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 1301–1350 of 3304 papers

TitleStatusHype
Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization—0
FastSVD-ML-ROM: A Reduced-Order Modeling Framework based on Machine Learning for Real-Time Applications—0
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling—0
Principal Geodesic Analysis of Merge Trees (and Persistence Diagrams)—0
A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data—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
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
Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects—0
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets—0
Self-Supervised Training with Autoencoders for Visual Anomaly Detection—0
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion RecognitionCode0
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation ApproachCode0
Regression of high dimensional angular momentum states of light—0
Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements—0
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data—0
Scalable Differentially Private Clustering via Hierarchically Separated Trees—0
DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction—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
CCP: Correlated Clustering and Projection for Dimensionality ReductionCode0
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional RegressionCode0
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
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces—0
Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity—0
Show:102550
← PrevPage 27 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