SOTAVerified

Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

Showing 20212030 of 3304 papers

TitleStatusHype
Understanding Aesthetic Evaluation using Deep Learning0
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer0
Estimating a Brain Network Predictive of Stress and Genotype with Supervised AutoencodersCode0
Latent regularization for feature selection using kernel methods in tumor classificationCode0
TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural NetworksCode0
Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach0
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese NetworksCode0
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems0
Backprojection for Training Feedforward Neural Networks in the Input and Feature SpacesCode0
DNA Methylation Data to Predict Suicidal and Non-Suicidal Deaths: A Machine Learning Approach0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified