Papers with Code 아카이브

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/lseventeen/dias

공식 코드

DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences

https://github.com/lsx-uniwue/indirect

공식 코드

InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images

https://github.com/ltu-machine-learning/analysis-of-deep-perceptual-loss-networks

공식 코드

A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions

https://github.com/luca-parisi/m-arcsinh_scikit-learn_TensorFlow_Keras/blob/master/_fastica.py

공식 코드

M-ar-K-Fast Independent Component Analysis

https://github.com/luckydoggy98/saesurv-net

공식 코드

Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction

https://github.com/lukashedegaard/dage

공식 코드

Supervised Domain Adaptation using Graph Embedding

https://github.com/lzx23/manifold_learning_metric_spaces

공식 코드

Manifold learning in metric spaces

https://github.com/maciejzieba/binGAN

공식 코드

BinGAN: Learning Compact Binary Descriptors with a Regularized GAN

https://github.com/magrilab/md-cnn-ae

공식 코드

Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data

https://github.com/mahmad00/Artifacts-of-DR-on-Hybrid-CNN-for-HSIC/blob/main/Artifacts_of_DR_on_Hybrid_CNN_for_HSIC.ipynb

공식 코드

Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN

https://github.com/mahsunaltin/dr4mtsad

공식 코드

Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series

https://github.com/majid1292/DRPT

공식 코드

High-Dimensional Feature Selection for Genomic Datasets

https://github.com/maksimchup/Markovian-Projection-in-filtering-for-SRNs

공식 코드

Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks

https://github.com/maktukmak/microbiome-thor

공식 코드

A Graphical Model for Fusing Diverse Microbiome Data

https://github.com/mariabarrosoh/functional-diffusion-maps

공식 코드

Functional Diffusion Maps

https://github.com/mark-kac-center/fsca

공식 코드

Using Space-Filling Curves and Fractals to Reveal Spatial and Temporal Patterns in Neuroimaging Data

https://github.com/markovmodel/deeptime

공식 코드

VAMPnets: Deep learning of molecular kinetics

https://github.com/markvdw/GParML

공식 코드

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models

https://github.com/mathLab/ATHENA

공식 코드

A local approach to parameter space reduction for regression and classification tasks

https://github.com/mazy1998/browserGAN

공식 코드

Interactive Latent Interpolation on MNIST Dataset

https://github.com/mckellwoodland/dimen_reduce_mahal

공식 코드

Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation

https://github.com/mclemot/topologicalautoencodersplusplus

공식 코드

Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction

https://github.com/mederrata/spmf

공식 코드

Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization

https://github.com/meghshukla/LEt_SNE

공식 코드

LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery

https://github.com/mengli11235/dim-ua

공식 코드

State Representation Learning Using an Unbalanced Atlas

https://github.com/merantix-momentum/stego-studies

공식 코드

Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation

https://github.com/mgerasimiuk/mural

공식 코드

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data

https://github.com/mgolbabaee/CoverBLIP

공식 코드

CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction

https://github.com/michaelzhang01/bayesian-rflvm

공식 코드

Bayesian Non-linear Latent Variable Modeling via Random Fourier Features

https://github.com/mide478/lowerdimensionalspace-stabilization-rt-uqi

공식 코드

Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation

https://github.com/miguelsimao/uc2017_classification

공식 코드

Online Recognition of Incomplete Gesture Data to Interface Collaborative Robots

https://github.com/mikexcohen/GED_tutorial

공식 코드

A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology

https://github.com/minh-nghia/AE-1SVM

공식 코드

Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features

https://github.com/mit-ll-responsible-ai/equine-webapp

공식 코드

ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems

https://github.com/mjcolebank/Colebank_Identifiability_PDE

공식 코드

Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction

https://github.com/mkvdro/DRO_Markov

공식 코드

Distributionally Robust Optimization with Markovian Data

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