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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 141–150 of 3304 papers

Title	Date	Tasks	Status	Hype
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms	Apr 22, 2021	Dimensionality ReductionTranslation	CodeCode Available	1
ProsoBeast Prosody Annotation Tool	Apr 6, 2021	Dimensionality Reduction	CodeCode Available	1
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations	Apr 6, 2021	Decision MakingDimensionality Reduction	CodeCode Available	1
Generative Locally Linear Embedding	Apr 4, 2021	Dimensionality ReductionVariational Inference	CodeCode Available	1
Rethinking Spatial Dimensions of Vision Transformers	Mar 30, 2021	Dimensionality Reductionimage-classification	CodeCode Available	1
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration	Mar 23, 2021	Adversarial RobustnessDimensionality Reduction	CodeCode Available	1
Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces	Mar 20, 2021	Dimensionality Reduction	CodeCode Available	1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation	Mar 20, 2021	Dimensionality ReductionNavigate	CodeCode Available	1
Revisiting Dynamic Convolution via Matrix Decomposition	Mar 15, 2021	Dimensionality Reduction	CodeCode Available	1
R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method	Mar 15, 2021	AttributeDimensionality 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