Image de couverture de livre

FADE: Towards Fairness-aware Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lin, Yujie, Li, Dong, Shao, Minglai, Wan, Guihong, Zhao, Chen
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
par: Lin, Yujie, et autres
Publié: (2023)

MLDGG: Meta-Learning for Domain Generalization on Graphs
par: Tian, Qin, et autres
Publié: (2024)

Supervised Algorithmic Fairness in Distribution Shifts: A Survey
par: Shao, Minglai, et autres
Publié: (2024)

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
par: Li, Dong, et autres
Publié: (2024)

Graphs Generalization under Distribution Shifts
par: Tian, Qin, et autres
Publié: (2024)

GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models
par: He, Zhixia, et autres
Publié: (2024)

FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
par: Jiang, Kai, et autres
Publié: (2024)

Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
par: Komanduri, Aneesh, et autres
Publié: (2024)

Hypergraph-Based Dynamic Graph Node Classification
par: Ma, Xiaoxu, et autres
Publié: (2024)

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
par: Chen, Xiaojing, et autres
Publié: (2026)

SkillGen: Learning Domain Skills for In-Context Sequential Decision Making
par: Ding, Ruomeng, et autres
Publié: (2025)

FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
par: Zhu, Yixuan, et autres
Publié: (2025)

Ordering-based Causal Discovery via Generalized Score Matching
par: Vo, Vy, et autres
Publié: (2026)

Score-based Generative Diffusion Models for Social Recommendations
par: Liu, Chengyi, et autres
Publié: (2024)

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
par: Lin, Jinxu, et autres
Publié: (2024)

FADE: Why Bad Descriptions Happen to Good Features
par: Puri, Bruno, et autres
Publié: (2025)

Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
par: Yun, Taeyoung, et autres
Publié: (2024)

Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization
par: Zhou, Tailin, et autres
Publié: (2025)

TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation
par: Zongying, Lin, et autres
Publié: (2024)

Balanced Online Class-Incremental Learning via Dual Classifiers
par: Wen, Shunjie, et autres
Publié: (2025)

Generative Data Mining with Longtail-Guided Diffusion
par: Hayden, David S., et autres
Publié: (2025)

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
par: Zhao, Hanyang, et autres
Publié: (2025)

Diffusion-based Graph Generative Methods
par: Chen, Hongyang, et autres
Publié: (2024)

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
par: Huang, Wei, et autres
Publié: (2025)

GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
par: Sulaiman, Modar, et autres
Publié: (2025)

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
par: Huang, Xiao, et autres
Publié: (2025)

Score-based Generative Modeling for Conditional Independence Testing
par: Ren, Yixin, et autres
Publié: (2025)

Score-based Idempotent Distillation of Diffusion Models
par: Zaman, Shehtab, et autres
Publié: (2025)

Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias
par: Lu, Rui, et autres
Publié: (2025)

Interpretable and Fair Mechanisms for Abstaining Classifiers
par: Lenders, Daphne, et autres
Publié: (2025)

FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
par: Nagesh, Nitish, et autres
Publié: (2025)

Data Fusion-Enhanced Decision Transformer for Stable Cross-Domain Generalization
par: Wang, Guojian, et autres
Publié: (2025)

Diffusion Models without Classifier-free Guidance
par: Tang, Zhicong, et autres
Publié: (2025)

Efficient Controllable Diffusion via Optimal Classifier Guidance
par: Oertell, Owen, et autres
Publié: (2025)

Demystifying the Optimal Fair Classifier in Multi-Class Classification
par: Zhang, Li, et autres
Publié: (2026)

Data Augmentation via Diffusion Model to Enhance AI Fairness
par: Blow, Christina Hastings, et autres
Publié: (2024)

Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation
par: Zhou, Zhijian, et autres
Publié: (2025)

FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
par: Kang, Mintong, et autres
Publié: (2025)

Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
par: Yang, Yu, et autres
Publié: (2026)

PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization
par: Cho, Dong Kyu, et autres
Publié: (2025)