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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 1751–1800 of 3304 papers

TitleStatusHype
YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network—0
Consistent Representation Learning for High Dimensional Data Analysis—0
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for AutoencodersCode1
Learning Feature Sparse Principal SubspaceCode0
Learning sparse codes from compressed representations with biologically plausible local wiring constraintsCode0
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction—0
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies ReconstructionCode0
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform—0
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction—0
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit—0
Blind signal decomposition of various word embeddings based on join and individual variance explained—0
t-EVA: Time-Efficient t-SNE Video Annotation—0
Gaussian Process Latent Variable Flows for Massively Missing Data—0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Manifold Partition Discriminant Analysis—0
Locally Linear Embedding and its Variants: Tutorial and SurveyCode1
Angular Embedding: A New Angular Robust Principal Component Analysis—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
Optimizing Offer Sets in Sub-Linear Time—0
Strong and weak principles of neural dimension reduction—0
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code—0
Functorial Manifold Learning—0
Interpretable Visualization and Higher-Order Dimension Reduction for ECoG DataCode0
An efficient label-free analyte detection algorithm for time-resolved spectroscopy—0
TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks—0
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations—0
Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks—0
Binary Matrix Factorisation via Column Generation—0
Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women—0
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient DescentCode0
Wheat Crop Yield Prediction Using Deep LSTM Model—0
Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process—0
Fuzzy Pooling—0
Going Beyond T-SNE: Exposing whatlies in Text Embeddings—0
Towards Measuring Place Function Similarity at Fine Spatial Granularity with Trajectory Embedding—0
RRScell method for automated single-cell profiling of multiplexed immunofluorescence cancer tissue—0
The Mathematical Foundations of Manifold Learning—0
Deep generative LDACode0
Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection—0
Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques—0
Deep Manifold Transformation for Nonlinear Dimensionality Reduction—0
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder—0
Nested Grassmannians for Dimensionality Reduction with ApplicationsCode0
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer—0
Geometry-Aware Hamiltonian Variational Auto-Encoder—0
Tensor Train Random Projection—0
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks—0
Sufficient dimension reduction for classification using principal optimal transport directionCode0
Product Manifold LearningCode0
Statistical guarantees for generative models without domination—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