| Sparse learning of stochastic dynamic equations | Dec 6, 2017 | DenoisingSparse Learning | CodeCode Available | 0 | 5 |
| A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data | Jan 18, 2018 | Classificationfeature selection | CodeCode Available | 0 | 5 |
| A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems | Mar 18, 2013 | Sparse Learning | CodeCode Available | 0 | 5 |
| Building explainable graph neural network by sparse learning for the drug-protein binding prediction | Aug 27, 2023 | Graph Neural NetworkSparse Learning | CodeCode Available | 0 | 5 |
| Similarity Preserving Unsupervised Feature Selection based on Sparse Learning | Dec 15, 2020 | feature selectionSparse Learning | CodeCode Available | 0 | 5 |
| SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning | Nov 7, 2021 | DeblurringGenerative Adversarial Network | CodeCode Available | 0 | 5 |
| Probabilistic Iterative Hard Thresholding for Sparse Learning | Sep 2, 2024 | Sparse Learning | CodeCode Available | 0 | 5 |
| Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking | Sep 1, 2018 | ObjectObject Tracking | CodeCode Available | 0 | 5 |
| RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering | Jun 10, 2019 | Anomaly DetectionSparse Learning | CodeCode Available | 0 | 5 |
| Optimal approximation for unconstrained non-submodular minimization | May 29, 2019 | Bayesian OptimizationSparse Learning | CodeCode Available | 0 | 5 |
| MyESL: Sparse learning in molecular evolution and phylogenetic analysis | Jan 9, 2025 | Sparse Learning | CodeCode Available | 0 | 5 |
| Scalable Subset Selection in Linear Mixed Models | Jun 25, 2025 | MarketingSparse Learning | CodeCode Available | 0 | 5 |
| Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties | Sep 22, 2020 | DenoisingImage Denoising | CodeCode Available | 0 | 5 |
| HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization | Aug 14, 2023 | Sparse Learning | CodeCode Available | 0 | 5 |
| KNN Classification with One-step Computation | Dec 9, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Collaborative Preference Embedding against Sparse Labels | Oct 21, 2019 | Collaborative FilteringDecision Making | CodeCode Available | 0 | 5 |
| CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion | Apr 29, 2024 | Continual LearningSentiment Analysis | CodeCode Available | 0 | 5 |
| Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives | Apr 14, 2021 | Sparse LearningVariable Selection | CodeCode Available | 0 | 5 |
| Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach | Sep 13, 2024 | In-Context LearningRetrieval | CodeCode Available | 0 | 5 |
| Feature Selection: A Data Perspective | Jan 29, 2016 | feature selectionSparse Learning | CodeCode Available | 0 | 5 |
| Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks | Aug 9, 2023 | Model CompressionSparse Learning | CodeCode Available | 0 | 5 |
| Fast OSCAR and OWL Regression via Safe Screening Rules | Jun 29, 2020 | regressionSparse Learning | CodeCode Available | 0 | 5 |
| Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge | Aug 27, 2022 | Federated LearningModel Compression | CodeCode Available | 0 | 5 |
| From safe screening rules to working sets for faster Lasso-type solvers | Mar 21, 2017 | Sparse Learning | CodeCode Available | 0 | 5 |
| Learning task structure via sparsity grouped multitask learning | May 13, 2017 | feature selectionSparse Learning | CodeCode Available | 0 | 5 |
