{"total":55,"rows":[{"id":"2302.07011","title":"A Modern Look at the Relationship between Sharpness and Generalization","created":"2023-02-14","cited_by_count":92,"area":null},{"id":"2402.09963","title":"Why are Sensitive Functions Hard for Transformers?","created":"2024-02-15","cited_by_count":74,"area":null},{"id":"2210.05337","title":"SGD with Large Step Sizes Learns Sparse Features","created":"2022-10-11","cited_by_count":68,"area":null},{"id":"2303.03108","title":"Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization","created":"2023-03-03","cited_by_count":57,"area":null},{"id":"2306.10711","title":"PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning","created":"2023-06-19","cited_by_count":42,"area":null},{"id":"2306.03241","title":"Early Weight Averaging meets High Learning Rates for LLM Pre-training","created":"2023-06-05","cited_by_count":37,"area":null},{"id":"2307.11108","title":"Flatness-Aware Minimization for Domain Generalization","created":"2023-07-20","cited_by_count":27,"area":null},{"id":"2305.15287","title":"The Crucial Role of Normalization in Sharpness-Aware Minimization","created":"2023-05-24","cited_by_count":26,"area":null},{"id":"2305.15659","title":"How to escape sharp minima with random perturbations","created":"2023-05-25","cited_by_count":13,"area":null},{"id":"2603.16127","title":"Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning","created":"2026-03-17","cited_by_count":13,"area":null},{"id":"2307.07785","title":"The Interpolating Information Criterion for Overparameterized Models","created":"2023-07-15","cited_by_count":12,"area":null},{"id":"2302.01952","title":"On a continuous time model of gradient descent dynamics and instability in deep learning","created":"2023-02-03","cited_by_count":11,"area":null},{"id":"2502.07274","title":"Forget Forgetting: Continual Learning in a World of Abundant Memory","created":"2025-02-11","cited_by_count":11,"area":null},{"id":"2302.09693","title":"mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization","created":"2023-02-19","cited_by_count":10,"area":null},{"id":"2312.13555","title":"CR-SAM: Curvature Regularized Sharpness-Aware Minimization","created":"2023-12-21","cited_by_count":10,"area":null},{"id":"2412.13573","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","created":"2024-12-18","cited_by_count":10,"area":null},{"id":"2405.20439","title":"Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning","created":"2024-05-30","cited_by_count":9,"area":null},{"id":"2301.07737","title":"Catapult Dynamics and Phase Transitions in Quadratic Nets","created":"2023-01-18","cited_by_count":8,"area":null},{"id":"2601.16979","title":"A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs","created":"2026-01-23","cited_by_count":8,"area":null},{"id":"2411.15111","title":"Learnable Activation Functions in Physics-Informed Neural Networks for Solving Partial Differential Equations","created":"2024-11-22","cited_by_count":7,"area":null},{"id":"2410.22113","title":"Where Do Large Learning Rates Lead Us?","created":"2024-10-29","cited_by_count":6,"area":null},{"id":"2410.13605","title":"Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challenges","created":"2024-10-17","cited_by_count":4,"area":null},{"id":"2603.01192","title":"A Basin-Selection Perspective on Grokking via Singular Learning Theory","created":"2026-03-01","cited_by_count":4,"area":null},{"id":"2307.11948","title":"The instabilities of large learning rate training: a loss landscape view","created":"2023-07-22","cited_by_count":3,"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":"2508.05537","title":"Tractable Sharpness-Aware Learning of Probabilistic Circuits","created":"2025-08-07","cited_by_count":3,"area":null},{"id":"2510.14231","title":"When Flatness Does (Not) Guarantee Adversarial Robustness","created":"2025-10-16","cited_by_count":3,"area":null},{"id":"2306.16205","title":"Towards a Better Understanding of Learning with Multiagent Teams","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2312.03886","title":"On The Fairness Impacts of Hardware Selection in Machine Learning","created":"2023-12-06","cited_by_count":2,"area":null},{"id":"2408.14677","title":"Can Optimization Trajectories Explain Multi-Task Transfer?","created":"2024-08-26","cited_by_count":2,"area":null},{"id":"2409.13173","title":"Bilateral Sharpness-Aware Minimization for Flatter Minima","created":"2024-09-20","cited_by_count":2,"area":null},{"id":"2602.05600","title":"On the Superlinear Relationship between SGD Noise Covariance and Loss Landscape Curvature","created":"2026-02-05","cited_by_count":2,"area":null},{"id":"2403.15210","title":"Early Period of Training Impacts Adaptation for Out-of-Distribution Generalization: An Empirical Study","created":"2024-03-22","cited_by_count":1,"area":null},{"id":"2412.11542","title":"Meta Curvature-Aware Minimization for Domain Generalization","created":"2024-12-16","cited_by_count":1,"area":null},{"id":"2510.07758","title":"R\\'enyi Sharpness: A Novel Sharpness that Strongly Correlates with Generalization","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2605.05436","title":"Estimating Implicit Regularization in Deep Learning","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2305.18402","title":"Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis","created":"2023-05-28","cited_by_count":0,"area":null},{"id":"2305.18490","title":"SANE: The phases of gradient descent through Sharpness Adjusted Number of Effective parameters","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2307.09638","title":"Promoting Exploration in Memory-Augmented Adam using Critical Momenta","created":"2023-07-18","cited_by_count":0,"area":null},{"id":"2403.00798","title":"Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization","created":"2024-02-23","cited_by_count":0,"area":null},{"id":"2405.15895","title":"Manifold Metric: A Loss Landscape Approach for Predicting Model Performance","created":"2024-05-24","cited_by_count":0,"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":"2410.10690","title":"Dynamical loss functions shape landscape topography and improve learning in artificial neural networks","created":"2024-10-14","cited_by_count":0,"area":null},{"id":"2411.16914","title":"Curvature in the Looking-Glass: Optimal Methods to Exploit Curvature of Expectation in the Loss Landscape","created":"2024-11-25","cited_by_count":0,"area":null},{"id":"2412.17613","title":"Can Stability be Detrimental? Better Generalization through Gradient Descent Instabilities","created":"2024-12-23","cited_by_count":0,"area":null},{"id":"2509.23052","title":"Optimization as a Dynamical System: Generative Schedules from Latent ODEs","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2510.09034","title":"Convergence of optimizers implies eigenvalues filtering at equilibrium","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2510.18381","title":"S2AP: Score-space Sharpness Minimization for Adversarial Pruning","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2511.13654","title":"Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning","created":"2025-11-17","cited_by_count":0,"area":null},{"id":"2512.13416","title":"Learning to Generate Cross-Task Unexploitable Examples","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2602.23219","title":"Takeuchi's Information Criteria as Generalization Measures for DNNs Close to NTK Regime","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2605.13652","title":"Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2606.29043","title":"How Far Can Sharpness and Complexity Jointly Explain Generalization?","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2608.12869","title":"A Compositional Theory of Curvature in Probabilistic Circuits","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2609.39099","title":"A Generalisation Signal Need Not Be a Model-Selection Signal","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}