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 151–175 of 3304 papers

Title	Date	Tasks	Status	Hype
DefakeHop: A Light-Weight High-Performance Deepfake Detector	Mar 11, 2021	DeepFake DetectionDimensionality Reduction	CodeCode Available	1
Modern Dimension Reduction	Mar 11, 2021	Dimensionality Reduction	CodeCode Available	1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks	Mar 10, 2021	BIG-bench Machine LearningDesign Synthesis	CodeCode Available	1
Explaining dimensionality reduction results using Shapley values	Mar 9, 2021	ClusteringDimensionality Reduction	CodeCode Available	1
Minimum-Distortion Embedding	Mar 3, 2021	Dimensionality Reduction	CodeCode Available	1
Unsupervised Ground Metric Learning using Wasserstein Singular Vectors	Feb 11, 2021	ClusteringDimensionality Reduction	CodeCode Available	1
OmiEmbed: a unified multi-task deep learning framework for multi-omics data	Feb 3, 2021	BIG-bench Machine LearningDecision Making	CodeCode Available	1
Reduced operator inference for nonlinear partial differential equations	Jan 29, 2021	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
FDApy: a Python package for functional data	Jan 26, 2021	ClusteringDimensionality Reduction	CodeCode Available	1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain	Jan 19, 2021	Data AugmentationDimensionality Reduction	CodeCode Available	1
Curvature-based Feature Selection with Application in Classifying Electronic Health Records	Jan 10, 2021	Breast Cancer DetectionBreast Tissue Identification	CodeCode Available	1
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models	Jan 1, 2021	Dimensionality Reduction	CodeCode Available	1
A Memory Efficient Baseline for Open Domain Question Answering	Dec 30, 2020	Dimensionality ReductionOpen-Domain Question Answering	CodeCode Available	1
Probabilistic Contrastive Principal Component Analysis	Dec 14, 2020	Dimensionality ReductionUncertainty Quantification	CodeCode Available	1
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization	Dec 8, 2020	Data AugmentationData Visualization	CodeCode Available	1
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders	Dec 1, 2020	ClusteringDenoising	CodeCode Available	1
Locally Linear Embedding and its Variants: Tutorial and Survey	Nov 22, 2020	Dimensionality ReductionSurvey	CodeCode Available	1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection Algorithm	Oct 19, 2020	Decision MakingDimensionality Reduction	CodeCode Available	1
Understanding Information Processing in Human Brain by Interpreting Machine Learning Models	Oct 17, 2020	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
Less is more: Faster and better music version identification with embedding distillation	Oct 7, 2020	Dimensionality ReductionRetrieval	CodeCode Available	1
Perplexity-free Parametric t-SNE	Oct 3, 2020	Dimensionality Reduction	CodeCode Available	1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation	Oct 2, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1
Deep Learning of Individual Aesthetics	Sep 24, 2020	Deep LearningDimensionality Reduction	CodeCode Available	1
Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction	Sep 21, 2020	Dimensionality Reduction	CodeCode Available	1
Going Beyond T-SNE: Exposing whatlies in Text Embeddings	Sep 4, 2020	Dimensionality ReductionSentence	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