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 2251–2300 of 3304 papers

TitleStatusHype
Ligand-induced protein dynamics differences correlate with protein-ligand binding affinities: An unsupervised deep learning approach—0
Lightweight feature encoder for wake-up word detection based on self-supervised speech representation—0
Lightweight Model for Poultry Disease Detection from Fecal Images Using Multi-Color Space Feature Optimization and Machine Learning—0
Lightweight Modeling of User Context Combining Physical and Virtual Sensor Data—0
Optimal Iterative Sketching with the Subsampled Randomized Hadamard Transform—0
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings—0
Linear Contour Learning: A Method for Supervised Dimension Reduction—0
Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints—0
Linear Dimensionality Reduction in Linear Time: Johnson-Lindenstrauss-type Guarantees for Random Subspace—0
Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds—0
Linearized Wasserstein dimensionality reduction with approximation guarantees—0
Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction—0
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes—0
Linear normalised hash function for clustering gene sequences and identifying reference sequences from multiple sequence alignments—0
Linear Tensor Projection Revealing Nonlinearity—0
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation—0
LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI—0
Local Averaging Accurately Distills Manifold Structure From Noisy Data—0
Local Deep-Feature Alignment for Unsupervised Dimension Reduction—0
Local Fisher Discriminant Analysis for Pedestrian Re-identification—0
Local High-order Regularization on Data Manifolds—0
Locality and low-dimensions in the prediction of natural experience from fMRI—0
Locality preserving projection on SPD matrix Lie group: algorithm and analysis—0
Locality Preserving Projections for Grassmann manifold—0
Localized Sliced Inverse Regression—0
Localizing Persona Representations in LLMs—0
Locally Differentially Private Naive Bayes Classification—0
Locally Linear Embedding and fMRI feature selection in psychiatric classification—0
Locally Linear Unsupervised Feature Selection—0
Local Neighbor Propagation Embedding—0
Local Shrunk Discriminant Analysis (LSDA)—0
Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval—0
Logical Interpretations of Autoencoders—0
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based ROMs—0
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models—0
Lossless KV Cache Compression to 2%—0
Low-complexity 8-point DCT Approximation Based on Angle Similarity for Image and Video Coding—0
Low-complexity Point Cloud Filtering for LiDAR by PCA-based Dimension Reduction—0
Low-complexity Rounded KLT Approximation for Image Compression—0
Low-dimensional approximations of the conditional law of Volterra processes: a non-positive curvature approach—0
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction—0
Low Dimensional Dynamics of Globally Coupled Complex Riccati Equations: Exact Firing-rate Equations for Spiking Neurons with Clustered Substructure—0
Low-Dimensional Gradient Helps Out-of-Distribution Detection—0
Low-Dimensional Representation-Driven TSK Fuzzy System for Feature Selection—0
Near-Linear Time and Fixed-Parameter Tractable Algorithms for Tensor Decompositions—0
Low-Rank Boolean Matrix Approximation by Integer Programming—0
Low-Rank Isomap Algorithm—0
Low-Rank Nonlinear Decoding of μ-ECoG from the Primary Auditory Cortex—0
Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling—0
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack—0
Show:102550
← PrevPage 46 of 67Next →
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