sharpness-aware minimization

The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima JMLR 2023 Towards Bridging the Performance Gaps of Joint Energy-Based Models CVPR 2023 Towards Stable Test-time Adaptation in Dynamic Wild World ICLR 2023 Why Does Sharpness-Aware Minimization Generalize Better Than SGD? NeurIPS 2023 Efficient Sharpness-aware Minimization for Improved Training of Neural Networks ICLR 2022 Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data NeurIPS 2022 Fisher SAM: Information Geometry and Sharpness Aware Minimisation ICML 2022 GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization EMNLP 2022 Generalized Federated Learning via Sharpness Aware Minimization ICML 2022 Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models EMNLP 2022 Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach NeurIPS 2022 Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning ICML 2022 Random Sharpness-Aware Minimization NeurIPS 2022 Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning ICML 2022 Sharpness-Aware Minimization Improves Language Model Generalization ACL 2022 Sharpness-Aware Minimization with Dynamic Reweighting EMNLP 2022 Sharpness-Aware Training for Free NeurIPS 2022 Surrogate Gap Minimization Improves Sharpness-Aware Training ICLR 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 Towards Understanding Sharpness-Aware Minimization ICML 2022 Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models EMNLP 2022 When Do Flat Minima Optimizers Work? NeurIPS 2022 ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks ICML 2021 Sharpness-aware Minimization for Efficiently Improving Generalization ICLR 2021 UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth SemEval 2021