sharpness-aware minimization

Beyond Sharpness: The Role of Nonuniformity in Generalization AAAI 2026 Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond AAAI 2026 Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract) AAAI 2026 Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections MIDL 2026 On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD AAAI 2026 Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026 TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation ACL 2026 Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation AAAI 2026 Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models AAAI 2026 An Investigative Study on Recent Sharpness- and Flatness-Based Optimizers for Enhanced Self-Supervised Speaker Verification Interspeech 2025 Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025 Avoiding spurious sharpness minimization broadens applicability of SAM ICML 2025 Balanced Sharpness-Aware Minimization for Imbalanced Regression ICCV 2025 Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning CVPR 2025 Critical Influence of Overparameterization on Sharpness-aware Minimization UAI 2025 Does SGD really happen in tiny subspaces? ICLR 2025 Enhancing LLM Knowledge Learning through Generalization EMNLP 2025 Flexible Sharpness-Aware Personalized Federated Learning AAAI 2025 Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification ICML 2025 From Sharpness to Better Generalization for Speech Deepfake Detection Interspeech 2025 Interactive Multimodal Learning via Flat Gradient Modification IJCAI 2025 Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning ICML 2025 Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning ICLR 2025 One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory ICML 2025 Privacy-Preserving Speaker Verification via End-to-End Secure Representation Learning Interspeech 2025