SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 5160 of 3304 papers

TitleStatusHype
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brainCode1
Deep Dimension Reduction for Supervised Representation LearningCode1
A local approach to parameter space reduction for regression and classification tasksCode1
Deep reconstruction of strange attractors from time seriesCode1
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionCode1
DefakeHop: A Light-Weight High-Performance Deepfake DetectorCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
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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