| Event Enhanced High-Quality Image Recovery | Jul 16, 2020 | DenoisingSparse Learning | CodeCode Available | 1 | 5 |
| Sparse Training via Boosting Pruning Plasticity with Neuroregeneration | Jun 19, 2021 | Network PruningSparse Learning | CodeCode Available | 1 | 5 |
| APP: Anytime Progressive Pruning | Apr 4, 2022 | Network PruningSparse Learning | CodeCode Available | 1 | 5 |
| Learning to Super-Resolve Blurry Images with Events | Feb 27, 2023 | Sparse LearningSuper-Resolution | CodeCode Available | 1 | 5 |
| Sparse Networks from Scratch: Faster Training without Losing Performance | Jul 10, 2019 | Image ClassificationSparse Learning | CodeCode Available | 1 | 5 |
| abess: A Fast Best Subset Selection Library in Python and R | Oct 19, 2021 | Model SelectionSparse Learning | CodeCode Available | 1 | 5 |
| SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining | Jun 4, 2024 | QuantizationSparse Learning | CodeCode Available | 1 | 5 |
| Learning where to learn: Gradient sparsity in meta and continual learning | Oct 27, 2021 | Continual LearningInductive Bias | CodeCode Available | 1 | 5 |
| L0Learn: A Scalable Package for Sparse Learning using L0 Regularization | Feb 10, 2022 | Combinatorial Optimizationregression | CodeCode Available | 1 | 5 |
| Variational Dropout Sparsifies Deep Neural Networks | Jan 19, 2017 | Sparse Learning | CodeCode Available | 1 | 5 |
| Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications | Aug 25, 2020 | DenoisingImage Denoising | CodeCode Available | 1 | 5 |
| Sparse Weight Activation Training | Jan 7, 2020 | Image ClassificationNetwork Pruning | CodeCode Available | 1 | 5 |
| The State of Sparsity in Deep Neural Networks | Feb 25, 2019 | Model CompressionSparse Learning | CodeCode Available | 1 | 5 |
| Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization | Apr 13, 2020 | regressionSparse Learning | CodeCode Available | 1 | 5 |
| Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms | Mar 5, 2018 | Combinatorial OptimizationSparse Learning | CodeCode Available | 1 | 5 |
| Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training | Feb 4, 2021 | Image ClassificationSparse Learning | CodeCode Available | 1 | 5 |
| Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python | Jun 27, 2020 | regressionSparse Learning | CodeCode Available | 1 | 5 |
| Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints | Aug 8, 2022 | Sparse Learning | CodeCode Available | 1 | 5 |
| Block Sparse Bayesian Learning: A Diversified Scheme | Feb 7, 2024 | SensitivitySparse Learning | CodeCode Available | 1 | 5 |
| Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science | Jul 15, 2017 | Sparse Learning | CodeCode Available | 1 | 5 |
| Rigging the Lottery: Making All Tickets Winners | Nov 25, 2019 | AllImage Classification | CodeCode Available | 1 | 5 |
| AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning | May 24, 2022 | Natural Language Understandingparameter-efficient fine-tuning | CodeCode Available | 1 | 5 |
| Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low | Aug 10, 2017 | regressionSparse Learning | CodeCode Available | 0 | 5 |
| DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting | Aug 5, 2024 | PositionSparse Learning | CodeCode Available | 0 | 5 |
| A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data | Jan 18, 2018 | Classificationfeature selection | CodeCode Available | 0 | 5 |
| A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems | Mar 18, 2013 | Sparse Learning | CodeCode Available | 0 | 5 |
| SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning | Nov 7, 2021 | DeblurringGenerative Adversarial Network | CodeCode Available | 0 | 5 |
| Sparse learning of stochastic dynamic equations | Dec 6, 2017 | DenoisingSparse Learning | CodeCode Available | 0 | 5 |
| Building explainable graph neural network by sparse learning for the drug-protein binding prediction | Aug 27, 2023 | Graph Neural NetworkSparse Learning | CodeCode Available | 0 | 5 |
| ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation | Aug 22, 2024 | Deep Learningimage-classification | CodeCode Available | 0 | 5 |
| The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost | Jul 16, 2019 | Anomaly DetectionFederated Learning | CodeCode Available | 0 | 5 |
| RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering | Jun 10, 2019 | Anomaly DetectionSparse Learning | CodeCode Available | 0 | 5 |
| Probabilistic Iterative Hard Thresholding for Sparse Learning | Sep 2, 2024 | Sparse Learning | CodeCode Available | 0 | 5 |
| Scalable Subset Selection in Linear Mixed Models | Jun 25, 2025 | MarketingSparse Learning | CodeCode Available | 0 | 5 |
| Optimal approximation for unconstrained non-submodular minimization | May 29, 2019 | Bayesian OptimizationSparse Learning | CodeCode Available | 0 | 5 |
| MyESL: Sparse learning in molecular evolution and phylogenetic analysis | Jan 9, 2025 | Sparse Learning | CodeCode Available | 0 | 5 |
| Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach | Sep 13, 2024 | In-Context LearningRetrieval | CodeCode Available | 0 | 5 |
| KNN Classification with One-step Computation | Dec 9, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties | Sep 22, 2020 | DenoisingImage Denoising | CodeCode Available | 0 | 5 |
| Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives | Apr 14, 2021 | Sparse LearningVariable Selection | CodeCode Available | 0 | 5 |
| CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion | Apr 29, 2024 | Continual LearningSentiment Analysis | CodeCode Available | 0 | 5 |
| HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization | Aug 14, 2023 | Sparse Learning | CodeCode Available | 0 | 5 |
| Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking | Sep 1, 2018 | ObjectObject Tracking | CodeCode Available | 0 | 5 |
| Learning task structure via sparsity grouped multitask learning | May 13, 2017 | feature selectionSparse Learning | CodeCode Available | 0 | 5 |
| Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks | Aug 9, 2023 | Model CompressionSparse Learning | CodeCode Available | 0 | 5 |
| Feature Selection: A Data Perspective | Jan 29, 2016 | feature selectionSparse Learning | CodeCode Available | 0 | 5 |
| Fast OSCAR and OWL Regression via Safe Screening Rules | Jun 29, 2020 | regressionSparse Learning | CodeCode Available | 0 | 5 |
| Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge | Aug 27, 2022 | Federated LearningModel Compression | CodeCode Available | 0 | 5 |
| From safe screening rules to working sets for faster Lasso-type solvers | Mar 21, 2017 | Sparse Learning | CodeCode Available | 0 | 5 |
| Similarity Preserving Unsupervised Feature Selection based on Sparse Learning | Dec 15, 2020 | feature selectionSparse Learning | CodeCode Available | 0 | 5 |
