{"total":28,"rows":[{"id":"2203.08065","title":"Surrogate Gap Minimization Improves Sharpness-Aware Training","created":"2022-03-15","cited_by_count":172,"area":null},{"id":"2110.03128","title":"On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications","created":"2021-10-07","cited_by_count":31,"area":null},{"id":"2206.08684","title":"Sparse Double Descent: Where Network Pruning Aggravates Overfitting","created":"2022-06-17","cited_by_count":26,"area":null},{"id":"2106.13731","title":"Ranger21: a synergistic deep learning optimizer","created":"2021-06-25","cited_by_count":22,"area":null},{"id":"2307.15196","title":"The Marginal Value of Momentum for Small Learning Rate SGD","created":"2023-07-27","cited_by_count":18,"area":null},{"id":"2201.13011","title":"On the Power-Law Hessian Spectrums in Deep Learning","created":"2022-01-31","cited_by_count":16,"area":null},{"id":"2510.27486","title":"FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models","created":"2025-10-31","cited_by_count":15,"area":null},{"id":"2212.02083","title":"On the Overlooked Structure of Stochastic Gradients","created":"2022-12-05","cited_by_count":13,"area":null},{"id":"2211.10691","title":"Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States","created":"2022-11-19","cited_by_count":11,"area":null},{"id":"2502.06604","title":"Do we really have to filter out random noise in pre-training data for language models?","created":"2025-02-10","cited_by_count":11,"area":null},{"id":"2502.17009","title":"Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs","created":"2025-02-24","cited_by_count":5,"area":null},{"id":"2506.00181","title":"On the Interaction of Batch Noise, Adaptivity, and Compression, under $(L_0,L_1)$-Smoothness: An SDE Approach","created":"2025-05-30","cited_by_count":4,"area":null},{"id":"2204.11045","title":"Investigating Neural Architectures by Synthetic Dataset Design","created":"2022-04-23","cited_by_count":3,"area":null},{"id":"2306.02618","title":"Enhance Diffusion to Improve Robust Generalization","created":"2023-06-05","cited_by_count":3,"area":null},{"id":"2211.15853","title":"Disentangling the Mechanisms Behind Implicit Regularization in SGD","created":"2022-11-29","cited_by_count":2,"area":null},{"id":"2412.18790","title":"Torque-Aware Momentum","created":"2024-12-25","cited_by_count":2,"area":null},{"id":"2509.18396","title":"Development of Deep Learning Optimizers: Approaches, Concepts, and Update Rules","created":"2025-09-22","cited_by_count":2,"area":null},{"id":"2603.03226","title":"Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective","created":"2026-03-03","cited_by_count":2,"area":null},{"id":"2412.17833","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","created":"2024-12-14","cited_by_count":1,"area":null},{"id":"2602.05393","title":"Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better","created":"2026-02-05","cited_by_count":1,"area":null},{"id":"2605.09331","title":"Dimension-Free Saddle-Point Escape in Muon","created":"2026-05-10","cited_by_count":1,"area":null},{"id":"2202.10923","title":"MSTGD:A Memory Stochastic sTratified Gradient Descent Method with an Exponential Convergence Rate","created":"2022-02-21","cited_by_count":0,"area":null},{"id":"2312.07213","title":"Brain-inspired Computing Based on Deep Learning for Human-computer Interaction: A Review","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2403.01058","title":"Neural Field Classifiers via Target Encoding and Classification Loss","created":"2024-03-02","cited_by_count":0,"area":null},{"id":"2501.01844","title":"Learning from Ambiguous Data with Hard Labels","created":"2025-01-03","cited_by_count":0,"area":null},{"id":"2604.22838","title":"Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2607.14466","title":"Interleaved Noise Injection Improves Clean, Corrupted, and OOD Performance","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2609.35614","title":"EvE: An Alternate Optimizer to Adam","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}