SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 171180 of 3304 papers

TitleStatusHype
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
Autoencoding with a Classifier SystemCode1
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation VectorsCode1
Distributional Principal AutoencodersCode1
Bayesian Optimization of Sampling Densities in MRICode1
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
Large-scale optimal transport map estimation using projection pursuitCode1
Generative Locally Linear EmbeddingCode1
Show:102550
← PrevPage 18 of 331Next →

Benchmark Results

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