| SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining | Jun 4, 2024 | QuantizationSparse 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 |
| L0Learn: A Scalable Package for Sparse Learning using L0 Regularization | Feb 10, 2022 | Combinatorial Optimizationregression | CodeCode Available | 1 |
| Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science | Jul 15, 2017 | Sparse Learning | CodeCode Available | 1 |
| Sparse Weight Activation Training | Jan 7, 2020 | Image ClassificationNetwork Pruning | CodeCode Available | 1 |
| Sparse Networks from Scratch: Faster Training without Losing Performance | Jul 10, 2019 | Image ClassificationSparse 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 |
| Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms | Mar 5, 2018 | Combinatorial OptimizationSparse Learning | CodeCode Available | 1 |
| Learning where to learn: Gradient sparsity in meta and continual learning | Oct 27, 2021 | Continual LearningInductive Bias | CodeCode Available | 1 |
| Rigging the Lottery: Making All Tickets Winners | Nov 25, 2019 | AllImage Classification | CodeCode Available | 1 |
| Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization | Apr 13, 2020 | regressionSparse Learning | CodeCode Available | 1 |
| Sparse Training via Boosting Pruning Plasticity with Neuroregeneration | Jun 19, 2021 | Network PruningSparse Learning | CodeCode Available | 1 |
| The State of Sparsity in Deep Neural Networks | Feb 25, 2019 | Model CompressionSparse Learning | CodeCode Available | 1 |
| Variational Dropout Sparsifies Deep Neural Networks | Jan 19, 2017 | Sparse 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 |
| Learning to Super-Resolve Blurry Images with Events | Feb 27, 2023 | Sparse LearningSuper-Resolution | CodeCode Available | 1 |
| Block Sparse Bayesian Learning: A Diversified Scheme | Feb 7, 2024 | SensitivitySparse 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 |
| AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems | Jul 24, 2022 | Sparse Learning | —Unverified | 0 |
| A Knowledge Transfer Framework for Differentially Private Sparse Learning | Sep 13, 2019 | regressionSparse Learning | —Unverified | 0 |
| Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models | Dec 1, 2008 | Sparse Learning | —Unverified | 0 |
