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
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series ForecastingCode1
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language ModelsCode1
From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic CommunicationCode1
Approximating Likelihood Ratios with Calibrated Discriminative ClassifiersCode1
ATD: Augmenting CP Tensor Decomposition by Self SupervisionCode1
Going Beyond T-SNE: Exposing whatlies in Text EmbeddingsCode1
Hartley Spectral Pooling for Deep LearningCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
The Signature Kernel is the solution of a Goursat PDECode1
Distributional Principal AutoencodersCode1
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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