flat minima

A Flat Minima Perspective on Understanding Augmentations and Model Robustness AAAI 2026 Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning UAI 2026 Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond AAAI 2026 Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR 2026 On the Stability of Nonlinear Dynamics in GD and SGD: Beyond Quadratic Potentials COLT 2026 Tractable Sharpness-Aware Learning of Probabilistic Circuits AAAI 2026 A Method for Enhancing Generalization of Adam by Multiple Integrations AAAI 2025 An Investigative Study on Recent Sharpness- and Flatness-Based Optimizers for Enhanced Self-Supervised Speaker Verification Interspeech 2025 A PAC-Bayesian Link Between Generalisation and Flat Minima ALT 2025 Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models CVPR 2025 Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning ICLR 2025 Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025 Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning ICLR 2025 Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes CVPR 2025 Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations NAACL 2025 Tilted Sharpness-Aware Minimization ICML 2025 Understanding Flatness in Generative Models: Its Role and Benefits ICCV 2025 Deep linear networks for regression are implicitly regularized towards flat minima NeurIPS 2024 How to Escape Sharp Minima with Random Perturbations ICML 2024 Improving Generalization and Convergence by Enhancing Implicit Regularization NeurIPS 2024 Improving Sharpness-Aware Minimization by Lookahead ICML 2024 Make Continual Learning Stronger via C-Flat NeurIPS 2024 Rethinking the Flat Minima Searching in Federated Learning ICML 2024 Towards Unsupervised Model Selection for Domain Adaptive Object Detection NeurIPS 2024 Unknown Domain Inconsistency Minimization for Domain Generalization ICLR 2024