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 176–200 of 3304 papers

Title	Date	Tasks	Status	Hype
Improving the HardNet Descriptor	Jul 19, 2020	Dimensionality ReductionImage Retrieval	CodeCode Available	1
Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data	Jul 7, 2020	ClusteringData Visualization	CodeCode Available	1
A New Basis for Sparse Principal Component Analysis	Jul 1, 2020	ClusteringDimensionality Reduction	CodeCode Available	1
Physics-aware registration based auto-encoder for convection dominated PDEs	Jun 28, 2020	Dimensionality Reduction	CodeCode Available	1
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors	Jun 27, 2020	ClusteringDimensionality Reduction	CodeCode Available	1
The Signature Kernel is the solution of a Goursat PDE	Jun 26, 2020	Dimensionality ReductionGPU	CodeCode Available	1
Neural Decomposition: Functional ANOVA with Variational Autoencoders	Jun 25, 2020	DecoderDimensionality Reduction	CodeCode Available	1
Extracting the main trend in a dataset: the Sequencer algorithm	Jun 24, 2020	AstronomyDimensionality Reduction	CodeCode Available	1
Latent variable modeling with random features	Jun 19, 2020	Dimensionality Reduction	CodeCode Available	1
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling	Jun 18, 2020	Dimensionality ReductionPosition	CodeCode Available	1
Markov-Lipschitz Deep Learning	Jun 15, 2020	Deep LearningDimensionality Reduction	CodeCode Available	1
Deep Dimension Reduction for Supervised Representation Learning	Jun 10, 2020	Dimensionality ReductionDisentanglement	CodeCode Available	1
DartMinHash: Fast Sketching for Weighted Sets	May 23, 2020	Dimensionality Reduction	CodeCode Available	1
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation	May 14, 2020	Dimensionality ReductionImage Retrieval	CodeCode Available	1
Fast Network Embedding Enhancement via High Order Proximity Approximation	May 13, 2020	Dimensionality ReductionLink Prediction	CodeCode Available	1
Renormalized Mutual Information for Artificial Scientific Discovery	May 4, 2020	Dimensionality Reductionscientific discovery	CodeCode Available	1
On time series representations for multi-label NILM	May 2, 2020	Dimensionality ReductionNon-Intrusive Load Monitoring	CodeCode Available	1
Sign Bits Are All You Need for Black-Box Attacks	May 1, 2020	Adversarial AttackAll	CodeCode Available	1
BayesOpt Adversarial Attack	May 1, 2020	Adversarial AttackBayesian Optimisation	CodeCode Available	1
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!	Apr 30, 2020	ClusteringDimensionality Reduction	CodeCode Available	1
Flows for simultaneous manifold learning and density estimation	Mar 31, 2020	DenoisingDensity Estimation	CodeCode Available	1
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection	Mar 11, 2020	Dimensionality ReductionFraud Detection	CodeCode Available	1
Supervised Domain Adaptation using Graph Embedding	Mar 9, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders	Mar 6, 2020	ClusteringDecoder	CodeCode Available	1
Dimensionality reduction to maximize prediction generalization capability	Mar 1, 2020	Dimensionality ReductionPrediction	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