| Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks | Aug 9, 2023 | Model CompressionSparse Learning | CodeCode Available | 0 | 5 |
| Similarity Preserving Unsupervised Feature Selection based on Sparse Learning | Dec 15, 2020 | feature selectionSparse Learning | CodeCode Available | 0 | 5 |
| KNN Classification with One-step Computation | Dec 9, 2020 | ClassificationGeneral Classification | 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 |
| From safe screening rules to working sets for faster Lasso-type solvers | Mar 21, 2017 | Sparse 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 |
| Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives | Apr 14, 2021 | Sparse LearningVariable Selection | 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 |
