SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 651–700 of 3304 papers

TitleStatusHype
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
Featurizing Koopman Mode Decomposition For Robust ForecastingCode0
RdimKD: Generic Distillation Paradigm by Dimensionality Reduction—0
High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring—0
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization—0
Federated Multilinear Principal Component Analysis with Applications in Prognostics—0
Speeding up astrochemical reaction networks with autoencoders and neural ODEsCode0
A quantitative fusion strategy of stock picking and timing based on Particle Swarm Optimized-Back Propagation Neural Network and Multivariate Gaussian-Hidden Markov Model—0
Economic Forecasts Using Many Noises—0
A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion—0
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood AnalysisCode0
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems—0
Interpretability Illusions in the Generalization of Simplified Models—0
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees—0
Dimensionality Reduction and Dynamical Mode Recognition of Circular Arrays of Flame Oscillators Using Deep Neural Network—0
Calibrating dimension reduction hyperparameters in the presence of noiseCode0
Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm—0
Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix—0
A ripple in time: a discontinuity in American historyCode0
Defining Reference Sequences for Nocardia Species by Similarity and Clustering Analyses of 16S rRNA Gene Sequence Data—0
Linear normalised hash function for clustering gene sequences and identifying reference sequences from multiple sequence alignments—0
Metric Space Magnitude for Evaluating the Diversity of Latent RepresentationsCode1
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using dMRI Tractography—0
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
Unsupervised Learning for Topological Classification of Transportation Networks—0
Detection and Identification Accuracy of PCA-Accelerated Real-Time Processing of Hyperspectral Imagery—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG-Based BCIsCode0
Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes—0
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches—0
Bounds on Representation-Induced Confounding Bias for Treatment Effect EstimationCode0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
An Improved CNN-based Neural Network Model for Fruit Sugar Level Detection—0
Classification Methods Based on Machine Learning for the Analysis of Fetal Health Data—0
Handling Overlapping Asymmetric Datasets -- A Twice Penalized P-Spline Approach—0
Utilizing VQ-VAE for End-to-End Health Indicator Generation in Predicting Rolling Bearing RUL—0
Finding Real-World Orbital Motion Laws from Data—0
From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning—0
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images—0
The optimal resolution level of a protein is an emergent property of its structure and dynamicsCode0
Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized methodCode0
High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables—0
Cricket Player Profiling: Unraveling Strengths and Weaknesses Using Text Commentary Data—0
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent—0
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraftCode2
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications—0
Perfecting Liquid-State Theories with Machine Intelligence—0
Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative ValuesCode0
Computing Approximate _p Sensitivities—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