| AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning | May 24, 2022 | Natural Language Understandingparameter-efficient fine-tuning | CodeCode Available | 1 |
| Rigging the Lottery: Making All Tickets Winners | Nov 25, 2019 | AllImage Classification | CodeCode Available | 1 |
| SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining | Jun 4, 2024 | QuantizationSparse Learning | CodeCode Available | 1 |
| Sparse Networks from Scratch: Faster Training without Losing Performance | Jul 10, 2019 | Image ClassificationSparse Learning | CodeCode Available | 1 |
| abess: A Fast Best Subset Selection Library in Python and R | Oct 19, 2021 | Model SelectionSparse Learning | 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 |
| Event Enhanced High-Quality Image Recovery | Jul 16, 2020 | DenoisingSparse Learning | CodeCode Available | 1 |
| APP: Anytime Progressive Pruning | Apr 4, 2022 | Network PruningSparse Learning | CodeCode Available | 1 |
| Sparse Weight Activation Training | Jan 7, 2020 | Image ClassificationNetwork Pruning | CodeCode Available | 1 |
