{"total":25,"rows":[{"id":"2403.12350","title":"Friendly Sharpness-Aware Minimization","created":"2024-03-19","cited_by_count":53,"area":null},{"id":"2405.03676","title":"Why is SAM Robust to Label Noise?","created":"2024-05-06","cited_by_count":21,"area":null},{"id":"2410.14802","title":"Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems","created":"2024-10-18","cited_by_count":10,"area":null},{"id":"2403.00543","title":"SURE: SUrvey REcipes for building reliable and robust deep networks","created":"2024-03-01","cited_by_count":8,"area":null},{"id":"2403.06903","title":"Benign overfitting in leaky ReLU networks with moderate input dimension","created":"2024-03-11","cited_by_count":6,"area":null},{"id":"2410.22656","title":"Tilted Sharpness-Aware Minimization","created":"2024-10-30","cited_by_count":6,"area":null},{"id":"2406.03944","title":"Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples","created":"2024-06-06","cited_by_count":5,"area":null},{"id":"2410.23672","title":"Provable Benefit of Cutout and CutMix for Feature Learning","created":"2024-10-31","cited_by_count":4,"area":null},{"id":"2505.18909","title":"On the Role of Label Noise in the Feature Learning Process","created":"2025-05-25","cited_by_count":4,"area":null},{"id":"2510.17526","title":"How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?","created":"2025-10-20","cited_by_count":4,"area":null},{"id":"2511.03548","title":"Flat Minima and Generalization: Insights from Stochastic Convex Optimization","created":"2025-11-05","cited_by_count":4,"area":null},{"id":"2404.17768","title":"Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization","created":"2024-04-27","cited_by_count":3,"area":null},{"id":"2412.05169","title":"Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization","created":"2024-12-06","cited_by_count":3,"area":null},{"id":"2602.11175","title":"Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth","created":"2026-01-19","cited_by_count":3,"area":null},{"id":"2511.17378","title":"A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias","created":"2025-11-21","cited_by_count":2,"area":null},{"id":"2409.09984","title":"Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rate","created":"2024-09-16","cited_by_count":1,"area":null},{"id":"2507.07883","title":"SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation","created":"2025-07-10","cited_by_count":1,"area":null},{"id":"2406.06700","title":"Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2411.17132","title":"Understanding SAM's Robustness to Noisy Labels through Gradient Down-weighting","created":"2024-11-26","cited_by_count":0,"area":null},{"id":"2509.21818","title":"Sharpness-Aware Minimization Can Hallucinate Minimizers","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2510.16757","title":"SAMOSA: Sharpness Aware Minimization for Open Set Active learning","created":"2025-10-19","cited_by_count":0,"area":null},{"id":"2602.00576","title":"Data Distribution as a Lever for Guiding Optimizers Toward Superior Generalization in LLMs","created":"2026-01-31","cited_by_count":0,"area":null},{"id":"2604.22170","title":"Sharpness-Aware Poisoning: Enhancing Transferability of Injective Attacks on Recommender Systems","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2606.25004","title":"Certification of Machine Learning Models via Directional Sharpness","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2610.13787","title":"Optimal Algorithms for Nonsmooth Nonconvex Stochastic Optimization with Constraints","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}