Image de couverture de livre

Improving Domain Generalization with Domain Relations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yao, Huaxiu, Yang, Xinyu, Pan, Xinyi, Liu, Shengchao, Koh, Pang Wei, Finn, Chelsea
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
par: Zhou, Yiyang, et autres
Publié: (2024)

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
par: Xie, Johnathan, et autres
Publié: (2024)

Conservative Prediction via Data-Driven Confidence Minimization
par: Choi, Caroline, et autres
Publié: (2023)

Out-of-Domain Robustness via Targeted Augmentations
par: Gao, Irena, et autres
Publié: (2023)

Pairwise Alignment Improves Graph Domain Adaptation
par: Liu, Shikun, et autres
Publié: (2024)

Domain Agnostic Conditional Invariant Predictions for Domain Generalization
par: Wang, Zongbin, et autres
Publié: (2024)

Out-Of-Domain Unlabeled Data Improves Generalization
par: Saberi, Amir Hossein, et autres
Publié: (2023)

DATTA: Domain Diversity Aware Test-Time Adaptation for Dynamic Domain Shift Data Streams
par: Ye, Chuyang, et autres
Publié: (2024)

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
par: Zhou, Yiyang, et autres
Publié: (2023)

An Empirical Study on Context Length for Open-Domain Dialog Generation
par: Shen, Xinyi, et autres
Publié: (2024)

Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
par: Yao, Yue, et autres
Publié: (2024)

Fair Domain Generalization: An Information-Theoretic View
par: Lian, Tangzheng, et autres
Publié: (2025)

Feedback Descent: Open-Ended Text Optimization via Pairwise Comparison
par: Lee, Yoonho, et autres
Publié: (2025)

Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations
par: Zhang, Michael, et autres
Publié: (2022)

Domain Adversarial Active Learning for Domain Generalization Classification
par: Chen, Jianting, et autres
Publié: (2024)

MemER: Scaling Up Memory for Robot Control via Experience Retrieval
par: Sridhar, Ajay, et autres
Publié: (2025)

Continuous Domain Generalization
par: Cai, Zekun, et autres
Publié: (2025)

Unknown Domain Inconsistency Minimization for Domain Generalization
par: Shin, Seungjae, et autres
Publié: (2024)

ERM++: An Improved Baseline for Domain Generalization
par: Teterwak, Piotr, et autres
Publié: (2023)

FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization
par: Li, Hongze, et autres
Publié: (2025)

Reinforced Domain Selection for Continuous Domain Adaptation
par: Liu, Hanbing, et autres
Publié: (2025)

SUPRA: Subspace Parameterized Attention for Neural Operator on General Domains
par: Yang, Zherui, et autres
Publié: (2025)

Domain-Generalization to Improve Learning in Meta-Learning Algorithms
par: Anjum, Usman, et autres
Publié: (2025)

Universal Neural Functionals
par: Zhou, Allan, et autres
Publié: (2024)

Generalizing across Temporal Domains with Koopman Operators
par: Zeng, Qiuhao, et autres
Publié: (2024)

Clarify: Improving Model Robustness With Natural Language Corrections
par: Lee, Yoonho, et autres
Publié: (2024)

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

CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
par: Li, Jindong, et autres
Publié: (2025)

Learning Gradient-based Mixup with Extrapolation toward Flatter Minima for Domain Generalization
par: Peng, Danni, et autres
Publié: (2022)

Domain Generalization Guided by Large-Scale Pre-Trained Priors
par: Wang, Zongbin, et autres
Publié: (2024)

Graph Augmentation for Cross Graph Domain Generalization
par: Chen, Guanzi, et autres
Publié: (2025)

Relation-Aware Slicing in Cross-Domain Alignment
par: Sarkar, Dhruv, et autres
Publié: (2025)

From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function
par: Rafailov, Rafael, et autres
Publié: (2024)

Separation and Collaboration: Two-Level Routing Grouped Mixture-of-Experts for Multi-Domain Continual Learning
par: Zhou, Jialu, et autres
Publié: (2025)

How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
par: Dwork, Cynthia, et autres
Publié: (2025)

Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
par: Liu, Yuejiang, et autres
Publié: (2024)

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
par: Wang, Siqi, et autres
Publié: (2025)

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
par: Wei, Tianxin, et autres
Publié: (2025)

DSP-Reg: Domain-Sensitive Parameter Regularization for Robust Domain Generalization
par: Han, Xudong, et autres
Publié: (2026)

It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF
par: Lu, Taiming, et autres
Publié: (2024)