SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 31013125 of 3304 papers

TitleStatusHype
Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN featuresCode0
CatBoost: unbiased boosting with categorical featuresCode0
Capturing patterns of variation unique to a specific datasetCode0
On genetic programming representations and fitness functions for interpretable dimensionality reductionCode0
On Geodesic Distances and Contextual Embedding Compression for Text ClassificationCode0
Weighted Fisher Discriminant Analysis in the Input and Feature SpacesCode0
Capacity Preserving Mapping for High-dimensional Data VisualizationCode0
Sirius: Visualization of Mixed Features as a Mutual Information Network GraphCode0
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality ReductionCode0
Online Convex Matrix Factorization with Representative RegionsCode0
Lens functions for exploring UMAP Projections with Domain KnowledgeCode0
Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored ProjectionsCode0
Calibrating dimension reduction hyperparameters in the presence of noiseCode0
Data Mapping and Finite Difference LearningCode0
From deep learning to mechanistic understanding in neuroscience: the structure of retinal predictionCode0
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) ZeroCode0
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain AdaptationCode0
LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral ImageryCode0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
A journey in ESN and LSTM visualisations on a language taskCode0
From Principal Subspaces to Principal Components with Linear AutoencodersCode0
Visualizing the PHATE of Neural NetworksCode0
From Small to Large Language Models: Revisiting the Federalist PapersCode0
Caffe: Convolutional Architecture for Fast Feature EmbeddingCode0
Recommending research articles to consumers of online vaccination informationCode0
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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