SAMOSA: Sharpness Aware Minimization for Open Set Active learning
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Young In, Agiollo, Andrea, Khanna, Rajiv |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Membership Privacy Risks of Sharpness Aware Minimization
by: Kim, Young In, et al.
Published: (2023)
by: Kim, Young In, et al.
Published: (2023)
Stability Analysis of Sharpness-Aware Minimization
by: Kim, Hoki, et al.
Published: (2023)
by: Kim, Hoki, et al.
Published: (2023)
Navigating Potholes with Geometry-Aware Sharpness Minimization
by: Dufort-Labbé, Simon, et al.
Published: (2026)
by: Dufort-Labbé, Simon, et al.
Published: (2026)
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
by: Tan, Chengli, et al.
Published: (2025)
by: Tan, Chengli, et al.
Published: (2025)
Sharpness-Aware Machine Unlearning
by: Tang, Haoran, et al.
Published: (2025)
by: Tang, Haoran, 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)
Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
by: Chen, Jianlong, et al.
Published: (2026)
by: Chen, Jianlong, 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)
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)
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)
Attributing Data for Sharpness-Aware Minimization
by: Ren, Chenyang, et al.
Published: (2025)
by: Ren, Chenyang, et al.
Published: (2025)
Integrating Machine Learning into Belief-Desire-Intention Agents: Current Advances and Open Challenges
by: Agiollo, Andrea, et al.
Published: (2025)
by: Agiollo, Andrea, et al.
Published: (2025)
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)
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
by: Kim, Kwanyoung, et al.
Published: (2026)
by: Kim, Kwanyoung, et al.
Published: (2026)
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
by: Ciatto, Giovanni, et al.
Published: (2025)
by: Ciatto, Giovanni, et al.
Published: (2025)
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)
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)
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)
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)
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
by: Zhang, Yihao, et al.
Published: (2024)
by: Zhang, Yihao, et al.
Published: (2024)
Large language models as oracles for instantiating ontologies with domain-specific knowledge
by: Ciatto, Giovanni, et al.
Published: (2024)
by: Ciatto, Giovanni, et al.
Published: (2024)
Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
by: Kim, Hee-Sung, et al.
Published: (2026)
by: Kim, Hee-Sung, et al.
Published: (2026)
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)
Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration
by: Amin, Hasan, et al.
Published: (2026)
by: Amin, Hasan, et al.
Published: (2026)
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy
by: Tan, Chengli, et al.
Published: (2024)
by: Tan, Chengli, et al.
Published: (2024)
Tractable Sharpness-Aware Learning of Probabilistic Circuits
by: Suresh, Hrithik, et al.
Published: (2025)
by: Suresh, Hrithik, et al.
Published: (2025)
NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning
by: Xu, Jiayu, et al.
Published: (2026)
by: Xu, Jiayu, et al.
Published: (2026)
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)
Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
by: Belakaria, Syrine, et al.
Published: (2025)
by: Belakaria, Syrine, et al.
Published: (2025)
Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching
by: Gupta, Aditi, et al.
Published: (2026)
by: Gupta, Aditi, et al.
Published: (2026)
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training
by: Chaudhary, Jatin, et al.
Published: (2024)
by: Chaudhary, Jatin, et al.
Published: (2024)
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)
PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models
by: Kang, Seongjae, et al.
Published: (2025)
by: Kang, Seongjae, et al.
Published: (2025)
Sharpness-Aware Minimization with Z-Score Gradient Filtering
by: Yun, Vincent-Daniel
Published: (2025)
by: Yun, Vincent-Daniel
Published: (2025)
Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
by: Jeon, Dongjae, et al.
Published: (2024)
by: Jeon, Dongjae, et al.
Published: (2024)
Active teacher selection for reward learning
by: Freedman, Rachel, et al.
Published: (2023)
by: Freedman, Rachel, et al.
Published: (2023)
Locality-Aware Redundancy Pruning for LLM Depth Compression
by: Yun, Vincent-Daniel, et al.
Published: (2026)
by: Yun, Vincent-Daniel, et al.
Published: (2026)
Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning
by: Lotfi, Fatemeh, et al.
Published: (2025)
by: Lotfi, Fatemeh, et al.
Published: (2025)
Similar Items
-
Membership Privacy Risks of Sharpness Aware Minimization
by: Kim, Young In, et al.
Published: (2023) -
Stability Analysis of Sharpness-Aware Minimization
by: Kim, Hoki, et al.
Published: (2023) -
Navigating Potholes with Geometry-Aware Sharpness Minimization
by: Dufort-Labbé, Simon, et al.
Published: (2026) -
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
by: Tan, Chengli, et al.
Published: (2025) -
Sharpness-Aware Machine Unlearning
by: Tang, Haoran, et al.
Published: (2025)