| Autoencoding with a Classifier System | Oct 23, 2019 | DecoderDimensionality Reduction | CodeCode Available | 1 | 5 |
| HUMAP: Hierarchical Uniform Manifold Approximation and Projection | Jun 14, 2021 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| Deep Learning of Individual Aesthetics | Sep 24, 2020 | Deep LearningDimensionality Reduction | CodeCode Available | 1 | 5 |
| DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences | Jun 21, 2023 | Dimensionality ReductionImage Segmentation | CodeCode Available | 1 | 5 |
| BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders | Mar 6, 2020 | ClusteringDecoder | CodeCode Available | 1 | 5 |
| Improving the HardNet Descriptor | Jul 19, 2020 | Dimensionality ReductionImage Retrieval | CodeCode Available | 1 | 5 |
| Bayesian Optimization of Sampling Densities in MRI | Sep 15, 2022 | Bayesian OptimizationDimensionality Reduction | CodeCode Available | 1 | 5 |
| Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction | Sep 21, 2020 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| BayesOpt Adversarial Attack | May 1, 2020 | Adversarial AttackBayesian Optimisation | CodeCode Available | 1 | 5 |
| Large-scale optimal transport map estimation using projection pursuit | Jun 9, 2021 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection | Jul 26, 2024 | Dimensionality ReductionDistributed Computing | CodeCode Available | 1 | 5 |
| catch22: CAnonical Time-series CHaracteristics | Jan 29, 2019 | ClassificationClustering | CodeCode Available | 1 | 5 |
| Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors | Sep 27, 2022 | Dimensionality ReductionImage Retrieval | CodeCode Available | 1 | 5 |
| Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) | Oct 1, 2021 | Dimensionality ReductionGraph Representation Learning | CodeCode Available | 1 | 5 |
| Learning Wasserstein Embeddings | Oct 20, 2017 | DecoderDimensionality Reduction | CodeCode Available | 1 | 5 |
| Less is more: Faster and better music version identification with embedding distillation | Oct 7, 2020 | Dimensionality ReductionRetrieval | CodeCode Available | 1 | 5 |
| CatBoost: gradient boosting with categorical features support | Oct 24, 2018 | ClusteringCPU | CodeCode Available | 1 | 5 |
| Light Curve Classification with DistClassiPy: a new distance-based classifier | Mar 18, 2024 | AstronomyClassification | CodeCode Available | 1 | 5 |
| ManifoldNet: A Deep Network Framework for Manifold-valued Data | Sep 11, 2018 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| CBMAP: Clustering-based manifold approximation and projection for dimensionality reduction | Apr 27, 2024 | ClusteringData Visualization | CodeCode Available | 1 | 5 |
| Metric Space Magnitude for Evaluating the Diversity of Latent Representations | Nov 27, 2023 | Dimensionality ReductionDiversity | CodeCode Available | 1 | 5 |
| Minimalist Data Wrangling with Python | Nov 9, 2022 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| Molecular Insights from Conformational Ensembles via Machine Learning | Feb 4, 2020 | BIG-bench Machine LearningDimensionality Reduction | CodeCode Available | 1 | 5 |
| Multi-fidelity reduced-order surrogate modeling | Sep 1, 2023 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| NCVis: Noise Contrastive Approach for Scalable Visualization | Jan 30, 2020 | Data VisualizationDimensionality Reduction | CodeCode Available | 1 | 5 |
| DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation | Mar 20, 2021 | Dimensionality ReductionNavigate | CodeCode Available | 1 | 5 |
| Correlation-based feature selection to identify functional dynamics in proteins | Apr 6, 2022 | ClusteringCommunity Detection | CodeCode Available | 1 | 5 |
| Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction | Jun 8, 2021 | Bayesian InferenceDimensionality Reduction | CodeCode Available | 1 | 5 |
| Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation | Oct 2, 2020 | Dimensionality ReductionDomain Adaptation | CodeCode Available | 1 | 5 |
| Deep active subspaces - a scalable method for high-dimensional uncertainty propagation | Feb 27, 2019 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 | 5 |
| Adversarial Autoencoders | Nov 18, 2015 | ClusteringData Visualization | CodeCode Available | 1 | 5 |
| Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models | Jan 1, 2021 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| Curvature-based Feature Selection with Application in Classifying Electronic Health Records | Jan 10, 2021 | Breast Cancer DetectionBreast Tissue Identification | CodeCode Available | 1 | 5 |
| DartMinHash: Fast Sketching for Weighted Sets | May 23, 2020 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| A Memory Efficient Baseline for Open Domain Question Answering | Dec 30, 2020 | Dimensionality ReductionOpen-Domain Question Answering | CodeCode Available | 1 | 5 |
| Deep Dimension Reduction for Supervised Representation Learning | Jun 10, 2020 | Dimensionality ReductionDisentanglement | CodeCode Available | 1 | 5 |
| Deep Learning for Functional Data Analysis with Adaptive Basis Layers | Jun 19, 2021 | Deep LearningDimensionality Reduction | CodeCode Available | 1 | 5 |
| Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations | Jul 9, 2021 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction | Sep 19, 2019 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| A local approach to parameter space reduction for regression and classification tasks | Jul 22, 2021 | ClusteringDimensionality Reduction | CodeCode Available | 1 | 5 |
| A hyperparameter-tuning approach to automated inverse planning | May 14, 2021 | Bayesian OptimizationDimensionality Reduction | CodeCode Available | 1 | 5 |
| Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning | Jun 21, 2022 | Dimensionality ReductionExperimental Design | CodeCode Available | 1 | 5 |
| Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets | May 11, 2023 | Data VisualizationDimensionality Reduction | CodeCode Available | 1 | 5 |
| An Embedding is Worth a Thousand Noisy Labels | Aug 26, 2024 | Dimensionality ReductionSupervised dimensionality reduction | CodeCode Available | 1 | 5 |
| Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder | May 6, 2022 | Dimensionality ReductionInformation Retrieval | CodeCode Available | 1 | 5 |
| A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery | Mar 7, 2023 | ClusteringDimensionality Reduction | CodeCode Available | 1 | 5 |
| Discovering Distinctive "Semantics" in Super-Resolution Networks | Aug 1, 2021 | Dimensionality ReductionImage Super-Resolution | CodeCode Available | 1 | 5 |
| Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA | Jun 17, 2021 | Dimensionality ReductionDisentanglement | CodeCode Available | 1 | 5 |
| Distributed Out-of-Memory NMF on CPU/GPU Architectures | Feb 19, 2022 | CPUDimensionality Reduction | CodeCode Available | 1 | 5 |
| Clustering with UMAP: Why and How Connectivity Matters | Aug 12, 2021 | ClusteringDimensionality Reduction | CodeCode Available | 1 | 5 |
