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 201–225 of 3304 papers

Title	Date	Tasks	Status	Hype
Dimensionality reduction to maximize prediction generalization capability	Mar 1, 2020	Dimensionality ReductionPrediction	CodeCode Available	1
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections	Feb 17, 2020	Dimensionality Reduction	CodeCode Available	1
Deep reconstruction of strange attractors from time series	Feb 14, 2020	Dimensionality ReductionTime Series	CodeCode Available	1
Molecular Insights from Conformational Ensembles via Machine Learning	Feb 4, 2020	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
NCVis: Noise Contrastive Approach for Scalable Visualization	Jan 30, 2020	Data VisualizationDimensionality Reduction	CodeCode Available	1
Unifying Deep Local and Global Features for Image Search	Jan 14, 2020	Dimensionality ReductionImage Retrieval	CodeCode Available	1
Autoencoding with a Classifier System	Oct 23, 2019	DecoderDimensionality Reduction	CodeCode Available	1
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction	Sep 19, 2019	Dimensionality Reduction	CodeCode Available	1
Fast and Accurate Network Embeddings via Very Sparse Random Projection	Aug 30, 2019	Dimensionality ReductionNetwork Embedding	CodeCode Available	1
Adapting Text Embeddings for Causal Inference	May 29, 2019	Causal IdentificationCausal Inference	CodeCode Available	1
Text Classification Algorithms: A Survey	Apr 17, 2019	BIG-bench Machine LearningClassification	CodeCode Available	1
Learning the dynamics of technical trading strategies	Mar 6, 2019	Dimensionality ReductionTime Series	CodeCode Available	1
Deep active subspaces - a scalable method for high-dimensional uncertainty propagation	Feb 27, 2019	Dimensionality ReductionUncertainty Quantification	CodeCode Available	1
catch22: CAnonical Time-series CHaracteristics	Jan 29, 2019	ClassificationClustering	CodeCode Available	1
Unsupervised speech representation learning using WaveNet autoencoders	Jan 25, 2019	Acoustic Unit DiscoveryDecoder	CodeCode Available	1
CatBoost: gradient boosting with categorical features support	Oct 24, 2018	ClusteringCPU	CodeCode Available	1
Hartley Spectral Pooling for Deep Learning	Oct 7, 2018	Deep LearningDimensionality Reduction	CodeCode Available	1
ManifoldNet: A Deep Network Framework for Manifold-valued Data	Sep 11, 2018	Dimensionality Reduction	CodeCode Available	1
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction	Feb 9, 2018	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
Learning Wasserstein Embeddings	Oct 20, 2017	DecoderDimensionality Reduction	CodeCode Available	1
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings	Mar 2, 2017	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
Predicting Pairwise Relations with Neural Similarity Encoders	Feb 6, 2017	Collaborative FilteringDimensionality Reduction	CodeCode Available	1
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering	Oct 15, 2016	ClusteringDeep Learning	CodeCode Available	1
Quantum Algorithms for Compositional Natural Language Processing	Aug 4, 2016	Dimensionality Reduction	CodeCode Available	1
A Primer on the Signature Method in Machine Learning	Mar 11, 2016	BIG-bench Machine LearningDimensionality 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