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 201–250 of 3304 papers

TitleStatusHype
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer CompressionCode1
On time series representations for multi-label NILMCode1
A local approach to parameter space reduction for regression and classification tasksCode1
Path Development Network with Finite-dimensional Lie Group RepresentationCode1
Perplexity-free Parametric t-SNECode1
PhyloProfile v2 -- Exploring multi-layered phylogenetic profiles at scaleCode1
Curvature-based Feature Selection with Application in Classifying Electronic Health RecordsCode1
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningCode1
Quantifying Extrinsic Curvature in Neural ManifoldsCode1
Quantum Algorithms for Compositional Natural Language ProcessingCode1
Reduced operator inference for nonlinear partial differential equationsCode1
Reduced Order Modeling with Shallow Recurrent Decoder NetworksCode1
Light Curve Classification with DistClassiPy: a new distance-based classifierCode1
Rethinking Spatial Dimensions of Vision TransformersCode1
Risk of Bias in Chest Radiography Deep Learning Foundation ModelsCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOMCode1
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph EmbeddingCode1
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate CurvatureCode1
SKFAC:Training Neural Networks with Faster Kronecker-Factored Approximate CurvatureCode1
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time SeriesCode1
Spectral Clustering of Attributed Multi-relational GraphsCode1
Supervised Domain Adaptation using Graph EmbeddingCode1
Symplectic Autoencoders for Model Reduction of Hamiltonian SystemsCode1
Tensor Canonical Correlation Analysis for Multi-view Dimension ReductionCode1
Text Classification Algorithms: A SurveyCode1
The Unreasonable Effectiveness of Structured Random Orthogonal EmbeddingsCode1
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data—0
A Discussion On the Validity of Manifold Learning—0
Feature Clock: High-Dimensional Effects in Two-Dimensional Plots—0
A dimensionality reduction technique based on the Gromov-Wasserstein distance—0
A cognitive based Intrusion detection system—0
An Introduction to Autoencoders—0
An Investigation of Newton-Sketch and Subsampled Newton Methods—0
3D Structural Phenotype of the Optic Nerve Head at the Intersection of Glaucoma and Myopia - A Key to Improving Glaucoma Diagnosis in Myopic Populations—0
A Dimensionality Reduction Approach for Convolutional Neural Networks—0
Visualization of AE's Training on Credit Card Transactions with Persistent Homology—0
Analysing race and sex bias in brain age prediction—0
Analyse en Composante Principale pour l'extraction des i-vecteurs en v\'erification du locuteur (Principal Component Analysis for i-vector extraction in speaker verification.) [in French]—0
A determinantal point process for column subset selection—0
A description length approach to determining the number of k-means clusters—0
Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm—0
Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization—0
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images—0
Analysis of Evolving Cortical Neuronal Networks Using Visual Informatics—0
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence—0
Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance—0
ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning—0
An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems—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