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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 1151–1200 of 3304 papers

TitleStatusHype
A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data—0
Principal Geodesic Analysis of Merge Trees (and Persistence Diagrams)—0
Deep Sufficient Representation Learning via Mutual Information—0
CausNet : Generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraintsCode0
Natural language processing for clusterization of genes according to their functions—0
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation—0
Near-Linear Time and Fixed-Parameter Tractable Algorithms for Tensor Decompositions—0
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction—0
On the Selection of Tuning Parameters for Patch-Stitching Embedding Methods—0
Beam-Space MIMO Radar for Joint Communication and Sensing with OTFS Modulation—0
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution RegressionCode0
Horizontal and Vertical Attention in Transformers—0
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival PredictionCode0
Towards a More Rigorous Science of Blindspot Discovery in Image Classification ModelsCode1
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection—0
Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data—0
A Hybrid Approach for Binary Classification of Imbalanced Data—0
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs—0
UAEM-ITAM at SemEval-2022 Task 5: Vision-Language Approach to Recognize Misogynous Content in Memes—0
Local manifold learning and its link to domain-based physics knowledgeCode0
Extreme compression of sentence-transformer ranker models: faster inference, longer battery life, and less storage on edge devices—0
Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns—0
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition PathsCode1
Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects—0
Self-Supervised Training with Autoencoders for Visual Anomaly Detection—0
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets—0
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative LearningCode1
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation ApproachCode0
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion RecognitionCode0
Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements—0
GiDR-DUN; Gradient Dimensionality Reduction -- Differences and UnificationCode1
Regression of high dimensional angular momentum states of light—0
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data—0
DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction—0
Scalable Differentially Private Clustering via Hierarchically Separated Trees—0
Improved Gaussian-Bernoulli Restricted Boltzmann Machines for UAV-Ground Communication Systems—0
Bayesian Learning of Parameterised Quantum Circuits—0
ARES: Locally Adaptive Reconstruction-based Anomaly ScoringCode0
"Why Here and Not There?" -- Diverse Contrasting Explanations of Dimensionality ReductionCode0
Broadband Beamforming via Linear Embedding—0
FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector BundlesCode0
Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering—0
Evolutionary Echo State Network: evolving reservoirs in the Fourier space—0
Exploring Predictive States via Cantor Embeddings and Wasserstein Distance—0
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional RegressionCode0
CCP: Correlated Clustering and Projection for Dimensionality ReductionCode0
Few-Shot Learning by Dimensionality Reduction in Gradient SpaceCode1
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature RepresentationCode0
Click prediction boosting via Bayesian hyperparameter optimization based ensemble learning pipelines—0
Unifying Summary Statistic Selection for Approximate Bayesian ComputationCode0
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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