Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Jianlong, Zhou, Zhiming |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
by: Zhu, Zhiyu, et al.
Published: (2025)
by: Zhu, Zhiyu, et al.
Published: (2025)
Stability Analysis of Sharpness-Aware Minimization
by: Kim, Hoki, et al.
Published: (2023)
by: Kim, Hoki, et al.
Published: (2023)
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
by: Tan, Chengli, et al.
Published: (2025)
by: Tan, Chengli, et al.
Published: (2025)
Navigating Potholes with Geometry-Aware Sharpness Minimization
by: Dufort-Labbé, Simon, et al.
Published: (2026)
by: Dufort-Labbé, Simon, et al.
Published: (2026)
Membership Privacy Risks of Sharpness Aware Minimization
by: Kim, Young In, et al.
Published: (2023)
by: Kim, Young In, et al.
Published: (2023)
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
by: Luo, Yihong, et al.
Published: (2024)
by: Luo, Yihong, et al.
Published: (2024)
X-SAM: Boosting Sharpness-Aware Minimization with Dominant-Eigenvector Gradient Correction
by: Duan, Hongru, et al.
Published: (2026)
by: Duan, Hongru, et al.
Published: (2026)
SAMOSA: Sharpness Aware Minimization for Open Set Active learning
by: Kim, Young In, et al.
Published: (2025)
by: Kim, Young In, et al.
Published: (2025)
Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization
by: Xu, Le, et al.
Published: (2025)
by: Xu, Le, et al.
Published: (2025)
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
by: Cao, Tianxiao, et al.
Published: (2025)
by: Cao, Tianxiao, et al.
Published: (2025)
Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization
by: Luo, Haocheng, et al.
Published: (2026)
by: Luo, Haocheng, et al.
Published: (2026)
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization
by: Schapiro, Samuel, et al.
Published: (2024)
by: Schapiro, Samuel, et al.
Published: (2024)
Attributing Data for Sharpness-Aware Minimization
by: Ren, Chenyang, et al.
Published: (2025)
by: Ren, Chenyang, et al.
Published: (2025)
Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
by: Moon, Chaewon, et al.
Published: (2026)
by: Moon, Chaewon, et al.
Published: (2026)
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
by: Zhang, Yihao, et al.
Published: (2024)
by: Zhang, Yihao, et al.
Published: (2024)
Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization
by: Gu, Yujie, et al.
Published: (2026)
by: Gu, Yujie, et al.
Published: (2026)
Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy
by: Tan, Chengli, et al.
Published: (2024)
by: Tan, Chengli, et al.
Published: (2024)
Sharpness-Aware Teleportation on Riemannian Manifolds
by: Truong, Tuan, et al.
Published: (2023)
by: Truong, Tuan, et al.
Published: (2023)
Sharpness-Aware Black-Box Optimization
by: Ye, Feiyang, et al.
Published: (2024)
by: Ye, Feiyang, et al.
Published: (2024)
NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning
by: Xu, Jiayu, et al.
Published: (2026)
by: Xu, Jiayu, et al.
Published: (2026)
Tractable Sharpness-Aware Learning of Probabilistic Circuits
by: Suresh, Hrithik, et al.
Published: (2025)
by: Suresh, Hrithik, et al.
Published: (2025)
FedSCAM (Federated Sharpness-Aware Minimization with Clustered Aggregation and Modulation): Scam-resistant SAM for Robust Federated Optimization in Heterogeneous Environments
by: Rahil, Sameer, et al.
Published: (2025)
by: Rahil, Sameer, et al.
Published: (2025)
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
by: Kim, Kwanyoung, et al.
Published: (2026)
by: Kim, Kwanyoung, et al.
Published: (2026)
WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More
by: Yue, Yuxuan, et al.
Published: (2024)
by: Yue, Yuxuan, et al.
Published: (2024)
Forgetful but Faithful: A Cognitive Memory Architecture and Benchmark for Privacy-Aware Generative Agents
by: Alqithami, Saad
Published: (2025)
by: Alqithami, Saad
Published: (2025)
MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning
by: Lu, Yiyang, et al.
Published: (2026)
by: Lu, Yiyang, et al.
Published: (2026)
Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching
by: Gupta, Aditi, et al.
Published: (2026)
by: Gupta, Aditi, et al.
Published: (2026)
A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization
by: Li, Tianle, et al.
Published: (2025)
by: Li, Tianle, et al.
Published: (2025)
Revisiting Transformer Layer Parameterization Through Causal Energy Minimization
by: Xu, Jin, et al.
Published: (2026)
by: Xu, Jin, et al.
Published: (2026)
Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
by: Afolabi, Halimat, et al.
Published: (2026)
by: Afolabi, Halimat, et al.
Published: (2026)
EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
by: Xue, Zhiming, et al.
Published: (2026)
by: Xue, Zhiming, et al.
Published: (2026)
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
by: Agarwal, Shivam, et al.
Published: (2025)
by: Agarwal, Shivam, et al.
Published: (2025)
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
by: Dong, Yushun, et al.
Published: (2024)
by: Dong, Yushun, et al.
Published: (2024)
DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations
by: Guo, Yuhan, et al.
Published: (2025)
by: Guo, Yuhan, et al.
Published: (2025)
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
by: Yang, Yibo, et al.
Published: (2024)
by: Yang, Yibo, et al.
Published: (2024)
Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees
by: Ma, Xiaoyu, et al.
Published: (2026)
by: Ma, Xiaoyu, et al.
Published: (2026)
Sharpness-Aware Minimization with Z-Score Gradient Filtering
by: Yun, Vincent-Daniel
Published: (2025)
by: Yun, Vincent-Daniel
Published: (2025)
GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation
by: Nikitin, Filipp, et al.
Published: (2025)
by: Nikitin, Filipp, et al.
Published: (2025)
Similar Items
-
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
by: Zhu, Zhiyu, et al.
Published: (2025) -
Stability Analysis of Sharpness-Aware Minimization
by: Kim, Hoki, et al.
Published: (2023) -
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
by: Tan, Chengli, et al.
Published: (2025) -
Navigating Potholes with Geometry-Aware Sharpness Minimization
by: Dufort-Labbé, Simon, et al.
Published: (2026) -
Membership Privacy Risks of Sharpness Aware Minimization
by: Kim, Young In, et al.
Published: (2023)