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 51–75 of 3304 papers

Title	Date	Tasks	Status	Hype
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning	Oct 4, 2023	Dimensionality ReductionIn-Context Learning	CodeCode Available	1
Multi-fidelity reduced-order surrogate modeling	Sep 1, 2023	Dimensionality Reduction	CodeCode Available	1
Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression	Aug 21, 2023	Dimensionality Reduction	CodeCode Available	1
ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings	Aug 1, 2023	Dimensionality Reduction	CodeCode Available	1
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences	Jun 21, 2023	Dimensionality ReductionImage Segmentation	CodeCode Available	1
ActUp: Analyzing and Consolidating tSNE and UMAP	May 12, 2023	Dimensionality Reduction	CodeCode Available	1
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets	May 11, 2023	Data VisualizationDimensionality Reduction	CodeCode Available	1
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation	Apr 14, 2023	Dimensionality ReductionSemantic Segmentation	CodeCode Available	1
SELFormer: Molecular Representation Learning via SELFIES Language Models	Apr 10, 2023	Dimensionality ReductionDrug Discovery	CodeCode Available	1
A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery	Mar 7, 2023	ClusteringDimensionality Reduction	CodeCode Available	1
Kernelized Diffusion maps	Feb 13, 2023	ClusteringDimensionality Reduction	CodeCode Available	1
Learning Topology-Preserving Data Representations	Jan 31, 2023	Dimensionality ReductionTriplet	CodeCode Available	1
Fast conformational clustering of extensive molecular dynamics simulation data	Jan 11, 2023	ClusteringDimensionality Reduction	CodeCode Available	1
Latent Autoregressive Source Separation	Jan 9, 2023	Dimensionality Reduction	CodeCode Available	1
Principal Component Analysis in Space Forms	Jan 6, 2023	Dimensionality ReductionForm	CodeCode Available	1
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation	Dec 22, 2022	Dimensionality ReductionGenerative Adversarial Network	CodeCode Available	1
Quantifying Extrinsic Curvature in Neural Manifolds	Dec 20, 2022	Dimensionality ReductionTopological Data Analysis	CodeCode Available	1
Transform Once: Efficient Operator Learning in Frequency Domain	Nov 26, 2022	Dimensionality ReductionOperator learning	CodeCode Available	1
Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data	Nov 25, 2022	Dimensionality Reductionfeature selection	CodeCode Available	1
Efficient Feature Extraction for High-resolution Video Frame Interpolation	Nov 25, 2022	4kDimensionality Reduction	CodeCode Available	1
EVNet: An Explainable Deep Network for Dimension Reduction	Nov 21, 2022	Data AugmentationDimensionality Reduction	CodeCode Available	1
Minimalist Data Wrangling with Python	Nov 9, 2022	Dimensionality Reduction	CodeCode Available	1
A Spectral Method for Assessing and Combining Multiple Data Visualizations	Oct 25, 2022	Data VisualizationDimensionality Reduction	CodeCode Available	1
An Additive Autoencoder for Dimension Estimation	Oct 13, 2022	Dimensionality Reduction	CodeCode Available	1
ParaDime: A Framework for Parametric Dimensionality Reduction	Oct 10, 2022	Dimensionality Reduction	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