| Fast conformational clustering of extensive molecular dynamics simulation data | Jan 11, 2023 | ClusteringDimensionality Reduction | CodeCode Available | 1 | 5 |
| Fast Network Embedding Enhancement via High Order Proximity Approximation | May 13, 2020 | Dimensionality ReductionLink Prediction | CodeCode Available | 1 | 5 |
| Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction Models | May 6, 2022 | ClusteringDimensionality Reduction | CodeCode Available | 1 | 5 |
| A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces | Jan 11, 2024 | ClassificationComputational Efficiency | 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 |
| Approximating Likelihood Ratios with Calibrated Discriminative Classifiers | Jun 6, 2015 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms | Aug 28, 2022 | Dimensionality ReductionQuantum Machine Learning | CodeCode Available | 1 | 5 |
| A Primer on the Signature Method in Machine Learning | Mar 11, 2016 | BIG-bench Machine LearningDimensionality Reduction | CodeCode Available | 1 | 5 |
| ATD: Augmenting CP Tensor Decomposition by Self Supervision | Jun 15, 2021 | Data AugmentationDimensionality 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 Spectral Method for Assessing and Combining Multiple Data Visualizations | Oct 25, 2022 | Data VisualizationDimensionality Reduction | CodeCode Available | 1 | 5 |
| Going Beyond T-SNE: Exposing whatlies in Text Embeddings | Sep 4, 2020 | Dimensionality ReductionSentence | CodeCode Available | 1 | 5 |
| Diagnosing and Fixing Manifold Overfitting in Deep Generative Models | Apr 14, 2022 | Density EstimationDimensionality Reduction | CodeCode Available | 1 | 5 |
| Adversarial Autoencoders | Nov 18, 2015 | ClusteringData Visualization | CodeCode Available | 1 | 5 |
| A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology | Apr 26, 2021 | DenoisingDimensionality Reduction | CodeCode Available | 1 | 5 |
| Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction | Mar 24, 2022 | 16kData Augmentation | 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 |
| Autoencoding with a Classifier System | Oct 23, 2019 | DecoderDimensionality Reduction | CodeCode Available | 1 | 5 |
| Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models | Jan 1, 2021 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor Classification | Oct 9, 2021 | ClassificationDimensionality Reduction | CodeCode Available | 1 | 5 |
| BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders | Mar 6, 2020 | ClusteringDecoder | CodeCode Available | 1 | 5 |
| Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations | Oct 14, 2024 | Dimensionality ReductionMuJoCo | CodeCode Available | 1 | 5 |
| Improving Metric Dimensionality Reduction with Distributed Topology | Jun 14, 2021 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| catch22: CAnonical Time-series CHaracteristics | Jan 29, 2019 | ClassificationClustering | CodeCode Available | 1 | 5 |
| Kernelized Diffusion maps | Feb 13, 2023 | ClusteringDimensionality Reduction | CodeCode Available | 1 | 5 |
| Bayesian Optimization of Sampling Densities in MRI | Sep 15, 2022 | Bayesian OptimizationDimensionality Reduction | 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 |
| An efficient aggregation method for the symbolic representation of temporal data | Jan 14, 2022 | Dimensionality ReductionInformation Retrieval | 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 |
| ActUp: Analyzing and Consolidating tSNE and UMAP | May 12, 2023 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks | Mar 10, 2021 | BIG-bench Machine LearningDesign Synthesis | 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 the dynamics of technical trading strategies | Mar 6, 2019 | Dimensionality ReductionTime Series | 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 |
| Linear Recursive Feature Machines provably recover low-rank matrices | Jan 9, 2024 | Dimensionality ReductionLow-Rank Matrix Completion | CodeCode Available | 1 | 5 |
| Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models | Jul 21, 2021 | Dimensionality ReductionUncertainty Quantification | 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 |
| Deep reconstruction of strange attractors from time series | Feb 14, 2020 | Dimensionality ReductionTime Series | 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 |
| Neural Decomposition: Functional ANOVA with Variational Autoencoders | Jun 25, 2020 | DecoderDimensionality Reduction | CodeCode Available | 1 | 5 |
| OmiEmbed: a unified multi-task deep learning framework for multi-omics data | Feb 3, 2021 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression | Mar 23, 2024 | Dimensionality ReductionGPU | CodeCode Available | 1 | 5 |
| ParaDime: A Framework for Parametric Dimensionality Reduction | Oct 10, 2022 | Dimensionality Reduction | CodeCode Available | 1 | 5 |
| DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning | Oct 4, 2023 | Dimensionality ReductionIn-Context Learning | CodeCode Available | 1 | 5 |
| Clustering with UMAP: Why and How Connectivity Matters | Aug 12, 2021 | ClusteringDimensionality Reduction | CodeCode Available | 1 | 5 |
| Generative locally linear embedding: A module for manifold unfolding and visualization | Jul 6, 2021 | Data VisualizationDimensionality Reduction | CodeCode Available | 1 | 5 |
