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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 1211–1220 of 3304 papers

Title	Date	Tasks	Status	Hype
Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs	May 26, 2022	Dimensionality ReductionTensor Decomposition	—Unverified	0
Trainable Weight Averaging: A General Approach for Subspace Training	May 26, 2022	Dimensionality ReductionEfficient Neural Network	CodeCode Available	1
ENS-t-SNE: Embedding Neighborhoods Simultaneously t-SNE	May 24, 2022	Dimensionality Reduction	CodeCode Available	0
PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes	May 23, 2022	Dimensionality Reduction	—Unverified	0
The Forecasting performance of the Factor model with Martingale Difference errors	May 20, 2022	Dimensionality ReductionTime Series Analysis	—Unverified	0
Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases	May 19, 2022	Dimensionality Reduction	CodeCode Available	0
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting	May 18, 2022	Deep LearningDimensionality Reduction	CodeCode Available	1
High-dimensional additive Gaussian processes under monotonicity constraints	May 17, 2022	Dimensionality ReductionGaussian Processes	CodeCode Available	1
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps	May 14, 2022	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts	May 10, 2022	Dimensionality ReductionKnowledge Distillation	CodeCode Available	1

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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