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Dimensionality Reduction

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하위 태스크: 2
평가표: 2
보존된 평가 기록: 6

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

<span style="color:grey; opacity: 0.6">( Image credit: openTSNE )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/GabMartino/icrst_trst_autoencoder

공식 코드

Are We Using Autoencoders in a Wrong Way?

https://github.com/GatorSense/DREN

공식 코드

Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification

https://github.com/GuilhermePelegrina/mofpca

공식 코드

Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization

https://github.com/HHalva/snica

공식 코드

Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA

https://github.com/HITS-AIN/Spherinator

공식 코드

Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations

https://github.com/HS-Ansbach-CCS/dyca

공식 코드

Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges

https://github.com/HanbaekLyu/OnlineCPDL

공식 코드

Online nonnegative CP-dictionary learning for Markovian data

https://github.com/HarlandZZC/deep_nuclei_parcellation

공식 코드

DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography

https://github.com/HarleyHK/FARF

공식 코드

Image Super-resolution via Feature-augmented Random Forest

https://github.com/HazyResearch/HoroPCA

공식 코드

Principal Component Analysis in Space Forms

https://github.com/HerrMo/fda-ndr

공식 코드

Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction

https://github.com/IBM/pylspack

공식 코드

Estimating leverage scores via rank revealing methods and randomization

https://github.com/ImperialCollegeLondon/polymer_blend_morphology

공식 코드

Numerical simulation, clustering and prediction of multi-component polymer precipitation

https://github.com/IntelLabs/ScalableVectorSearch

공식 코드

LeanVec: Searching vectors faster by making them fit

https://github.com/Itomeo/QAPCA

공식 코드

Quantum Annealing for Robust Principal Component Analysis

https://github.com/JSongLab/SDR_HC

공식 코드

Enhancing Sufficient Dimension Reduction via Hellinger Correlation

https://github.com/Jianbo-Lab/CCM

공식 코드

Kernel Feature Selection via Conditional Covariance Minimization

https://github.com/JiaxiHe/Image-and-Video-Dehazing

공식 코드

Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization

https://github.com/JinyuanChang-Lab/PenalizedELwithDependentData

공식 코드

Empirical likelihood approach for high-dimensional moment restrictions with dependent data

https://github.com/JonathanJohann/lmds

공식 코드

Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics

https://github.com/JunhuiShen/Fair-PCA-via-EigOpt

공식 코드

Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization

https://github.com/KLu9812/MDSPlus

공식 코드

Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms

https://github.com/KimGroup/QGasML

공식 코드

Machine learning discovery of new phases in programmable quantum simulator snapshots

https://github.com/KiranSmelser/stress-metrics-and-scale

공식 코드

"Normalized Stress" is Not Normalized: How to Interpret Stress Correctly

https://github.com/LLNL/fpp

공식 코드

Function Preserving Projection for Scalable Exploration of High-Dimensional Data

https://github.com/LeThiKhanhHien/KLNMF

공식 코드

Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence

https://github.com/Liao-Xu/DDR

공식 코드

Deep Dimension Reduction for Supervised Representation Learning

https://github.com/Lili-Zheng-stat/TTOI

공식 코드

Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration

https://github.com/LucaHermes/DeepView

공식 코드

DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction

https://github.com/LuisScoccola/fibered

공식 코드

FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector Bundles

https://github.com/Lyleregenwetter/BIKED

공식 코드

BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks

https://github.com/MReza89/Emulating-Spatio-Temporal-Realizations-of-Three-Dimensional-Isotropic-Turbulence-via-Deep-Sequence

공식 코드

Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models

https://github.com/Makbari1997/VAE-KPCA-HDBSCAN

공식 코드

A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery

https://github.com/MatteoTomasetto/SHRED-ROM

공식 코드

Reduced Order Modeling with Shallow Recurrent Decoder Networks

https://github.com/Mayimunah/Affinity-progation-sentiment-analysis

공식 코드

Enhancing Affinity Propagation for Improved Public Sentiment Insights

https://github.com/Mcibula/causal-learning-arm

공식 코드

Learning Low-Level Causal Relations using a Simulated Robotic Arm

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