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 301–350 of 3304 papers

TitleStatusHype
MPAD: A New Dimension-Reduction Method for Preserving Nearest Neighbors in High-Dimensional Vector Search—0
I-Con: A Unifying Framework for Representation Learning—0
Online model learning with data-assimilated reservoir computers—0
A Graph Based Raman Spectral Processing Technique for Exosome Classification—0
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder—0
Word Embedding Techniques for Classification of Star Ratings—0
DIDS: Domain Impact-aware Data Sampling for Large Language Model Training—0
A Survey on Archetypal Analysis—0
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis—0
InfoClus: Informative Clustering of High-dimensional Data Embeddings—0
Effective dimensionality reduction for Greeks computation using Randomized QMC—0
Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observationsCode0
Progressive Rock Music Classification—0
On relative universality, regression operator, and conditional independence—0
SPreV—0
An Incremental Non-Linear Manifold Approximation Method—0
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design—0
PCA-RAG: Principal Component Analysis for Efficient Retrieval-Augmented Generation—0
Dimension reduction for derivative-informed operator learning: An analysis of approximation errors—0
Hodge Laplacians and Hodge Diffusion Maps—0
Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models—0
Adaptive Locally Linear Embedding—0
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections—0
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks—0
Machine Learning Reveals Composition Dependent Thermal Stability in Halide Perovskites—0
Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms—0
Dimensionality reduction for k-means clustering of large-scale influenza mutation datasets—0
Grammar-based Ordinary Differential Equation Discovery—0
Measuring the Data—0
Global explainability of a deep abstaining classifier—0
Scalable Geometric Learning with Correlation-Based Functional Brain NetworksCode0
Graph Transformer-Based Flood Susceptibility Mapping: Application to the French Riviera and Railway Infrastructure Under Climate Change—0
Data-Driven Forecasting of High-Dimensional Transient and Stationary Processes via Space-Time Projection—0
Solve sparse PCA problem by employing Hamiltonian system and leapfrog method—0
Unsupervised Learning: Comparative Analysis of Clustering Techniques on High-Dimensional Data—0
Rerouting Connection: Hybrid Computer Vision Analysis Reveals Visual Similarity Between Indus and Tibetan-Yi Corridor Writing SystemsCode0
Tracking the topology of neural manifolds across populationsCode0
Interpretable dimensionality reduction using weighted linear transformationCode0
Model-free Vehicle Rollover Prevention: A Data-driven Predictive Control Approach—0
3D Structural Phenotype of the Optic Nerve Head at the Intersection of Glaucoma and Myopia - A Key to Improving Glaucoma Diagnosis in Myopic Populations—0
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and EmbeddingCode0
Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas—0
Scalable physics-informed deep generative model for solving forward and inverse stochastic differential equations—0
Principal Component Analysis When n < p: Challenges and Solutions—0
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement—0
Manifold learning in metric spacesCode0
Exploring the Limits of KV Cache Compression in Visual Autoregressive Transformers—0
C(NN)FD -- Deep Learning Modelling of Multi-Stage Axial Compressors Aerodynamics—0
A Convex formulation for linear discriminant analysis—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