SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 701750 of 3304 papers

TitleStatusHype
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Bubblewrap: Online tiling and real-time flow prediction on neural manifoldsCode0
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity AnalysisCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction MethodCode0
Local manifold learning and its link to domain-based physics knowledgeCode0
Long-term Conversation Analysis: Exploring Utility and PrivacyCode0
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable ModelsCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstructionCode0
Machine learning discovery of new phases in programmable quantum simulator snapshotsCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
A comparison of correspondence analysis with PMI-based word embedding methodsCode0
Approximate Bayesian Computation with Domain Expert in the LoopCode0
Manifold learning with arbitrary normsCode0
Matrix factorisation and the interpretation of geodesic distanceCode0
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave GlitchesCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation ApproachCode0
Dimension Reduction and MARSCode0
Distributed Lyapunov Functions for Nonlinear NetworksCode0
Efficient Manifold and Subspace Approximations with SphereletsCode0
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
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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