SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 676700 of 3304 papers

TitleStatusHype
Interpretable non-linear dimensionality reduction using gaussian weighted linear transformationCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
Interpreting LSTM Prediction on Solar Flare Eruption with Time-series ClusteringCode0
Introduction to Facial Micro Expressions Analysis Using Color and Depth Images: A Matlab Coding Approach (Second Edition, 2023)Code0
Inverse Kernel DecompositionCode0
Bubblewrap: Online tiling and real-time flow prediction on neural manifoldsCode0
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction AttackCode0
Derivative-enhanced Deep Operator NetworkCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarityCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
Layered Models can "Automatically" Regularize and Discover Low-Dimensional Structures via Feature LearningCode0
Contrastive Multiple Correspondence Analysis (cMCA): Using Contrastive Learning to Identify Latent Subgroups in Political PartiesCode0
Knowledge Base Index Compression via Dimensionality and Precision ReductionCode0
Augmentation Component Analysis: Modeling Similarity via the Augmentation OverlapsCode0
Control of ecological outcomes through deliberate parameter changes in a model of the gut microbiomeCode0
Language Model Training Paradigms for Clinical Feature EmbeddingsCode0
A comparison of correspondence analysis with PMI-based word embedding methodsCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid FlowCode0
Dimension Reduction and MARSCode0
DNN Feature Map Compression using Learned Representation over GF(2)Code0
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt PerspectiveCode0
Adversarial Robustness of VAEs across Intersectional SubgroupsCode0
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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