| SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining | Jun 4, 2024 | QuantizationSparse Learning | CodeCode Available | 1 |
| Block Sparse Bayesian Learning: A Diversified Scheme | Feb 7, 2024 | SensitivitySparse Learning | CodeCode Available | 1 |
| Learning to Super-Resolve Blurry Images with Events | Feb 27, 2023 | Sparse LearningSuper-Resolution | 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 |
| AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning | May 24, 2022 | Natural Language Understandingparameter-efficient fine-tuning | CodeCode Available | 1 |
| APP: Anytime Progressive Pruning | Apr 4, 2022 | Network PruningSparse Learning | CodeCode Available | 1 |
| L0Learn: A Scalable Package for Sparse Learning using L0 Regularization | Feb 10, 2022 | Combinatorial Optimizationregression | CodeCode Available | 1 |
| Learning where to learn: Gradient sparsity in meta and continual learning | Oct 27, 2021 | Continual LearningInductive Bias | CodeCode Available | 1 |
| abess: A Fast Best Subset Selection Library in Python and R | Oct 19, 2021 | Model SelectionSparse Learning | CodeCode Available | 1 |
| Sparse Training via Boosting Pruning Plasticity with Neuroregeneration | Jun 19, 2021 | Network PruningSparse Learning | CodeCode Available | 1 |
