| CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion | Apr 29, 2024 | Continual LearningSentiment Analysis | CodeCode Available | 0 | 5 |
| HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization | Aug 14, 2023 | 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 |
| Learning task structure via sparsity grouped multitask learning | May 13, 2017 | 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 |
| Feature Selection: A Data Perspective | Jan 29, 2016 | feature selectionSparse 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 |
| Similarity Preserving Unsupervised Feature Selection based on Sparse Learning | Dec 15, 2020 | feature selectionSparse Learning | CodeCode Available | 0 | 5 |
