCode Available	0	5
ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings	Sep 17, 2016	Computational EfficiencyDimensionality Reduction	CodeCode Available	0	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