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Dimensionality Reduction

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

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Papers

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Showing 151–200 of 3304 papers

TitleStatusHype
Modern Dimension ReductionCode1
DefakeHop: A Light-Weight High-Performance Deepfake DetectorCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
Explaining dimensionality reduction results using Shapley valuesCode1
Minimum-Distortion EmbeddingCode1
Unsupervised Ground Metric Learning using Wasserstein Singular VectorsCode1
OmiEmbed: a unified multi-task deep learning framework for multi-omics dataCode1
Reduced operator inference for nonlinear partial differential equationsCode1
FDApy: a Python package for functional dataCode1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brainCode1
Curvature-based Feature Selection with Application in Classifying Electronic Health RecordsCode1
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box ModelsCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Probabilistic Contrastive Principal Component AnalysisCode1
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data VisualizationCode1
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for AutoencodersCode1
Locally Linear Embedding and its Variants: Tutorial and SurveyCode1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
Understanding Information Processing in Human Brain by Interpreting Machine Learning ModelsCode1
Less is more: Faster and better music version identification with embedding distillationCode1
Perplexity-free Parametric t-SNECode1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
Deep Learning of Individual AestheticsCode1
Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality ReductionCode1
Going Beyond T-SNE: Exposing whatlies in Text EmbeddingsCode1
Improving the HardNet DescriptorCode1
Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes dataCode1
A New Basis for Sparse Principal Component AnalysisCode1
Physics-aware registration based auto-encoder for convection dominated PDEsCode1
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation VectorsCode1
The Signature Kernel is the solution of a Goursat PDECode1
Neural Decomposition: Functional ANOVA with Variational AutoencodersCode1
Extracting the main trend in a dataset: the Sequencer algorithmCode1
Latent variable modeling with random featuresCode1
On Path Integration of Grid Cells: Group Representation and Isotropic ScalingCode1
Markov-Lipschitz Deep LearningCode1
Deep Dimension Reduction for Supervised Representation LearningCode1
DartMinHash: Fast Sketching for Weighted SetsCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
Renormalized Mutual Information for Artificial Scientific DiscoveryCode1
On time series representations for multi-label NILMCode1
Sign Bits Are All You Need for Black-Box AttacksCode1
BayesOpt Adversarial AttackCode1
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
Flows for simultaneous manifold learning and density estimationCode1
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier DetectionCode1
Supervised Domain Adaptation using Graph EmbeddingCode1
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
Dimensionality reduction to maximize prediction generalization capabilityCode1
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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