SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 151–175 of 3304 papers

TitleStatusHype
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionCode1
DefakeHop: A Light-Weight High-Performance Deepfake DetectorCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Diagnosing and Fixing Manifold Overfitting in Deep Generative ModelsCode1
A New Basis for Sparse Principal Component AnalysisCode1
Dimension Reduction for Efficient Dense Retrieval via Conditional AutoencoderCode1
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
An Additive Autoencoder for Dimension EstimationCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
An efficient aggregation method for the symbolic representation of temporal dataCode1
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust ExplorationCode1
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction ModelsCode1
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering TransformsCode1
Towards a More Rigorous Science of Blindspot Discovery in Image Classification ModelsCode1
EVNet: An Explainable Deep Network for Dimension ReductionCode1
Fast conformational clustering of extensive molecular dynamics simulation dataCode1
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box ModelsCode1
A local approach to parameter space reduction for regression and classification tasksCode1
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language ModelsCode1
From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic CommunicationCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional DatasetsCode1
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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