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 1651–1700 of 3304 papers

TitleStatusHype
Quantization Algorithms for Random Fourier Features—0
t-SNE, Forceful Colorings and Mean Field Limits—0
Learning-Augmented Sketches for Hessians—0
Theoretical Understandings of Product Embedding for E-commerce Machine Learning—0
Multi-Space Evolutionary Search for Large-Scale Optimization—0
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized AutoencodersCode0
A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution—0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
Joint Characterization of Multiscale Information in High Dimensional Data—0
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation—0
Random Projections for Improved Adversarial Robustness—0
DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning—0
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoderCode0
Unsupervised Ground Metric Learning using Wasserstein Singular VectorsCode1
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)—0
Communication-efficient k-Means for Edge-based Machine Learning—0
RaSE: A Variable Screening Framework via Random Subspace EnsemblesCode0
Direction and Constraint in Phenotypic Evolution: Dimension Reduction and Global Proportionality in Phenotype Fluctuation and Responses—0
Robust Principal Component Analysis: A Median of Means Approach—0
Matrix Decomposition on Graphs: A Functional View—0
OmiEmbed: a unified multi-task deep learning framework for multi-omics dataCode1
Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing—0
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring—0
[Re] Explaining Groups of Points in Low-Dimensional RepresentationsCode0
Exploring the Geometry and Topology of Neural Network Loss Landscapes—0
Spike and slab Bayesian sparse principal component analysis—0
Reduced operator inference for nonlinear partial differential equationsCode1
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis—0
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition—0
Accuracy and Privacy Evaluations of Collaborative Data Analysis—0
FDApy: a Python package for functional dataCode1
Contrastive analysis for scatterplot-based representations of dimensionality reduction—0
Probability distributions for analog-to-target distances—0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Novel Recording Studio Features for Music Information Retrieval—0
Domain-Dependent Speaker Diarization for the Third DIHARD Challenge—0
Feature Selection Using Reinforcement Learning—0
Machine Learning in LiDAR 3D point clouds—0
Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?—0
Sparsistent filtering of comovement networks from high-dimensional data—0
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brainCode1
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders—0
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction—0
Multi-view Data Visualisation via Manifold LearningCode0
Generalized Image Reconstruction over T-AlgebraCode0
Multi-point dimensionality reduction to improve projection layout reliability—0
Entangled Kernels -- Beyond Separability—0
Physics-aware, probabilistic model order reduction with guaranteed stability—0
Joint Dimensionality Reduction for Separable Embedding Estimation—0
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI—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