{"total":23,"rows":[{"id":"2305.18403","title":"LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning","created":"2023-05-28","cited_by_count":53,"area":null},{"id":"2106.03795","title":"Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks","created":"2021-06-07","cited_by_count":44,"area":null},{"id":"2203.04466","title":"The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks","created":"2022-03-09","cited_by_count":41,"area":null},{"id":"2106.00134","title":"GANs Can Play Lottery Tickets Too","created":"2021-05-31","cited_by_count":32,"area":null},{"id":"2110.14856","title":"An Operator Theoretic View on Pruning Deep Neural Networks","created":"2021-10-28","cited_by_count":18,"area":null},{"id":"2105.10065","title":"A Probabilistic Approach to Neural Network Pruning","created":"2021-05-20","cited_by_count":15,"area":null},{"id":"2110.05667","title":"Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks","created":"2021-10-12","cited_by_count":14,"area":null},{"id":"2205.08099","title":"Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey","created":"2022-05-17","cited_by_count":12,"area":null},{"id":"2112.04002","title":"SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning","created":"2021-12-07","cited_by_count":9,"area":null},{"id":"2206.02976","title":"Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm","created":"2022-06-07","cited_by_count":9,"area":null},{"id":"2110.03210","title":"Universality of Winning Tickets: A Renormalization Group Perspective","created":"2021-10-07","cited_by_count":8,"area":null},{"id":"2301.07966","title":"Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions","created":"2023-01-19","cited_by_count":8,"area":null},{"id":"2307.05468","title":"My3DGen: A Scalable Personalized 3D Generative Model","created":"2023-07-11","cited_by_count":8,"area":null},{"id":"2311.00447","title":"On the Opportunities of Green Computing: A Survey","created":"2023-11-01","cited_by_count":7,"area":null},{"id":"2406.07017","title":"MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations","created":"2024-06-11","cited_by_count":5,"area":null},{"id":"2110.11804","title":"Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning","created":"2021-10-22","cited_by_count":2,"area":null},{"id":"2206.06563","title":"Zeroth-Order Topological Insights into Iterative Magnitude Pruning","created":"2022-06-14","cited_by_count":2,"area":null},{"id":"2308.03128","title":"Iterative Magnitude Pruning as a Renormalisation Group: A Study in The Context of The Lottery Ticket Hypothesis","created":"2023-08-06","cited_by_count":1,"area":null},{"id":"2304.02862","title":"Learning to Learn with Indispensable Connections","created":"2023-04-06","cited_by_count":0,"area":null},{"id":"2306.09863","title":"Transferability of Winning Lottery Tickets in Neural Network Differential Equation Solvers","created":"2023-06-16","cited_by_count":0,"area":null},{"id":"2306.16557","title":"Non-Convex Optimizations for Machine Learning with Theoretical Guarantee: Robust Matrix Completion and Neural Network Learning","created":"2023-06-28","cited_by_count":0,"area":null},{"id":"2603.28142","title":"RecycleLoRA: Rank-Revealing QR-Based Dual-LoRA Subspace Adaptation for Domain Generalized Semantic Segmentation","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2604.27052","title":"Man, Machine, and Mathematics","created":"2026-04-29","cited_by_count":0,"area":null}],"next_cursor":null}