| Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training | Feb 4, 2021 | Image ClassificationSparse 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 |
| Event Enhanced High-Quality Image Recovery | Jul 16, 2020 | DenoisingSparse Learning | CodeCode Available | 1 |
| Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python | Jun 27, 2020 | regressionSparse Learning | CodeCode Available | 1 |
| Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization | Apr 13, 2020 | regressionSparse Learning | CodeCode Available | 1 |
| Sparse Weight Activation Training | Jan 7, 2020 | Image ClassificationNetwork Pruning | CodeCode Available | 1 |
| Rigging the Lottery: Making All Tickets Winners | Nov 25, 2019 | AllImage Classification | CodeCode Available | 1 |
| Sparse Networks from Scratch: Faster Training without Losing Performance | Jul 10, 2019 | Image ClassificationSparse Learning | CodeCode Available | 1 |
| The State of Sparsity in Deep Neural Networks | Feb 25, 2019 | Model CompressionSparse Learning | CodeCode Available | 1 |
| Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms | Mar 5, 2018 | Combinatorial OptimizationSparse Learning | CodeCode Available | 1 |
