SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 3304 papers

TitleStatusHype
I-Con: A Unifying Framework for Representation Learning—0
MPAD: A New Dimension-Reduction Method for Preserving Nearest Neighbors in High-Dimensional Vector Search—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
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
InfoClus: Informative Clustering of High-dimensional Data Embeddings—0
On relative universality, regression operator, and conditional independence—0
Progressive Rock Music Classification—0
SPreV—0
An Incremental Non-Linear Manifold Approximation Method—0
PCA-RAG: Principal Component Analysis for Efficient Retrieval-Augmented Generation—0
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design—0
Dimension reduction for derivative-informed operator learning: An analysis of approximation errors—0
Hodge Laplacians and Hodge Diffusion Maps—0
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections—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
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks—0
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofingCode2
Show:102550
← PrevPage 4 of 133Next →
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