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Dimensionality Reduction

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

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Papers

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Showing 901–950 of 3304 papers

TitleStatusHype
Deep Compressed Learning for 3D Seismic Inversion—0
Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam PredictionCode0
Gauge-optimal approximate learning for small data classification problems—0
Low-Dimensional Gradient Helps Out-of-Distribution Detection—0
Neural Stress Fields for Reduced-order Elastoplasticity and Fracture—0
Instance-wise Linearization of Neural Network for Model Interpretation—0
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era—0
K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data Analysis—0
Layered Models can "Automatically" Regularize and Discover Low-Dimensional Structures via Feature LearningCode0
Noise-robust latent vector reconstruction in ptychography using deep generative models—0
Efficiently Visualizing Large GraphsCode0
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder—0
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations—0
Electrical Grid Anomaly Detection via Tensor Decomposition—0
Accelerating Vision Transformers Based on Heterogeneous Attention Patterns—0
Jaeger: A Concatenation-Based Multi-Transformer VQA Model—0
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification—0
Hybrid Quantum-Classical Machine Learning for Sentiment Analysis—0
Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy—0
Demystifying Embedding Spaces using Large Language Models—0
A Process for Topic Modelling Via Word Embeddings—0
Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics—0
Risk factor aggregation and stress testing—0
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses—0
Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning—0
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein—0
History Matching for Geological Carbon Storage using Data-Space Inversion with Spatio-Temporal Data Parameterization—0
Randomized Dimension Reduction with Statistical Guarantees—0
Subsurface Characterization using Ensemble-based Approaches with Deep Generative ModelsCode0
Statistical physics, Bayesian inference and neural information processing—0
Latent Dynamic Networked System Identification with High-Dimensional Networked Data—0
On the Power of SVD in the Stochastic Block Model—0
Cluster Exploration using Informative Manifold ProjectionsCode0
Only 5\% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation—0
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras—0
Robust Principal Component Analysis using Density Power Divergence—0
Elastic deep autoencoder for text embedding clustering by an improved graph regularization—0
CA-PCA: Manifold Dimension Estimation, Adapted for Curvature—0
Analysing race and sex bias in brain age prediction—0
O(k)-Equivariant Dimensionality Reduction on Stiefel ManifoldsCode0
Asteroids co-orbital motion classification based on Machine Learning—0
Metastatic Breast Cancer Prognostication Through Multimodal Integration of Dimensionality Reduction Algorithms and Classification Algorithms—0
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers—0
Noise-Augmented Boruta: The Neural Network Perturbation Infusion with Boruta Feature Selection—0
On the Use of the Kantorovich-Rubinstein Distance for Dimensionality Reduction—0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Bridging Dense and Sparse Maximum Inner Product Search—0
Supervised Stochastic Neighbor Embedding Using Contrastive LearningCode0
Massively-Parallel Heat Map Sorting and Applications To Explainable Clustering—0
Directed Scattering for Knowledge Graph-based Cellular Signaling 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