SOTAVerified

Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2801–2850 of 3304 papers

TitleStatusHype
Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis—0
Auto-Detection of Safety Issues in Baby Products—0
Autoencoder Enhanced Realised GARCH on Volatility Forecasting—0
Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets—0
Autoencoding topology—0
Autoencoding with a Learning Classifier System: Initial Results—0
Automated Anomaly Detection on European XFEL Klystrons—0
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
Automated Disease Normalization with Low Rank Approximations—0
Automatic Collection Creation and Recommendation—0
Automatic dimensionality reduction of Twin-in-the-Loop Observers—0
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference—0
Automatic Debiased Estimation with Machine Learning-Generated Regressors—0
Automatic Prediction of the Performance of Every Parser—0
Automatic Selection of t-SNE Perplexity—0
Autonomous Collaborative Scheduling of Time-dependent UAVs, Workers and Vehicles for Crowdsensing in Disaster Response—0
Autonomous Dimension Reduction by Flattening Deformation of Data Manifold under an Intrinsic Deforming Field—0
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents—0
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images—0
Auto-weighted Mutli-view Sparse Reconstructive Embedding—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—0
AVIDA: Alternating method for Visualizing and Integrating Data—0
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction—0
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration—0
A Wasserstein perspective of Vanilla GANs—0
A Wavelet Diffusion GAN for Image Super-Resolution—0
A witness function based construction of discriminative models using Hermite polynomials—0
Bayesian Calibration for Activity Based Models—0
Bayesian Compressed Regression—0
Bayesian Data Sketching for Varying Coefficient Regression Models—0
Bayesian Exponential Family PCA—0
Bayesian full waveform inversion with sequential surrogate model refinement—0
Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction—0
Bayesian Inverse Problems with Conditional Sinkhorn Generative Adversarial Networks in Least Volume Latent Spaces—0
Bayesian inverse regression for dimension reduction with small datasets—0
Bayesian Learning of Dynamic Multilayer Networks—0
Bayesian Learning of Parameterised Quantum Circuits—0
Bayesian model and dimension reduction for uncertainty propagation: applications in random media—0
Bayesian neural networks and dimensionality reduction—0
Bayesian nonparametric Principal Component Analysis—0
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design—0
BDEC:Brain Deep Embedded Clustering model—0
Beam-Space MIMO Radar for Joint Communication and Sensing with OTFS Modulation—0
Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction—0
Benchmarking the Effectiveness of Classification Algorithms and SVM Kernels for Dry Beans—0
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction—0
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations—0
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs—0
BEYONDWORDS is All You Need: Agentic Generative AI based Social Media Themes Extractor—0
Beyond Worst-Case Dimensionality Reduction for Sparse Vectors—0
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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