SOTAVerified

Dimensionality Reduction

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

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Papers

Showing 651700 of 3304 papers

TitleStatusHype
High-dimensional Bayesian optimization using low-dimensional feature spacesCode0
High-Dimensional Feature Selection for Genomic DatasetsCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
Linear and Quadratic Discriminant Analysis: TutorialCode0
ICA-based Resting-State Networks Obtained on Large Autism fMRI Dataset ABIDECode0
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal EffectsCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Computer-aided Interpretable Features for Leaf Image ClassificationCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Computer vision-based framework for extracting geological lineaments from optical remote sensing dataCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Improving text classification with vectors of reduced precisionCode0
Calibrating dimension reduction hyperparameters in the presence of noiseCode0
Incorporating dynamicity of transportation network with multi-weight traffic graph convolutional network for traffic forecastingCode0
Anticancer Peptides Classification using Kernel Sparse Representation ClassifierCode0
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block ModelsCode0
Caffe: Convolutional Architecture for Fast Feature EmbeddingCode0
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace LearningCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Dimension Reduction with Prior Information for Knowledge DiscoveryCode0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Interpretable and Compositional Relation Learning by Joint Training with an AutoencoderCode0
A Perturbation-Based Kernel Approximation FrameworkCode0
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