SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 501–550 of 3304 papers

TitleStatusHype
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models—0
Iterative Cluster Harvesting for Wafer Map Defect Patterns—0
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave GlitchesCode0
Variational Bayesian surrogate modelling with application to robust design optimisation—0
Distributional Principal AutoencodersCode1
Explainable Light-Weight Deep Learning Pipeline for Improved Drought Stress Identification—0
Quiver Laplacians and Feature SelectionCode0
Formation-Controlled Dimensionality Reduction—0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph EmbeddingCode1
Variational Bayesian Optimal Experimental Design with Normalizing Flows—0
On Computational Modeling of Sleep-Wake Cycle—0
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference—0
Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling—0
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging—0
Human Activity Recognition using Smartphones—0
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds—0
Remote sensing framework for geological mapping via stacked autoencoders and clusteringCode1
Preventing Model Collapse in Gaussian Process Latent Variable ModelsCode0
On the reduction of Linear Parameter-Varying State-Space models—0
Comparison of Methods in Skin Pigment Decomposition—0
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object DetectionCode0
Enhancing Dimension-Reduced Scatter Plots with Class and Feature CentroidsCode0
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering—0
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach—0
Uncovering Temporal Patterns in Visualizations of High-Dimensional Data—0
Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons—0
Representatividad Muestral en la Incertidumbre Simétrica Multivariada para la Selección de Atributos—0
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation ModelsCode0
Targeted Visualization of the Backbone of Encoder LLMsCode1
Assessing the similarity of real matrices with arbitrary shapeCode0
S+t-SNE -- Bringing Dimensionality Reduction to Data StreamsCode0
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data—0
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking SystemsCode1
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer CompressionCode1
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets—0
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems—0
Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain—0
A Wasserstein perspective of Vanilla GANs—0
Infrastructure-Assisted Collaborative Perception in Automated Valet Parking: A Safety Perspective—0
Text Clustering with Large Language Model Embeddings—0
GCN-DevLSTM: Path Development for Skeleton-Based Action RecognitionCode1
Curvature Augmented Manifold Embedding and LearningCode0
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings—0
Temporally-Consistent Koopman Autoencoders for Forecasting Dynamical Systems—0
Discover and Mitigate Multiple Biased Subgroups in Image ClassifiersCode2
Light Curve Classification with DistClassiPy: a new distance-based classifierCode1
Graph Regularized NMF with L20-norm for Unsupervised Feature Learning—0
Enhancing IoT Security Against DDoS Attacks through Federated Learning—0
SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different LanguagesCode0
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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