Image de couverture de livre

Gradual Domain Adaptation: Theory and Algorithms

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	He, Yifei, Wang, Haoxiang, Li, Bo, Zhao, Han
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

Gradual Domain Adaptation for Graph Learning
par: Lei, Pui Ieng, et autres
Publié: (2025)

Gradual Domain Adaptation via Normalizing Flows
par: Sagawa, Shogo, et autres
Publié: (2022)

Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
par: Saberi, Amir Hossein, et autres
Publié: (2024)

Semi-Supervised Reward Modeling via Iterative Self-Training
par: He, Yifei, et autres
Publié: (2024)

Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
par: Zeng, Zhichen, et autres
Publié: (2025)

Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation
par: Ma, Yao, et autres
Publié: (2024)

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
par: Wang, Zixi, et autres
Publié: (2025)

Unsupervised Robust Domain Adaptation: Paradigm, Theory and Algorithm
par: Huang, Fuxiang, et autres
Publié: (2025)

Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
par: Wu, Keru, et autres
Publié: (2023)

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

Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
par: Jeeveswaran, Kishaan, et autres
Publié: (2024)

Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective
par: Chen, Zhichao, et autres
Publié: (2026)

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
par: Pham, Thai-Hoang, et autres
Publié: (2024)

MergeBench: A Benchmark for Merging Domain-Specialized LLMs
par: He, Yifei, et autres
Publié: (2025)

Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation
par: Huang, Min, et autres
Publié: (2024)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
par: Zhang, Zhen, et autres
Publié: (2024)

CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
par: Lan, Tian, et autres
Publié: (2025)

Non-stationary Domain Generalization: Theory and Algorithm
par: Pham, Thai-Hoang, et autres
Publié: (2024)

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

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
par: Zhao, Tianxiang, et autres
Publié: (2024)

An Expectation-Maximization Algorithm for Domain Adaptation in Gaussian Causal Models
par: Javidian, Mohammad Ali
Publié: (2026)

Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
par: Chaddad, Ahmad, et autres
Publié: (2025)

Multi-task Domain Adaptation for Computation Offloading in Edge-intelligence Networks
par: Han, Runxin, et autres
Publié: (2025)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
par: Wang, Yilong, et autres
Publié: (2025)

Learning Fair Domain Adaptation with Virtual Label Distribution
par: Zhang, Yuguang, et autres
Publié: (2026)

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
par: Li, Yifei, et autres
Publié: (2025)

On the Benefits of Attribute-Driven Graph Domain Adaptation
par: Fang, Ruiyi, et autres
Publié: (2025)

Feed-Forward Latent Domain Adaptation
par: Bohdal, Ondrej, et autres
Publié: (2022)

Gradually Compacting Large Language Models for Reasoning Like a Boiling Frog
par: Zhao, Yiran, et autres
Publié: (2026)

Performative Reinforcement Learning in Gradually Shifting Environments
par: Rank, Ben, et autres
Publié: (2024)

Gradual Fine-Tuning for Flow Matching Models
par: Thorkelsdottir, Gudrun, et autres
Publié: (2026)

Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
par: Zhang, Zhen, et autres
Publié: (2025)

Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
par: Chen, Wei, et autres
Publié: (2026)

$p$SVM: Soft-margin SVMs with $p$-norm Hinge Loss
par: Sun, Haoxiang
Publié: (2024)

Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum
par: Liu, Hanbing, et autres
Publié: (2024)

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
par: Zhang, Zhen, et autres
Publié: (2025)

Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation
par: Li, Junzhuo, et autres
Publié: (2025)

Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
par: Zhou, Yangxuan, et autres
Publié: (2024)

Partial Identifiability for Domain Adaptation
par: Kong, Lingjing, et autres
Publié: (2023)

Proxy Methods for Domain Adaptation
par: Tsai, Katherine, et autres
Publié: (2024)