| 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 |
| 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 |
| Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science | Jul 15, 2017 | Sparse Learning | CodeCode Available | 1 |
| Variational Dropout Sparsifies Deep Neural Networks | Jan 19, 2017 | Sparse Learning | CodeCode Available | 1 |
| Scalable Subset Selection in Linear Mixed Models | Jun 25, 2025 | MarketingSparse Learning | CodeCode Available | 0 |
| Learning Sparsity for Effective and Efficient Music Performance Question Answering | Jun 2, 2025 | Audio-visual Question AnsweringQuestion Answering | —Unverified | 0 |
| Optimizing Hard Thresholding for Sparse Model Discovery | Apr 28, 2025 | Dictionary Learningmodel | —Unverified | 0 |
| STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking | Apr 20, 2025 | Computational EfficiencySparse Learning | —Unverified | 0 |
| Sparsified-Learning for Heavy-Tailed Locally Stationary Processes | Apr 8, 2025 | Sparse Learning | —Unverified | 0 |
| Low-Rank Matrix Regression via Least-Angle Regression | Mar 13, 2025 | Computational Efficiencyregression | —Unverified | 0 |
| Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries | Feb 4, 2025 | Sparse Learning | —Unverified | 0 |
| Nonparametric Sparse Online Learning of the Koopman Operator | Jan 27, 2025 | Sparse Learning | —Unverified | 0 |
| MyESL: Sparse learning in molecular evolution and phylogenetic analysis | Jan 9, 2025 | Sparse Learning | CodeCode Available | 0 |
| Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning | Nov 20, 2024 | Sparse Learning | —Unverified | 0 |
| GUIDE: Real-Time Human-Shaped Agents | Oct 19, 2024 | Decision MakingSparse Learning | —Unverified | 0 |
| Scaling Continuous Kernels with Sparse Fourier Domain Learning | Sep 15, 2024 | Computational EfficiencySparse Learning | —Unverified | 0 |
| Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach | Sep 13, 2024 | In-Context LearningRetrieval | CodeCode Available | 0 |
| Quasi-potential and drift decomposition in stochastic systems by sparse identification | Sep 10, 2024 | Sparse Learning | —Unverified | 0 |
| Probabilistic Iterative Hard Thresholding for Sparse Learning | Sep 2, 2024 | Sparse Learning | CodeCode Available | 0 |
| Multi-SIGATnet: A multimodal schizophrenia MRI classification algorithm using sparse interaction mechanisms and graph attention networks | Aug 25, 2024 | Graph AttentionMRI classification | —Unverified | 0 |
| ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation | Aug 22, 2024 | Deep Learningimage-classification | CodeCode Available | 0 |
| DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting | Aug 5, 2024 | PositionSparse Learning | CodeCode Available | 0 |
| Generative Adversarial Networks for Imputing Sparse Learning Performance | Jul 26, 2024 | Generative Adversarial NetworkImputation | —Unverified | 0 |
| Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning | Jun 3, 2024 | Model CompressionNetwork Pruning | —Unverified | 0 |
| Nonparametric Sparse Online Learning of the Koopman Operator | May 13, 2024 | Operator learningSparse Learning | —Unverified | 0 |
| CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion | Apr 29, 2024 | Continual LearningSentiment Analysis | CodeCode Available | 0 |
| CRB Analysis for Mixed-ADC Based DOA Estimation | Mar 14, 2024 | QuantizationSparse Learning | —Unverified | 0 |
| Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation | Feb 5, 2024 | Model CompressionRecommendation Systems | —Unverified | 0 |
| Dynamic Incremental Optimization for Best Subset Selection | Feb 4, 2024 | Sparse Learning | —Unverified | 0 |
| Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines | Dec 17, 2023 | Ensemble LearningSparse Learning | —Unverified | 0 |
| Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees | Nov 3, 2023 | Sparse Learning | —Unverified | 0 |
| Building explainable graph neural network by sparse learning for the drug-protein binding prediction | Aug 27, 2023 | Graph Neural NetworkSparse Learning | CodeCode Available | 0 |