SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 125 of 3304 papers

TitleStatusHype
Revisiting PCA for time series reduction in temporal dimensionCode7
Dimension Reduction with Locally Adjusted GraphsCode4
XGBoost: A Scalable Tree Boosting SystemCode4
ivis Dimensionality Reduction Framework for Biomacromolecular SimulationsCode3
Parametric UMAP embeddings for representation and semi-supervised learningCode3
Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofingCode2
A Survey on Generative Diffusion ModelCode2
TTS-GAN: A Transformer-based Time-Series Generative Adversarial NetworkCode2
Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton FormatsCode2
LeanVec: Searching vectors faster by making them fitCode2
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance ComputingCode2
Geomstats: A Python Package for Riemannian Geometry in Machine LearningCode2
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural NetworksCode2
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraftCode2
RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language ModelsCode2
Discover and Mitigate Multiple Biased Subgroups in Image ClassifiersCode2
Efficient Multi-Scale Attention Module with Cross-Spatial LearningCode2
Modular Boundaries in Recurrent Neural NetworksCode2
ImMesh: An Immediate LiDAR Localization and Meshing FrameworkCode2
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
ATD: Augmenting CP Tensor Decomposition by Self SupervisionCode1
Autoencoding with a Classifier SystemCode1
A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiologyCode1
A Spectral Method for Assessing and Combining Multiple Data VisualizationsCode1
On Path Integration of Grid Cells: Group Representation and Isotropic ScalingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified