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| L0Learn: A Scalable Package for Sparse Learning using L0 Regularization | Feb 10, 2022 | Combinatorial Optimizationregression | CodeCode Available | 1 |
| Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications | Aug 25, 2020 | DenoisingImage Denoising | CodeCode Available | 1 |
| Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training | Feb 4, 2021 | Image ClassificationSparse Learning | CodeCode Available | 1 |
| AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning | May 24, 2022 | Natural Language Understandingparameter-efficient fine-tuning | CodeCode Available | 1 |
| Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms | Mar 5, 2018 | Combinatorial OptimizationSparse Learning | CodeCode Available | 1 |
| abess: A Fast Best Subset Selection Library in Python and R | Oct 19, 2021 | Model SelectionSparse Learning | CodeCode Available | 1 |
| APP: Anytime Progressive Pruning | Apr 4, 2022 | Network PruningSparse Learning | CodeCode Available | 1 |
| Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints | Aug 8, 2022 | Sparse Learning | CodeCode Available | 1 |
| Learning to Super-Resolve Blurry Images with Events | Feb 27, 2023 | Sparse LearningSuper-Resolution | CodeCode Available | 1 |