| Sparse Networks from Scratch: Faster Training without Losing Performance | Jul 10, 2019 | Image ClassificationSparse Learning | CodeCode Available | 1 | 5 |
| Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization | Apr 13, 2020 | regressionSparse Learning | CodeCode Available | 1 | 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 |
| DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting | Aug 5, 2024 | PositionSparse Learning | CodeCode Available | 0 | 5 |
| KNN Classification with One-step Computation | Dec 9, 2020 | ClassificationGeneral Classification | 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 |
| Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties | Sep 22, 2020 | DenoisingImage Denoising | CodeCode Available | 0 | 5 |
| Learning task structure via sparsity grouped multitask learning | May 13, 2017 | feature selectionSparse Learning | CodeCode Available | 0 | 5 |
| Optimal approximation for unconstrained non-submodular minimization | May 29, 2019 | Bayesian OptimizationSparse Learning | CodeCode Available | 0 | 5 |
