Cover Image

Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Ruipeng, Fan, Ziqing, Yao, Jiangchao, Zhang, Ya, Wang, Yanfeng
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
by: Dai, Tianjie, et al.
Published: (2023)

Bilateral Sharpness-Aware Minimization for Flatter Minima
by: Deng, Jiaxin, et al.
Published: (2024)

Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
by: Hong, Feng, et al.
Published: (2025)

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning
by: Zhao, Zihua, et al.
Published: (2025)

Meta Curvature-Aware Minimization for Domain Generalization
by: Chen, Ziyang, et al.
Published: (2024)

Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
by: Deng, Jiaxin, et al.
Published: (2024)

Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
by: Bui, Anh, et al.
Published: (2024)

Attributing Data for Sharpness-Aware Minimization
by: Ren, Chenyang, et al.
Published: (2025)

Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
by: Luo, Haocheng, et al.
Published: (2025)

Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift
by: Kethavath, Harshith, et al.
Published: (2026)

Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
by: Fan, Ziqing, et al.
Published: (2024)

Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
by: Fan, Ziqing, et al.
Published: (2024)

Momentum-SAM: Sharpness Aware Minimization without Computational Overhead
by: Becker, Marlon, et al.
Published: (2024)

Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
by: Fan, Ziqing, et al.
Published: (2024)

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
by: Wang, Siqi, et al.
Published: (2025)

Domain-Aware Continual Zero-Shot Learning
by: Yi, Kai, et al.
Published: (2021)

Adapting to Distribution Shift by Visual Domain Prompt Generation
by: Chi, Zhixiang, et al.
Published: (2024)

Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks
by: Zou, Jinping, et al.
Published: (2024)

Learning to Instruct for Visual Instruction Tuning
by: Zhou, Zhihan, et al.
Published: (2025)

Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
by: Nowdeh, Hossein R., et al.
Published: (2025)

Online Distillation with Continual Learning for Cyclic Domain Shifts
by: Houyon, Joachim, et al.
Published: (2023)

Latent Domain Modeling Improves Robustness to Geographic Shifts
by: Crasto, Ruth, et al.
Published: (2025)

Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations
by: Son, Ha Min, et al.
Published: (2025)

Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization
by: Deng, Jiaxin, et al.
Published: (2024)

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
by: Wang, Haoxuan, et al.
Published: (2020)

Zero-shot Composed Text-Image Retrieval
by: Liu, Yikun, et al.
Published: (2023)

Clustering-Based Validation Splits for Model Selection under Domain Shift
by: Napoli, Andrea, et al.
Published: (2024)

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
by: Wang, Lei, et al.
Published: (2024)

Dance Style Classification using Laban-Inspired and Frequency-Domain Motion Features
by: Hamscher, Ben, et al.
Published: (2025)

G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models
by: Zhang, Tianjiao, et al.
Published: (2025)

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
by: Liu, Weide, et al.
Published: (2025)

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
by: Chen, Wei, et al.
Published: (2024)

HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss
by: Matin, Abdul, et al.
Published: (2025)

NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning
by: Xu, Jiayu, et al.
Published: (2026)

Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution
by: Chaudhari, Shravan, et al.
Published: (2025)

A Shift in Perspective on Causality in Domain Generalization
by: Machlanski, Damian, et al.
Published: (2025)

Domain-Aware Fine-Tuning of Foundation Models
by: Kaplan, Ugur Ali, et al.
Published: (2024)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
by: Choi, Jaehyun, et al.
Published: (2025)

SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes
by: Yang, Yifan, et al.
Published: (2025)

Preserving Silent Features for Domain Generalization
by: Zhao, Chujie, et al.
Published: (2024)