SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 2751–2800 of 3304 papers

TitleStatusHype
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
PixelHop: A Successive Subspace Learning (SSL) Method for Object ClassificationCode0
Speeding up astrochemical reaction networks with autoencoders and neural ODEsCode0
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMsCode0
Image Similarity using An Ensemble of Context-Sensitive ModelsCode0
Image Super-resolution via Feature-augmented Random ForestCode0
Completing partial recipes using item-based collaborative filtering to recommend ingredientsCode0
PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data AnalysisCode0
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian InferenceCode0
Bayesian Non-linear Latent Variable Modeling via Random Fourier FeaturesCode0
Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam PredictionCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate DataCode0
Encoding large information structures in linear algebra and statistical modelsCode0
Manifold Fitting under Unbounded NoiseCode0
Spherical Rotation Dimension Reduction with Geometric Loss FunctionsCode0
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot LayoutsCode0
Bayesian Non-stationary Linear Bandits for Large-Scale Recommender SystemsCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from SimulationsCode0
Linear and Quadratic Discriminant Analysis: TutorialCode0
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensionsCode0
Tracking the topology of neural manifolds across populationsCode0
Distributed Lyapunov Functions for Nonlinear NetworksCode0
Derivative-enhanced Deep Operator NetworkCode0
Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier featuresCode0
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly DetectionCode0
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder ApproachCode0
Practical considerations for variable screening in the super learnerCode0
Distributionally Robust Optimization with Markovian DataCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
CNTK: Microsoft's Open-Source Deep-Learning ToolkitCode0
Practical Hash Functions for Similarity Estimation and Dimensionality ReductionCode0
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice SeparationCode0
SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different LanguagesCode0
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and ClassificationCode0
Improving text classification with vectors of reduced precisionCode0
Degradation Modeling and Prognostic Analysis Under Unknown Failure ModesCode0
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object DetectionCode0
Deep Temporal Clustering: Fully unsupervised learning of time-domain featuresCode0
The Fast Johnson-Lindenstrauss Transform is Even FasterCode0
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency RepresentationCode0
DNN Feature Map Compression using Learned Representation over GF(2)Code0
Scalable Geometric Learning with Correlation-Based Functional Brain NetworksCode0
Predicting Fatigue Crack Growth via Path Slicing and Re-WeightingCode0
SqueezeFit: Label-aware dimensionality reduction by semidefinite programmingCode0
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and SurveyCode0
Visualization of Emergency Department Clinical Data for Interpretable Patient PhenotypingCode0
Bayesian latent structure discovery from multi-neuron recordingsCode0
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All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified