{"total":23,"rows":[{"id":"2406.02924","title":"Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models","created":"2024-06-05","cited_by_count":40,"area":null},{"id":"2502.15618","title":"Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing","created":"2025-02-21","cited_by_count":14,"area":null},{"id":"2310.10780","title":"Demystifying Poisoning Backdoor Attacks from a Statistical Perspective","created":"2023-10-16","cited_by_count":10,"area":null},{"id":"2310.10563","title":"RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets","created":"2023-10-16","cited_by_count":9,"area":null},{"id":"2410.00131","title":"Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models","created":"2024-09-30","cited_by_count":6,"area":null},{"id":"2510.18030","title":"From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models","created":"2025-10-20","cited_by_count":6,"area":null},{"id":"2305.04267","title":"Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization","created":"2023-05-07","cited_by_count":4,"area":null},{"id":"2404.15943","title":"Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme","created":"2024-04-24","cited_by_count":3,"area":null},{"id":"2503.06001","title":"Analyzing the Role of Permutation Invariance in Linear Mode Connectivity","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2507.17725","title":"On the Interaction of Compressibility and Adversarial Robustness","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2507.17748","title":"Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2312.02194","title":"Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning","created":"2023-12-02","cited_by_count":1,"area":null},{"id":"2404.13844","title":"ColA: Collaborative Adaptation with Gradient Learning","created":"2024-04-22","cited_by_count":1,"area":null},{"id":"2406.08933","title":"LaCoOT: Layer Collapse through Optimal Transport","created":"2024-06-13","cited_by_count":1,"area":null},{"id":"2408.04759","title":"Confident magnitude-based neural network pruning","created":"2024-08-08","cited_by_count":1,"area":null},{"id":"2409.04986","title":"DynamicFL: Federated Learning with Dynamic Communication Resource Allocation","created":"2024-09-08","cited_by_count":1,"area":null},{"id":"2501.06059","title":"COMIX: Compositional Explanations using Prototypes","created":"2025-01-10","cited_by_count":1,"area":null},{"id":"2501.15592","title":"Information Consistent Pruning: How to Efficiently Search for Sparse Networks?","created":"2025-01-26","cited_by_count":1,"area":null},{"id":"2409.03777","title":"A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs","created":"2024-08-22","cited_by_count":0,"area":null},{"id":"2503.08321","title":"i-WiViG: Interpretable Window Vision GNN","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2511.00359","title":"Toward Unifying Group Fairness Evaluation from a Sparsity Perspective","created":"2025-11-01","cited_by_count":0,"area":null},{"id":"2512.07090","title":"Leveraging KV Similarity for Online Structured Pruning in LLMs","created":"2025-12-08","cited_by_count":0,"area":null},{"id":"2603.10397","title":"On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD","created":"2026-03-11","cited_by_count":0,"area":null}],"next_cursor":null}