SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 726750 of 3304 papers

TitleStatusHype
Adversarial Robustness of VAEs across Intersectional SubgroupsCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
A Practical Algorithm for Topic Modeling with Provable GuaranteesCode0
Mixtures of Skewed Matrix Variate Bilinear Factor AnalyzersCode0
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clusteringCode0
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMsCode0
Beyond the Nucleus: Cytoplasmic Dominance in Follicular Thyroid Carcinoma Detection Using Single-Cell Raman Imaging Across Multiple DevicesCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Bounds on Representation-Induced Confounding Bias for Treatment Effect EstimationCode0
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial LibrariesCode0
Adversarially-Trained Nonnegative Matrix FactorizationCode0
Multiscale Principle of Relevant Information for Hyperspectral Image ClassificationCode0
Derivative-enhanced Deep Operator NetworkCode0
GP-VAE: Deep Probabilistic Time Series ImputationCode0
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record DataCode0
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
Network Representation Learning: Consolidation and Renewed BearingCode0
Degradation Modeling and Prognostic Analysis Under Unknown Failure ModesCode0
Data Mapping and Finite Difference LearningCode0
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain FeaturesCode0
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline TimepointCode0
Show:102550
← PrevPage 30 of 133Next →

Benchmark Results

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